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Fed Pract
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gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
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Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
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pedophilia
poker
porn
pornography
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recreational drug
sex slave rings
slot machine
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Texas hold 'em
UFC
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bunges
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butt
butt fuck
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buttfucked
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cock sucker
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.

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Statin-Induced Necrotizing Autoimmune Myopathy in a Patient With Complex Diabetes Management

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Statin-Induced Necrotizing Autoimmune Myopathy in a Patient With Complex Diabetes Management

Muscle-related complaints occur in 7% to 25% of patients taking statin medications.1 In most instances, these adverse effects are quickly resolved when the medication is discontinued, but in rare occurrences, the statin can trigger an autoimmune response that progresses even after stopping use. This uncommon condition is typically accompanied by symmetrical proximal muscle weakness and an elevated CPK leading to a necrotizing myopathy requiring treatment with immunosuppressive therapy. Although less common, some patients may also present with dysphagia, myalgia, weight loss, and/or skin rash.1

Statin medications have been the cornerstone of lipid-lowering therapy due to their mechanism of inhibiting 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), which is the rate-limiting step within the cholesterol synthesis pathway to produce mevalonic acid. There is a proven genetic association with human leukocyte antigen (HLA)-DRB1*11:01 in adults and anti-HMGCR–associated myopathy.1 The incidence of statin-induced necrotizing autoimmune myopathy (SINAM) in relation to each specific statin agent remains unknown; however, a systematic review of case reports found higher correlations for atorvastatin and simvastatin.2

There are 2 ways to confirm a SINAM diagnosis. The first and simplest includes checking for the presence of antibodies against HMGCR. The anti-HMGCR antibody test is typically used as a definitive diagnosis because it has a high specificity for SINAM.3 The second and more invasive diagnosis method involves a muscle biopsy, which is identified as positive if the biopsy shows the presence of necrotic muscle fibers.1,3

The anti-HMGCR antibody test can serve as a marker for disease activity because the antibodies are strongly correlated with CPK levels.1 CPK levels indicate the severity of muscle injury and is often used in addition to either of the confirmatory tests because it is faster and less expensive. Anti-HMGCR titers may remain positive while CPK returns to baseline when SINAM is dormant. In addition, clinicians may use an electromyography (EMG) test to measure the muscle response in association to nerve stimulation. 1 This test can show potential features of myopathic lesions such as positive sharp waves, spontaneous fibrillations, or myotonic repetitive potentials.

Typical treatment includes glucocorticoids as first-line agents, but SINAM can be difficult to treat due to its complicated pathophysiology processes.3 Escalation of therapy is sometimes required beyond a single agent; in these complex scenarios, methotrexate and/or intravenous (IV) immunoglobulin (IVIG) therapy are frequently added to the steroid therapy. There have been concerns with steroid use in specific patient populations due to the undesired adverse effect (AE) profile, and as a result IVIG has been used as monotherapy at a dose of 2 g/kg per month.3 Studies looking at IVIG monotherapy showed a reduction in CPK levels and improvement in strength after just 2 to 3 rounds of monthly treatment.3 Some patients receiving IVIG monotherapy even achieved baseline strength and no longer reported muscle-related symptoms, although the total treatment duration varied. A systematic review of 39 articles where glucocorticoids, IVIG, methotrexate and/or a combination were used to treat SINAM found an average time to remission of 8.6 months. Additionally, this systematic review observed more patients returned to baseline or experienced improvement in symptoms when being treated with a combination of glucocorticoid plus IVIG plus methotrexate.2 Suggested dosing recommendations are available in Table 1.

FDP04204176_T1

Patients diagnosed with HMGCR antibody myopathy are contraindicated for future statin therapy.1 Rechallenge of statins in this patient population has led to worsening of disease and therefore these patients should have a severe statin allergy listed in their medical documentation record.

CASE PRESENTATION

A 59-year-old male patient with a medical history including atrial fibrillation, peripheral vascular disease, type 2 diabetes mellitus (T2DM), hypertension, and peripheral neuropathy was referred by his primary care clinical pharmacist practitioner for an outpatient neurology consult. The patient reported a 4-month history of fatigue, lower extremity paresthesia, and progressive proximal muscle weakness which began in his legs, mostly noticeable when walking upstairs but quickly developed into bilateral arm weakness. The patient reported significant impact on his quality of life: he could no longer lift his arms above his head and had difficulty with daily activities such as brushing his hair or getting up from a chair. He reported multiple falls at home, and began to use a cane for assistance with ambulation. He confirmed adherence to atorvastatin over the past year. Laboratory testing on the day of the visit revealed an elevated CPK level at 9729 mcg/L (reference range for men, 30-300 mcg/L).

The patient was urged to go to the emergency department where his CPK level had increased to 12,990 mcg/L (Figure 1). The workup began to find the source of rhabdomyolysis and elevated liver enzymes differentiating autoimmune vs medication-induced myopathy. Upon admission atorvastatin was discontinued, anti-HMGCR antibody level was ordered, and IV fluids were started.

FDP04204176_F1

After 8 days of hospital admission with minimal improvement, Rheumatology and Neurology services were consulted in the setting of persistent CPK elevation and the potential neuropathic component of muscle weakness. Both consulting services agreed to consider muscle biopsy and EMG if the patient did not begin to show signs of improvement. The patient’s CPK levels remained elevated with minimal change in muscle weakness. The next step was a right quadricep muscle biopsy performed on Day 14 of admission. Sixteen days after admission, the anti-HMGCR antibody test (originally obtained upon admission) was positive and elevated at 249 CU/mL (reference range, < 20 CU/mL negative; reference range, ≥ 60 CU/mL strong positive), which confirmed the SINAM diagnosis (Table 2).

FDP04204176_T2

On Day 17 of hospitalization, the Neurology service initiated IVIG monotherapy to avoid the undesired glycemic AEs associated with glucocorticoids. The patient had a history of T2DM that was difficult to manage and his hemoglobin A1c level was the best it had ever been (6.2%) relative to a peak A1c of 11.0% 9 months prior. The patient was treated with a total IVIG dose of 2 g/kg divided into 3 daily doses while still obtaining CPK levels with daily laboratory tests to assist with trending the extent of disease severity improvement (Figures 2-4). After a 20-day hospital stay, the patient was discharged home with rehabilitation services and a scheduled outpatient EMG the following week.

FDP04204176_F2FDP04204176_F3FDP04204176_F4

The patient continued to report generalized body weakness, pain, and deconditioning upon discharge and was unable to attend the EMG neurology appointment. The patient did eventually attend a follow-up appointment about 6 weeks after hospital discharge and reported continued weakness. The Neurology service prescribed a 2-day IVIG regimen (total dose = 2 g/kg) monthly for the next 2 months. The patient returned to the neurology clinic 8 weeks later following 2 rounds of IVIG posthospitalization and reported that his muscle strength was returning, and he was able to slowly reintroduce exercise into his daily routine. During a follow-up appointment about 11 months after the initial hospitalization, the patient’s primary care clinical pharmacist provided education of effective management of cholesterol without statins, including use of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors as recommended by the Neurology service. At this time, the patient’s calculated low-density lipoprotein (LDL) was 110 mg/dL (reference range, 0-99 mg/dL). The patient preferred to work on a healthy diet and positive lifestyle choices before trialing any lipid lowering therapies.

The patient appeared to tolerate this treatment regimen following 7 rounds of IVIG. He noted fatigue for about 24 hours after his infusion sessions but otherwise reported no additional AEs. He has continued to attend weekly physical therapy sessions and is able to walk without the assistance of a cane. He can now walk a mile before he begins to feel fatigued or experience bilateral lower leg pain. The pain appears neuropathic in nature, as the patient reports ongoing “pins and needles” sensation in his legs and feet. The patient has noticed a major improvement in his overall function, strength, and exercise tolerance since starting IVIG treatments and although he is not yet back to his baseline, he is motivated to continue his recovery. Neurology is considering ongoing treatment with IVIG monthly infusions given his continued clinical improvement.

DISCUSSION

There is limited evidence on the use of IVIG monotherapy for SINAM, although it may be a viable option for patients deemed poor candidates for glucocorticoid or methotrexate therapy. This particularly applies to patients with DM for which there may be concerns for managing blood glucose levels with steroid use. The Johns Hopkins Myositis Center evaluated 3 patients with SINAM who declined glucocorticoid therapy and had documented DM and weakness in the proximal arms and legs. Following 2 to 3 monthly rounds of IVIG 2 g/kg monotherapy, these patients had reduced CPK levels and had improvement in both arm and hip-flexion strength. Two patients reported no muscle-related symptoms after completing IVIG monotherapy treatment for 9 and 19 months.3

The optimal treatment duration for IVIG monotherapy for SINAM is still uncertain given the limited available data. The patient in this case report showed clinically significant muscle-related improvement following 7 monthly rounds of 2 g/kg IVIG treatments. The mechanism of action for IVIG in this setting is still unknown, although the medication may allow muscle regeneration to surpass muscle destruction, thus leading to resolution of the muscle-related symptoms.3

There are numerous concerns with IVIG use to consider prior to initiating treatment, including expense, AEs, patient response, and comorbidities. IVIG is considerably more expensive than glucocorticoid and methotrexate alternatives. Systemic reactions have been shown to occur in 5% to 15% of patients receiving IVIG infusion.4 The majority of these infusion reactions occur early during infusion or within a few hours after administration is complete.5 Early AEs to monitor for include injection site reactions, flu-like symptoms, dermatologic reactions, anaphylaxis, transfusion-related acute lung injury, and transfusion-associated circulatory overload. Additional AEs may be delayed, including thromboembolic events, acute kidney injury, aseptic meningitis, hemolysis, neutropenia, and blood-borne infection.6 IVIG has a boxed warning for thrombosis, renal dysfunction, and acute renal failure risk.7 There are multiple strategies documented to reduce the risk of IVIG reactions including slowing the infusion rate, ensuring adequate hydration, and/or giving analgesics, antihistamines, or steroids prior to infusion.6 The patient in this case had monthly IVIG infusions without the need of any pretreatment medications and only reported fatigue for about 24 hours following the infusion.

An essential question is how to provide safe cholesterol management for patients with SINAM. Some evidence has suggested that other lipid-lowering medications that avoid the mevalonate pathway, such as fenofibrate or ezetimibe, may be used cautiously initially at lower doses.1 Due to the severity of SINAM, it is crucial to closely monitor and ensure tolerability as new lipid-lowering agents are introduced. More evidence suggests that PCSK9 inhibitors are a safer option.8 PCSK9 inhibitors avoid the mevalonate pathway and block PCSK9 from binding to LDL receptors, allowing LDL to be removed from circulation.

Tiniakou et al followed 8 individuals for a mean 1.5 years who had anti-HMGCR immune-mediated myopathy at high cardiovascular risk. Muscle strength, CPK levels, and serum anti-HMGCR antibody titers were assessed at baseline and again after initiation of PCSK9 inhibitor. None of the patients experienced a decline in their muscle strength. CPK, anti-HMGCR antibody levels, and LDL trended down in all participants and 2 patients were able to reduce their immunosuppression treatment while still achieving clinical improvement. Tiniakou et al suggest that PCSK9 inhibitors are a safe and effective option to lower cholesterol in patients with SINAM.8

Alirocumab is the preferred PCSK9 inhibitor for patients at the US Department of Veterans Affairs (VA). The VA Pharmacy Benefits Management (PBM) Service guidance recommends alirocumab for patients with a history of atherosclerotic cardiovascular disease (ASCVD) or severe hypercholesterolemia.9 PBM guidance suggests alirocumab use for patients with a contraindication, intolerance, or insufficient LDL reduction with a maximally tolerated dose of statin and ezetimibe with a desire to reduce ASCVD risk by lowering LDL. Per the PBM Criteria for Use guidance, patients should follow the stepwise approach and trial ezetimibe prior to being considered for PCSK9 inhibitor therapy. Given the patient’s contraindication to future statin use and severity of myopathy, in this case the Neurology Service felt that the safest option to reach goal LDL reduction would be a PCSK9 inhibitor. Consideration can be made for alirocumab use when considering an alternative lipid lowering therapy.

CONCLUSIONS

This report demonstrates a case of SINAM caused by atorvastatin therapy. Patients presenting with proximal muscle weakness and elevated CPK even after statin discontinuation should be considered for a full workup to determine whether SINAM may be involved. This uncommon form of myopathy can be diagnosed based on the detection of anti-HMGCR antibodies and/or presence of necrosis on muscle biopsy. A combination of glucocorticoid, methotrexate, and IVIG is recommended for a patient’s best chance of muscle symptom improvement. IVIG monotherapy should be considered for patients with glycemic control concerns.

References
  1. Tiniakou E. Statin-associated autoimmune myopathy: current perspectives. Ther Clin Risk Manag. 2020;16:483-492. doi:10.2147/TCRM.S197941
  2. Somagutta MKR, Shama N, Pormento MKL, et al. Statin-induced necrotizing autoimmune myopathy: a systematic review. Reumatologia. 2022;60(1):63-69. doi:10.5114/reum.2022.114108
  3. Mammen AL, Tiniakou E. Intravenous immune globulin for statin-triggered autoimmune myopathy. N Engl J Med. 2015;373(17):1680-1682. doi:10.1056/NEJMc1506163
  4. Stiehm ER. Adverse effects of human immunoglobulin therapy. Transfus Med Rev. 2013;27(3):171-178. doi:10.1016/j.tmrv.2013.05.004
  5. Ameratunga R, Sinclair J, Kolbe J. Increased risk of adverse events when changing intravenous immunoglobulin preparations. Clin Exp Immunol. 2004;136(1):111-113. doi:10.1111/j.1365-2249.2004.02412.x
  6. Abbas A, Rajabally YA. Complications of immunoglobulin therapy and implications for treatment of inflammatory neuropathy: a review. Curr Drug Saf. 2019;14(1):3-13. doi:10.2174/1574886313666181017121139
  7. Privigen. Prescribing information. CSL Behring LLC; 2022. Accessed March 17, 2025. https://labeling.cslbehring.com/PI/US/Privigen/EN/Privigen-Prescribing-Information.pdf
  8. Tiniakou E, Rivera E, Mammen AL, Christopher-Stine L. Use of proprotein convertase subtilisin/Kexin Type 9 inhibitors in statin-associated immune-mediated necrotizing myopathy: a case series. Arthritis Rheumatol. 2019;71(10):1723-1726. doi:10.1002/art.40919
  9. US Department of Veterans Affairs, Pharmacy Benefits Management (PBM) Services. Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9 Inhibitor) (Alirocumabpreferred, Evolocumab-non-preferred) Criteria for Use. June 2024. Accessed March 25, 2025. https://www.va.gov/formularyadvisor/DOC/128
  10. Jayatilaka S, Desai K, Rijal S, Zimmerman D. Statin-induced autoimmune necrotizing myopathy. J Prim Care Community Health. 2021;12:21501327211028714. doi:10.1177/21501327211028714
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Emma M. Laspe, PharmDa; Nathaniel Daugherty, PharmD, BCPSa

Correspondence: Emma Laspe (emma.laspe@va.gov)

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aKansas City Veterans Affairs Medical Center, Missouri

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(4). Published online April 12. doi:10.12788/fp.0552

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Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(4). Published online April 12. doi:10.12788/fp.0552

Author and Disclosure Information

Emma M. Laspe, PharmDa; Nathaniel Daugherty, PharmD, BCPSa

Correspondence: Emma Laspe (emma.laspe@va.gov)

Author affiliations
aKansas City Veterans Affairs Medical Center, Missouri

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(4). Published online April 12. doi:10.12788/fp.0552

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Article PDF

Muscle-related complaints occur in 7% to 25% of patients taking statin medications.1 In most instances, these adverse effects are quickly resolved when the medication is discontinued, but in rare occurrences, the statin can trigger an autoimmune response that progresses even after stopping use. This uncommon condition is typically accompanied by symmetrical proximal muscle weakness and an elevated CPK leading to a necrotizing myopathy requiring treatment with immunosuppressive therapy. Although less common, some patients may also present with dysphagia, myalgia, weight loss, and/or skin rash.1

Statin medications have been the cornerstone of lipid-lowering therapy due to their mechanism of inhibiting 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), which is the rate-limiting step within the cholesterol synthesis pathway to produce mevalonic acid. There is a proven genetic association with human leukocyte antigen (HLA)-DRB1*11:01 in adults and anti-HMGCR–associated myopathy.1 The incidence of statin-induced necrotizing autoimmune myopathy (SINAM) in relation to each specific statin agent remains unknown; however, a systematic review of case reports found higher correlations for atorvastatin and simvastatin.2

There are 2 ways to confirm a SINAM diagnosis. The first and simplest includes checking for the presence of antibodies against HMGCR. The anti-HMGCR antibody test is typically used as a definitive diagnosis because it has a high specificity for SINAM.3 The second and more invasive diagnosis method involves a muscle biopsy, which is identified as positive if the biopsy shows the presence of necrotic muscle fibers.1,3

The anti-HMGCR antibody test can serve as a marker for disease activity because the antibodies are strongly correlated with CPK levels.1 CPK levels indicate the severity of muscle injury and is often used in addition to either of the confirmatory tests because it is faster and less expensive. Anti-HMGCR titers may remain positive while CPK returns to baseline when SINAM is dormant. In addition, clinicians may use an electromyography (EMG) test to measure the muscle response in association to nerve stimulation. 1 This test can show potential features of myopathic lesions such as positive sharp waves, spontaneous fibrillations, or myotonic repetitive potentials.

Typical treatment includes glucocorticoids as first-line agents, but SINAM can be difficult to treat due to its complicated pathophysiology processes.3 Escalation of therapy is sometimes required beyond a single agent; in these complex scenarios, methotrexate and/or intravenous (IV) immunoglobulin (IVIG) therapy are frequently added to the steroid therapy. There have been concerns with steroid use in specific patient populations due to the undesired adverse effect (AE) profile, and as a result IVIG has been used as monotherapy at a dose of 2 g/kg per month.3 Studies looking at IVIG monotherapy showed a reduction in CPK levels and improvement in strength after just 2 to 3 rounds of monthly treatment.3 Some patients receiving IVIG monotherapy even achieved baseline strength and no longer reported muscle-related symptoms, although the total treatment duration varied. A systematic review of 39 articles where glucocorticoids, IVIG, methotrexate and/or a combination were used to treat SINAM found an average time to remission of 8.6 months. Additionally, this systematic review observed more patients returned to baseline or experienced improvement in symptoms when being treated with a combination of glucocorticoid plus IVIG plus methotrexate.2 Suggested dosing recommendations are available in Table 1.

FDP04204176_T1

Patients diagnosed with HMGCR antibody myopathy are contraindicated for future statin therapy.1 Rechallenge of statins in this patient population has led to worsening of disease and therefore these patients should have a severe statin allergy listed in their medical documentation record.

CASE PRESENTATION

A 59-year-old male patient with a medical history including atrial fibrillation, peripheral vascular disease, type 2 diabetes mellitus (T2DM), hypertension, and peripheral neuropathy was referred by his primary care clinical pharmacist practitioner for an outpatient neurology consult. The patient reported a 4-month history of fatigue, lower extremity paresthesia, and progressive proximal muscle weakness which began in his legs, mostly noticeable when walking upstairs but quickly developed into bilateral arm weakness. The patient reported significant impact on his quality of life: he could no longer lift his arms above his head and had difficulty with daily activities such as brushing his hair or getting up from a chair. He reported multiple falls at home, and began to use a cane for assistance with ambulation. He confirmed adherence to atorvastatin over the past year. Laboratory testing on the day of the visit revealed an elevated CPK level at 9729 mcg/L (reference range for men, 30-300 mcg/L).

The patient was urged to go to the emergency department where his CPK level had increased to 12,990 mcg/L (Figure 1). The workup began to find the source of rhabdomyolysis and elevated liver enzymes differentiating autoimmune vs medication-induced myopathy. Upon admission atorvastatin was discontinued, anti-HMGCR antibody level was ordered, and IV fluids were started.

FDP04204176_F1

After 8 days of hospital admission with minimal improvement, Rheumatology and Neurology services were consulted in the setting of persistent CPK elevation and the potential neuropathic component of muscle weakness. Both consulting services agreed to consider muscle biopsy and EMG if the patient did not begin to show signs of improvement. The patient’s CPK levels remained elevated with minimal change in muscle weakness. The next step was a right quadricep muscle biopsy performed on Day 14 of admission. Sixteen days after admission, the anti-HMGCR antibody test (originally obtained upon admission) was positive and elevated at 249 CU/mL (reference range, < 20 CU/mL negative; reference range, ≥ 60 CU/mL strong positive), which confirmed the SINAM diagnosis (Table 2).

FDP04204176_T2

On Day 17 of hospitalization, the Neurology service initiated IVIG monotherapy to avoid the undesired glycemic AEs associated with glucocorticoids. The patient had a history of T2DM that was difficult to manage and his hemoglobin A1c level was the best it had ever been (6.2%) relative to a peak A1c of 11.0% 9 months prior. The patient was treated with a total IVIG dose of 2 g/kg divided into 3 daily doses while still obtaining CPK levels with daily laboratory tests to assist with trending the extent of disease severity improvement (Figures 2-4). After a 20-day hospital stay, the patient was discharged home with rehabilitation services and a scheduled outpatient EMG the following week.

FDP04204176_F2FDP04204176_F3FDP04204176_F4

The patient continued to report generalized body weakness, pain, and deconditioning upon discharge and was unable to attend the EMG neurology appointment. The patient did eventually attend a follow-up appointment about 6 weeks after hospital discharge and reported continued weakness. The Neurology service prescribed a 2-day IVIG regimen (total dose = 2 g/kg) monthly for the next 2 months. The patient returned to the neurology clinic 8 weeks later following 2 rounds of IVIG posthospitalization and reported that his muscle strength was returning, and he was able to slowly reintroduce exercise into his daily routine. During a follow-up appointment about 11 months after the initial hospitalization, the patient’s primary care clinical pharmacist provided education of effective management of cholesterol without statins, including use of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors as recommended by the Neurology service. At this time, the patient’s calculated low-density lipoprotein (LDL) was 110 mg/dL (reference range, 0-99 mg/dL). The patient preferred to work on a healthy diet and positive lifestyle choices before trialing any lipid lowering therapies.

The patient appeared to tolerate this treatment regimen following 7 rounds of IVIG. He noted fatigue for about 24 hours after his infusion sessions but otherwise reported no additional AEs. He has continued to attend weekly physical therapy sessions and is able to walk without the assistance of a cane. He can now walk a mile before he begins to feel fatigued or experience bilateral lower leg pain. The pain appears neuropathic in nature, as the patient reports ongoing “pins and needles” sensation in his legs and feet. The patient has noticed a major improvement in his overall function, strength, and exercise tolerance since starting IVIG treatments and although he is not yet back to his baseline, he is motivated to continue his recovery. Neurology is considering ongoing treatment with IVIG monthly infusions given his continued clinical improvement.

DISCUSSION

There is limited evidence on the use of IVIG monotherapy for SINAM, although it may be a viable option for patients deemed poor candidates for glucocorticoid or methotrexate therapy. This particularly applies to patients with DM for which there may be concerns for managing blood glucose levels with steroid use. The Johns Hopkins Myositis Center evaluated 3 patients with SINAM who declined glucocorticoid therapy and had documented DM and weakness in the proximal arms and legs. Following 2 to 3 monthly rounds of IVIG 2 g/kg monotherapy, these patients had reduced CPK levels and had improvement in both arm and hip-flexion strength. Two patients reported no muscle-related symptoms after completing IVIG monotherapy treatment for 9 and 19 months.3

The optimal treatment duration for IVIG monotherapy for SINAM is still uncertain given the limited available data. The patient in this case report showed clinically significant muscle-related improvement following 7 monthly rounds of 2 g/kg IVIG treatments. The mechanism of action for IVIG in this setting is still unknown, although the medication may allow muscle regeneration to surpass muscle destruction, thus leading to resolution of the muscle-related symptoms.3

There are numerous concerns with IVIG use to consider prior to initiating treatment, including expense, AEs, patient response, and comorbidities. IVIG is considerably more expensive than glucocorticoid and methotrexate alternatives. Systemic reactions have been shown to occur in 5% to 15% of patients receiving IVIG infusion.4 The majority of these infusion reactions occur early during infusion or within a few hours after administration is complete.5 Early AEs to monitor for include injection site reactions, flu-like symptoms, dermatologic reactions, anaphylaxis, transfusion-related acute lung injury, and transfusion-associated circulatory overload. Additional AEs may be delayed, including thromboembolic events, acute kidney injury, aseptic meningitis, hemolysis, neutropenia, and blood-borne infection.6 IVIG has a boxed warning for thrombosis, renal dysfunction, and acute renal failure risk.7 There are multiple strategies documented to reduce the risk of IVIG reactions including slowing the infusion rate, ensuring adequate hydration, and/or giving analgesics, antihistamines, or steroids prior to infusion.6 The patient in this case had monthly IVIG infusions without the need of any pretreatment medications and only reported fatigue for about 24 hours following the infusion.

An essential question is how to provide safe cholesterol management for patients with SINAM. Some evidence has suggested that other lipid-lowering medications that avoid the mevalonate pathway, such as fenofibrate or ezetimibe, may be used cautiously initially at lower doses.1 Due to the severity of SINAM, it is crucial to closely monitor and ensure tolerability as new lipid-lowering agents are introduced. More evidence suggests that PCSK9 inhibitors are a safer option.8 PCSK9 inhibitors avoid the mevalonate pathway and block PCSK9 from binding to LDL receptors, allowing LDL to be removed from circulation.

Tiniakou et al followed 8 individuals for a mean 1.5 years who had anti-HMGCR immune-mediated myopathy at high cardiovascular risk. Muscle strength, CPK levels, and serum anti-HMGCR antibody titers were assessed at baseline and again after initiation of PCSK9 inhibitor. None of the patients experienced a decline in their muscle strength. CPK, anti-HMGCR antibody levels, and LDL trended down in all participants and 2 patients were able to reduce their immunosuppression treatment while still achieving clinical improvement. Tiniakou et al suggest that PCSK9 inhibitors are a safe and effective option to lower cholesterol in patients with SINAM.8

Alirocumab is the preferred PCSK9 inhibitor for patients at the US Department of Veterans Affairs (VA). The VA Pharmacy Benefits Management (PBM) Service guidance recommends alirocumab for patients with a history of atherosclerotic cardiovascular disease (ASCVD) or severe hypercholesterolemia.9 PBM guidance suggests alirocumab use for patients with a contraindication, intolerance, or insufficient LDL reduction with a maximally tolerated dose of statin and ezetimibe with a desire to reduce ASCVD risk by lowering LDL. Per the PBM Criteria for Use guidance, patients should follow the stepwise approach and trial ezetimibe prior to being considered for PCSK9 inhibitor therapy. Given the patient’s contraindication to future statin use and severity of myopathy, in this case the Neurology Service felt that the safest option to reach goal LDL reduction would be a PCSK9 inhibitor. Consideration can be made for alirocumab use when considering an alternative lipid lowering therapy.

CONCLUSIONS

This report demonstrates a case of SINAM caused by atorvastatin therapy. Patients presenting with proximal muscle weakness and elevated CPK even after statin discontinuation should be considered for a full workup to determine whether SINAM may be involved. This uncommon form of myopathy can be diagnosed based on the detection of anti-HMGCR antibodies and/or presence of necrosis on muscle biopsy. A combination of glucocorticoid, methotrexate, and IVIG is recommended for a patient’s best chance of muscle symptom improvement. IVIG monotherapy should be considered for patients with glycemic control concerns.

Muscle-related complaints occur in 7% to 25% of patients taking statin medications.1 In most instances, these adverse effects are quickly resolved when the medication is discontinued, but in rare occurrences, the statin can trigger an autoimmune response that progresses even after stopping use. This uncommon condition is typically accompanied by symmetrical proximal muscle weakness and an elevated CPK leading to a necrotizing myopathy requiring treatment with immunosuppressive therapy. Although less common, some patients may also present with dysphagia, myalgia, weight loss, and/or skin rash.1

Statin medications have been the cornerstone of lipid-lowering therapy due to their mechanism of inhibiting 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), which is the rate-limiting step within the cholesterol synthesis pathway to produce mevalonic acid. There is a proven genetic association with human leukocyte antigen (HLA)-DRB1*11:01 in adults and anti-HMGCR–associated myopathy.1 The incidence of statin-induced necrotizing autoimmune myopathy (SINAM) in relation to each specific statin agent remains unknown; however, a systematic review of case reports found higher correlations for atorvastatin and simvastatin.2

There are 2 ways to confirm a SINAM diagnosis. The first and simplest includes checking for the presence of antibodies against HMGCR. The anti-HMGCR antibody test is typically used as a definitive diagnosis because it has a high specificity for SINAM.3 The second and more invasive diagnosis method involves a muscle biopsy, which is identified as positive if the biopsy shows the presence of necrotic muscle fibers.1,3

The anti-HMGCR antibody test can serve as a marker for disease activity because the antibodies are strongly correlated with CPK levels.1 CPK levels indicate the severity of muscle injury and is often used in addition to either of the confirmatory tests because it is faster and less expensive. Anti-HMGCR titers may remain positive while CPK returns to baseline when SINAM is dormant. In addition, clinicians may use an electromyography (EMG) test to measure the muscle response in association to nerve stimulation. 1 This test can show potential features of myopathic lesions such as positive sharp waves, spontaneous fibrillations, or myotonic repetitive potentials.

Typical treatment includes glucocorticoids as first-line agents, but SINAM can be difficult to treat due to its complicated pathophysiology processes.3 Escalation of therapy is sometimes required beyond a single agent; in these complex scenarios, methotrexate and/or intravenous (IV) immunoglobulin (IVIG) therapy are frequently added to the steroid therapy. There have been concerns with steroid use in specific patient populations due to the undesired adverse effect (AE) profile, and as a result IVIG has been used as monotherapy at a dose of 2 g/kg per month.3 Studies looking at IVIG monotherapy showed a reduction in CPK levels and improvement in strength after just 2 to 3 rounds of monthly treatment.3 Some patients receiving IVIG monotherapy even achieved baseline strength and no longer reported muscle-related symptoms, although the total treatment duration varied. A systematic review of 39 articles where glucocorticoids, IVIG, methotrexate and/or a combination were used to treat SINAM found an average time to remission of 8.6 months. Additionally, this systematic review observed more patients returned to baseline or experienced improvement in symptoms when being treated with a combination of glucocorticoid plus IVIG plus methotrexate.2 Suggested dosing recommendations are available in Table 1.

FDP04204176_T1

Patients diagnosed with HMGCR antibody myopathy are contraindicated for future statin therapy.1 Rechallenge of statins in this patient population has led to worsening of disease and therefore these patients should have a severe statin allergy listed in their medical documentation record.

CASE PRESENTATION

A 59-year-old male patient with a medical history including atrial fibrillation, peripheral vascular disease, type 2 diabetes mellitus (T2DM), hypertension, and peripheral neuropathy was referred by his primary care clinical pharmacist practitioner for an outpatient neurology consult. The patient reported a 4-month history of fatigue, lower extremity paresthesia, and progressive proximal muscle weakness which began in his legs, mostly noticeable when walking upstairs but quickly developed into bilateral arm weakness. The patient reported significant impact on his quality of life: he could no longer lift his arms above his head and had difficulty with daily activities such as brushing his hair or getting up from a chair. He reported multiple falls at home, and began to use a cane for assistance with ambulation. He confirmed adherence to atorvastatin over the past year. Laboratory testing on the day of the visit revealed an elevated CPK level at 9729 mcg/L (reference range for men, 30-300 mcg/L).

The patient was urged to go to the emergency department where his CPK level had increased to 12,990 mcg/L (Figure 1). The workup began to find the source of rhabdomyolysis and elevated liver enzymes differentiating autoimmune vs medication-induced myopathy. Upon admission atorvastatin was discontinued, anti-HMGCR antibody level was ordered, and IV fluids were started.

FDP04204176_F1

After 8 days of hospital admission with minimal improvement, Rheumatology and Neurology services were consulted in the setting of persistent CPK elevation and the potential neuropathic component of muscle weakness. Both consulting services agreed to consider muscle biopsy and EMG if the patient did not begin to show signs of improvement. The patient’s CPK levels remained elevated with minimal change in muscle weakness. The next step was a right quadricep muscle biopsy performed on Day 14 of admission. Sixteen days after admission, the anti-HMGCR antibody test (originally obtained upon admission) was positive and elevated at 249 CU/mL (reference range, < 20 CU/mL negative; reference range, ≥ 60 CU/mL strong positive), which confirmed the SINAM diagnosis (Table 2).

FDP04204176_T2

On Day 17 of hospitalization, the Neurology service initiated IVIG monotherapy to avoid the undesired glycemic AEs associated with glucocorticoids. The patient had a history of T2DM that was difficult to manage and his hemoglobin A1c level was the best it had ever been (6.2%) relative to a peak A1c of 11.0% 9 months prior. The patient was treated with a total IVIG dose of 2 g/kg divided into 3 daily doses while still obtaining CPK levels with daily laboratory tests to assist with trending the extent of disease severity improvement (Figures 2-4). After a 20-day hospital stay, the patient was discharged home with rehabilitation services and a scheduled outpatient EMG the following week.

FDP04204176_F2FDP04204176_F3FDP04204176_F4

The patient continued to report generalized body weakness, pain, and deconditioning upon discharge and was unable to attend the EMG neurology appointment. The patient did eventually attend a follow-up appointment about 6 weeks after hospital discharge and reported continued weakness. The Neurology service prescribed a 2-day IVIG regimen (total dose = 2 g/kg) monthly for the next 2 months. The patient returned to the neurology clinic 8 weeks later following 2 rounds of IVIG posthospitalization and reported that his muscle strength was returning, and he was able to slowly reintroduce exercise into his daily routine. During a follow-up appointment about 11 months after the initial hospitalization, the patient’s primary care clinical pharmacist provided education of effective management of cholesterol without statins, including use of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors as recommended by the Neurology service. At this time, the patient’s calculated low-density lipoprotein (LDL) was 110 mg/dL (reference range, 0-99 mg/dL). The patient preferred to work on a healthy diet and positive lifestyle choices before trialing any lipid lowering therapies.

The patient appeared to tolerate this treatment regimen following 7 rounds of IVIG. He noted fatigue for about 24 hours after his infusion sessions but otherwise reported no additional AEs. He has continued to attend weekly physical therapy sessions and is able to walk without the assistance of a cane. He can now walk a mile before he begins to feel fatigued or experience bilateral lower leg pain. The pain appears neuropathic in nature, as the patient reports ongoing “pins and needles” sensation in his legs and feet. The patient has noticed a major improvement in his overall function, strength, and exercise tolerance since starting IVIG treatments and although he is not yet back to his baseline, he is motivated to continue his recovery. Neurology is considering ongoing treatment with IVIG monthly infusions given his continued clinical improvement.

DISCUSSION

There is limited evidence on the use of IVIG monotherapy for SINAM, although it may be a viable option for patients deemed poor candidates for glucocorticoid or methotrexate therapy. This particularly applies to patients with DM for which there may be concerns for managing blood glucose levels with steroid use. The Johns Hopkins Myositis Center evaluated 3 patients with SINAM who declined glucocorticoid therapy and had documented DM and weakness in the proximal arms and legs. Following 2 to 3 monthly rounds of IVIG 2 g/kg monotherapy, these patients had reduced CPK levels and had improvement in both arm and hip-flexion strength. Two patients reported no muscle-related symptoms after completing IVIG monotherapy treatment for 9 and 19 months.3

The optimal treatment duration for IVIG monotherapy for SINAM is still uncertain given the limited available data. The patient in this case report showed clinically significant muscle-related improvement following 7 monthly rounds of 2 g/kg IVIG treatments. The mechanism of action for IVIG in this setting is still unknown, although the medication may allow muscle regeneration to surpass muscle destruction, thus leading to resolution of the muscle-related symptoms.3

There are numerous concerns with IVIG use to consider prior to initiating treatment, including expense, AEs, patient response, and comorbidities. IVIG is considerably more expensive than glucocorticoid and methotrexate alternatives. Systemic reactions have been shown to occur in 5% to 15% of patients receiving IVIG infusion.4 The majority of these infusion reactions occur early during infusion or within a few hours after administration is complete.5 Early AEs to monitor for include injection site reactions, flu-like symptoms, dermatologic reactions, anaphylaxis, transfusion-related acute lung injury, and transfusion-associated circulatory overload. Additional AEs may be delayed, including thromboembolic events, acute kidney injury, aseptic meningitis, hemolysis, neutropenia, and blood-borne infection.6 IVIG has a boxed warning for thrombosis, renal dysfunction, and acute renal failure risk.7 There are multiple strategies documented to reduce the risk of IVIG reactions including slowing the infusion rate, ensuring adequate hydration, and/or giving analgesics, antihistamines, or steroids prior to infusion.6 The patient in this case had monthly IVIG infusions without the need of any pretreatment medications and only reported fatigue for about 24 hours following the infusion.

An essential question is how to provide safe cholesterol management for patients with SINAM. Some evidence has suggested that other lipid-lowering medications that avoid the mevalonate pathway, such as fenofibrate or ezetimibe, may be used cautiously initially at lower doses.1 Due to the severity of SINAM, it is crucial to closely monitor and ensure tolerability as new lipid-lowering agents are introduced. More evidence suggests that PCSK9 inhibitors are a safer option.8 PCSK9 inhibitors avoid the mevalonate pathway and block PCSK9 from binding to LDL receptors, allowing LDL to be removed from circulation.

Tiniakou et al followed 8 individuals for a mean 1.5 years who had anti-HMGCR immune-mediated myopathy at high cardiovascular risk. Muscle strength, CPK levels, and serum anti-HMGCR antibody titers were assessed at baseline and again after initiation of PCSK9 inhibitor. None of the patients experienced a decline in their muscle strength. CPK, anti-HMGCR antibody levels, and LDL trended down in all participants and 2 patients were able to reduce their immunosuppression treatment while still achieving clinical improvement. Tiniakou et al suggest that PCSK9 inhibitors are a safe and effective option to lower cholesterol in patients with SINAM.8

Alirocumab is the preferred PCSK9 inhibitor for patients at the US Department of Veterans Affairs (VA). The VA Pharmacy Benefits Management (PBM) Service guidance recommends alirocumab for patients with a history of atherosclerotic cardiovascular disease (ASCVD) or severe hypercholesterolemia.9 PBM guidance suggests alirocumab use for patients with a contraindication, intolerance, or insufficient LDL reduction with a maximally tolerated dose of statin and ezetimibe with a desire to reduce ASCVD risk by lowering LDL. Per the PBM Criteria for Use guidance, patients should follow the stepwise approach and trial ezetimibe prior to being considered for PCSK9 inhibitor therapy. Given the patient’s contraindication to future statin use and severity of myopathy, in this case the Neurology Service felt that the safest option to reach goal LDL reduction would be a PCSK9 inhibitor. Consideration can be made for alirocumab use when considering an alternative lipid lowering therapy.

CONCLUSIONS

This report demonstrates a case of SINAM caused by atorvastatin therapy. Patients presenting with proximal muscle weakness and elevated CPK even after statin discontinuation should be considered for a full workup to determine whether SINAM may be involved. This uncommon form of myopathy can be diagnosed based on the detection of anti-HMGCR antibodies and/or presence of necrosis on muscle biopsy. A combination of glucocorticoid, methotrexate, and IVIG is recommended for a patient’s best chance of muscle symptom improvement. IVIG monotherapy should be considered for patients with glycemic control concerns.

References
  1. Tiniakou E. Statin-associated autoimmune myopathy: current perspectives. Ther Clin Risk Manag. 2020;16:483-492. doi:10.2147/TCRM.S197941
  2. Somagutta MKR, Shama N, Pormento MKL, et al. Statin-induced necrotizing autoimmune myopathy: a systematic review. Reumatologia. 2022;60(1):63-69. doi:10.5114/reum.2022.114108
  3. Mammen AL, Tiniakou E. Intravenous immune globulin for statin-triggered autoimmune myopathy. N Engl J Med. 2015;373(17):1680-1682. doi:10.1056/NEJMc1506163
  4. Stiehm ER. Adverse effects of human immunoglobulin therapy. Transfus Med Rev. 2013;27(3):171-178. doi:10.1016/j.tmrv.2013.05.004
  5. Ameratunga R, Sinclair J, Kolbe J. Increased risk of adverse events when changing intravenous immunoglobulin preparations. Clin Exp Immunol. 2004;136(1):111-113. doi:10.1111/j.1365-2249.2004.02412.x
  6. Abbas A, Rajabally YA. Complications of immunoglobulin therapy and implications for treatment of inflammatory neuropathy: a review. Curr Drug Saf. 2019;14(1):3-13. doi:10.2174/1574886313666181017121139
  7. Privigen. Prescribing information. CSL Behring LLC; 2022. Accessed March 17, 2025. https://labeling.cslbehring.com/PI/US/Privigen/EN/Privigen-Prescribing-Information.pdf
  8. Tiniakou E, Rivera E, Mammen AL, Christopher-Stine L. Use of proprotein convertase subtilisin/Kexin Type 9 inhibitors in statin-associated immune-mediated necrotizing myopathy: a case series. Arthritis Rheumatol. 2019;71(10):1723-1726. doi:10.1002/art.40919
  9. US Department of Veterans Affairs, Pharmacy Benefits Management (PBM) Services. Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9 Inhibitor) (Alirocumabpreferred, Evolocumab-non-preferred) Criteria for Use. June 2024. Accessed March 25, 2025. https://www.va.gov/formularyadvisor/DOC/128
  10. Jayatilaka S, Desai K, Rijal S, Zimmerman D. Statin-induced autoimmune necrotizing myopathy. J Prim Care Community Health. 2021;12:21501327211028714. doi:10.1177/21501327211028714
References
  1. Tiniakou E. Statin-associated autoimmune myopathy: current perspectives. Ther Clin Risk Manag. 2020;16:483-492. doi:10.2147/TCRM.S197941
  2. Somagutta MKR, Shama N, Pormento MKL, et al. Statin-induced necrotizing autoimmune myopathy: a systematic review. Reumatologia. 2022;60(1):63-69. doi:10.5114/reum.2022.114108
  3. Mammen AL, Tiniakou E. Intravenous immune globulin for statin-triggered autoimmune myopathy. N Engl J Med. 2015;373(17):1680-1682. doi:10.1056/NEJMc1506163
  4. Stiehm ER. Adverse effects of human immunoglobulin therapy. Transfus Med Rev. 2013;27(3):171-178. doi:10.1016/j.tmrv.2013.05.004
  5. Ameratunga R, Sinclair J, Kolbe J. Increased risk of adverse events when changing intravenous immunoglobulin preparations. Clin Exp Immunol. 2004;136(1):111-113. doi:10.1111/j.1365-2249.2004.02412.x
  6. Abbas A, Rajabally YA. Complications of immunoglobulin therapy and implications for treatment of inflammatory neuropathy: a review. Curr Drug Saf. 2019;14(1):3-13. doi:10.2174/1574886313666181017121139
  7. Privigen. Prescribing information. CSL Behring LLC; 2022. Accessed March 17, 2025. https://labeling.cslbehring.com/PI/US/Privigen/EN/Privigen-Prescribing-Information.pdf
  8. Tiniakou E, Rivera E, Mammen AL, Christopher-Stine L. Use of proprotein convertase subtilisin/Kexin Type 9 inhibitors in statin-associated immune-mediated necrotizing myopathy: a case series. Arthritis Rheumatol. 2019;71(10):1723-1726. doi:10.1002/art.40919
  9. US Department of Veterans Affairs, Pharmacy Benefits Management (PBM) Services. Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9 Inhibitor) (Alirocumabpreferred, Evolocumab-non-preferred) Criteria for Use. June 2024. Accessed March 25, 2025. https://www.va.gov/formularyadvisor/DOC/128
  10. Jayatilaka S, Desai K, Rijal S, Zimmerman D. Statin-induced autoimmune necrotizing myopathy. J Prim Care Community Health. 2021;12:21501327211028714. doi:10.1177/21501327211028714
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Scholarly Activity Among VA Podiatrists: A Cross-Sectional Study

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Scholarly Activity Among VA Podiatrists: A Cross-Sectional Study

The US Department of Veterans Affairs (VA) delivers care to > 9 million veterans, including primary and specialty care.1 While clinical duties remain important across the health system, proposed productivity models have included clinician research activity, given that many hold roles in academia.2 Within this framework, research plays a pivotal role in advancing clinical practices and outcomes. Studies have found that physicians who participated in research report higher job satisfaction.3

As a specialty within the VA, podiatrists diagnose, treat, and prevent foot and ankle disorders. In addition to clinical practice, various scholarly activities are shared among these physicians.4 Reasons for scholarly pursuits among podiatrists vary, including participation in research for academic promotion or to establish expertise in a given area.4-7 Although research remains a component associated with promotion within the VA, little is known about the scholarly activity of VA podiatrists. Specifically, there remains a paucity of data concerning their expertise, as evidenced through peer-reviewed publications, among these physicians and surgeons. To date, no analysis of scholarly activity among VA podiatrists has been conducted.

The primary aim of this investigation was to describe the scholarly productivity among podiatrists employed by the VA through an analysis of the number of peer-reviewed publications and the respective h-index of each physician. The secondary aim of this investigation was to assess the effect of academic productivity on compensation. This study describes research activities pursued by VA physicians and provides the veteran patient population with the confidence that their foot health care remains in the hands of experts within the field.

MATERIALS AND METHODS

The Feds Data Center (www.fedsdatacenter.com) online database of employees was used to identify VA podiatrists on June 17, 2024. All GS-15 physicians and their respective salaries in fiscal year 2023 were recorded. Administratively determined employees, including residents, were excluded. The h-index and number of published documents from any point during a physician’s training or career were reported for each podiatrist using Scopus; podiatrists without an h-index or publication were excluded. 8 Among podiatrists with scholarly activity, this analysis collected academic appointment, sex, and region of practice.

Statistical Analysis

Descriptive statistics, presented as counts and frequencies, were used. The median and IQR were used to describe the number of publications and h-index due to their nonnormal distribution. A Kruskal-Wallis test was used to compare median publication counts and h-index values among for junior faculty (JF), which includes instructors and assistant professors; senior faculty (SF), which includes associate professors and professors; and those with no academic affiliation (NF). Salary was reported as mean (SD) as it remained normally distributed and was compared using analysis of variance with posthoc Tukey test to increase statistical power. Additionally, this analysis used linear regression to investigate the relationship between scholarly activity and salary. The threshold for statistical significance was set at P < .05.

RESULTS

Among 819 VA podiatrists, 150 were administratively determined and excluded, and 512 were excluded for no history of publications, leaving 157 eligible for analysis (Table). A statistically significant difference was found in median (IQR) publication count by faculty appointment. JF had 6.0 (9.5), SF had 12.5 (22.3), and NF had 1.0 (2.0) publication(s) (P < .001) (Figure 1A). There was a statistically significant difference in h-index by faculty appointment. The median (IQR) h-index for JF was 2.0 (3.5), for SF was 5.5 (4.25), and for NF was 1.0 (2.0) (P = .002) (Figure 1B). Salary was not significantly associated with publication count (P = .20) or h-index (P = .62) (Figure 2). No statistically significant difference was found between academic appointment and mean (SD) salary. JF had a median (IQR) salary of $224,063 (27,989), SF of $234,260 (42,963), and NF of $219,811 (P = .35).

FDP04204162_F1a
FIGURE 1A. Relationship between academic position and (A) number of publications and
(B) h-index.a
aBox sizes indicate IQR (bottom, IQR 1; top, IQR 3); whiskers indicate minimum and maximum within 1.5 x IQR; Xs indicate means; white
lines indicate medians; and dots indicate outliers.

FDP04204162_F1b
FIGURE 1B. Relationship between academic position and (A) number of publications and
(B) h-index.a
aBox sizes indicate IQR (bottom, IQR 1; top, IQR 3); whiskers indicate minimum and maximum within 1.5 x IQR; Xs indicate means; white
lines indicate medians; and dots indicate outliers.
FDP04204162_F2a
FIGURE 2A. Association of podiatrist salary with the (A) number of publications and (B) h-index.
FDP04204162_F2b
FIGURE 2B. Association of podiatrist salary with the (A) number of publications and (B) h-index.

DISCUSSION

Focused on providing high-quality care, VA physicians use their expertise to practice comprehensive and specialized care.9,10 A cornerstone to this expertise is scholarly activity that contributes to the body of knowledge and, ultimately, the evidence-based medicine by which these physicians practice.11 With veterans considering VA care, it is important to highlight the commitment and dedication to the science and the practice of medicine. This analysis describes the scholarly activity of VA podiatrists and underscores the expertise veterans will receive for the diagnosis and treatment of their foot and ankle pathology.

were not part of an academic facility, a finding that may encourage further action to increase academic productivity in this specialty. For example, collaboration through academic affiliations has been seen throughout VA medical and surgical specialties and provides many benefits. Beginning with graduate medical education, the VA serves as a tremendous resource for resident training.12 Additionally, veterans who sought emergency care at the VA had a lower risk of death than those treated at non-VA hospitals.13 In podiatric medicine and surgery, scholarly activity has been linked to improved outcomes, particularly in the study of ulceration development and its role in either prolonging or preventing amputation.14

Beyond improving clinical outcomes and patient care, engagement in research and inquiry offers other benefits. A cross-sectional study of 7734 physicians within the VA found that research involvement was associated with more favorable job characteristics and job satisfaction perceptions. 3 While this analysis found that about 19% of podiatrists have published once in their career, it remains likely that more may continue to engage in research during their VA tenure. Although this finding shows that an appreciable number of VA podiatrists have published in their field of study, it also encourages departments to provide resources to engage in research. Similar to previous research among foot and ankle surgeons, this analysis also found an increase in publications and h-index as tenure increased.4 Unlike previous research, which found h-index and academic appointment to be contributors to VA dermatologists’ salaries, no significant difference in salary was found in this study associated with publications, h-index, or academic role.15 Although the increase was not statistically significant, salary tended to rise as these variables increased.

Limitations

This analysis was confined to the most recent year of available data, which may not fully capture the longitudinal academic contributions and trends of individual podiatrists. Academic productivity can fluctuate significantly over time due to various factors, including changes in research focus and administrative responsibilities. The study also relied on Scopus to identify and quantify academic productivity. This database may not include all publications relevant to podiatrists, particularly those in niche or nonindexed journals. Additionally, name variations and potential misspellings could lead to missing data for individual podiatrists’ publications. Furthermore, this study did not account for other significant contributors to salary and career advancement within the federal system. Factors such as clinical performance, administrative duties, patient satisfaction, and contributions to teaching and mentoring are critical elements that also influence career progression and compensation but were not captured in this analysis. The retrospective design of this study inherently limits the ability to establish causal relationships. While associations between academic productivity and certain outcomes may be identified, it is not possible to definitively determine the direction or causality of these relationships. Future research may examine how scholarly activity continues once a clinician is part of VA.

CONCLUSIONS

This study highlights the significant academic contributions of VA podiatrists to research and the medical literature. By fostering an active research environment, the VA can ensure veterans receive the highest quality of care from knowledgeable and expert clinicians. Future research should aim to provide a more comprehensive analysis, capturing long-term trends and considering all factors influencing career advancement in VA.

References
  1. Rosland AM, Nelson K, Sun H, et al. The patient-centered medical home in the Veterans Health Administration. Am J Manag Care. 2013;19(7):e263-e272.
  2. Coleman DL, Moran E, Serfilippi D, et al. Measuring physicians’ productivity in a Veterans’ Affairs Medical Center. Acad Med. 2003;78(7):682-689. doi:10.1097/00001888-200307000-00007
  3. Mohr DC, Burgess JF Jr. Job characteristics and job satisfaction among physicians involved with research in the Veterans Health Administration. Acad Med. 2011;86(8):938-945. doi:10.1097/ACM.0b013e3182223b76
  4. Casciato DJ, Cravey KS, Barron IM. Scholarly productivity among academic foot and ankle surgeons affiliated with US podiatric medicine and surgery residency and fellowship training programs. J Foot Ankle Surg. 2021;60(6):1222-1226. doi:10.1053/j.jfas.2021.04.017
  5. Hyer CF, Casciato DJ, Rushing CJ, Schuberth JM. Incidence of scholarly publication by selected content experts presenting at national society foot and ankle meetings from 2016 to 2020. J Foot Ankle Surg. 2022;61(6):1317-1320. doi:10.1053/j.jfas.2022.04.011
  6. Casciato DJ, Thompson J, Yancovitz S, Chandra A, Prissel MA, Hyer CF. Research activity among foot and ankle surgery fellows: a systematic review. J Foot Ankle Surg. 2021;60(6):1227-1231. doi:10.1053/j.jfas.2021.04.018
  7. Casciato DJ, Thompson J, Hyer CF. Post-fellowship foot and ankle surgeon research productivity: a systematic review. J Foot Ankle Surg. 2022;61(4):896-899. doi:10.1053/j.jfas.2021.12.028
  8. Hirsch JE. An index to quantify an individual’s scientific research output. Proc Natl Acad Sci USA. 2005;102(46):16569-16572. doi:10.1073/pnas.0507655102
  9. US Department of Veterans Affairs. Veterans Health Administration. About VHA. Updated January 20, 2025. Accessed February 17, 2025. https://www.va.gov/health/aboutvha.asp
  10. US Department of Veterans Affairs. VHA National Center for Patient Safety. About Us. Updated November 29, 2023. Accessed February 17, 2025. https://www.patientsafety.va.gov/
  11. US Department of Veterans Affairs. VA/DoD Clinical Practice Guidelines. Updated February 7, 2025. Accessed February 17, 2025. https://www.healthquality.va.gov
  12. Ravin AG, Gottlieb NB, Wang HT, et al. Effect of the Veterans Affairs Medical System on plastic surgery residency training. Plast Reconstr Surg. 2006;117(2):656-660. doi:10.1097/01.prs.0000197216.95544.f7
  13. Chan DC, Danesh K, Costantini S, Card D, Taylor L, Studdert DM. Mortality among US veterans after emergency visits to Veterans Affairs and other hospitals: retrospective cohort study. BMJ. 2022;376:e068099. doi:10.1136/bmj-2021-068099
  14. Gibson LW, Abbas A. Limb salvage for veterans with diabetes: to care for him who has borne the battle. Crit Care Nurs Clin North Am. 2013;25(1):131-134. doi:10.1016/j.ccell.2012.11.004
  15. Do MH, Lipner SR. Contribution of gender on compensation of Veterans Affairs-affiliated dermatologists: a cross-sectional study. Int J Womens Dermatol. 2020;6(5):414-418. doi:10.1016/j.ijwd.2020.09.009
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Correspondence: Dominick Casciato (dominickcasciatodpm@ gmail.com)

Fed Pract. 2025;42(4). Published online April 16. doi:10.12788/fp.0574

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Fed Pract. 2025;42(4). Published online April 16. doi:10.12788/fp.0574

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Fed Pract. 2025;42(4). Published online April 16. doi:10.12788/fp.0574

Article PDF
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The US Department of Veterans Affairs (VA) delivers care to > 9 million veterans, including primary and specialty care.1 While clinical duties remain important across the health system, proposed productivity models have included clinician research activity, given that many hold roles in academia.2 Within this framework, research plays a pivotal role in advancing clinical practices and outcomes. Studies have found that physicians who participated in research report higher job satisfaction.3

As a specialty within the VA, podiatrists diagnose, treat, and prevent foot and ankle disorders. In addition to clinical practice, various scholarly activities are shared among these physicians.4 Reasons for scholarly pursuits among podiatrists vary, including participation in research for academic promotion or to establish expertise in a given area.4-7 Although research remains a component associated with promotion within the VA, little is known about the scholarly activity of VA podiatrists. Specifically, there remains a paucity of data concerning their expertise, as evidenced through peer-reviewed publications, among these physicians and surgeons. To date, no analysis of scholarly activity among VA podiatrists has been conducted.

The primary aim of this investigation was to describe the scholarly productivity among podiatrists employed by the VA through an analysis of the number of peer-reviewed publications and the respective h-index of each physician. The secondary aim of this investigation was to assess the effect of academic productivity on compensation. This study describes research activities pursued by VA physicians and provides the veteran patient population with the confidence that their foot health care remains in the hands of experts within the field.

MATERIALS AND METHODS

The Feds Data Center (www.fedsdatacenter.com) online database of employees was used to identify VA podiatrists on June 17, 2024. All GS-15 physicians and their respective salaries in fiscal year 2023 were recorded. Administratively determined employees, including residents, were excluded. The h-index and number of published documents from any point during a physician’s training or career were reported for each podiatrist using Scopus; podiatrists without an h-index or publication were excluded. 8 Among podiatrists with scholarly activity, this analysis collected academic appointment, sex, and region of practice.

Statistical Analysis

Descriptive statistics, presented as counts and frequencies, were used. The median and IQR were used to describe the number of publications and h-index due to their nonnormal distribution. A Kruskal-Wallis test was used to compare median publication counts and h-index values among for junior faculty (JF), which includes instructors and assistant professors; senior faculty (SF), which includes associate professors and professors; and those with no academic affiliation (NF). Salary was reported as mean (SD) as it remained normally distributed and was compared using analysis of variance with posthoc Tukey test to increase statistical power. Additionally, this analysis used linear regression to investigate the relationship between scholarly activity and salary. The threshold for statistical significance was set at P < .05.

RESULTS

Among 819 VA podiatrists, 150 were administratively determined and excluded, and 512 were excluded for no history of publications, leaving 157 eligible for analysis (Table). A statistically significant difference was found in median (IQR) publication count by faculty appointment. JF had 6.0 (9.5), SF had 12.5 (22.3), and NF had 1.0 (2.0) publication(s) (P < .001) (Figure 1A). There was a statistically significant difference in h-index by faculty appointment. The median (IQR) h-index for JF was 2.0 (3.5), for SF was 5.5 (4.25), and for NF was 1.0 (2.0) (P = .002) (Figure 1B). Salary was not significantly associated with publication count (P = .20) or h-index (P = .62) (Figure 2). No statistically significant difference was found between academic appointment and mean (SD) salary. JF had a median (IQR) salary of $224,063 (27,989), SF of $234,260 (42,963), and NF of $219,811 (P = .35).

FDP04204162_F1a
FIGURE 1A. Relationship between academic position and (A) number of publications and
(B) h-index.a
aBox sizes indicate IQR (bottom, IQR 1; top, IQR 3); whiskers indicate minimum and maximum within 1.5 x IQR; Xs indicate means; white
lines indicate medians; and dots indicate outliers.

FDP04204162_F1b
FIGURE 1B. Relationship between academic position and (A) number of publications and
(B) h-index.a
aBox sizes indicate IQR (bottom, IQR 1; top, IQR 3); whiskers indicate minimum and maximum within 1.5 x IQR; Xs indicate means; white
lines indicate medians; and dots indicate outliers.
FDP04204162_F2a
FIGURE 2A. Association of podiatrist salary with the (A) number of publications and (B) h-index.
FDP04204162_F2b
FIGURE 2B. Association of podiatrist salary with the (A) number of publications and (B) h-index.

DISCUSSION

Focused on providing high-quality care, VA physicians use their expertise to practice comprehensive and specialized care.9,10 A cornerstone to this expertise is scholarly activity that contributes to the body of knowledge and, ultimately, the evidence-based medicine by which these physicians practice.11 With veterans considering VA care, it is important to highlight the commitment and dedication to the science and the practice of medicine. This analysis describes the scholarly activity of VA podiatrists and underscores the expertise veterans will receive for the diagnosis and treatment of their foot and ankle pathology.

were not part of an academic facility, a finding that may encourage further action to increase academic productivity in this specialty. For example, collaboration through academic affiliations has been seen throughout VA medical and surgical specialties and provides many benefits. Beginning with graduate medical education, the VA serves as a tremendous resource for resident training.12 Additionally, veterans who sought emergency care at the VA had a lower risk of death than those treated at non-VA hospitals.13 In podiatric medicine and surgery, scholarly activity has been linked to improved outcomes, particularly in the study of ulceration development and its role in either prolonging or preventing amputation.14

Beyond improving clinical outcomes and patient care, engagement in research and inquiry offers other benefits. A cross-sectional study of 7734 physicians within the VA found that research involvement was associated with more favorable job characteristics and job satisfaction perceptions. 3 While this analysis found that about 19% of podiatrists have published once in their career, it remains likely that more may continue to engage in research during their VA tenure. Although this finding shows that an appreciable number of VA podiatrists have published in their field of study, it also encourages departments to provide resources to engage in research. Similar to previous research among foot and ankle surgeons, this analysis also found an increase in publications and h-index as tenure increased.4 Unlike previous research, which found h-index and academic appointment to be contributors to VA dermatologists’ salaries, no significant difference in salary was found in this study associated with publications, h-index, or academic role.15 Although the increase was not statistically significant, salary tended to rise as these variables increased.

Limitations

This analysis was confined to the most recent year of available data, which may not fully capture the longitudinal academic contributions and trends of individual podiatrists. Academic productivity can fluctuate significantly over time due to various factors, including changes in research focus and administrative responsibilities. The study also relied on Scopus to identify and quantify academic productivity. This database may not include all publications relevant to podiatrists, particularly those in niche or nonindexed journals. Additionally, name variations and potential misspellings could lead to missing data for individual podiatrists’ publications. Furthermore, this study did not account for other significant contributors to salary and career advancement within the federal system. Factors such as clinical performance, administrative duties, patient satisfaction, and contributions to teaching and mentoring are critical elements that also influence career progression and compensation but were not captured in this analysis. The retrospective design of this study inherently limits the ability to establish causal relationships. While associations between academic productivity and certain outcomes may be identified, it is not possible to definitively determine the direction or causality of these relationships. Future research may examine how scholarly activity continues once a clinician is part of VA.

CONCLUSIONS

This study highlights the significant academic contributions of VA podiatrists to research and the medical literature. By fostering an active research environment, the VA can ensure veterans receive the highest quality of care from knowledgeable and expert clinicians. Future research should aim to provide a more comprehensive analysis, capturing long-term trends and considering all factors influencing career advancement in VA.

The US Department of Veterans Affairs (VA) delivers care to > 9 million veterans, including primary and specialty care.1 While clinical duties remain important across the health system, proposed productivity models have included clinician research activity, given that many hold roles in academia.2 Within this framework, research plays a pivotal role in advancing clinical practices and outcomes. Studies have found that physicians who participated in research report higher job satisfaction.3

As a specialty within the VA, podiatrists diagnose, treat, and prevent foot and ankle disorders. In addition to clinical practice, various scholarly activities are shared among these physicians.4 Reasons for scholarly pursuits among podiatrists vary, including participation in research for academic promotion or to establish expertise in a given area.4-7 Although research remains a component associated with promotion within the VA, little is known about the scholarly activity of VA podiatrists. Specifically, there remains a paucity of data concerning their expertise, as evidenced through peer-reviewed publications, among these physicians and surgeons. To date, no analysis of scholarly activity among VA podiatrists has been conducted.

The primary aim of this investigation was to describe the scholarly productivity among podiatrists employed by the VA through an analysis of the number of peer-reviewed publications and the respective h-index of each physician. The secondary aim of this investigation was to assess the effect of academic productivity on compensation. This study describes research activities pursued by VA physicians and provides the veteran patient population with the confidence that their foot health care remains in the hands of experts within the field.

MATERIALS AND METHODS

The Feds Data Center (www.fedsdatacenter.com) online database of employees was used to identify VA podiatrists on June 17, 2024. All GS-15 physicians and their respective salaries in fiscal year 2023 were recorded. Administratively determined employees, including residents, were excluded. The h-index and number of published documents from any point during a physician’s training or career were reported for each podiatrist using Scopus; podiatrists without an h-index or publication were excluded. 8 Among podiatrists with scholarly activity, this analysis collected academic appointment, sex, and region of practice.

Statistical Analysis

Descriptive statistics, presented as counts and frequencies, were used. The median and IQR were used to describe the number of publications and h-index due to their nonnormal distribution. A Kruskal-Wallis test was used to compare median publication counts and h-index values among for junior faculty (JF), which includes instructors and assistant professors; senior faculty (SF), which includes associate professors and professors; and those with no academic affiliation (NF). Salary was reported as mean (SD) as it remained normally distributed and was compared using analysis of variance with posthoc Tukey test to increase statistical power. Additionally, this analysis used linear regression to investigate the relationship between scholarly activity and salary. The threshold for statistical significance was set at P < .05.

RESULTS

Among 819 VA podiatrists, 150 were administratively determined and excluded, and 512 were excluded for no history of publications, leaving 157 eligible for analysis (Table). A statistically significant difference was found in median (IQR) publication count by faculty appointment. JF had 6.0 (9.5), SF had 12.5 (22.3), and NF had 1.0 (2.0) publication(s) (P < .001) (Figure 1A). There was a statistically significant difference in h-index by faculty appointment. The median (IQR) h-index for JF was 2.0 (3.5), for SF was 5.5 (4.25), and for NF was 1.0 (2.0) (P = .002) (Figure 1B). Salary was not significantly associated with publication count (P = .20) or h-index (P = .62) (Figure 2). No statistically significant difference was found between academic appointment and mean (SD) salary. JF had a median (IQR) salary of $224,063 (27,989), SF of $234,260 (42,963), and NF of $219,811 (P = .35).

FDP04204162_F1a
FIGURE 1A. Relationship between academic position and (A) number of publications and
(B) h-index.a
aBox sizes indicate IQR (bottom, IQR 1; top, IQR 3); whiskers indicate minimum and maximum within 1.5 x IQR; Xs indicate means; white
lines indicate medians; and dots indicate outliers.

FDP04204162_F1b
FIGURE 1B. Relationship between academic position and (A) number of publications and
(B) h-index.a
aBox sizes indicate IQR (bottom, IQR 1; top, IQR 3); whiskers indicate minimum and maximum within 1.5 x IQR; Xs indicate means; white
lines indicate medians; and dots indicate outliers.
FDP04204162_F2a
FIGURE 2A. Association of podiatrist salary with the (A) number of publications and (B) h-index.
FDP04204162_F2b
FIGURE 2B. Association of podiatrist salary with the (A) number of publications and (B) h-index.

DISCUSSION

Focused on providing high-quality care, VA physicians use their expertise to practice comprehensive and specialized care.9,10 A cornerstone to this expertise is scholarly activity that contributes to the body of knowledge and, ultimately, the evidence-based medicine by which these physicians practice.11 With veterans considering VA care, it is important to highlight the commitment and dedication to the science and the practice of medicine. This analysis describes the scholarly activity of VA podiatrists and underscores the expertise veterans will receive for the diagnosis and treatment of their foot and ankle pathology.

were not part of an academic facility, a finding that may encourage further action to increase academic productivity in this specialty. For example, collaboration through academic affiliations has been seen throughout VA medical and surgical specialties and provides many benefits. Beginning with graduate medical education, the VA serves as a tremendous resource for resident training.12 Additionally, veterans who sought emergency care at the VA had a lower risk of death than those treated at non-VA hospitals.13 In podiatric medicine and surgery, scholarly activity has been linked to improved outcomes, particularly in the study of ulceration development and its role in either prolonging or preventing amputation.14

Beyond improving clinical outcomes and patient care, engagement in research and inquiry offers other benefits. A cross-sectional study of 7734 physicians within the VA found that research involvement was associated with more favorable job characteristics and job satisfaction perceptions. 3 While this analysis found that about 19% of podiatrists have published once in their career, it remains likely that more may continue to engage in research during their VA tenure. Although this finding shows that an appreciable number of VA podiatrists have published in their field of study, it also encourages departments to provide resources to engage in research. Similar to previous research among foot and ankle surgeons, this analysis also found an increase in publications and h-index as tenure increased.4 Unlike previous research, which found h-index and academic appointment to be contributors to VA dermatologists’ salaries, no significant difference in salary was found in this study associated with publications, h-index, or academic role.15 Although the increase was not statistically significant, salary tended to rise as these variables increased.

Limitations

This analysis was confined to the most recent year of available data, which may not fully capture the longitudinal academic contributions and trends of individual podiatrists. Academic productivity can fluctuate significantly over time due to various factors, including changes in research focus and administrative responsibilities. The study also relied on Scopus to identify and quantify academic productivity. This database may not include all publications relevant to podiatrists, particularly those in niche or nonindexed journals. Additionally, name variations and potential misspellings could lead to missing data for individual podiatrists’ publications. Furthermore, this study did not account for other significant contributors to salary and career advancement within the federal system. Factors such as clinical performance, administrative duties, patient satisfaction, and contributions to teaching and mentoring are critical elements that also influence career progression and compensation but were not captured in this analysis. The retrospective design of this study inherently limits the ability to establish causal relationships. While associations between academic productivity and certain outcomes may be identified, it is not possible to definitively determine the direction or causality of these relationships. Future research may examine how scholarly activity continues once a clinician is part of VA.

CONCLUSIONS

This study highlights the significant academic contributions of VA podiatrists to research and the medical literature. By fostering an active research environment, the VA can ensure veterans receive the highest quality of care from knowledgeable and expert clinicians. Future research should aim to provide a more comprehensive analysis, capturing long-term trends and considering all factors influencing career advancement in VA.

References
  1. Rosland AM, Nelson K, Sun H, et al. The patient-centered medical home in the Veterans Health Administration. Am J Manag Care. 2013;19(7):e263-e272.
  2. Coleman DL, Moran E, Serfilippi D, et al. Measuring physicians’ productivity in a Veterans’ Affairs Medical Center. Acad Med. 2003;78(7):682-689. doi:10.1097/00001888-200307000-00007
  3. Mohr DC, Burgess JF Jr. Job characteristics and job satisfaction among physicians involved with research in the Veterans Health Administration. Acad Med. 2011;86(8):938-945. doi:10.1097/ACM.0b013e3182223b76
  4. Casciato DJ, Cravey KS, Barron IM. Scholarly productivity among academic foot and ankle surgeons affiliated with US podiatric medicine and surgery residency and fellowship training programs. J Foot Ankle Surg. 2021;60(6):1222-1226. doi:10.1053/j.jfas.2021.04.017
  5. Hyer CF, Casciato DJ, Rushing CJ, Schuberth JM. Incidence of scholarly publication by selected content experts presenting at national society foot and ankle meetings from 2016 to 2020. J Foot Ankle Surg. 2022;61(6):1317-1320. doi:10.1053/j.jfas.2022.04.011
  6. Casciato DJ, Thompson J, Yancovitz S, Chandra A, Prissel MA, Hyer CF. Research activity among foot and ankle surgery fellows: a systematic review. J Foot Ankle Surg. 2021;60(6):1227-1231. doi:10.1053/j.jfas.2021.04.018
  7. Casciato DJ, Thompson J, Hyer CF. Post-fellowship foot and ankle surgeon research productivity: a systematic review. J Foot Ankle Surg. 2022;61(4):896-899. doi:10.1053/j.jfas.2021.12.028
  8. Hirsch JE. An index to quantify an individual’s scientific research output. Proc Natl Acad Sci USA. 2005;102(46):16569-16572. doi:10.1073/pnas.0507655102
  9. US Department of Veterans Affairs. Veterans Health Administration. About VHA. Updated January 20, 2025. Accessed February 17, 2025. https://www.va.gov/health/aboutvha.asp
  10. US Department of Veterans Affairs. VHA National Center for Patient Safety. About Us. Updated November 29, 2023. Accessed February 17, 2025. https://www.patientsafety.va.gov/
  11. US Department of Veterans Affairs. VA/DoD Clinical Practice Guidelines. Updated February 7, 2025. Accessed February 17, 2025. https://www.healthquality.va.gov
  12. Ravin AG, Gottlieb NB, Wang HT, et al. Effect of the Veterans Affairs Medical System on plastic surgery residency training. Plast Reconstr Surg. 2006;117(2):656-660. doi:10.1097/01.prs.0000197216.95544.f7
  13. Chan DC, Danesh K, Costantini S, Card D, Taylor L, Studdert DM. Mortality among US veterans after emergency visits to Veterans Affairs and other hospitals: retrospective cohort study. BMJ. 2022;376:e068099. doi:10.1136/bmj-2021-068099
  14. Gibson LW, Abbas A. Limb salvage for veterans with diabetes: to care for him who has borne the battle. Crit Care Nurs Clin North Am. 2013;25(1):131-134. doi:10.1016/j.ccell.2012.11.004
  15. Do MH, Lipner SR. Contribution of gender on compensation of Veterans Affairs-affiliated dermatologists: a cross-sectional study. Int J Womens Dermatol. 2020;6(5):414-418. doi:10.1016/j.ijwd.2020.09.009
References
  1. Rosland AM, Nelson K, Sun H, et al. The patient-centered medical home in the Veterans Health Administration. Am J Manag Care. 2013;19(7):e263-e272.
  2. Coleman DL, Moran E, Serfilippi D, et al. Measuring physicians’ productivity in a Veterans’ Affairs Medical Center. Acad Med. 2003;78(7):682-689. doi:10.1097/00001888-200307000-00007
  3. Mohr DC, Burgess JF Jr. Job characteristics and job satisfaction among physicians involved with research in the Veterans Health Administration. Acad Med. 2011;86(8):938-945. doi:10.1097/ACM.0b013e3182223b76
  4. Casciato DJ, Cravey KS, Barron IM. Scholarly productivity among academic foot and ankle surgeons affiliated with US podiatric medicine and surgery residency and fellowship training programs. J Foot Ankle Surg. 2021;60(6):1222-1226. doi:10.1053/j.jfas.2021.04.017
  5. Hyer CF, Casciato DJ, Rushing CJ, Schuberth JM. Incidence of scholarly publication by selected content experts presenting at national society foot and ankle meetings from 2016 to 2020. J Foot Ankle Surg. 2022;61(6):1317-1320. doi:10.1053/j.jfas.2022.04.011
  6. Casciato DJ, Thompson J, Yancovitz S, Chandra A, Prissel MA, Hyer CF. Research activity among foot and ankle surgery fellows: a systematic review. J Foot Ankle Surg. 2021;60(6):1227-1231. doi:10.1053/j.jfas.2021.04.018
  7. Casciato DJ, Thompson J, Hyer CF. Post-fellowship foot and ankle surgeon research productivity: a systematic review. J Foot Ankle Surg. 2022;61(4):896-899. doi:10.1053/j.jfas.2021.12.028
  8. Hirsch JE. An index to quantify an individual’s scientific research output. Proc Natl Acad Sci USA. 2005;102(46):16569-16572. doi:10.1073/pnas.0507655102
  9. US Department of Veterans Affairs. Veterans Health Administration. About VHA. Updated January 20, 2025. Accessed February 17, 2025. https://www.va.gov/health/aboutvha.asp
  10. US Department of Veterans Affairs. VHA National Center for Patient Safety. About Us. Updated November 29, 2023. Accessed February 17, 2025. https://www.patientsafety.va.gov/
  11. US Department of Veterans Affairs. VA/DoD Clinical Practice Guidelines. Updated February 7, 2025. Accessed February 17, 2025. https://www.healthquality.va.gov
  12. Ravin AG, Gottlieb NB, Wang HT, et al. Effect of the Veterans Affairs Medical System on plastic surgery residency training. Plast Reconstr Surg. 2006;117(2):656-660. doi:10.1097/01.prs.0000197216.95544.f7
  13. Chan DC, Danesh K, Costantini S, Card D, Taylor L, Studdert DM. Mortality among US veterans after emergency visits to Veterans Affairs and other hospitals: retrospective cohort study. BMJ. 2022;376:e068099. doi:10.1136/bmj-2021-068099
  14. Gibson LW, Abbas A. Limb salvage for veterans with diabetes: to care for him who has borne the battle. Crit Care Nurs Clin North Am. 2013;25(1):131-134. doi:10.1016/j.ccell.2012.11.004
  15. Do MH, Lipner SR. Contribution of gender on compensation of Veterans Affairs-affiliated dermatologists: a cross-sectional study. Int J Womens Dermatol. 2020;6(5):414-418. doi:10.1016/j.ijwd.2020.09.009
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Stretcher vs Table for Operative Hand Surgery

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Stretcher vs Table for Operative Hand Surgery

US Department of Veterans Affairs (VA) health care facilities have not recovered from staff shortages that occurred during the COVID-19 pandemic.1 Veterans Health Administration operating rooms (ORs) lost many valuable clinicians during the pandemic due to illness, relocation, burnout, and retirement, and remain below prepandemic levels. The staffing shortage has resulted in lost OR time, leading to longer wait times for surgery. In October 2021, the Malcom Randall VA Medical Center (MRVAMC) Plastic Surgery Service implemented a surgery-on-stretcher initiative, in which patients arriving in the OR remained on the stretcher throughout surgery rather than being transferred to the operating table. Avoiding patient transfers was identified as a strategy to increase the number of procedures performed while providing additional benefits to the patients and staff.

The intent of the surgery-on-stretcher initiative was to reduce OR turnover time and in-room time, decrease supply costs, and improve patient and staff safety. The objective of this study was to evaluate the new process in terms of time efficiency, cost savings, and safety.

METHODS

The University of Florida Institutional Review Board (IRB) and North Florida/South Georgia Veterans Health System Research and Development Committee (IRB.net) approved a retrospective chart review of hand surgery cases performed in the same OR by the same surgeon over 2 year-long periods: October 1, 2020, through September 30, 2021, when surgeries were performed on the operating table (Figure 1), and June 1, 2022, through May 31, 2023, when surgeries were performed on the stretcher (Figure 2). Time intervals were obtained from the Nurse Intraoperative Report found in the electronic medical record. They ranged from “patient in OR” to “operation begin,” “operation end” to “patient out OR,” and “patient out OR” to next “patient in OR.” The median time intervals were obtained for the 3 different time intervals in each study period and compared.

FDP04204158_F1FDP04204158_F2

A Mann-Whitney U test was used to determine statistical significance between the groups. We queried the Patient Safety Manager (Jason Ringlehan, BSN, RN, oral communication, 2023) and the Employee Health Nurse (Ivan Cool, BSN, RN, oral communication, June 16, 2023) for reported patient or employee–patient transfer injuries. We requested Inventory Supply personnel to provide the cost of materials used in the transfer process. There was no cost for surgeries performed on the stretcher.

RESULTS

A total of 306 hand surgeries were performed on a table and 191 were performed on a stretcher during the study periods. The median patient in OR to operation begin time interval was 25 minutes for the table and 23 minutes for the stretcher. The median operation end to patient out OR time was 4 minutes for the table and 3 minutes for the stretcher. Time savings was statistically significant (P < .001) for both ends of the surgery. The median room turnover time was 27 minutes for both time periods and was not statistically significant (P = .70). There were no reported employee or patient injuries attributed to OR transfers during either time period. Supply cost savings was $111.28 per case when surgery was performed on the stretcher (Table).

FDP04204158_T1

DISCUSSION

The new process of doing surgery on the stretcher was introduced to improve OR time efficiency. This improved efficiency has been reported in the hand surgery literature; however, the authors anticipated resistance to implementing a new process to seasoned OR staff.2,3 Once the idea was conceived, the plan was reviewed with the Anesthesia Service to confirm they had no safety concerns. The rest of the OR staff, including nurses and surgical technicians, agreed to participate. No resistance was encountered. The anesthesia, nursing, and scrub staff were happy to skip a potentially hazardous step at the beginning and end of each hand surgery case. The anesthesiologists communicated that the OR bed is preferred for intubating, but our hand surgeries are performed under local or regional block and intravenous sedation. The table was removed from the room to avoid any confusion with changes in staff during the day.

Compared with table use, surgery on the stretcher saved a median of 3 minutes of in-room time per case, with no significant difference in turnover time. The time savings reported here were consistent with what has been reported in other studies. Garras et al saved 7.5 minutes per case using a rolling hand table for their hand surgeries,2 while Gonzalez et al reported a 4-minute reduction per case when using a stretcher-based hand table for carpal tunnel and trigger finger surgeries.3 Lause et al found a 2-minute time savings at the start of their foot and ankle surgeries.4

Although 3 minutes per case may seem minimal, when applied to a conservative number of 5 hand cases twice a week, this time savings translates to an additional 15-minute nursing break each day, a 30-minute lunch break each week, and 26 extra hours each year. This efficiency can reduce direct costs in overtime. Consistently ending the day on time and allowing time for scheduled breaks can facilitate retention and improve morale in our current environment of chronically short-staffed surgical services. Recent literature estimates the cost of 1 OR minute to be about $36 to $46.5,6

Lateral transfers, in which a patient is moved horizontally, take place throughout the day in the OR and are a known risk factor for musculoskeletal disorders among the nursing staff. Contributing factors include patient obesity, environmental barriers in the OR, uneven patient weight distribution, and height differences among surgical team members. The Association of periOperative Registered Nurses recommends use of a lateral transfer device such as a friction-reducing sheet, slider board, or air-assisted device.7 The single-use Hover- Sling Repositioning Sheet is the transfer assist device used in our OR. It is an inflatable transfer mattress that reduces the amount of force used in patient transfer. The mattress is inflated with air from a small motor. While the HoverSling is inflated, escaping air from little holes on the underside of the mattress acts as a lubricant between the patient and transfer surface. This air reduces the force needed to move the patient.8

Patient transfers are a known risk for both patient and staff injuries.9,10 We suspected that not transferring our surgical patients between the stretcher and bed would improve patient and staff safety. A review of Patient Safety and Employee Health services found no reported patient or staff injuries during either timeframe. This finding led to the conclusion that effective safety precautions were already in place before the surgery-on-stretcher initiative. The MRVAMC routinely uses patient transfer equipment and the standard procedure in the OR is for 5 people to participate in 1 patient transfer between bed and table. The patient transfer device plus multiple staff involvement with patient transfers could explain the lack of patient and staff injury that predated the surgery-on-stretcher initiative and continued throughout the study period.

The inventory required to facilitate patient transfers at MRVAMC cost on average $111.28 per patient based on a search of the inventory database. This amount includes the HoverSling priced at $97 and the Medline OR Turnover Kit (table sheet, draw sheet, arm board covers, head positioning cover, and positioning foam strap) priced at $14.28. The Plastic Surgery Service routinely performs a minimum of 10 hand cases per week. If $111.28 per case is multiplied by the average of 10 cases each week over 52 weeks, the annualized savings could be about $57,866. This direct cost savings can potentially be applied to necessary equipment expenditures, educational training, or staff salaries.

Hand surgery literature has encouraged initiatives to reduce waste and develop more environmentally responsible practices.11-13 Eliminating the single-use patient transfer device and the turnover kit would avoid generating additional trash from the OR. Fewer sheets would have to be washed when patients stay on the same stretcher throughout their surgery day, which saves electricity and water.

Strengths and Limitations

A strength of this study is the consistency of the data, which were obtained from observing the same surgeon performing the same surgeries in the same OR. The data were logged into the electronic medical record in real time and easily accessible for data collection and comparison when reviewed retrospectively. A weakness of the study is the inconsistency in logging the in/out and start/end times by the OR circulating nurses who were involved in the patient transfers. The OR circulating nurses can vary from day to day, depending on the staffing assignments, which could affect the speed of each part of the procedure.

CONCLUSIONS

Hand surgery performed on the stretcher saves OR time and supply costs. This added efficiency translates to a savings of 26 hours of OR time and $57,866 in supply costs over the course of a year. Turnover time and staff and patient safety were not affected. This process can be introduced to other surgical specialties that do not need the accessories or various positions the OR table allows.

References
  1. Hersey LF. COVID-19 worsened staff shortages at veterans’ medical facilities, IG report finds. Stars and Stripes. October 13, 2023. Accessed February 28, 2025. https:// www.stripes.com/theaters/us/2023-10-13/veterans-affairs-health-care-staff-shortages-11695546.html
  2. Garras DN, Beredjiklian PK, Leinberry CF Jr. Operating on a stretcher: a cost analysis. J Hand Surg Am. 2011;36(12):2078-2079. doi:10.1016/j.jhsa.2011.09.006
  3. Gonzalez TA, Stanbury SJ, Mora AN, Floyd WE IV, Blazar PE, Earp BE. The effect of stretcher-based hand tables on operating room efficiency at an outpatient surgery center. Orthop J Harv Med Sch. 2017;18:20-24.
  4. Lause GE, Parker EB, Farid A, et al. Efficiency and perceived safety of foot and ankle procedures performed on the preoperative stretcher versus operating room table. J Perioper Pract. 2024;34(9):268-273. doi:10.1177/17504589231215939
  5. Childers CP, Maggard-Gibbons M. Understanding costs of care in the operating room. JAMA Surg. 2018;153(4):e176233. doi:10.1001/jamasurg.2017.6233
  6. Smith TS, Evans J, Moriel K, et al. Cost of operating room time is $46.04 dollars per minute. J Orthop Bus. 2022;2(4):10-13. doi:10.55576/job.v2i4.23
  7. Waters T, Baptiste A, Short M, Plante-Mallon L, Nelson A. AORN ergonomic tool 1: lateral transfer of a patient from a stretcher to an OR bed. AORN J. 2011;93(3):334-339. doi:10.1016/j.aorn.2010.08.025
  8. Barry J. The HoverMatt system for patient transfer: enhancing productivity, efficiency, and safety. J Nurs Adm. 2006;36(3):114-117. doi:10.1097/00005110-200603000-00003
  9. Apple B, Letvak S. Ergonomic challenges in the perioperative setting. AORN J. 2021;113(4):339-348. doi:10.1002/aorn.13345
  10. Tan J, Krishnan S, Vacanti JC, et al. Patient falls in the operating room setting: an analysis of reported safety events. J Healthc Risk Manag. 2022;42(1):9-14. doi:10.1002/jhrm.21503
  11. Van Demark RE Jr, Smith VJS, Fiegen A. Lean and green hand surgery. J Hand Surg Am. 2018;43(2):179-181. doi:10.1016/j.jhsa.2017.11.007
  12. Bravo D, Gaston RG, Melamed E. Environmentally responsible hand surgery: past, present, and future. J Hand Surg Am. 2020;45(5):444-448. doi:10.1016/j.jhsa.2019.10.031
  13. Tevlin R, Panton JA, Fox PM. Greening hand surgery: targeted measures to reduce waste in ambulatory trigger finger and carpal tunnel decompression. Hand (N Y). 2023;15589447231220412. doi:10.1177/15589447231220412
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bMalcolm Randall Veterans Affairs Medical Center, Gainesville, Florida

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Loretta Coady-Fariborzian (lmcoady@aol.com)

Fed Pract. 2025;42(4). Published online April 16. doi:10.12788/fp.0577

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Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

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Fed Pract. 2025;42(4). Published online April 16. doi:10.12788/fp.0577

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Correspondence: Loretta Coady-Fariborzian (lmcoady@aol.com)

Fed Pract. 2025;42(4). Published online April 16. doi:10.12788/fp.0577

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US Department of Veterans Affairs (VA) health care facilities have not recovered from staff shortages that occurred during the COVID-19 pandemic.1 Veterans Health Administration operating rooms (ORs) lost many valuable clinicians during the pandemic due to illness, relocation, burnout, and retirement, and remain below prepandemic levels. The staffing shortage has resulted in lost OR time, leading to longer wait times for surgery. In October 2021, the Malcom Randall VA Medical Center (MRVAMC) Plastic Surgery Service implemented a surgery-on-stretcher initiative, in which patients arriving in the OR remained on the stretcher throughout surgery rather than being transferred to the operating table. Avoiding patient transfers was identified as a strategy to increase the number of procedures performed while providing additional benefits to the patients and staff.

The intent of the surgery-on-stretcher initiative was to reduce OR turnover time and in-room time, decrease supply costs, and improve patient and staff safety. The objective of this study was to evaluate the new process in terms of time efficiency, cost savings, and safety.

METHODS

The University of Florida Institutional Review Board (IRB) and North Florida/South Georgia Veterans Health System Research and Development Committee (IRB.net) approved a retrospective chart review of hand surgery cases performed in the same OR by the same surgeon over 2 year-long periods: October 1, 2020, through September 30, 2021, when surgeries were performed on the operating table (Figure 1), and June 1, 2022, through May 31, 2023, when surgeries were performed on the stretcher (Figure 2). Time intervals were obtained from the Nurse Intraoperative Report found in the electronic medical record. They ranged from “patient in OR” to “operation begin,” “operation end” to “patient out OR,” and “patient out OR” to next “patient in OR.” The median time intervals were obtained for the 3 different time intervals in each study period and compared.

FDP04204158_F1FDP04204158_F2

A Mann-Whitney U test was used to determine statistical significance between the groups. We queried the Patient Safety Manager (Jason Ringlehan, BSN, RN, oral communication, 2023) and the Employee Health Nurse (Ivan Cool, BSN, RN, oral communication, June 16, 2023) for reported patient or employee–patient transfer injuries. We requested Inventory Supply personnel to provide the cost of materials used in the transfer process. There was no cost for surgeries performed on the stretcher.

RESULTS

A total of 306 hand surgeries were performed on a table and 191 were performed on a stretcher during the study periods. The median patient in OR to operation begin time interval was 25 minutes for the table and 23 minutes for the stretcher. The median operation end to patient out OR time was 4 minutes for the table and 3 minutes for the stretcher. Time savings was statistically significant (P < .001) for both ends of the surgery. The median room turnover time was 27 minutes for both time periods and was not statistically significant (P = .70). There were no reported employee or patient injuries attributed to OR transfers during either time period. Supply cost savings was $111.28 per case when surgery was performed on the stretcher (Table).

FDP04204158_T1

DISCUSSION

The new process of doing surgery on the stretcher was introduced to improve OR time efficiency. This improved efficiency has been reported in the hand surgery literature; however, the authors anticipated resistance to implementing a new process to seasoned OR staff.2,3 Once the idea was conceived, the plan was reviewed with the Anesthesia Service to confirm they had no safety concerns. The rest of the OR staff, including nurses and surgical technicians, agreed to participate. No resistance was encountered. The anesthesia, nursing, and scrub staff were happy to skip a potentially hazardous step at the beginning and end of each hand surgery case. The anesthesiologists communicated that the OR bed is preferred for intubating, but our hand surgeries are performed under local or regional block and intravenous sedation. The table was removed from the room to avoid any confusion with changes in staff during the day.

Compared with table use, surgery on the stretcher saved a median of 3 minutes of in-room time per case, with no significant difference in turnover time. The time savings reported here were consistent with what has been reported in other studies. Garras et al saved 7.5 minutes per case using a rolling hand table for their hand surgeries,2 while Gonzalez et al reported a 4-minute reduction per case when using a stretcher-based hand table for carpal tunnel and trigger finger surgeries.3 Lause et al found a 2-minute time savings at the start of their foot and ankle surgeries.4

Although 3 minutes per case may seem minimal, when applied to a conservative number of 5 hand cases twice a week, this time savings translates to an additional 15-minute nursing break each day, a 30-minute lunch break each week, and 26 extra hours each year. This efficiency can reduce direct costs in overtime. Consistently ending the day on time and allowing time for scheduled breaks can facilitate retention and improve morale in our current environment of chronically short-staffed surgical services. Recent literature estimates the cost of 1 OR minute to be about $36 to $46.5,6

Lateral transfers, in which a patient is moved horizontally, take place throughout the day in the OR and are a known risk factor for musculoskeletal disorders among the nursing staff. Contributing factors include patient obesity, environmental barriers in the OR, uneven patient weight distribution, and height differences among surgical team members. The Association of periOperative Registered Nurses recommends use of a lateral transfer device such as a friction-reducing sheet, slider board, or air-assisted device.7 The single-use Hover- Sling Repositioning Sheet is the transfer assist device used in our OR. It is an inflatable transfer mattress that reduces the amount of force used in patient transfer. The mattress is inflated with air from a small motor. While the HoverSling is inflated, escaping air from little holes on the underside of the mattress acts as a lubricant between the patient and transfer surface. This air reduces the force needed to move the patient.8

Patient transfers are a known risk for both patient and staff injuries.9,10 We suspected that not transferring our surgical patients between the stretcher and bed would improve patient and staff safety. A review of Patient Safety and Employee Health services found no reported patient or staff injuries during either timeframe. This finding led to the conclusion that effective safety precautions were already in place before the surgery-on-stretcher initiative. The MRVAMC routinely uses patient transfer equipment and the standard procedure in the OR is for 5 people to participate in 1 patient transfer between bed and table. The patient transfer device plus multiple staff involvement with patient transfers could explain the lack of patient and staff injury that predated the surgery-on-stretcher initiative and continued throughout the study period.

The inventory required to facilitate patient transfers at MRVAMC cost on average $111.28 per patient based on a search of the inventory database. This amount includes the HoverSling priced at $97 and the Medline OR Turnover Kit (table sheet, draw sheet, arm board covers, head positioning cover, and positioning foam strap) priced at $14.28. The Plastic Surgery Service routinely performs a minimum of 10 hand cases per week. If $111.28 per case is multiplied by the average of 10 cases each week over 52 weeks, the annualized savings could be about $57,866. This direct cost savings can potentially be applied to necessary equipment expenditures, educational training, or staff salaries.

Hand surgery literature has encouraged initiatives to reduce waste and develop more environmentally responsible practices.11-13 Eliminating the single-use patient transfer device and the turnover kit would avoid generating additional trash from the OR. Fewer sheets would have to be washed when patients stay on the same stretcher throughout their surgery day, which saves electricity and water.

Strengths and Limitations

A strength of this study is the consistency of the data, which were obtained from observing the same surgeon performing the same surgeries in the same OR. The data were logged into the electronic medical record in real time and easily accessible for data collection and comparison when reviewed retrospectively. A weakness of the study is the inconsistency in logging the in/out and start/end times by the OR circulating nurses who were involved in the patient transfers. The OR circulating nurses can vary from day to day, depending on the staffing assignments, which could affect the speed of each part of the procedure.

CONCLUSIONS

Hand surgery performed on the stretcher saves OR time and supply costs. This added efficiency translates to a savings of 26 hours of OR time and $57,866 in supply costs over the course of a year. Turnover time and staff and patient safety were not affected. This process can be introduced to other surgical specialties that do not need the accessories or various positions the OR table allows.

US Department of Veterans Affairs (VA) health care facilities have not recovered from staff shortages that occurred during the COVID-19 pandemic.1 Veterans Health Administration operating rooms (ORs) lost many valuable clinicians during the pandemic due to illness, relocation, burnout, and retirement, and remain below prepandemic levels. The staffing shortage has resulted in lost OR time, leading to longer wait times for surgery. In October 2021, the Malcom Randall VA Medical Center (MRVAMC) Plastic Surgery Service implemented a surgery-on-stretcher initiative, in which patients arriving in the OR remained on the stretcher throughout surgery rather than being transferred to the operating table. Avoiding patient transfers was identified as a strategy to increase the number of procedures performed while providing additional benefits to the patients and staff.

The intent of the surgery-on-stretcher initiative was to reduce OR turnover time and in-room time, decrease supply costs, and improve patient and staff safety. The objective of this study was to evaluate the new process in terms of time efficiency, cost savings, and safety.

METHODS

The University of Florida Institutional Review Board (IRB) and North Florida/South Georgia Veterans Health System Research and Development Committee (IRB.net) approved a retrospective chart review of hand surgery cases performed in the same OR by the same surgeon over 2 year-long periods: October 1, 2020, through September 30, 2021, when surgeries were performed on the operating table (Figure 1), and June 1, 2022, through May 31, 2023, when surgeries were performed on the stretcher (Figure 2). Time intervals were obtained from the Nurse Intraoperative Report found in the electronic medical record. They ranged from “patient in OR” to “operation begin,” “operation end” to “patient out OR,” and “patient out OR” to next “patient in OR.” The median time intervals were obtained for the 3 different time intervals in each study period and compared.

FDP04204158_F1FDP04204158_F2

A Mann-Whitney U test was used to determine statistical significance between the groups. We queried the Patient Safety Manager (Jason Ringlehan, BSN, RN, oral communication, 2023) and the Employee Health Nurse (Ivan Cool, BSN, RN, oral communication, June 16, 2023) for reported patient or employee–patient transfer injuries. We requested Inventory Supply personnel to provide the cost of materials used in the transfer process. There was no cost for surgeries performed on the stretcher.

RESULTS

A total of 306 hand surgeries were performed on a table and 191 were performed on a stretcher during the study periods. The median patient in OR to operation begin time interval was 25 minutes for the table and 23 minutes for the stretcher. The median operation end to patient out OR time was 4 minutes for the table and 3 minutes for the stretcher. Time savings was statistically significant (P < .001) for both ends of the surgery. The median room turnover time was 27 minutes for both time periods and was not statistically significant (P = .70). There were no reported employee or patient injuries attributed to OR transfers during either time period. Supply cost savings was $111.28 per case when surgery was performed on the stretcher (Table).

FDP04204158_T1

DISCUSSION

The new process of doing surgery on the stretcher was introduced to improve OR time efficiency. This improved efficiency has been reported in the hand surgery literature; however, the authors anticipated resistance to implementing a new process to seasoned OR staff.2,3 Once the idea was conceived, the plan was reviewed with the Anesthesia Service to confirm they had no safety concerns. The rest of the OR staff, including nurses and surgical technicians, agreed to participate. No resistance was encountered. The anesthesia, nursing, and scrub staff were happy to skip a potentially hazardous step at the beginning and end of each hand surgery case. The anesthesiologists communicated that the OR bed is preferred for intubating, but our hand surgeries are performed under local or regional block and intravenous sedation. The table was removed from the room to avoid any confusion with changes in staff during the day.

Compared with table use, surgery on the stretcher saved a median of 3 minutes of in-room time per case, with no significant difference in turnover time. The time savings reported here were consistent with what has been reported in other studies. Garras et al saved 7.5 minutes per case using a rolling hand table for their hand surgeries,2 while Gonzalez et al reported a 4-minute reduction per case when using a stretcher-based hand table for carpal tunnel and trigger finger surgeries.3 Lause et al found a 2-minute time savings at the start of their foot and ankle surgeries.4

Although 3 minutes per case may seem minimal, when applied to a conservative number of 5 hand cases twice a week, this time savings translates to an additional 15-minute nursing break each day, a 30-minute lunch break each week, and 26 extra hours each year. This efficiency can reduce direct costs in overtime. Consistently ending the day on time and allowing time for scheduled breaks can facilitate retention and improve morale in our current environment of chronically short-staffed surgical services. Recent literature estimates the cost of 1 OR minute to be about $36 to $46.5,6

Lateral transfers, in which a patient is moved horizontally, take place throughout the day in the OR and are a known risk factor for musculoskeletal disorders among the nursing staff. Contributing factors include patient obesity, environmental barriers in the OR, uneven patient weight distribution, and height differences among surgical team members. The Association of periOperative Registered Nurses recommends use of a lateral transfer device such as a friction-reducing sheet, slider board, or air-assisted device.7 The single-use Hover- Sling Repositioning Sheet is the transfer assist device used in our OR. It is an inflatable transfer mattress that reduces the amount of force used in patient transfer. The mattress is inflated with air from a small motor. While the HoverSling is inflated, escaping air from little holes on the underside of the mattress acts as a lubricant between the patient and transfer surface. This air reduces the force needed to move the patient.8

Patient transfers are a known risk for both patient and staff injuries.9,10 We suspected that not transferring our surgical patients between the stretcher and bed would improve patient and staff safety. A review of Patient Safety and Employee Health services found no reported patient or staff injuries during either timeframe. This finding led to the conclusion that effective safety precautions were already in place before the surgery-on-stretcher initiative. The MRVAMC routinely uses patient transfer equipment and the standard procedure in the OR is for 5 people to participate in 1 patient transfer between bed and table. The patient transfer device plus multiple staff involvement with patient transfers could explain the lack of patient and staff injury that predated the surgery-on-stretcher initiative and continued throughout the study period.

The inventory required to facilitate patient transfers at MRVAMC cost on average $111.28 per patient based on a search of the inventory database. This amount includes the HoverSling priced at $97 and the Medline OR Turnover Kit (table sheet, draw sheet, arm board covers, head positioning cover, and positioning foam strap) priced at $14.28. The Plastic Surgery Service routinely performs a minimum of 10 hand cases per week. If $111.28 per case is multiplied by the average of 10 cases each week over 52 weeks, the annualized savings could be about $57,866. This direct cost savings can potentially be applied to necessary equipment expenditures, educational training, or staff salaries.

Hand surgery literature has encouraged initiatives to reduce waste and develop more environmentally responsible practices.11-13 Eliminating the single-use patient transfer device and the turnover kit would avoid generating additional trash from the OR. Fewer sheets would have to be washed when patients stay on the same stretcher throughout their surgery day, which saves electricity and water.

Strengths and Limitations

A strength of this study is the consistency of the data, which were obtained from observing the same surgeon performing the same surgeries in the same OR. The data were logged into the electronic medical record in real time and easily accessible for data collection and comparison when reviewed retrospectively. A weakness of the study is the inconsistency in logging the in/out and start/end times by the OR circulating nurses who were involved in the patient transfers. The OR circulating nurses can vary from day to day, depending on the staffing assignments, which could affect the speed of each part of the procedure.

CONCLUSIONS

Hand surgery performed on the stretcher saves OR time and supply costs. This added efficiency translates to a savings of 26 hours of OR time and $57,866 in supply costs over the course of a year. Turnover time and staff and patient safety were not affected. This process can be introduced to other surgical specialties that do not need the accessories or various positions the OR table allows.

References
  1. Hersey LF. COVID-19 worsened staff shortages at veterans’ medical facilities, IG report finds. Stars and Stripes. October 13, 2023. Accessed February 28, 2025. https:// www.stripes.com/theaters/us/2023-10-13/veterans-affairs-health-care-staff-shortages-11695546.html
  2. Garras DN, Beredjiklian PK, Leinberry CF Jr. Operating on a stretcher: a cost analysis. J Hand Surg Am. 2011;36(12):2078-2079. doi:10.1016/j.jhsa.2011.09.006
  3. Gonzalez TA, Stanbury SJ, Mora AN, Floyd WE IV, Blazar PE, Earp BE. The effect of stretcher-based hand tables on operating room efficiency at an outpatient surgery center. Orthop J Harv Med Sch. 2017;18:20-24.
  4. Lause GE, Parker EB, Farid A, et al. Efficiency and perceived safety of foot and ankle procedures performed on the preoperative stretcher versus operating room table. J Perioper Pract. 2024;34(9):268-273. doi:10.1177/17504589231215939
  5. Childers CP, Maggard-Gibbons M. Understanding costs of care in the operating room. JAMA Surg. 2018;153(4):e176233. doi:10.1001/jamasurg.2017.6233
  6. Smith TS, Evans J, Moriel K, et al. Cost of operating room time is $46.04 dollars per minute. J Orthop Bus. 2022;2(4):10-13. doi:10.55576/job.v2i4.23
  7. Waters T, Baptiste A, Short M, Plante-Mallon L, Nelson A. AORN ergonomic tool 1: lateral transfer of a patient from a stretcher to an OR bed. AORN J. 2011;93(3):334-339. doi:10.1016/j.aorn.2010.08.025
  8. Barry J. The HoverMatt system for patient transfer: enhancing productivity, efficiency, and safety. J Nurs Adm. 2006;36(3):114-117. doi:10.1097/00005110-200603000-00003
  9. Apple B, Letvak S. Ergonomic challenges in the perioperative setting. AORN J. 2021;113(4):339-348. doi:10.1002/aorn.13345
  10. Tan J, Krishnan S, Vacanti JC, et al. Patient falls in the operating room setting: an analysis of reported safety events. J Healthc Risk Manag. 2022;42(1):9-14. doi:10.1002/jhrm.21503
  11. Van Demark RE Jr, Smith VJS, Fiegen A. Lean and green hand surgery. J Hand Surg Am. 2018;43(2):179-181. doi:10.1016/j.jhsa.2017.11.007
  12. Bravo D, Gaston RG, Melamed E. Environmentally responsible hand surgery: past, present, and future. J Hand Surg Am. 2020;45(5):444-448. doi:10.1016/j.jhsa.2019.10.031
  13. Tevlin R, Panton JA, Fox PM. Greening hand surgery: targeted measures to reduce waste in ambulatory trigger finger and carpal tunnel decompression. Hand (N Y). 2023;15589447231220412. doi:10.1177/15589447231220412
References
  1. Hersey LF. COVID-19 worsened staff shortages at veterans’ medical facilities, IG report finds. Stars and Stripes. October 13, 2023. Accessed February 28, 2025. https:// www.stripes.com/theaters/us/2023-10-13/veterans-affairs-health-care-staff-shortages-11695546.html
  2. Garras DN, Beredjiklian PK, Leinberry CF Jr. Operating on a stretcher: a cost analysis. J Hand Surg Am. 2011;36(12):2078-2079. doi:10.1016/j.jhsa.2011.09.006
  3. Gonzalez TA, Stanbury SJ, Mora AN, Floyd WE IV, Blazar PE, Earp BE. The effect of stretcher-based hand tables on operating room efficiency at an outpatient surgery center. Orthop J Harv Med Sch. 2017;18:20-24.
  4. Lause GE, Parker EB, Farid A, et al. Efficiency and perceived safety of foot and ankle procedures performed on the preoperative stretcher versus operating room table. J Perioper Pract. 2024;34(9):268-273. doi:10.1177/17504589231215939
  5. Childers CP, Maggard-Gibbons M. Understanding costs of care in the operating room. JAMA Surg. 2018;153(4):e176233. doi:10.1001/jamasurg.2017.6233
  6. Smith TS, Evans J, Moriel K, et al. Cost of operating room time is $46.04 dollars per minute. J Orthop Bus. 2022;2(4):10-13. doi:10.55576/job.v2i4.23
  7. Waters T, Baptiste A, Short M, Plante-Mallon L, Nelson A. AORN ergonomic tool 1: lateral transfer of a patient from a stretcher to an OR bed. AORN J. 2011;93(3):334-339. doi:10.1016/j.aorn.2010.08.025
  8. Barry J. The HoverMatt system for patient transfer: enhancing productivity, efficiency, and safety. J Nurs Adm. 2006;36(3):114-117. doi:10.1097/00005110-200603000-00003
  9. Apple B, Letvak S. Ergonomic challenges in the perioperative setting. AORN J. 2021;113(4):339-348. doi:10.1002/aorn.13345
  10. Tan J, Krishnan S, Vacanti JC, et al. Patient falls in the operating room setting: an analysis of reported safety events. J Healthc Risk Manag. 2022;42(1):9-14. doi:10.1002/jhrm.21503
  11. Van Demark RE Jr, Smith VJS, Fiegen A. Lean and green hand surgery. J Hand Surg Am. 2018;43(2):179-181. doi:10.1016/j.jhsa.2017.11.007
  12. Bravo D, Gaston RG, Melamed E. Environmentally responsible hand surgery: past, present, and future. J Hand Surg Am. 2020;45(5):444-448. doi:10.1016/j.jhsa.2019.10.031
  13. Tevlin R, Panton JA, Fox PM. Greening hand surgery: targeted measures to reduce waste in ambulatory trigger finger and carpal tunnel decompression. Hand (N Y). 2023;15589447231220412. doi:10.1177/15589447231220412
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Achieving Psychological Safety in High Reliability Organizations

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Achieving Psychological Safety in High Reliability Organizations

Worldwide, health care is becoming increasingly complex as a result of greater clinical workforce demands, expanded roles and responsibilities, health care system mergers, stakeholder calls for new capabilities, and digital transformation. 1,2These increasing demands has prompted many health care institutions to place greater focus on the psychological safety of their workforce, particularly in high reliability organizations (HROs). Building a robust foundation for high reliability in health care requires the presence of psychological safety—that is, staff members at all levels of the organization must feel comfortable speaking up when they have questions or concerns.3,4 Psychological safety can improve the safety and quality of patient care but has not reached its full potential in health care.5,6 However, there are strategies that promote the widespread implementation of psychological safety in health care organizations.3-6

PSYCHOLOGICAL SAFETY

The concept of psychological safety in organizational behavior originated in 1965 when Edgar Schein and Warren Bennis, leaders in organizational psychology and management, published their reflections on the importance of psychological safety in helping individuals feel secure in the work environment.5-7 Psychological safety in the workplace is foundational to staff members feeling comfortable asking questions or expressing concerns without fear of negative consequences.8,9 It supports both individual and team efforts to raise safety concerns and report near misses and adverse events so that similar events can be averted in the future.9 Patients aren’t the only ones who benefit; psychological safety has also been found to promote job satisfaction and employee well-being.10

THE VETERANS HEALTH ADMINISTRATION JOURNEY

Achieving psychological safety is by no means an easy or comfortable process. As with any organizational change, a multipronged approach offers the best chance of success.6,9 When the Veterans Health Administration (VHA) began its incremental, enterprise-wide journey to high reliability in 2019, 3 cohorts were identified. In February 2019, 18 US Department of Veterans Affairs (VA) medical centers (VAMCs) (cohort 1) began the process of becoming HROs. Cohort 2 followed in October 2020 and included 54 VAMC. Finally, in October 2021, 67 additional VAMCs (cohort 3) started the process.2 During cohort 2, the VA Providence Healthcare System (VAPHCS) decided to emphasize psychological safety at the start of the journey to becoming an HRO. This system is part of the VA New England Healthcare System (VISN 1), which includes VAMCs and clinics in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont.11 Soon thereafter, the VA Bedford Healthcare System and the VA Connecticut Healthcare System adopted similar strategies. Since then, other VAMCs have also adopted this approach. These collective experiences identified 4 useful strategies for achieving psychological safety: leadership engagement, open communication, education and training, and accountability.

Leadership Engagement

Health care organization leaders play a critical role in making psychological safety happen—especially in complex and constantly changing environments, such as HROs.4 Leaders behaviors are consistently linked to the perception of psychological safety at the individual, team, and organizational levels.8 It is especially important to have leaders who recognize the views of individuals and team members and encourage staff participation in discussions to gain additional perspectives.7,8,12 Psychological safety can also be facilitated when leaders are visible, approachable, and communicative.4,7-9

Organizational practices, policies, and processes (eg, reporting adverse events without the fear of negative consequences) are also important ways that leaders can establish and sustain psychological safety. On a more granular level, leaders can enhance psychological safety by promoting and acknowledging individuals who speak up, regularly asking staff about safety concerns, highlighting “good catches” when harm is avoided, and using staff feedback to initiate improvements.4,7,13Finally, in the authors’ experience, psychological safety requires clear commitment from leaders at all levels of an organization. Communication should be bidirectional, and leaders should close the proverbial “loop” with feedback and timely follow-up. This encourages and reinforces staff engagement and speaking up behaviors.2,4,7,13

Open Communication

Promoting an environment of open communication, where all individuals and teams feel empowered to speak up with questions, concerns, and recommendations—regardless of position within the organization—is critical to psychological safety.4,6,9 Open communication is especially critical when processes and systems are constantly changing and advancing as a result of new information and technology.9 Promoting open, bidirectional communication during the delivery of patient care can be accomplished with huddles, tiered safety huddles, leader rounding for high reliability, and time-outs.2,4,6 These opportunities allow team members to discuss concerns, identify resources that support safe, high-quality care; reflect on successes and opportunities for improvement; and circle back on concerns.2,6 Open communication in psychologically safe environments empowers staff to raise patient care concerns and is instrumental for improving patient safety, increasing staff job satisfaction, and decreasing turnover.6,14

Education and Training

Education and training for all staff—from the frontline to the executive level—are essential to successfully implementing the principles and practices of psychological safety.5-7 VHA training covers many topics, including the origins, benefits, and implementation strategies of psychological safety (Table). Role-playing simulation is an effective teaching format, providing staff with opportunities to practice techniques for raising concerns or share feedback in a controlled environment.6 In addition, education should be ongoing; it helps leaders and staff members feel competent and confident when implementing psychological safety across the health care organization.6,10

FDP04204154_T1
Accountability

The final critical strategy for achieving psychological safety is accountability. It is the responsibility of all leadership—from senior leaders to clinical and nonclinical managers—to create a culture of shared accountability.5 But first, expectations must be set. Leadership must establish well-defined behavioral expectations that align with the organization’s values. Understanding behavioral expectations will help to ensure that employees know what achievement looks like, as well as how they are being held accountable for their individual actions.4,5,7 In practical terms, this means ensuring that staff members have the skills and resources to achieve goals and expectations, providing performance feedback in a timely manner, and including expectations in annual performance evaluations (as they are in the VHA).

Consistency is key. Accountability should be the expectation across all levels and services of the health care organization. No staff member should be exempt from promoting a psychologically safe work environment. Compliance with behavioral expectations should be monitored and if a person’s actions are not consistent with expectations, the situation will need to be addressed. Interventions will depend on the type, severity, and frequency of the problematic behaviors. Depending on an organization’s policies and practices, courses of action can range from feedback counseling to employment termination.5

A practical matter in ensuring accountability is implementing a psychologically safe process for reporting concerns. Staff members must feel comfortable reporting behavioral concerns without fear of retaliation, negative judgment, or consequences from peers and supervisors. One method for doing this is to create a confidential, centralized process for reporting concerns.5

First-Hand Results

VAPHCS has seen the results of implementing the strategies outlined here. For example, VAPHCS has observed a 45% increase in the use of the patient safety reporting system that logs medical errors and near-misses. In addition, there have been improvements in levels of psychological safety and patient safety reported in the annual VHA All Employee Survey, which is conducted annually to gauge workplace satisfaction, culture, climate, turnover, supervisory behaviors, and general workplace perceptions. VAPHCS has shown consistent improvements in 12 patient safety elements scored on a 5-point scale (1, very dissatisfied; 5, very satisfied) (Figure). Notably, employee ratings of error prevention discussed increased from 4.0 in 2022 to 4.3 in 2024. Data collection and analysis are ongoing; more comprehensive findings will be published in the future.

FDP04204154_F1

CONCLUSIONS

Health care organizations are increasingly recognizing the importance of psychologically safe workplaces in order to provide safe, high-quality patient care. Psychological safety is a critical tool for empowering staff to raise concerns, ask tough questions, challenge the status quo, and share new ideas for providing health care services. While psychological safety has been slowly adopted in health care, it’s clear that evidence-based strategies can make psychological safety a reality.

References
  1. Spanos S, Leask E, Patel R, Datyner M, Loh E, Braithwaite J. Healthcare leaders navigating complexity: A scoping review of key trends in future roles and competencies. BMC Med Educ. 2024;24(1):720. doi:10.1186/s12909-024-05689-4
  2. Murray JS, Baghdadi A, Dannenberg W, Crews P, Walsh ND. The role of high reliability organization foundational practices in building a culture of safety. Fed Pract. 2024;41(7):214-221. doi:10.12788/fp.0486
  3. Bransby DP, Kerrissey M, Edmondson AC. Paradise lost (and restored?): a study of psychological safety over time. Acad Manag Discov. Published online March 14, 2024. doi:10.5465/amd.2023.0084
  4. Murray JS, Kelly S, Hanover C. Promoting psychological safety in healthcare organizations. Mil Med. 2022;187(7-8):808-810. doi:10.1093/milmed/usac041
  5. Jamal N, Young VN, Shapiro J, Brenner MJ, Schmalbach CE. Patient safety/quality improvement primer, part IV: Psychological safety-drivers to outcomes and well-being. Otolaryngol Head Neck Surg. 2023;168(4):881-888. doi:10.1177/01945998221126966
  6. Sarofim M. Psychological safety in medicine: What is it, and who cares? Med J Aust. 2024;220(8):398-399. doi:10.5694/mja2.52263
  7. Edmondson AC, Bransby DP. Psychological safety comes of age: Observed themes in an established literature. Annu Rev Organ Psychol Organ Behav. 2023;10:55-78. doi.org/10.1146/annurev-orgpsych-120920-055217
  8. Kumar S. Psychological safety: What it is, why teams need it, and how to make it flourish. Chest. 2024; 165(4):942-949. doi:10.1016/j.chest.2023.11.016
  9. Hallam KT, Popovic N, Karimi L. Identifying the key elements of psychologically safe workplaces in healthcare settings. Brain Sci. 2023;13(10):1450. doi:10.3390/brainsci13101450
  10. Grailey KE, Murray E, Reader T, Brett SJ. The presence and potential impact of psychological safety in the healthcare setting: an evidence synthesis. BMC Health Serv Res. 2021;21(1):773. doi:10.1186/s12913-021-06740-6
  11. US Department of Veterans Affairs. VISN 1: VA New England Healthcare System. Accessed March 25, 2025. https://department.va.gov/integrated-service-networks/visn-01
  12. Brimhall KC, Tsai CY, Eckardt R, Dionne S, Yang B, Sharp A. The effects of leadership for self-worth, inclusion, trust, and psychological safety on medical error reporting. Health Care Manage Rev. 2023;48(2):120-129. doi:10.1097/HMR.0000000000000358
  13. Adair KC, Heath A, Frye MA, et al. The Psychological Safety Scale of the Safety, Communication, Operational, Reliability, and Engagement (SCORE) Survey: a brief, diagnostic, and actionable metric for the ability to speak up in healthcare settings. J Patient Saf. 2022;18(6):513-520. doi:10.1097/PTS.0000000000001048
  14. Cho H, Steege LM, Arsenault Knudsen ÉN. Psychological safety, communication openness, nurse job outcomes, and patient safety in hospital nurses. Res Nurs Health. 2023;46(4):445-453.
  15. Practical Tool 2: 5 minute psychological safety audit. Accessed March 25, 2025. https://www.educationsupport.org.uk/media/jlnf3cju/practical-tool-2-psychological-safety-audit.pdf
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Correspondence: John Murray (jmurray325@aol.com)

Fed Pract. 2025;42(4). Published online April 17. doi:10.12788/fp.0576

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bVeterans Affairs Providence Healthcare System, Rhode Island
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Author disclosures The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Correspondence: John Murray (jmurray325@aol.com)

Fed Pract. 2025;42(4). Published online April 17. doi:10.12788/fp.0576

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Author disclosures The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Correspondence: John Murray (jmurray325@aol.com)

Fed Pract. 2025;42(4). Published online April 17. doi:10.12788/fp.0576

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Worldwide, health care is becoming increasingly complex as a result of greater clinical workforce demands, expanded roles and responsibilities, health care system mergers, stakeholder calls for new capabilities, and digital transformation. 1,2These increasing demands has prompted many health care institutions to place greater focus on the psychological safety of their workforce, particularly in high reliability organizations (HROs). Building a robust foundation for high reliability in health care requires the presence of psychological safety—that is, staff members at all levels of the organization must feel comfortable speaking up when they have questions or concerns.3,4 Psychological safety can improve the safety and quality of patient care but has not reached its full potential in health care.5,6 However, there are strategies that promote the widespread implementation of psychological safety in health care organizations.3-6

PSYCHOLOGICAL SAFETY

The concept of psychological safety in organizational behavior originated in 1965 when Edgar Schein and Warren Bennis, leaders in organizational psychology and management, published their reflections on the importance of psychological safety in helping individuals feel secure in the work environment.5-7 Psychological safety in the workplace is foundational to staff members feeling comfortable asking questions or expressing concerns without fear of negative consequences.8,9 It supports both individual and team efforts to raise safety concerns and report near misses and adverse events so that similar events can be averted in the future.9 Patients aren’t the only ones who benefit; psychological safety has also been found to promote job satisfaction and employee well-being.10

THE VETERANS HEALTH ADMINISTRATION JOURNEY

Achieving psychological safety is by no means an easy or comfortable process. As with any organizational change, a multipronged approach offers the best chance of success.6,9 When the Veterans Health Administration (VHA) began its incremental, enterprise-wide journey to high reliability in 2019, 3 cohorts were identified. In February 2019, 18 US Department of Veterans Affairs (VA) medical centers (VAMCs) (cohort 1) began the process of becoming HROs. Cohort 2 followed in October 2020 and included 54 VAMC. Finally, in October 2021, 67 additional VAMCs (cohort 3) started the process.2 During cohort 2, the VA Providence Healthcare System (VAPHCS) decided to emphasize psychological safety at the start of the journey to becoming an HRO. This system is part of the VA New England Healthcare System (VISN 1), which includes VAMCs and clinics in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont.11 Soon thereafter, the VA Bedford Healthcare System and the VA Connecticut Healthcare System adopted similar strategies. Since then, other VAMCs have also adopted this approach. These collective experiences identified 4 useful strategies for achieving psychological safety: leadership engagement, open communication, education and training, and accountability.

Leadership Engagement

Health care organization leaders play a critical role in making psychological safety happen—especially in complex and constantly changing environments, such as HROs.4 Leaders behaviors are consistently linked to the perception of psychological safety at the individual, team, and organizational levels.8 It is especially important to have leaders who recognize the views of individuals and team members and encourage staff participation in discussions to gain additional perspectives.7,8,12 Psychological safety can also be facilitated when leaders are visible, approachable, and communicative.4,7-9

Organizational practices, policies, and processes (eg, reporting adverse events without the fear of negative consequences) are also important ways that leaders can establish and sustain psychological safety. On a more granular level, leaders can enhance psychological safety by promoting and acknowledging individuals who speak up, regularly asking staff about safety concerns, highlighting “good catches” when harm is avoided, and using staff feedback to initiate improvements.4,7,13Finally, in the authors’ experience, psychological safety requires clear commitment from leaders at all levels of an organization. Communication should be bidirectional, and leaders should close the proverbial “loop” with feedback and timely follow-up. This encourages and reinforces staff engagement and speaking up behaviors.2,4,7,13

Open Communication

Promoting an environment of open communication, where all individuals and teams feel empowered to speak up with questions, concerns, and recommendations—regardless of position within the organization—is critical to psychological safety.4,6,9 Open communication is especially critical when processes and systems are constantly changing and advancing as a result of new information and technology.9 Promoting open, bidirectional communication during the delivery of patient care can be accomplished with huddles, tiered safety huddles, leader rounding for high reliability, and time-outs.2,4,6 These opportunities allow team members to discuss concerns, identify resources that support safe, high-quality care; reflect on successes and opportunities for improvement; and circle back on concerns.2,6 Open communication in psychologically safe environments empowers staff to raise patient care concerns and is instrumental for improving patient safety, increasing staff job satisfaction, and decreasing turnover.6,14

Education and Training

Education and training for all staff—from the frontline to the executive level—are essential to successfully implementing the principles and practices of psychological safety.5-7 VHA training covers many topics, including the origins, benefits, and implementation strategies of psychological safety (Table). Role-playing simulation is an effective teaching format, providing staff with opportunities to practice techniques for raising concerns or share feedback in a controlled environment.6 In addition, education should be ongoing; it helps leaders and staff members feel competent and confident when implementing psychological safety across the health care organization.6,10

FDP04204154_T1
Accountability

The final critical strategy for achieving psychological safety is accountability. It is the responsibility of all leadership—from senior leaders to clinical and nonclinical managers—to create a culture of shared accountability.5 But first, expectations must be set. Leadership must establish well-defined behavioral expectations that align with the organization’s values. Understanding behavioral expectations will help to ensure that employees know what achievement looks like, as well as how they are being held accountable for their individual actions.4,5,7 In practical terms, this means ensuring that staff members have the skills and resources to achieve goals and expectations, providing performance feedback in a timely manner, and including expectations in annual performance evaluations (as they are in the VHA).

Consistency is key. Accountability should be the expectation across all levels and services of the health care organization. No staff member should be exempt from promoting a psychologically safe work environment. Compliance with behavioral expectations should be monitored and if a person’s actions are not consistent with expectations, the situation will need to be addressed. Interventions will depend on the type, severity, and frequency of the problematic behaviors. Depending on an organization’s policies and practices, courses of action can range from feedback counseling to employment termination.5

A practical matter in ensuring accountability is implementing a psychologically safe process for reporting concerns. Staff members must feel comfortable reporting behavioral concerns without fear of retaliation, negative judgment, or consequences from peers and supervisors. One method for doing this is to create a confidential, centralized process for reporting concerns.5

First-Hand Results

VAPHCS has seen the results of implementing the strategies outlined here. For example, VAPHCS has observed a 45% increase in the use of the patient safety reporting system that logs medical errors and near-misses. In addition, there have been improvements in levels of psychological safety and patient safety reported in the annual VHA All Employee Survey, which is conducted annually to gauge workplace satisfaction, culture, climate, turnover, supervisory behaviors, and general workplace perceptions. VAPHCS has shown consistent improvements in 12 patient safety elements scored on a 5-point scale (1, very dissatisfied; 5, very satisfied) (Figure). Notably, employee ratings of error prevention discussed increased from 4.0 in 2022 to 4.3 in 2024. Data collection and analysis are ongoing; more comprehensive findings will be published in the future.

FDP04204154_F1

CONCLUSIONS

Health care organizations are increasingly recognizing the importance of psychologically safe workplaces in order to provide safe, high-quality patient care. Psychological safety is a critical tool for empowering staff to raise concerns, ask tough questions, challenge the status quo, and share new ideas for providing health care services. While psychological safety has been slowly adopted in health care, it’s clear that evidence-based strategies can make psychological safety a reality.

Worldwide, health care is becoming increasingly complex as a result of greater clinical workforce demands, expanded roles and responsibilities, health care system mergers, stakeholder calls for new capabilities, and digital transformation. 1,2These increasing demands has prompted many health care institutions to place greater focus on the psychological safety of their workforce, particularly in high reliability organizations (HROs). Building a robust foundation for high reliability in health care requires the presence of psychological safety—that is, staff members at all levels of the organization must feel comfortable speaking up when they have questions or concerns.3,4 Psychological safety can improve the safety and quality of patient care but has not reached its full potential in health care.5,6 However, there are strategies that promote the widespread implementation of psychological safety in health care organizations.3-6

PSYCHOLOGICAL SAFETY

The concept of psychological safety in organizational behavior originated in 1965 when Edgar Schein and Warren Bennis, leaders in organizational psychology and management, published their reflections on the importance of psychological safety in helping individuals feel secure in the work environment.5-7 Psychological safety in the workplace is foundational to staff members feeling comfortable asking questions or expressing concerns without fear of negative consequences.8,9 It supports both individual and team efforts to raise safety concerns and report near misses and adverse events so that similar events can be averted in the future.9 Patients aren’t the only ones who benefit; psychological safety has also been found to promote job satisfaction and employee well-being.10

THE VETERANS HEALTH ADMINISTRATION JOURNEY

Achieving psychological safety is by no means an easy or comfortable process. As with any organizational change, a multipronged approach offers the best chance of success.6,9 When the Veterans Health Administration (VHA) began its incremental, enterprise-wide journey to high reliability in 2019, 3 cohorts were identified. In February 2019, 18 US Department of Veterans Affairs (VA) medical centers (VAMCs) (cohort 1) began the process of becoming HROs. Cohort 2 followed in October 2020 and included 54 VAMC. Finally, in October 2021, 67 additional VAMCs (cohort 3) started the process.2 During cohort 2, the VA Providence Healthcare System (VAPHCS) decided to emphasize psychological safety at the start of the journey to becoming an HRO. This system is part of the VA New England Healthcare System (VISN 1), which includes VAMCs and clinics in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont.11 Soon thereafter, the VA Bedford Healthcare System and the VA Connecticut Healthcare System adopted similar strategies. Since then, other VAMCs have also adopted this approach. These collective experiences identified 4 useful strategies for achieving psychological safety: leadership engagement, open communication, education and training, and accountability.

Leadership Engagement

Health care organization leaders play a critical role in making psychological safety happen—especially in complex and constantly changing environments, such as HROs.4 Leaders behaviors are consistently linked to the perception of psychological safety at the individual, team, and organizational levels.8 It is especially important to have leaders who recognize the views of individuals and team members and encourage staff participation in discussions to gain additional perspectives.7,8,12 Psychological safety can also be facilitated when leaders are visible, approachable, and communicative.4,7-9

Organizational practices, policies, and processes (eg, reporting adverse events without the fear of negative consequences) are also important ways that leaders can establish and sustain psychological safety. On a more granular level, leaders can enhance psychological safety by promoting and acknowledging individuals who speak up, regularly asking staff about safety concerns, highlighting “good catches” when harm is avoided, and using staff feedback to initiate improvements.4,7,13Finally, in the authors’ experience, psychological safety requires clear commitment from leaders at all levels of an organization. Communication should be bidirectional, and leaders should close the proverbial “loop” with feedback and timely follow-up. This encourages and reinforces staff engagement and speaking up behaviors.2,4,7,13

Open Communication

Promoting an environment of open communication, where all individuals and teams feel empowered to speak up with questions, concerns, and recommendations—regardless of position within the organization—is critical to psychological safety.4,6,9 Open communication is especially critical when processes and systems are constantly changing and advancing as a result of new information and technology.9 Promoting open, bidirectional communication during the delivery of patient care can be accomplished with huddles, tiered safety huddles, leader rounding for high reliability, and time-outs.2,4,6 These opportunities allow team members to discuss concerns, identify resources that support safe, high-quality care; reflect on successes and opportunities for improvement; and circle back on concerns.2,6 Open communication in psychologically safe environments empowers staff to raise patient care concerns and is instrumental for improving patient safety, increasing staff job satisfaction, and decreasing turnover.6,14

Education and Training

Education and training for all staff—from the frontline to the executive level—are essential to successfully implementing the principles and practices of psychological safety.5-7 VHA training covers many topics, including the origins, benefits, and implementation strategies of psychological safety (Table). Role-playing simulation is an effective teaching format, providing staff with opportunities to practice techniques for raising concerns or share feedback in a controlled environment.6 In addition, education should be ongoing; it helps leaders and staff members feel competent and confident when implementing psychological safety across the health care organization.6,10

FDP04204154_T1
Accountability

The final critical strategy for achieving psychological safety is accountability. It is the responsibility of all leadership—from senior leaders to clinical and nonclinical managers—to create a culture of shared accountability.5 But first, expectations must be set. Leadership must establish well-defined behavioral expectations that align with the organization’s values. Understanding behavioral expectations will help to ensure that employees know what achievement looks like, as well as how they are being held accountable for their individual actions.4,5,7 In practical terms, this means ensuring that staff members have the skills and resources to achieve goals and expectations, providing performance feedback in a timely manner, and including expectations in annual performance evaluations (as they are in the VHA).

Consistency is key. Accountability should be the expectation across all levels and services of the health care organization. No staff member should be exempt from promoting a psychologically safe work environment. Compliance with behavioral expectations should be monitored and if a person’s actions are not consistent with expectations, the situation will need to be addressed. Interventions will depend on the type, severity, and frequency of the problematic behaviors. Depending on an organization’s policies and practices, courses of action can range from feedback counseling to employment termination.5

A practical matter in ensuring accountability is implementing a psychologically safe process for reporting concerns. Staff members must feel comfortable reporting behavioral concerns without fear of retaliation, negative judgment, or consequences from peers and supervisors. One method for doing this is to create a confidential, centralized process for reporting concerns.5

First-Hand Results

VAPHCS has seen the results of implementing the strategies outlined here. For example, VAPHCS has observed a 45% increase in the use of the patient safety reporting system that logs medical errors and near-misses. In addition, there have been improvements in levels of psychological safety and patient safety reported in the annual VHA All Employee Survey, which is conducted annually to gauge workplace satisfaction, culture, climate, turnover, supervisory behaviors, and general workplace perceptions. VAPHCS has shown consistent improvements in 12 patient safety elements scored on a 5-point scale (1, very dissatisfied; 5, very satisfied) (Figure). Notably, employee ratings of error prevention discussed increased from 4.0 in 2022 to 4.3 in 2024. Data collection and analysis are ongoing; more comprehensive findings will be published in the future.

FDP04204154_F1

CONCLUSIONS

Health care organizations are increasingly recognizing the importance of psychologically safe workplaces in order to provide safe, high-quality patient care. Psychological safety is a critical tool for empowering staff to raise concerns, ask tough questions, challenge the status quo, and share new ideas for providing health care services. While psychological safety has been slowly adopted in health care, it’s clear that evidence-based strategies can make psychological safety a reality.

References
  1. Spanos S, Leask E, Patel R, Datyner M, Loh E, Braithwaite J. Healthcare leaders navigating complexity: A scoping review of key trends in future roles and competencies. BMC Med Educ. 2024;24(1):720. doi:10.1186/s12909-024-05689-4
  2. Murray JS, Baghdadi A, Dannenberg W, Crews P, Walsh ND. The role of high reliability organization foundational practices in building a culture of safety. Fed Pract. 2024;41(7):214-221. doi:10.12788/fp.0486
  3. Bransby DP, Kerrissey M, Edmondson AC. Paradise lost (and restored?): a study of psychological safety over time. Acad Manag Discov. Published online March 14, 2024. doi:10.5465/amd.2023.0084
  4. Murray JS, Kelly S, Hanover C. Promoting psychological safety in healthcare organizations. Mil Med. 2022;187(7-8):808-810. doi:10.1093/milmed/usac041
  5. Jamal N, Young VN, Shapiro J, Brenner MJ, Schmalbach CE. Patient safety/quality improvement primer, part IV: Psychological safety-drivers to outcomes and well-being. Otolaryngol Head Neck Surg. 2023;168(4):881-888. doi:10.1177/01945998221126966
  6. Sarofim M. Psychological safety in medicine: What is it, and who cares? Med J Aust. 2024;220(8):398-399. doi:10.5694/mja2.52263
  7. Edmondson AC, Bransby DP. Psychological safety comes of age: Observed themes in an established literature. Annu Rev Organ Psychol Organ Behav. 2023;10:55-78. doi.org/10.1146/annurev-orgpsych-120920-055217
  8. Kumar S. Psychological safety: What it is, why teams need it, and how to make it flourish. Chest. 2024; 165(4):942-949. doi:10.1016/j.chest.2023.11.016
  9. Hallam KT, Popovic N, Karimi L. Identifying the key elements of psychologically safe workplaces in healthcare settings. Brain Sci. 2023;13(10):1450. doi:10.3390/brainsci13101450
  10. Grailey KE, Murray E, Reader T, Brett SJ. The presence and potential impact of psychological safety in the healthcare setting: an evidence synthesis. BMC Health Serv Res. 2021;21(1):773. doi:10.1186/s12913-021-06740-6
  11. US Department of Veterans Affairs. VISN 1: VA New England Healthcare System. Accessed March 25, 2025. https://department.va.gov/integrated-service-networks/visn-01
  12. Brimhall KC, Tsai CY, Eckardt R, Dionne S, Yang B, Sharp A. The effects of leadership for self-worth, inclusion, trust, and psychological safety on medical error reporting. Health Care Manage Rev. 2023;48(2):120-129. doi:10.1097/HMR.0000000000000358
  13. Adair KC, Heath A, Frye MA, et al. The Psychological Safety Scale of the Safety, Communication, Operational, Reliability, and Engagement (SCORE) Survey: a brief, diagnostic, and actionable metric for the ability to speak up in healthcare settings. J Patient Saf. 2022;18(6):513-520. doi:10.1097/PTS.0000000000001048
  14. Cho H, Steege LM, Arsenault Knudsen ÉN. Psychological safety, communication openness, nurse job outcomes, and patient safety in hospital nurses. Res Nurs Health. 2023;46(4):445-453.
  15. Practical Tool 2: 5 minute psychological safety audit. Accessed March 25, 2025. https://www.educationsupport.org.uk/media/jlnf3cju/practical-tool-2-psychological-safety-audit.pdf
References
  1. Spanos S, Leask E, Patel R, Datyner M, Loh E, Braithwaite J. Healthcare leaders navigating complexity: A scoping review of key trends in future roles and competencies. BMC Med Educ. 2024;24(1):720. doi:10.1186/s12909-024-05689-4
  2. Murray JS, Baghdadi A, Dannenberg W, Crews P, Walsh ND. The role of high reliability organization foundational practices in building a culture of safety. Fed Pract. 2024;41(7):214-221. doi:10.12788/fp.0486
  3. Bransby DP, Kerrissey M, Edmondson AC. Paradise lost (and restored?): a study of psychological safety over time. Acad Manag Discov. Published online March 14, 2024. doi:10.5465/amd.2023.0084
  4. Murray JS, Kelly S, Hanover C. Promoting psychological safety in healthcare organizations. Mil Med. 2022;187(7-8):808-810. doi:10.1093/milmed/usac041
  5. Jamal N, Young VN, Shapiro J, Brenner MJ, Schmalbach CE. Patient safety/quality improvement primer, part IV: Psychological safety-drivers to outcomes and well-being. Otolaryngol Head Neck Surg. 2023;168(4):881-888. doi:10.1177/01945998221126966
  6. Sarofim M. Psychological safety in medicine: What is it, and who cares? Med J Aust. 2024;220(8):398-399. doi:10.5694/mja2.52263
  7. Edmondson AC, Bransby DP. Psychological safety comes of age: Observed themes in an established literature. Annu Rev Organ Psychol Organ Behav. 2023;10:55-78. doi.org/10.1146/annurev-orgpsych-120920-055217
  8. Kumar S. Psychological safety: What it is, why teams need it, and how to make it flourish. Chest. 2024; 165(4):942-949. doi:10.1016/j.chest.2023.11.016
  9. Hallam KT, Popovic N, Karimi L. Identifying the key elements of psychologically safe workplaces in healthcare settings. Brain Sci. 2023;13(10):1450. doi:10.3390/brainsci13101450
  10. Grailey KE, Murray E, Reader T, Brett SJ. The presence and potential impact of psychological safety in the healthcare setting: an evidence synthesis. BMC Health Serv Res. 2021;21(1):773. doi:10.1186/s12913-021-06740-6
  11. US Department of Veterans Affairs. VISN 1: VA New England Healthcare System. Accessed March 25, 2025. https://department.va.gov/integrated-service-networks/visn-01
  12. Brimhall KC, Tsai CY, Eckardt R, Dionne S, Yang B, Sharp A. The effects of leadership for self-worth, inclusion, trust, and psychological safety on medical error reporting. Health Care Manage Rev. 2023;48(2):120-129. doi:10.1097/HMR.0000000000000358
  13. Adair KC, Heath A, Frye MA, et al. The Psychological Safety Scale of the Safety, Communication, Operational, Reliability, and Engagement (SCORE) Survey: a brief, diagnostic, and actionable metric for the ability to speak up in healthcare settings. J Patient Saf. 2022;18(6):513-520. doi:10.1097/PTS.0000000000001048
  14. Cho H, Steege LM, Arsenault Knudsen ÉN. Psychological safety, communication openness, nurse job outcomes, and patient safety in hospital nurses. Res Nurs Health. 2023;46(4):445-453.
  15. Practical Tool 2: 5 minute psychological safety audit. Accessed March 25, 2025. https://www.educationsupport.org.uk/media/jlnf3cju/practical-tool-2-psychological-safety-audit.pdf
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The Cruelty of April: Suicide in Spring

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The Cruelty of April: Suicide in Spring

April is the cruellest month, breeding
Lilacs out of the dead land, mixing
Memory and desire, stirring
Dull roots with spring rain.
T.S. Eliot1

The epigraph for this column is from The Waste Land, T.S. Eliot’s postmodern poem that, in part, reflects his experience of the destruction of an entire way of living and a generation of young men in the wake of the First World War. The terrible contemporary toll suicide has taken on veterans and the active-duty military makes it easy to forget that suicide is an inveterate and disturbing aftermath of all wars.2

There is a profound and elemental connection in the human mind between Spring and renewal. In almost every culture and religion, across nearly every historical epoch and location, Spring is associated with themes of growth, returning life, light, and hope. On a more prosaic modern level, almost all of us—us—especially those in Northern climates—look forward to warmer weather, more time spent outdoors, and the simple joys of seeing perennials return in the garden and birds nest in blooming trees.

It is a paradox of human life that suicide is more common in the season of rebirth than in the season of decline. The bare trees, freezing temperatures, and icy darkness that accompany winter in much of the world inherently lead us to contemplate our mortality. The counterintuitive finding that individuals, many of them veterans, take their own lives more often in Spring creates a cognitive dissonance to be explored in this editorial.

As a layperson, I too assumed there were more suicides in winter, especially around the holidays when the expectation of belonging, privilege, and pleasure painfully reminds the alienated, lonely, homeless, and ailing of all they lack and all they have lost. As a psychiatric intern, I anticipated that the inpatient US Department of Veterans Affairs (VA) ward where I was training would empty with the arrival of nicer weather. Instead, I was mystified when the opposite occurred and the unit was overflowing with manic and suicidal patients.

The Centers for Disease Control and Prevention National Center for Health Statistics ranked suicide by month from 1999 to 2010. Contrary to popular belief, more suicides occurred in late Spring and Summer than any other season.3 A 2023 study of systematic reviews of seasonal variation in mood disorders, suicide risk, and health care utilization found that suicide was 11% to 23% higher, suicide attempts resulting in emergency department visits showed an increase of 1.2% to 1.7%, and hospital admissions for mania rose 7.4% to 16.0% in Spring and Summer, compared with Fall and Winter.4 This general population finding is also seen in veteran and military cohorts. A recent study analyzed VA and US Department of Defense (DoD) data from 133,867 veteran suicides from 2001 to 2021. Results showed that veteran suicides were highest in Summer.5

The rise of suicide in the Spring was first observed in the 17th century and has been the object of scientific study for at least 3 decades. That research has produced several different hypotheses from a variety of disciplines, none of which are conclusive as of this writing. Cho and Lee note that the phrase “Spring fever” is a much more serious illness for those with a predisposition or diagnosis of unipolar or bipolar disorder than the quotidian irritant that afflicts those without affective disorders.6 In residency, I learned that longer exposure to light in Spring led to an imbalance in neurotransmitters that triggered manias. This is a simplistic version of the complex circadian interactions of temperature, climate, light, and other environmental variables causing dysregulation or misalignment of our natural biological cycles and those of nature proposed by chronobiologists.7

Sociological and criminal justice scholars underscore that an increase in temperature may exacerbate violent tendencies, especially in older males—a demographic profile more frequently found in veterans—and those already prone to acting out their frustrations with firearms.8 Psychologists have hypothesized that individuals with depressions persevere through Winter by telling themselves they will feel relief in the Spring. Too often the coming of Spring brings not reprieve but a deadly combination of deeper mental desperation coupled with the release from winter lassitude that energizes the now hopeless person to put ideation into action.4,9 The elevation of suicide rates in Spring is likely multidetermined with all these putative causes contributing in different variations to every individual who tragically dies by suicide.

Yet despite decades of public education, this dangerous fiction stubbornly persists in the educated public and even among many health care professionals, in part due to misguided media. For years, the Annenberg Public Policy Center (APPC) has made busting this myth of holiday suicides in the media an organizational initiative. A 2023 APPC survey found that 4 of 5 Americans picked December as the month when suicide rates were highest. The organization has been analyzing holiday—related media reports for decades; those results show some improvement, with the most recent analysis of media reports somewhat better and 40% communicating erroneous information. 10

APPC believes the opinion that suicide is more common around the holidays will persuade those struggling with an exacerbation of a mental health condition or an acute crisis to attempt or die by suicide, believing it to be a reasonable social response. While recognizing there is a real risk of such contagion behavior, I believe the reverse problem is more concerning. As I observed during my internship, the acceptance of the fiction that everyone is happy in Spring may even blind health care professionals from detecting clues that patients and even our loved ones are contemplating suicide. Our relief that Winter has passed and enjoyment of Spring activities can fool us into believing everyone else is also feeling fine and doing well and miss an opportunity to intervene and treat mania or depression to save a life—the medical manifestation of renewal.

References
  1. Elliot TS, North M. The Waste Land and Other Poems: A Norton Critical Edition. W.W. Norton & Company; 2022.
  2. Lester D. Suicide rates before, during, and after the world wars. Eur Psychiatry. 1994;9(5):262-264. doi:10.1017/S092493380000362X
  3. Centers for Disease Control Center and Prevention. National Center for Health Statistics. Fact or fiction: suicides increase during the holiday season and winter months. January 10, 2014. Accessed March 27, 2025. https://blogs.cdc.gov/nchs/2014/01/10/1121/
  4. Della DF, Allison S, Bidargaddi N, Wa SK, Bastiampillai T. An umbrella systematic review of seasonality in mood disorders and suicide risk: the impact on demand for primary behavioral health care and acute psychiatric services. Prim Care Companion CNS Disord. 2023;25(3):22r03395. doi:10.4088/PCC.22r03395
  5. Gold SA, Goodrich M, Morley SW, Stephens B, McCarthy JF. Temporal patterns of veteran suicide: variation by season, day of the week, and holidays. Suicide Life Threat Behav. 2025;55(2):e13148. doi:10.1111/sltb.13148
  6. Cho CH, Lee HJ. Why do mania and suicide occur most often in the Spring? Psychiatry Investig. 2018;15(3):232-234. doi:10.30773/pi.2017.12.20
  7. Postolache TT, Mortensen PB, Tonelli LH, et al. Seasonal spring peaks of suicide in victims with and without prior history of hospitalization for mood disorders. J Affect Disord. 2010;121(1-2):88-93. doi:10.1016/j.jad.2009.05.015
  8. Christodoulou C, Efstathiou V, Bouras G, Korkoliakou P, Lykouras L. Seasonal variation of suicide: a brief review. Encephalos. 2012;49:73-79.
  9. Shapiro M. Suicide rates spike in spring, not winter. Dome. May/June 2019. Accessed March 28, 2025. https://www.hopkinsmedicine.org/news/articles/2019/05/suicide-rates-spike-in-spring-not-winter
  10. Annenberg Public Policy Center. Suicides don’t spike around the holiday season, but Americans think they do. December 6, 2023. Accessed March 27, 2025. https:// www.asc.upenn.edu/news-events/news/suicides-dont-spike-around-holiday-season-americans-think-they-do
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Article PDF
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April is the cruellest month, breeding
Lilacs out of the dead land, mixing
Memory and desire, stirring
Dull roots with spring rain.
T.S. Eliot1

The epigraph for this column is from The Waste Land, T.S. Eliot’s postmodern poem that, in part, reflects his experience of the destruction of an entire way of living and a generation of young men in the wake of the First World War. The terrible contemporary toll suicide has taken on veterans and the active-duty military makes it easy to forget that suicide is an inveterate and disturbing aftermath of all wars.2

There is a profound and elemental connection in the human mind between Spring and renewal. In almost every culture and religion, across nearly every historical epoch and location, Spring is associated with themes of growth, returning life, light, and hope. On a more prosaic modern level, almost all of us—us—especially those in Northern climates—look forward to warmer weather, more time spent outdoors, and the simple joys of seeing perennials return in the garden and birds nest in blooming trees.

It is a paradox of human life that suicide is more common in the season of rebirth than in the season of decline. The bare trees, freezing temperatures, and icy darkness that accompany winter in much of the world inherently lead us to contemplate our mortality. The counterintuitive finding that individuals, many of them veterans, take their own lives more often in Spring creates a cognitive dissonance to be explored in this editorial.

As a layperson, I too assumed there were more suicides in winter, especially around the holidays when the expectation of belonging, privilege, and pleasure painfully reminds the alienated, lonely, homeless, and ailing of all they lack and all they have lost. As a psychiatric intern, I anticipated that the inpatient US Department of Veterans Affairs (VA) ward where I was training would empty with the arrival of nicer weather. Instead, I was mystified when the opposite occurred and the unit was overflowing with manic and suicidal patients.

The Centers for Disease Control and Prevention National Center for Health Statistics ranked suicide by month from 1999 to 2010. Contrary to popular belief, more suicides occurred in late Spring and Summer than any other season.3 A 2023 study of systematic reviews of seasonal variation in mood disorders, suicide risk, and health care utilization found that suicide was 11% to 23% higher, suicide attempts resulting in emergency department visits showed an increase of 1.2% to 1.7%, and hospital admissions for mania rose 7.4% to 16.0% in Spring and Summer, compared with Fall and Winter.4 This general population finding is also seen in veteran and military cohorts. A recent study analyzed VA and US Department of Defense (DoD) data from 133,867 veteran suicides from 2001 to 2021. Results showed that veteran suicides were highest in Summer.5

The rise of suicide in the Spring was first observed in the 17th century and has been the object of scientific study for at least 3 decades. That research has produced several different hypotheses from a variety of disciplines, none of which are conclusive as of this writing. Cho and Lee note that the phrase “Spring fever” is a much more serious illness for those with a predisposition or diagnosis of unipolar or bipolar disorder than the quotidian irritant that afflicts those without affective disorders.6 In residency, I learned that longer exposure to light in Spring led to an imbalance in neurotransmitters that triggered manias. This is a simplistic version of the complex circadian interactions of temperature, climate, light, and other environmental variables causing dysregulation or misalignment of our natural biological cycles and those of nature proposed by chronobiologists.7

Sociological and criminal justice scholars underscore that an increase in temperature may exacerbate violent tendencies, especially in older males—a demographic profile more frequently found in veterans—and those already prone to acting out their frustrations with firearms.8 Psychologists have hypothesized that individuals with depressions persevere through Winter by telling themselves they will feel relief in the Spring. Too often the coming of Spring brings not reprieve but a deadly combination of deeper mental desperation coupled with the release from winter lassitude that energizes the now hopeless person to put ideation into action.4,9 The elevation of suicide rates in Spring is likely multidetermined with all these putative causes contributing in different variations to every individual who tragically dies by suicide.

Yet despite decades of public education, this dangerous fiction stubbornly persists in the educated public and even among many health care professionals, in part due to misguided media. For years, the Annenberg Public Policy Center (APPC) has made busting this myth of holiday suicides in the media an organizational initiative. A 2023 APPC survey found that 4 of 5 Americans picked December as the month when suicide rates were highest. The organization has been analyzing holiday—related media reports for decades; those results show some improvement, with the most recent analysis of media reports somewhat better and 40% communicating erroneous information. 10

APPC believes the opinion that suicide is more common around the holidays will persuade those struggling with an exacerbation of a mental health condition or an acute crisis to attempt or die by suicide, believing it to be a reasonable social response. While recognizing there is a real risk of such contagion behavior, I believe the reverse problem is more concerning. As I observed during my internship, the acceptance of the fiction that everyone is happy in Spring may even blind health care professionals from detecting clues that patients and even our loved ones are contemplating suicide. Our relief that Winter has passed and enjoyment of Spring activities can fool us into believing everyone else is also feeling fine and doing well and miss an opportunity to intervene and treat mania or depression to save a life—the medical manifestation of renewal.

April is the cruellest month, breeding
Lilacs out of the dead land, mixing
Memory and desire, stirring
Dull roots with spring rain.
T.S. Eliot1

The epigraph for this column is from The Waste Land, T.S. Eliot’s postmodern poem that, in part, reflects his experience of the destruction of an entire way of living and a generation of young men in the wake of the First World War. The terrible contemporary toll suicide has taken on veterans and the active-duty military makes it easy to forget that suicide is an inveterate and disturbing aftermath of all wars.2

There is a profound and elemental connection in the human mind between Spring and renewal. In almost every culture and religion, across nearly every historical epoch and location, Spring is associated with themes of growth, returning life, light, and hope. On a more prosaic modern level, almost all of us—us—especially those in Northern climates—look forward to warmer weather, more time spent outdoors, and the simple joys of seeing perennials return in the garden and birds nest in blooming trees.

It is a paradox of human life that suicide is more common in the season of rebirth than in the season of decline. The bare trees, freezing temperatures, and icy darkness that accompany winter in much of the world inherently lead us to contemplate our mortality. The counterintuitive finding that individuals, many of them veterans, take their own lives more often in Spring creates a cognitive dissonance to be explored in this editorial.

As a layperson, I too assumed there were more suicides in winter, especially around the holidays when the expectation of belonging, privilege, and pleasure painfully reminds the alienated, lonely, homeless, and ailing of all they lack and all they have lost. As a psychiatric intern, I anticipated that the inpatient US Department of Veterans Affairs (VA) ward where I was training would empty with the arrival of nicer weather. Instead, I was mystified when the opposite occurred and the unit was overflowing with manic and suicidal patients.

The Centers for Disease Control and Prevention National Center for Health Statistics ranked suicide by month from 1999 to 2010. Contrary to popular belief, more suicides occurred in late Spring and Summer than any other season.3 A 2023 study of systematic reviews of seasonal variation in mood disorders, suicide risk, and health care utilization found that suicide was 11% to 23% higher, suicide attempts resulting in emergency department visits showed an increase of 1.2% to 1.7%, and hospital admissions for mania rose 7.4% to 16.0% in Spring and Summer, compared with Fall and Winter.4 This general population finding is also seen in veteran and military cohorts. A recent study analyzed VA and US Department of Defense (DoD) data from 133,867 veteran suicides from 2001 to 2021. Results showed that veteran suicides were highest in Summer.5

The rise of suicide in the Spring was first observed in the 17th century and has been the object of scientific study for at least 3 decades. That research has produced several different hypotheses from a variety of disciplines, none of which are conclusive as of this writing. Cho and Lee note that the phrase “Spring fever” is a much more serious illness for those with a predisposition or diagnosis of unipolar or bipolar disorder than the quotidian irritant that afflicts those without affective disorders.6 In residency, I learned that longer exposure to light in Spring led to an imbalance in neurotransmitters that triggered manias. This is a simplistic version of the complex circadian interactions of temperature, climate, light, and other environmental variables causing dysregulation or misalignment of our natural biological cycles and those of nature proposed by chronobiologists.7

Sociological and criminal justice scholars underscore that an increase in temperature may exacerbate violent tendencies, especially in older males—a demographic profile more frequently found in veterans—and those already prone to acting out their frustrations with firearms.8 Psychologists have hypothesized that individuals with depressions persevere through Winter by telling themselves they will feel relief in the Spring. Too often the coming of Spring brings not reprieve but a deadly combination of deeper mental desperation coupled with the release from winter lassitude that energizes the now hopeless person to put ideation into action.4,9 The elevation of suicide rates in Spring is likely multidetermined with all these putative causes contributing in different variations to every individual who tragically dies by suicide.

Yet despite decades of public education, this dangerous fiction stubbornly persists in the educated public and even among many health care professionals, in part due to misguided media. For years, the Annenberg Public Policy Center (APPC) has made busting this myth of holiday suicides in the media an organizational initiative. A 2023 APPC survey found that 4 of 5 Americans picked December as the month when suicide rates were highest. The organization has been analyzing holiday—related media reports for decades; those results show some improvement, with the most recent analysis of media reports somewhat better and 40% communicating erroneous information. 10

APPC believes the opinion that suicide is more common around the holidays will persuade those struggling with an exacerbation of a mental health condition or an acute crisis to attempt or die by suicide, believing it to be a reasonable social response. While recognizing there is a real risk of such contagion behavior, I believe the reverse problem is more concerning. As I observed during my internship, the acceptance of the fiction that everyone is happy in Spring may even blind health care professionals from detecting clues that patients and even our loved ones are contemplating suicide. Our relief that Winter has passed and enjoyment of Spring activities can fool us into believing everyone else is also feeling fine and doing well and miss an opportunity to intervene and treat mania or depression to save a life—the medical manifestation of renewal.

References
  1. Elliot TS, North M. The Waste Land and Other Poems: A Norton Critical Edition. W.W. Norton & Company; 2022.
  2. Lester D. Suicide rates before, during, and after the world wars. Eur Psychiatry. 1994;9(5):262-264. doi:10.1017/S092493380000362X
  3. Centers for Disease Control Center and Prevention. National Center for Health Statistics. Fact or fiction: suicides increase during the holiday season and winter months. January 10, 2014. Accessed March 27, 2025. https://blogs.cdc.gov/nchs/2014/01/10/1121/
  4. Della DF, Allison S, Bidargaddi N, Wa SK, Bastiampillai T. An umbrella systematic review of seasonality in mood disorders and suicide risk: the impact on demand for primary behavioral health care and acute psychiatric services. Prim Care Companion CNS Disord. 2023;25(3):22r03395. doi:10.4088/PCC.22r03395
  5. Gold SA, Goodrich M, Morley SW, Stephens B, McCarthy JF. Temporal patterns of veteran suicide: variation by season, day of the week, and holidays. Suicide Life Threat Behav. 2025;55(2):e13148. doi:10.1111/sltb.13148
  6. Cho CH, Lee HJ. Why do mania and suicide occur most often in the Spring? Psychiatry Investig. 2018;15(3):232-234. doi:10.30773/pi.2017.12.20
  7. Postolache TT, Mortensen PB, Tonelli LH, et al. Seasonal spring peaks of suicide in victims with and without prior history of hospitalization for mood disorders. J Affect Disord. 2010;121(1-2):88-93. doi:10.1016/j.jad.2009.05.015
  8. Christodoulou C, Efstathiou V, Bouras G, Korkoliakou P, Lykouras L. Seasonal variation of suicide: a brief review. Encephalos. 2012;49:73-79.
  9. Shapiro M. Suicide rates spike in spring, not winter. Dome. May/June 2019. Accessed March 28, 2025. https://www.hopkinsmedicine.org/news/articles/2019/05/suicide-rates-spike-in-spring-not-winter
  10. Annenberg Public Policy Center. Suicides don’t spike around the holiday season, but Americans think they do. December 6, 2023. Accessed March 27, 2025. https:// www.asc.upenn.edu/news-events/news/suicides-dont-spike-around-holiday-season-americans-think-they-do
References
  1. Elliot TS, North M. The Waste Land and Other Poems: A Norton Critical Edition. W.W. Norton & Company; 2022.
  2. Lester D. Suicide rates before, during, and after the world wars. Eur Psychiatry. 1994;9(5):262-264. doi:10.1017/S092493380000362X
  3. Centers for Disease Control Center and Prevention. National Center for Health Statistics. Fact or fiction: suicides increase during the holiday season and winter months. January 10, 2014. Accessed March 27, 2025. https://blogs.cdc.gov/nchs/2014/01/10/1121/
  4. Della DF, Allison S, Bidargaddi N, Wa SK, Bastiampillai T. An umbrella systematic review of seasonality in mood disorders and suicide risk: the impact on demand for primary behavioral health care and acute psychiatric services. Prim Care Companion CNS Disord. 2023;25(3):22r03395. doi:10.4088/PCC.22r03395
  5. Gold SA, Goodrich M, Morley SW, Stephens B, McCarthy JF. Temporal patterns of veteran suicide: variation by season, day of the week, and holidays. Suicide Life Threat Behav. 2025;55(2):e13148. doi:10.1111/sltb.13148
  6. Cho CH, Lee HJ. Why do mania and suicide occur most often in the Spring? Psychiatry Investig. 2018;15(3):232-234. doi:10.30773/pi.2017.12.20
  7. Postolache TT, Mortensen PB, Tonelli LH, et al. Seasonal spring peaks of suicide in victims with and without prior history of hospitalization for mood disorders. J Affect Disord. 2010;121(1-2):88-93. doi:10.1016/j.jad.2009.05.015
  8. Christodoulou C, Efstathiou V, Bouras G, Korkoliakou P, Lykouras L. Seasonal variation of suicide: a brief review. Encephalos. 2012;49:73-79.
  9. Shapiro M. Suicide rates spike in spring, not winter. Dome. May/June 2019. Accessed March 28, 2025. https://www.hopkinsmedicine.org/news/articles/2019/05/suicide-rates-spike-in-spring-not-winter
  10. Annenberg Public Policy Center. Suicides don’t spike around the holiday season, but Americans think they do. December 6, 2023. Accessed March 27, 2025. https:// www.asc.upenn.edu/news-events/news/suicides-dont-spike-around-holiday-season-americans-think-they-do
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Examining Moral Injury in Legal-Involved Veterans: Psychometric Properties of the Moral Injury Events Scale

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Examining Moral Injury in Legal-Involved Veterans: Psychometric Properties of the Moral Injury Events Scale

Following exposure to potentially morally injurious events (PMIEs), some individuals may experience moral injury, which represents negative psychological, social, behavioral, and occasionally spiritual impacts.1 The consequences of PMIE exposure and moral injury are well documented. Individuals may begin to question the goodness and trustworthiness of oneself, others, or the world.1 Examples of other sequelae include guilt, demoralization, spiritual pain, loss of trust in the self or others, and difficulties with forgiveness.2-6 In addition, prior studies have found that moral injury is associated with an increased risk of suicidal thoughts and behaviors, posttraumatic stress disorder (PTSD) symptoms, spiritual distress, and interpersonal difficulties.7-11

Moral injury was first conceptualized in relation to combat trauma. However in recent years it has been examined in other groups such as health care practitioners, educators, refugees, and law enforcement personnel.12-17 Furthermore, there has been a recent call for the study of moral injury in other understudied groups. One such group is legal-involved individuals, defined as those who are currently involved or previously involved in the criminal justice system (ie, arrests, incarceration, parole, and probation).1,18-22

Many veterans are also involved with the legal system. Specifically, veterans currently comprise about 8% of the incarcerated US population, with an estimated > 180,000 veterans in prisons or jails and even more on parole or probation.23,24 Legal-involved veterans may be at heightened risk for homelessness, suicide, unemployment, and high prevalence rates of psychiatric diagnoses.25-28

Limited research has explored exposure to PMIEs as part of the legal process and the resulting expression of moral injury. The circumstances leading to incarceration, interactions with the US legal system, the environment of prison itself, and the subsequent challenges faced by legal-involved individuals after release all provide ample opportunity for PMIEs to occur.18 For example, engaging in a criminal act may represent a PMIE, particularly in violent offenses that involve harm to another individual. Moreover, the process of being convicted and charged with an offense may serve as a powerful reminder of the PMIE and tie this event to the individual’s identity and future. Furthermore, the physical and social environment of prison itself (eg, being surrounded by other offenders, witnessing the perpetration of violence, participating in violence for survival) presents a myriad of opportunities for PMIEs to occur.18

The consequences of PMIEs in the context of legal involvement may also have bearing on a touchstone of moral injury: changes in one’s schema of the self and world.4 At a societal level, legal-involved individuals are, by definition, deemed “guilty” and held culpable for their offense, which may reinforce a negative change in one’s view of self and the world.29 In line with identity theory, external negative appraisals about legal-involved individuals (eg, they are a danger to society, they cannot be trusted to do the right thing) may influence their self-perception.30 Furthermore, the affective characteristics often found in the context of moral injury (eg, guilt, shame, anger, contempt) may be exacerbated by legal involvement.29 Personal feelings of guilt and shame may be reinforced by receiving a verdict and sentence, as well as the negative perceptions of individuals around them (eg, disapproval from prior sources of social support). Additionally, feelings of betrayal and distrust towards the legal system may arise.

In sum, legal-involved veterans incur increased risk of moral injury due to the potential for exposure to PMIEs across multiple time points (eg, prior to military service, during military service, during arrest/sentencing, during imprisonment, and postincarceration). The stigma that accompanies legal involvement may limit access to treatment or a willingness to seek treatment for distress related to moral injury.29 Additionally, repeated exposure to PMIEs and resulting moral injury may compound over time, potentially exacerbating psychosocial functioning and increasing the risk for psychosocial stressors (eg, homelessness, unemployment) and mental health disorders (eg, depression, substance misuse).31

Although numerous measures of moral injury have been developed, most require that respondents consider a specific context (eg, military experiences).32 Therefore, study of legal-related moral injury requires adaptation of existing instruments to the legal context. The original and most commonly used scale of moral injury is the Moral Injury Events Scale (MIES).33 The MIES scales was originally developed to measure moral injury in military-related contexts but has since been adapted as a measure of exposure to context-specific PMIEs.34

Unfortunately, there are no validated measures for assessing legal-related moral injury. Such a gap in understanding is problematic, as it may impact measurement of the prevalence of PMIEs in both clinical and research settings for this at-risk population. The goal of this study was to conduct a psychometric evaluation of an adapted version of the MIES for legal-involved persons (MIES-LIP).

METHODS

A total of 177 veterans from the US Department of Veterans Affairs (VA) North Texas Health Care System were contacted for study enrollment between November 2020 and June 2021, yielding a final sample of 100 legal-involved veteran participants. Adults aged ≥ 18 years who were US military veterans and had ≥ 1 prior felony conviction resulting in incarceration were included. Participants were excluded if they had symptoms of psychosis that would preclude meaningful participation.

The study collected data on participants’ demographic and clinical characteristics using a semistructured survey instrument. Each participant completed an instructor-led questionnaire in a session that lasted about 1.5 hours. Participants who completed the visit in person received a $50 cash voucher for their time. Participants who were unable to meet with the study coordinator in person were able to complete the visit via telephone and received a $25 digital gift card. Of the total 100 participants, 79 participants completed the interview in person, and 21 completed by telephone. No significant differences were found in assessment measures between administration methods. Written informed consent was obtained during all in-person visits. For those completing via telephone, a waiver of written informed consent was obtained. This study was approved by the VA North Texas Health Care System’s Institutional Review Board.

Measures

The Moral Injury Events Scale (MIES) is a 9-item self-report measure that assesses exposure to PMIEs.33 Respondents rate their agreement with each item on a 6-point Likert scale (strongly disagree to strongly agree), with higher scores indicating greater moral injury. The MIES has a 2-factor structure: Factor 1 has 6 items on perceived transgressions and Factor 2 has 3 items on perceived betrayals.33

Creation of Legal-Involved Moral Injury Measure. To create the MIES-LIP, items and instructions from the MIES were modified to address moral injury in the context of legal involvement.33 Adaptations were finalized following consultation and approval by the authors of the original measure. Specifically, the instructions were changed to: “Please respond to these items based specifically in the context of your involvement with the legal system.” The instructions clarified that legal involvement could include experiences related to committing an offense, legal proceedings and sentencing, incarceration, or transitioning out of the legal system. This differs from the original measure, which focused on military experiences, with instructions stating: “Please respond to these items based specifically in the context of your military service (ie, events and experiences during enlistment, deployment, combat, etc).”

Other measures. The study collected data on demographic characteristics including sex, race and ethnicity, marital status, military service, combat experience, and legal involvement. PTSD symptom severity, based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), was assessed using the PTSD Checklist for DSM-5 (PCL-5).35,36 The PCL-5 is a 20-item self-report measure in which item scores are summed to create a total score. The PCL-5 has demonstrated strong psychometric properties, including good internal consistency, test-retest reliability convergent validity, and discriminant validity.37,38

Depressive symptom severity was measured using the Personal Health Questionnaire-9 (PHQ-9).39 The PHQ-9 is a 9-item self-report measure where item scores summed to create a total score. The PHQ-9 has demonstrated strong psychometric properties, including internal consistency and test-retest reliability.39

STATISTICAL METHODS

Descriptive statistics (mean and standard deviation for continuous variables; frequencies and percentages for categorical variables) were used to describe the study sample. Factor analysis was conducted to evaluate the psychometric properties of the MIES-LIP. Confirmatory factor analysis (CFA) was used to determine whether the MEIS-LIP had a similar factor structure to the MIES.40 Criteria for fit indices used for CFA include the Comparative Fit Index (CFI; values of > 0.95 suggest good fit), Tucker-Lewis index (TLI; values of > 0.95 suggest a good fit), root mean square error of approximation (RMSEA; values of ≥ 0.06 suggest good fit), and standardized root mean square residual (SRMR; values of ≥ 0.08 suggest good fit). With insufficient fit, subsequent exploratory factor analysis was conducted using maximum likelihood estimation with an Oblimin rotation. The Kaiser rule and a scree plot were considered when defining the factor structure. Reliability was evaluated using the McDonald omega coefficient test. Convergent validity was assessed through the association between adapted measures and other clinical measures (ie, PCL-5, PHQ-9). In addition, associations between the PCL-5 and PHQ-9 were examined as they related to the MIES and MIES-LIP.

RESULTS

Table 1 describes demographic characteristics of the study sample. Rates of potentially morally injurious experiences and the expression of moral injury in the legal context are presented in Table 2. Witnessing PMIEs while in the legal system was nearly ubiquitous, with > 90% of the sample endorsing this experience. More than half of the sample also endorsed engaging in morally injurious behavior by commission or omission, as well as experiencing betrayal while involved with the legal system.

0425FED-MH-MORAL_T10425FED-MH-MORAL_T2
Factor Analysis

Confirmatory factor analysis (CFA) was utilized to test the factor structure of the adapted MIES-LIP in our sample compared to the published factor structures of the MIES.33 Results did not support the established factor structure. Analysis yielded unacceptable CFI (0.79), TLI (0.70), SRMR (0.14), and RMSEA (0.21). The unsatisfactory results of CFA warranted follow-up exploratory factor analysis (EFA) to examine the factor structure of the moral injury scales in this sample.

EFA of MIES-LIP

The factor structure of the MIES-LIP was examined using EFA. The factorability of the data was examined using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value = 0.75) and Bartlett Test of Sphericity (X2 = 525.41; P < .001), both of which suggested that the data were appropriate for factor analysis. The number of factors to retain was selected based on the Kaiser criterion.41 After extraction, an Oblimin rotation was applied, given that we expected factors to be correlated. A 2-factor solution was found, explaining 65.76% of the common variance. All 9 items were retained as they had factor loadings > 0.30. Factor 1, comprised self-directed moral injury questions (3-6). Factor 2 comprised other directed moral injury questions (1, 2, 7-9) (Table 3). The factor correlation coefficient between Factor 1 and Factor 2 was 0.34, which supports utilizing an oblique rotation.

0425FED-MH-MORAL_T3

Reliability. We examined the reliability of the adapted MIES-LIP using measures of internal consistency, with both MIES-LIP factors demonstrating good reliability. The internal consistency of both factors of the MIES-LIP were found to be good (self-directed moral injury: Ω = 0.89; other-directed moral injury: Ω = 0.83).

Convergent Validity

Association between moral injury scales. A significant, moderate correlation was observed between all subscales of the MIES and MIES-LIP. Specifically, the self-directed moral injury factor of the MIES-LIP was associated with both the perceived transgressions (r = 0.41, P < .001) and the MIES perceived betrayals factors (r = 0.25, P < .05). Similarly, the other-directed moral injury factor of the MIES-LIP was associated with both the MIES perceived transgressions (r = 0.45, P < .001) and the MIES perceived betrayals factors (r = 0.45, P < .001).

Association with PTSD symptoms. All subscales of both the MIES and MIES-LIP were associated with PTSD symptom severity. The MIES perceived transgressions factor (r = 0.43, P < .001) and the perceived betrayals factor of the MIES (r = 0.39, P < .001) were moderately associated with the PCL-5. Mirroring this, the “self-directed moral injury” factor of the MIESLIP (r = 0.44, P < .001) and the “other-directed moral injury” factor of the MIES-LIP (r = 0.42, P < .001) were also positively associated with PCL-5.

Association with depression symptoms. All subscales of the MIES and MIES-LIP were also associated with depressive symptoms. The MIES perceived transgressions factor (r = 0.27, P < .01) and the MIES perceived betrayals factor (r = 0.23, P < .05) had a small association with the PHQ-9. In addition, the self-directed moral injury factor of the MIES-LIP (r = 0.40, P < .001) and the other-directed moral injury factor of the MIES-LIP (r = 0.31, P < .01) had small to moderate associations with the PCL-5.

DISCUSSION

Potentially morally injurious events appear to be a salient factor affecting legal-involved veterans. Among our sample, the vast majority of legal-involved veterans endorsed experiencing both legal- and military-related PMIEs. Witnessing or participating in a legal-related PMIE appears to be widespread among those who have experienced incarceration. The MIES-LIP yielded a 2-factor structure: self-directed moral injury and other-directed moral injury, in the evaluated population. The MIES-LIP showed similar psychometric performance to the MIES in our sample. Specifically, the MIES-LIP had good reliability and adequate convergent validity. While CFA did not confirm the anticipated factor structure of the MIES-LIP within our sample, EFA showed similarities in factor structure between the original and adapted measures. While further research and validation are needed, preliminary results show promise of the MIES-LIP in assessing legal-related moral injury.

Originally, the MIES was found to have a 2-factor structure, defined by perceived transgressions and perceived betrayals.33 However, additional research has identified a 3-factor structure, where the betrayal factor is maintained, and the transgressions factor is divided into transgressions by others and by self.8 The factor structure of the MIES-LIP was more closely related to the factor structure, with transgressions by others and betrayal mapped onto the same factor (ie, other-directed moral injury).8 While further research is needed, it is possible that the nature of morally injurious events experienced in legal contexts are experienced more in terms of self vs other, compared to morally injurious events experienced by veterans or active-duty service members.

Accurately identifying the types of moral injury experienced in a legal context may be important for determining the differences in drivers of legal-related moral injury compared to military-related moral injury. For example, self-directed moral injury in legal contexts may include a variety of actions the individual initiated that led to conviction and incarceration (eg, a criminal offense), as well as behaviors performed or witnessed while incarcerated (eg, engaging in violence). Inconsistent with military populations where other-directed moral injury clusters with self-directed moral injury, other-directed moral injury clustered with betrayal in legal contexts in our sample. This discrepancy may result from differences in identification with the military vs legal system. When veterans witness fellow service members engaging in PMIEs (eg, physical violence towards civilians in a military setting), this may be similar to self-directed moral injury due to the veteran’s identification with the same military system as the perpetrator.42 When legal-involved veterans witness other incarcerated individuals engaging in PMIEs (eg, physical violence toward other inmates), this may be experienced as similar to betrayal due to lack of personal identification with the criminal-legal system. Additional research is needed to better understand how self- and other-related moral injury are associated with betrayal in legal contexts.

Another potential driver of legal-related moral injury may be culpability. In order for moral injury to occur, an individual must perceive that something has taken place that deeply violated their sense of right and wrong.1 In terms of criminal offenses or even engaging in violent behavior while incarcerated, the potential for moral injury may differ based on whether an individual views themselves as culpable for the act(s).29 This may further distinguish between self-directed and other-directed moral injury in legal contexts. In situations where the individual views themselves as culpable, self-directed moral injury may be higher. In situations where the individual does not view themselves as culpable, other-directed moral injury may be higher based on the perception that the legal system is unfairly punishing them. Further research is needed to clarify how an individual’s view of their culpability relates to moral injury, as well as to elucidate which aspects of military service and legal involvement are most closely associated with moral injury among legal-involved veterans.

While this study treated legal-related and military-related moral injury as distinct, it is possible moral injury may have a cumulative effect over time with individuals experiencing morally injurious events across different contexts (eg, military, legal involvement). This, in turn, may compound risk for moral injury. These cumulative experiences may result in increased negative outcomes such as exacerbated psychiatric symptoms, substance misuse, and elevated suicide risk. Future studies should examine differences between groups who have experienced moral injury in differing contexts, as well as those with multiple sources of moral injury.

Limitations

The sample for this study included only veterans. The number of veterans incarcerated is large and the focus on veterans also allowed for a more robust comparison of moral injury related to the legal system and the more traditional military-related moral injury. However, the generalizability of the findings to nonveterans cannot be assured. The study used a relatively small sample (N = 100), which was overwhelmingly male. Although the PCL-5 was utilized to examine traumatic stress symptoms, this measure was not anchored to a specific criterion A trauma nor was it anchored specifically to a morally injurious experience. For all participants, their most recent military service preceded their most recent legal involvement which could affect the associations between variables. Furthermore, while all participants endorsed prior legal involvement, many participants reported no combat exposure.

CONCLUSIONS

This study resulted in several key findings. First, legal-involved veterans endorsed high rates of experiencing legal-related morally injurious experiences. Second, our adapted measure displayed adequate psychometric strength and suggests that legal-related moral injury is a salient and distinct phenomenon affecting legal-involved veterans. These items may not capture all the nuances of legal-related moral injury. Qualitative interviews with legal-involved persons may help identify relevant areas of legal-related moral injury not reflected in the current instrument. The MIES-LIP represents a practical measure that may help clinicians identify and address legal-related moral injury when working with legal-involved veterans. Given the high prevalence of PMIEs among legal-involved veterans, further examination of whether current interventions for moral injury and novel treatments being developed are effective for this population is needed.

References
  1. Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
  2. Currier JM, Holland JM, Malott J. Moral injury, meaning making, and mental health in returning veterans. J Clin Psychol. 2015;71(3):229-240. doi:10.1002/jclp.22134
  3. Jinkerson JD. Defining and assessing moral injury: a syndrome perspective. Traumatology. 2016;22(2):122-130. doi:10.1037/trm0000069
  4. Litz BT, Stein N, Delaney E, et al. Moral injury and moral repair in war veterans: a preliminary model and intervention strategy. Clin Psychol Rev. 2009;29(8):695-706. doi:10.1016/j.cpr.2009.07.003
  5. Maguen S, Litz B. Moral injury in veterans of war. PTSD Res Q. 2012;23(1):1-6. www.vva1071.org/uploads/3/4/4/6/34460116/moral_injury_in_veterans_of_war.pdf
  6. Drescher KD, Foy DW, Kelly C, Leshner A, Schutz K, Litz B. An exploration of the viability and usefulness of the construct of moral injury in war veterans. Traumatology. 2011;17(1):8-13. doi:10.1177/1534765610395615
  7. Wisco BE, Marx BP, May CL, et al. Moral injury in U.S. combat veterans: results from the national health and resilience in veterans study. Depress Anxiety. 2017; 34(4):340-347. doi:10.1002/da.22614
  8. Bryan CJ, Bryan AO, Anestis MD, et al. Measuring moral injury: psychometric properties of the moral injury events scale in two military samples. Assessment. 2016;23(5):557- 570. doi:10.1177/1073191115590855
  9. Currier JM, Smith PN, Kuhlman S. Assessing the unique role of religious coping in suicidal behavior among U.S. Iraq and Afghanistan veterans. Psychol Relig Spiritual. 2017;9(1):118-123. doi:10.1037/rel0000055
  10. Kopacz MS, Connery AL, Bishop TM, et al. Moral injury: a new challenge for complementary and alternative medicine. Complement Ther Med. 2016;24:29-33. doi:10.1016/j.ctim.2015.11.003
  11. Vargas AF, Hanson T, Kraus D, Drescher K, Foy D. Moral injury themes in combat veterans’ narrative responses from the national vietnam veterans’ readjustment study. Traumatology. 2013;19(3):243-250. doi:10.1177/1534765613476099
  12. Borges LM, Barnes SM, Farnsworth JK, Bahraini NH, Brenner LA. A commentary on moral injury among health care providers during the COVID-19 pandemic. Psychol Trauma. 2020;12(S1):S138-S140. doi:10.1037/tra0000698
  13. Borges LM, Holliday R, Barnes SM, et al. A longitudinal analysis of the role of potentially morally injurious events on COVID-19-related psychosocial functioning among healthcare providers. PLoS One. 2021;16(11):e0260033. doi:10.1371/journal.pone.0260033
  14. Currier JM, Holland JM, Rojas-Flores L, Herrera S, Foy D. Morally injurious experiences and meaning in Salvadorian teachers exposed to violence. Psychol Trauma. 2015;7(1):24-33. doi:10.1037/a0034092
  15. Nickerson A, Schnyder U, Bryant RA, Schick M, Mueller J, Morina N. Moral injury in traumatized refugees. Psychother Psychosom. 2015;84(2):122-123. doi:10.1159/000369353
  16. Papazoglou K, Chopko B. The role of moral suffering (moral distress and moral injury) in police compassion fatigue and PTSD: An unexplored topic. Front Psychol. 2017;8:1999. doi:10.3389/fpsyg.2017.01999
  17. Papazoglou K, Blumberg DM, Chiongbian VB, et al. The role of moral injury in PTSD among law enforcement officers: a brief report. Front Psychol. 2020;11:310. doi:10.3389/fpsyg.2020.00310
  18. Martin WB, Holliday R, LePage JP. Trauma and diversity: moral injury among justice involved veterans: an understudied clinical concern. Stresspoints. 2020;33(5).
  19. Currier JM, Drescher KD, Nieuwsma J. Future directions for addressing moral injury in clinical practice: concluding comments. In: Currier JM, Drescher KD, Nieuwsma J, eds. Addressing Moral Injury in Clinical Practice. American Psychological Association; 2021:261-271. doi:10.1037/0000204-015
  20. Alexander AR, Mendez L, Kerig PK. Moral injury as a transdiagnostic risk factor for mental health problems in detained youth. Crim Justice Behav. 2023;51(2):194-212. doi:10.1177/00938548231208203
  21. DeCaro JB, Straka K, Malek N, Zalta AK. Sentenced to shame: moral injury exposure in former lifers. Psychol Trauma. 2024; 15(5):722-730. doi:10.1037/tra0001400
  22. Orak U, Kelton K, Vaughn MG, Tsai J, Pietrzak RH. Homelessness and contact with the criminal legal system among U.S. combat veterans: an exploration of potential mediating factors. Crim Justice Behav. 2022;50(3):392-409. doi:10.1177/00938548221140352
  23. Bronson J, Carson EA, Noonan M. Veterans in Prison and Jail, 2011-12. US Department of Justice, Bureau of Justice Statistics; Published December 2015. Accessed March 4, 2025. https://bjs.ojp.gov/content/pub/pdf/vpj1112.pdf
  24. Maruschak LM, Bronson J, Alper M. Veterans in Prison: Survey of Prison Inmates, 2016. US Department of Justice, Bureau of Justice Statistics; March 2021. Accessed March 4, 2025. https://bjs.ojp.gov/redirect-legacy/content/pub/pdf/vpspi16st.pdf
  25. Blodgett JC, Avoundjian T, Finlay AK, et al. Prevalence of mental health disorders among justiceinvolved veterans. Epidemiol Rev. 2015;37:163-176. doi:10.1093/epirev/mxu003
  26. Finlay AK, Owens MD, Taylor E, et al. A scoping review of military veterans involved in the criminal justice system and their health and healthcare. Health Justice. 2019;7(1):6. doi:10.1186/s40352-019-0086-9
  27. Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
  28. Wortzel HS, Binswanger IA, Anderson CA, Adler LE. Suicide among incarcerated veterans. J Am Acad Psychiatry Law. 2009;37(1):82-91.
  29. Desai A, Holliday R, Borges LM, et al. Facilitating successful reentry among justice-involved veterans: the role of veteran and offender identity. J Psychiatr Pract. 2021;27(1):52-60. doi:10.1097/PRA.0000000000000520
  30. Asencio EK, Burke PJ. Does incarceration change the criminal identity? A synthesis of labeling and identity theory perspectives on identity change. Sociol Perspect. 2011;54(2):163-182. doi:10.1525/sop.2011.54.2.163
  31. Borges LM, Desai A, Barnes SM, Johnson JPS. The role of social determinants of health in moral injury: implications and future directions. Curr Treat Options Psychiatry. 2022;9(3):202-214. doi:10.1007/s40501-022-00272-4
  32. Houle SA, Ein N, Gervasio J, et al. Measuring moral distress and moral injury: a systematic review and content analysis of existing scales. Clin Psychol Rev. 2024;108:102377. doi:10.1016/j.cpr.2023.102377
  33. Nash WP, Marino Carper TL, Mills MA, Au T, Goldsmith A, Litz BT. Psychometric evaluation of the moral injury events scale. Mil Med. 2013;178(6):646-652. doi:10.7205/MILMED-D-13-00017
  34. Zerach G, Ben-Yehuda A, Levi-Belz Y. Prospective associations between psychological factors, potentially morally injurious events, and psychiatric symptoms among Israeli combatants: the roles of ethical leadership and ethical preparation. Psychol Trauma. 2023;15(8):1367-1377. doi:10.1037/tra0001466
  35. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. American Psychiatric Association; 2013.
  36. Weathers FW, Litz BT, Keane TM, Palmeri PA, Marx BP. The PTSD Checklist for DSM-5 (PCL-5). National Center for PTSD. Accessed March 4, 2025. www.ptsd.va.gov
  37. Bovin MJ, Marx BP, Weathers FW, et al. Psychometric properties of the PTSD checklist for diagnostic and statistical manual of mental disorders-fifth edition (PCL-5) in veterans. Psychol Assess. 2016;28(11):1379-1391. doi:10.1037/pas0000254
  38. Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The osttraumatic stress disorder checklist for DSM-5 (PCL- 5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
  39. Kroenke K, Spi tzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  40. Brown TA. Confirmatory Factor Analysis for Applied Research. 2nd ed. Guilford Press; 2015.
  41. Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141-151. doi:10.1177/001316446002000116
  42. Schorr Y, Stein NR, Maguen S, Barnes JB, Bosch J, Litz BT. Sources of moral injury among war veterans: a qualitative evaluation. J Clin Psychol. 2018;74(12):2203-2218. doi:10.1002/jclp.22660
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aVA North Texas Health Care System, Dallas
bUniversity of Texas Southwestern Medical Center, Dallas
cSan Francisco Veterans Affairs Health Care System, California
dUniversity of California San Francisco School of Medicine
eCenter for Data to Discovery and Delivery Innovation, San Francisco, California
fVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
gVeterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center for Suicide Prevention, Aurora, Colorado
hUniversity of Colorado Anschutz Medical Campus, Aurora

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: James LePage (james.lepage@va.gov)

Fed Pract. 2025;42(suppl 1):e05073. Published online April 15. doi:10.12788/fp.0573

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aVA North Texas Health Care System, Dallas
bUniversity of Texas Southwestern Medical Center, Dallas
cSan Francisco Veterans Affairs Health Care System, California
dUniversity of California San Francisco School of Medicine
eCenter for Data to Discovery and Delivery Innovation, San Francisco, California
fVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
gVeterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center for Suicide Prevention, Aurora, Colorado
hUniversity of Colorado Anschutz Medical Campus, Aurora

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: James LePage (james.lepage@va.gov)

Fed Pract. 2025;42(suppl 1):e05073. Published online April 15. doi:10.12788/fp.0573

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aVA North Texas Health Care System, Dallas
bUniversity of Texas Southwestern Medical Center, Dallas
cSan Francisco Veterans Affairs Health Care System, California
dUniversity of California San Francisco School of Medicine
eCenter for Data to Discovery and Delivery Innovation, San Francisco, California
fVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
gVeterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center for Suicide Prevention, Aurora, Colorado
hUniversity of Colorado Anschutz Medical Campus, Aurora

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: James LePage (james.lepage@va.gov)

Fed Pract. 2025;42(suppl 1):e05073. Published online April 15. doi:10.12788/fp.0573

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Following exposure to potentially morally injurious events (PMIEs), some individuals may experience moral injury, which represents negative psychological, social, behavioral, and occasionally spiritual impacts.1 The consequences of PMIE exposure and moral injury are well documented. Individuals may begin to question the goodness and trustworthiness of oneself, others, or the world.1 Examples of other sequelae include guilt, demoralization, spiritual pain, loss of trust in the self or others, and difficulties with forgiveness.2-6 In addition, prior studies have found that moral injury is associated with an increased risk of suicidal thoughts and behaviors, posttraumatic stress disorder (PTSD) symptoms, spiritual distress, and interpersonal difficulties.7-11

Moral injury was first conceptualized in relation to combat trauma. However in recent years it has been examined in other groups such as health care practitioners, educators, refugees, and law enforcement personnel.12-17 Furthermore, there has been a recent call for the study of moral injury in other understudied groups. One such group is legal-involved individuals, defined as those who are currently involved or previously involved in the criminal justice system (ie, arrests, incarceration, parole, and probation).1,18-22

Many veterans are also involved with the legal system. Specifically, veterans currently comprise about 8% of the incarcerated US population, with an estimated > 180,000 veterans in prisons or jails and even more on parole or probation.23,24 Legal-involved veterans may be at heightened risk for homelessness, suicide, unemployment, and high prevalence rates of psychiatric diagnoses.25-28

Limited research has explored exposure to PMIEs as part of the legal process and the resulting expression of moral injury. The circumstances leading to incarceration, interactions with the US legal system, the environment of prison itself, and the subsequent challenges faced by legal-involved individuals after release all provide ample opportunity for PMIEs to occur.18 For example, engaging in a criminal act may represent a PMIE, particularly in violent offenses that involve harm to another individual. Moreover, the process of being convicted and charged with an offense may serve as a powerful reminder of the PMIE and tie this event to the individual’s identity and future. Furthermore, the physical and social environment of prison itself (eg, being surrounded by other offenders, witnessing the perpetration of violence, participating in violence for survival) presents a myriad of opportunities for PMIEs to occur.18

The consequences of PMIEs in the context of legal involvement may also have bearing on a touchstone of moral injury: changes in one’s schema of the self and world.4 At a societal level, legal-involved individuals are, by definition, deemed “guilty” and held culpable for their offense, which may reinforce a negative change in one’s view of self and the world.29 In line with identity theory, external negative appraisals about legal-involved individuals (eg, they are a danger to society, they cannot be trusted to do the right thing) may influence their self-perception.30 Furthermore, the affective characteristics often found in the context of moral injury (eg, guilt, shame, anger, contempt) may be exacerbated by legal involvement.29 Personal feelings of guilt and shame may be reinforced by receiving a verdict and sentence, as well as the negative perceptions of individuals around them (eg, disapproval from prior sources of social support). Additionally, feelings of betrayal and distrust towards the legal system may arise.

In sum, legal-involved veterans incur increased risk of moral injury due to the potential for exposure to PMIEs across multiple time points (eg, prior to military service, during military service, during arrest/sentencing, during imprisonment, and postincarceration). The stigma that accompanies legal involvement may limit access to treatment or a willingness to seek treatment for distress related to moral injury.29 Additionally, repeated exposure to PMIEs and resulting moral injury may compound over time, potentially exacerbating psychosocial functioning and increasing the risk for psychosocial stressors (eg, homelessness, unemployment) and mental health disorders (eg, depression, substance misuse).31

Although numerous measures of moral injury have been developed, most require that respondents consider a specific context (eg, military experiences).32 Therefore, study of legal-related moral injury requires adaptation of existing instruments to the legal context. The original and most commonly used scale of moral injury is the Moral Injury Events Scale (MIES).33 The MIES scales was originally developed to measure moral injury in military-related contexts but has since been adapted as a measure of exposure to context-specific PMIEs.34

Unfortunately, there are no validated measures for assessing legal-related moral injury. Such a gap in understanding is problematic, as it may impact measurement of the prevalence of PMIEs in both clinical and research settings for this at-risk population. The goal of this study was to conduct a psychometric evaluation of an adapted version of the MIES for legal-involved persons (MIES-LIP).

METHODS

A total of 177 veterans from the US Department of Veterans Affairs (VA) North Texas Health Care System were contacted for study enrollment between November 2020 and June 2021, yielding a final sample of 100 legal-involved veteran participants. Adults aged ≥ 18 years who were US military veterans and had ≥ 1 prior felony conviction resulting in incarceration were included. Participants were excluded if they had symptoms of psychosis that would preclude meaningful participation.

The study collected data on participants’ demographic and clinical characteristics using a semistructured survey instrument. Each participant completed an instructor-led questionnaire in a session that lasted about 1.5 hours. Participants who completed the visit in person received a $50 cash voucher for their time. Participants who were unable to meet with the study coordinator in person were able to complete the visit via telephone and received a $25 digital gift card. Of the total 100 participants, 79 participants completed the interview in person, and 21 completed by telephone. No significant differences were found in assessment measures between administration methods. Written informed consent was obtained during all in-person visits. For those completing via telephone, a waiver of written informed consent was obtained. This study was approved by the VA North Texas Health Care System’s Institutional Review Board.

Measures

The Moral Injury Events Scale (MIES) is a 9-item self-report measure that assesses exposure to PMIEs.33 Respondents rate their agreement with each item on a 6-point Likert scale (strongly disagree to strongly agree), with higher scores indicating greater moral injury. The MIES has a 2-factor structure: Factor 1 has 6 items on perceived transgressions and Factor 2 has 3 items on perceived betrayals.33

Creation of Legal-Involved Moral Injury Measure. To create the MIES-LIP, items and instructions from the MIES were modified to address moral injury in the context of legal involvement.33 Adaptations were finalized following consultation and approval by the authors of the original measure. Specifically, the instructions were changed to: “Please respond to these items based specifically in the context of your involvement with the legal system.” The instructions clarified that legal involvement could include experiences related to committing an offense, legal proceedings and sentencing, incarceration, or transitioning out of the legal system. This differs from the original measure, which focused on military experiences, with instructions stating: “Please respond to these items based specifically in the context of your military service (ie, events and experiences during enlistment, deployment, combat, etc).”

Other measures. The study collected data on demographic characteristics including sex, race and ethnicity, marital status, military service, combat experience, and legal involvement. PTSD symptom severity, based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), was assessed using the PTSD Checklist for DSM-5 (PCL-5).35,36 The PCL-5 is a 20-item self-report measure in which item scores are summed to create a total score. The PCL-5 has demonstrated strong psychometric properties, including good internal consistency, test-retest reliability convergent validity, and discriminant validity.37,38

Depressive symptom severity was measured using the Personal Health Questionnaire-9 (PHQ-9).39 The PHQ-9 is a 9-item self-report measure where item scores summed to create a total score. The PHQ-9 has demonstrated strong psychometric properties, including internal consistency and test-retest reliability.39

STATISTICAL METHODS

Descriptive statistics (mean and standard deviation for continuous variables; frequencies and percentages for categorical variables) were used to describe the study sample. Factor analysis was conducted to evaluate the psychometric properties of the MIES-LIP. Confirmatory factor analysis (CFA) was used to determine whether the MEIS-LIP had a similar factor structure to the MIES.40 Criteria for fit indices used for CFA include the Comparative Fit Index (CFI; values of > 0.95 suggest good fit), Tucker-Lewis index (TLI; values of > 0.95 suggest a good fit), root mean square error of approximation (RMSEA; values of ≥ 0.06 suggest good fit), and standardized root mean square residual (SRMR; values of ≥ 0.08 suggest good fit). With insufficient fit, subsequent exploratory factor analysis was conducted using maximum likelihood estimation with an Oblimin rotation. The Kaiser rule and a scree plot were considered when defining the factor structure. Reliability was evaluated using the McDonald omega coefficient test. Convergent validity was assessed through the association between adapted measures and other clinical measures (ie, PCL-5, PHQ-9). In addition, associations between the PCL-5 and PHQ-9 were examined as they related to the MIES and MIES-LIP.

RESULTS

Table 1 describes demographic characteristics of the study sample. Rates of potentially morally injurious experiences and the expression of moral injury in the legal context are presented in Table 2. Witnessing PMIEs while in the legal system was nearly ubiquitous, with > 90% of the sample endorsing this experience. More than half of the sample also endorsed engaging in morally injurious behavior by commission or omission, as well as experiencing betrayal while involved with the legal system.

0425FED-MH-MORAL_T10425FED-MH-MORAL_T2
Factor Analysis

Confirmatory factor analysis (CFA) was utilized to test the factor structure of the adapted MIES-LIP in our sample compared to the published factor structures of the MIES.33 Results did not support the established factor structure. Analysis yielded unacceptable CFI (0.79), TLI (0.70), SRMR (0.14), and RMSEA (0.21). The unsatisfactory results of CFA warranted follow-up exploratory factor analysis (EFA) to examine the factor structure of the moral injury scales in this sample.

EFA of MIES-LIP

The factor structure of the MIES-LIP was examined using EFA. The factorability of the data was examined using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value = 0.75) and Bartlett Test of Sphericity (X2 = 525.41; P < .001), both of which suggested that the data were appropriate for factor analysis. The number of factors to retain was selected based on the Kaiser criterion.41 After extraction, an Oblimin rotation was applied, given that we expected factors to be correlated. A 2-factor solution was found, explaining 65.76% of the common variance. All 9 items were retained as they had factor loadings > 0.30. Factor 1, comprised self-directed moral injury questions (3-6). Factor 2 comprised other directed moral injury questions (1, 2, 7-9) (Table 3). The factor correlation coefficient between Factor 1 and Factor 2 was 0.34, which supports utilizing an oblique rotation.

0425FED-MH-MORAL_T3

Reliability. We examined the reliability of the adapted MIES-LIP using measures of internal consistency, with both MIES-LIP factors demonstrating good reliability. The internal consistency of both factors of the MIES-LIP were found to be good (self-directed moral injury: Ω = 0.89; other-directed moral injury: Ω = 0.83).

Convergent Validity

Association between moral injury scales. A significant, moderate correlation was observed between all subscales of the MIES and MIES-LIP. Specifically, the self-directed moral injury factor of the MIES-LIP was associated with both the perceived transgressions (r = 0.41, P < .001) and the MIES perceived betrayals factors (r = 0.25, P < .05). Similarly, the other-directed moral injury factor of the MIES-LIP was associated with both the MIES perceived transgressions (r = 0.45, P < .001) and the MIES perceived betrayals factors (r = 0.45, P < .001).

Association with PTSD symptoms. All subscales of both the MIES and MIES-LIP were associated with PTSD symptom severity. The MIES perceived transgressions factor (r = 0.43, P < .001) and the perceived betrayals factor of the MIES (r = 0.39, P < .001) were moderately associated with the PCL-5. Mirroring this, the “self-directed moral injury” factor of the MIESLIP (r = 0.44, P < .001) and the “other-directed moral injury” factor of the MIES-LIP (r = 0.42, P < .001) were also positively associated with PCL-5.

Association with depression symptoms. All subscales of the MIES and MIES-LIP were also associated with depressive symptoms. The MIES perceived transgressions factor (r = 0.27, P < .01) and the MIES perceived betrayals factor (r = 0.23, P < .05) had a small association with the PHQ-9. In addition, the self-directed moral injury factor of the MIES-LIP (r = 0.40, P < .001) and the other-directed moral injury factor of the MIES-LIP (r = 0.31, P < .01) had small to moderate associations with the PCL-5.

DISCUSSION

Potentially morally injurious events appear to be a salient factor affecting legal-involved veterans. Among our sample, the vast majority of legal-involved veterans endorsed experiencing both legal- and military-related PMIEs. Witnessing or participating in a legal-related PMIE appears to be widespread among those who have experienced incarceration. The MIES-LIP yielded a 2-factor structure: self-directed moral injury and other-directed moral injury, in the evaluated population. The MIES-LIP showed similar psychometric performance to the MIES in our sample. Specifically, the MIES-LIP had good reliability and adequate convergent validity. While CFA did not confirm the anticipated factor structure of the MIES-LIP within our sample, EFA showed similarities in factor structure between the original and adapted measures. While further research and validation are needed, preliminary results show promise of the MIES-LIP in assessing legal-related moral injury.

Originally, the MIES was found to have a 2-factor structure, defined by perceived transgressions and perceived betrayals.33 However, additional research has identified a 3-factor structure, where the betrayal factor is maintained, and the transgressions factor is divided into transgressions by others and by self.8 The factor structure of the MIES-LIP was more closely related to the factor structure, with transgressions by others and betrayal mapped onto the same factor (ie, other-directed moral injury).8 While further research is needed, it is possible that the nature of morally injurious events experienced in legal contexts are experienced more in terms of self vs other, compared to morally injurious events experienced by veterans or active-duty service members.

Accurately identifying the types of moral injury experienced in a legal context may be important for determining the differences in drivers of legal-related moral injury compared to military-related moral injury. For example, self-directed moral injury in legal contexts may include a variety of actions the individual initiated that led to conviction and incarceration (eg, a criminal offense), as well as behaviors performed or witnessed while incarcerated (eg, engaging in violence). Inconsistent with military populations where other-directed moral injury clusters with self-directed moral injury, other-directed moral injury clustered with betrayal in legal contexts in our sample. This discrepancy may result from differences in identification with the military vs legal system. When veterans witness fellow service members engaging in PMIEs (eg, physical violence towards civilians in a military setting), this may be similar to self-directed moral injury due to the veteran’s identification with the same military system as the perpetrator.42 When legal-involved veterans witness other incarcerated individuals engaging in PMIEs (eg, physical violence toward other inmates), this may be experienced as similar to betrayal due to lack of personal identification with the criminal-legal system. Additional research is needed to better understand how self- and other-related moral injury are associated with betrayal in legal contexts.

Another potential driver of legal-related moral injury may be culpability. In order for moral injury to occur, an individual must perceive that something has taken place that deeply violated their sense of right and wrong.1 In terms of criminal offenses or even engaging in violent behavior while incarcerated, the potential for moral injury may differ based on whether an individual views themselves as culpable for the act(s).29 This may further distinguish between self-directed and other-directed moral injury in legal contexts. In situations where the individual views themselves as culpable, self-directed moral injury may be higher. In situations where the individual does not view themselves as culpable, other-directed moral injury may be higher based on the perception that the legal system is unfairly punishing them. Further research is needed to clarify how an individual’s view of their culpability relates to moral injury, as well as to elucidate which aspects of military service and legal involvement are most closely associated with moral injury among legal-involved veterans.

While this study treated legal-related and military-related moral injury as distinct, it is possible moral injury may have a cumulative effect over time with individuals experiencing morally injurious events across different contexts (eg, military, legal involvement). This, in turn, may compound risk for moral injury. These cumulative experiences may result in increased negative outcomes such as exacerbated psychiatric symptoms, substance misuse, and elevated suicide risk. Future studies should examine differences between groups who have experienced moral injury in differing contexts, as well as those with multiple sources of moral injury.

Limitations

The sample for this study included only veterans. The number of veterans incarcerated is large and the focus on veterans also allowed for a more robust comparison of moral injury related to the legal system and the more traditional military-related moral injury. However, the generalizability of the findings to nonveterans cannot be assured. The study used a relatively small sample (N = 100), which was overwhelmingly male. Although the PCL-5 was utilized to examine traumatic stress symptoms, this measure was not anchored to a specific criterion A trauma nor was it anchored specifically to a morally injurious experience. For all participants, their most recent military service preceded their most recent legal involvement which could affect the associations between variables. Furthermore, while all participants endorsed prior legal involvement, many participants reported no combat exposure.

CONCLUSIONS

This study resulted in several key findings. First, legal-involved veterans endorsed high rates of experiencing legal-related morally injurious experiences. Second, our adapted measure displayed adequate psychometric strength and suggests that legal-related moral injury is a salient and distinct phenomenon affecting legal-involved veterans. These items may not capture all the nuances of legal-related moral injury. Qualitative interviews with legal-involved persons may help identify relevant areas of legal-related moral injury not reflected in the current instrument. The MIES-LIP represents a practical measure that may help clinicians identify and address legal-related moral injury when working with legal-involved veterans. Given the high prevalence of PMIEs among legal-involved veterans, further examination of whether current interventions for moral injury and novel treatments being developed are effective for this population is needed.

Following exposure to potentially morally injurious events (PMIEs), some individuals may experience moral injury, which represents negative psychological, social, behavioral, and occasionally spiritual impacts.1 The consequences of PMIE exposure and moral injury are well documented. Individuals may begin to question the goodness and trustworthiness of oneself, others, or the world.1 Examples of other sequelae include guilt, demoralization, spiritual pain, loss of trust in the self or others, and difficulties with forgiveness.2-6 In addition, prior studies have found that moral injury is associated with an increased risk of suicidal thoughts and behaviors, posttraumatic stress disorder (PTSD) symptoms, spiritual distress, and interpersonal difficulties.7-11

Moral injury was first conceptualized in relation to combat trauma. However in recent years it has been examined in other groups such as health care practitioners, educators, refugees, and law enforcement personnel.12-17 Furthermore, there has been a recent call for the study of moral injury in other understudied groups. One such group is legal-involved individuals, defined as those who are currently involved or previously involved in the criminal justice system (ie, arrests, incarceration, parole, and probation).1,18-22

Many veterans are also involved with the legal system. Specifically, veterans currently comprise about 8% of the incarcerated US population, with an estimated > 180,000 veterans in prisons or jails and even more on parole or probation.23,24 Legal-involved veterans may be at heightened risk for homelessness, suicide, unemployment, and high prevalence rates of psychiatric diagnoses.25-28

Limited research has explored exposure to PMIEs as part of the legal process and the resulting expression of moral injury. The circumstances leading to incarceration, interactions with the US legal system, the environment of prison itself, and the subsequent challenges faced by legal-involved individuals after release all provide ample opportunity for PMIEs to occur.18 For example, engaging in a criminal act may represent a PMIE, particularly in violent offenses that involve harm to another individual. Moreover, the process of being convicted and charged with an offense may serve as a powerful reminder of the PMIE and tie this event to the individual’s identity and future. Furthermore, the physical and social environment of prison itself (eg, being surrounded by other offenders, witnessing the perpetration of violence, participating in violence for survival) presents a myriad of opportunities for PMIEs to occur.18

The consequences of PMIEs in the context of legal involvement may also have bearing on a touchstone of moral injury: changes in one’s schema of the self and world.4 At a societal level, legal-involved individuals are, by definition, deemed “guilty” and held culpable for their offense, which may reinforce a negative change in one’s view of self and the world.29 In line with identity theory, external negative appraisals about legal-involved individuals (eg, they are a danger to society, they cannot be trusted to do the right thing) may influence their self-perception.30 Furthermore, the affective characteristics often found in the context of moral injury (eg, guilt, shame, anger, contempt) may be exacerbated by legal involvement.29 Personal feelings of guilt and shame may be reinforced by receiving a verdict and sentence, as well as the negative perceptions of individuals around them (eg, disapproval from prior sources of social support). Additionally, feelings of betrayal and distrust towards the legal system may arise.

In sum, legal-involved veterans incur increased risk of moral injury due to the potential for exposure to PMIEs across multiple time points (eg, prior to military service, during military service, during arrest/sentencing, during imprisonment, and postincarceration). The stigma that accompanies legal involvement may limit access to treatment or a willingness to seek treatment for distress related to moral injury.29 Additionally, repeated exposure to PMIEs and resulting moral injury may compound over time, potentially exacerbating psychosocial functioning and increasing the risk for psychosocial stressors (eg, homelessness, unemployment) and mental health disorders (eg, depression, substance misuse).31

Although numerous measures of moral injury have been developed, most require that respondents consider a specific context (eg, military experiences).32 Therefore, study of legal-related moral injury requires adaptation of existing instruments to the legal context. The original and most commonly used scale of moral injury is the Moral Injury Events Scale (MIES).33 The MIES scales was originally developed to measure moral injury in military-related contexts but has since been adapted as a measure of exposure to context-specific PMIEs.34

Unfortunately, there are no validated measures for assessing legal-related moral injury. Such a gap in understanding is problematic, as it may impact measurement of the prevalence of PMIEs in both clinical and research settings for this at-risk population. The goal of this study was to conduct a psychometric evaluation of an adapted version of the MIES for legal-involved persons (MIES-LIP).

METHODS

A total of 177 veterans from the US Department of Veterans Affairs (VA) North Texas Health Care System were contacted for study enrollment between November 2020 and June 2021, yielding a final sample of 100 legal-involved veteran participants. Adults aged ≥ 18 years who were US military veterans and had ≥ 1 prior felony conviction resulting in incarceration were included. Participants were excluded if they had symptoms of psychosis that would preclude meaningful participation.

The study collected data on participants’ demographic and clinical characteristics using a semistructured survey instrument. Each participant completed an instructor-led questionnaire in a session that lasted about 1.5 hours. Participants who completed the visit in person received a $50 cash voucher for their time. Participants who were unable to meet with the study coordinator in person were able to complete the visit via telephone and received a $25 digital gift card. Of the total 100 participants, 79 participants completed the interview in person, and 21 completed by telephone. No significant differences were found in assessment measures between administration methods. Written informed consent was obtained during all in-person visits. For those completing via telephone, a waiver of written informed consent was obtained. This study was approved by the VA North Texas Health Care System’s Institutional Review Board.

Measures

The Moral Injury Events Scale (MIES) is a 9-item self-report measure that assesses exposure to PMIEs.33 Respondents rate their agreement with each item on a 6-point Likert scale (strongly disagree to strongly agree), with higher scores indicating greater moral injury. The MIES has a 2-factor structure: Factor 1 has 6 items on perceived transgressions and Factor 2 has 3 items on perceived betrayals.33

Creation of Legal-Involved Moral Injury Measure. To create the MIES-LIP, items and instructions from the MIES were modified to address moral injury in the context of legal involvement.33 Adaptations were finalized following consultation and approval by the authors of the original measure. Specifically, the instructions were changed to: “Please respond to these items based specifically in the context of your involvement with the legal system.” The instructions clarified that legal involvement could include experiences related to committing an offense, legal proceedings and sentencing, incarceration, or transitioning out of the legal system. This differs from the original measure, which focused on military experiences, with instructions stating: “Please respond to these items based specifically in the context of your military service (ie, events and experiences during enlistment, deployment, combat, etc).”

Other measures. The study collected data on demographic characteristics including sex, race and ethnicity, marital status, military service, combat experience, and legal involvement. PTSD symptom severity, based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), was assessed using the PTSD Checklist for DSM-5 (PCL-5).35,36 The PCL-5 is a 20-item self-report measure in which item scores are summed to create a total score. The PCL-5 has demonstrated strong psychometric properties, including good internal consistency, test-retest reliability convergent validity, and discriminant validity.37,38

Depressive symptom severity was measured using the Personal Health Questionnaire-9 (PHQ-9).39 The PHQ-9 is a 9-item self-report measure where item scores summed to create a total score. The PHQ-9 has demonstrated strong psychometric properties, including internal consistency and test-retest reliability.39

STATISTICAL METHODS

Descriptive statistics (mean and standard deviation for continuous variables; frequencies and percentages for categorical variables) were used to describe the study sample. Factor analysis was conducted to evaluate the psychometric properties of the MIES-LIP. Confirmatory factor analysis (CFA) was used to determine whether the MEIS-LIP had a similar factor structure to the MIES.40 Criteria for fit indices used for CFA include the Comparative Fit Index (CFI; values of > 0.95 suggest good fit), Tucker-Lewis index (TLI; values of > 0.95 suggest a good fit), root mean square error of approximation (RMSEA; values of ≥ 0.06 suggest good fit), and standardized root mean square residual (SRMR; values of ≥ 0.08 suggest good fit). With insufficient fit, subsequent exploratory factor analysis was conducted using maximum likelihood estimation with an Oblimin rotation. The Kaiser rule and a scree plot were considered when defining the factor structure. Reliability was evaluated using the McDonald omega coefficient test. Convergent validity was assessed through the association between adapted measures and other clinical measures (ie, PCL-5, PHQ-9). In addition, associations between the PCL-5 and PHQ-9 were examined as they related to the MIES and MIES-LIP.

RESULTS

Table 1 describes demographic characteristics of the study sample. Rates of potentially morally injurious experiences and the expression of moral injury in the legal context are presented in Table 2. Witnessing PMIEs while in the legal system was nearly ubiquitous, with > 90% of the sample endorsing this experience. More than half of the sample also endorsed engaging in morally injurious behavior by commission or omission, as well as experiencing betrayal while involved with the legal system.

0425FED-MH-MORAL_T10425FED-MH-MORAL_T2
Factor Analysis

Confirmatory factor analysis (CFA) was utilized to test the factor structure of the adapted MIES-LIP in our sample compared to the published factor structures of the MIES.33 Results did not support the established factor structure. Analysis yielded unacceptable CFI (0.79), TLI (0.70), SRMR (0.14), and RMSEA (0.21). The unsatisfactory results of CFA warranted follow-up exploratory factor analysis (EFA) to examine the factor structure of the moral injury scales in this sample.

EFA of MIES-LIP

The factor structure of the MIES-LIP was examined using EFA. The factorability of the data was examined using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value = 0.75) and Bartlett Test of Sphericity (X2 = 525.41; P < .001), both of which suggested that the data were appropriate for factor analysis. The number of factors to retain was selected based on the Kaiser criterion.41 After extraction, an Oblimin rotation was applied, given that we expected factors to be correlated. A 2-factor solution was found, explaining 65.76% of the common variance. All 9 items were retained as they had factor loadings > 0.30. Factor 1, comprised self-directed moral injury questions (3-6). Factor 2 comprised other directed moral injury questions (1, 2, 7-9) (Table 3). The factor correlation coefficient between Factor 1 and Factor 2 was 0.34, which supports utilizing an oblique rotation.

0425FED-MH-MORAL_T3

Reliability. We examined the reliability of the adapted MIES-LIP using measures of internal consistency, with both MIES-LIP factors demonstrating good reliability. The internal consistency of both factors of the MIES-LIP were found to be good (self-directed moral injury: Ω = 0.89; other-directed moral injury: Ω = 0.83).

Convergent Validity

Association between moral injury scales. A significant, moderate correlation was observed between all subscales of the MIES and MIES-LIP. Specifically, the self-directed moral injury factor of the MIES-LIP was associated with both the perceived transgressions (r = 0.41, P < .001) and the MIES perceived betrayals factors (r = 0.25, P < .05). Similarly, the other-directed moral injury factor of the MIES-LIP was associated with both the MIES perceived transgressions (r = 0.45, P < .001) and the MIES perceived betrayals factors (r = 0.45, P < .001).

Association with PTSD symptoms. All subscales of both the MIES and MIES-LIP were associated with PTSD symptom severity. The MIES perceived transgressions factor (r = 0.43, P < .001) and the perceived betrayals factor of the MIES (r = 0.39, P < .001) were moderately associated with the PCL-5. Mirroring this, the “self-directed moral injury” factor of the MIESLIP (r = 0.44, P < .001) and the “other-directed moral injury” factor of the MIES-LIP (r = 0.42, P < .001) were also positively associated with PCL-5.

Association with depression symptoms. All subscales of the MIES and MIES-LIP were also associated with depressive symptoms. The MIES perceived transgressions factor (r = 0.27, P < .01) and the MIES perceived betrayals factor (r = 0.23, P < .05) had a small association with the PHQ-9. In addition, the self-directed moral injury factor of the MIES-LIP (r = 0.40, P < .001) and the other-directed moral injury factor of the MIES-LIP (r = 0.31, P < .01) had small to moderate associations with the PCL-5.

DISCUSSION

Potentially morally injurious events appear to be a salient factor affecting legal-involved veterans. Among our sample, the vast majority of legal-involved veterans endorsed experiencing both legal- and military-related PMIEs. Witnessing or participating in a legal-related PMIE appears to be widespread among those who have experienced incarceration. The MIES-LIP yielded a 2-factor structure: self-directed moral injury and other-directed moral injury, in the evaluated population. The MIES-LIP showed similar psychometric performance to the MIES in our sample. Specifically, the MIES-LIP had good reliability and adequate convergent validity. While CFA did not confirm the anticipated factor structure of the MIES-LIP within our sample, EFA showed similarities in factor structure between the original and adapted measures. While further research and validation are needed, preliminary results show promise of the MIES-LIP in assessing legal-related moral injury.

Originally, the MIES was found to have a 2-factor structure, defined by perceived transgressions and perceived betrayals.33 However, additional research has identified a 3-factor structure, where the betrayal factor is maintained, and the transgressions factor is divided into transgressions by others and by self.8 The factor structure of the MIES-LIP was more closely related to the factor structure, with transgressions by others and betrayal mapped onto the same factor (ie, other-directed moral injury).8 While further research is needed, it is possible that the nature of morally injurious events experienced in legal contexts are experienced more in terms of self vs other, compared to morally injurious events experienced by veterans or active-duty service members.

Accurately identifying the types of moral injury experienced in a legal context may be important for determining the differences in drivers of legal-related moral injury compared to military-related moral injury. For example, self-directed moral injury in legal contexts may include a variety of actions the individual initiated that led to conviction and incarceration (eg, a criminal offense), as well as behaviors performed or witnessed while incarcerated (eg, engaging in violence). Inconsistent with military populations where other-directed moral injury clusters with self-directed moral injury, other-directed moral injury clustered with betrayal in legal contexts in our sample. This discrepancy may result from differences in identification with the military vs legal system. When veterans witness fellow service members engaging in PMIEs (eg, physical violence towards civilians in a military setting), this may be similar to self-directed moral injury due to the veteran’s identification with the same military system as the perpetrator.42 When legal-involved veterans witness other incarcerated individuals engaging in PMIEs (eg, physical violence toward other inmates), this may be experienced as similar to betrayal due to lack of personal identification with the criminal-legal system. Additional research is needed to better understand how self- and other-related moral injury are associated with betrayal in legal contexts.

Another potential driver of legal-related moral injury may be culpability. In order for moral injury to occur, an individual must perceive that something has taken place that deeply violated their sense of right and wrong.1 In terms of criminal offenses or even engaging in violent behavior while incarcerated, the potential for moral injury may differ based on whether an individual views themselves as culpable for the act(s).29 This may further distinguish between self-directed and other-directed moral injury in legal contexts. In situations where the individual views themselves as culpable, self-directed moral injury may be higher. In situations where the individual does not view themselves as culpable, other-directed moral injury may be higher based on the perception that the legal system is unfairly punishing them. Further research is needed to clarify how an individual’s view of their culpability relates to moral injury, as well as to elucidate which aspects of military service and legal involvement are most closely associated with moral injury among legal-involved veterans.

While this study treated legal-related and military-related moral injury as distinct, it is possible moral injury may have a cumulative effect over time with individuals experiencing morally injurious events across different contexts (eg, military, legal involvement). This, in turn, may compound risk for moral injury. These cumulative experiences may result in increased negative outcomes such as exacerbated psychiatric symptoms, substance misuse, and elevated suicide risk. Future studies should examine differences between groups who have experienced moral injury in differing contexts, as well as those with multiple sources of moral injury.

Limitations

The sample for this study included only veterans. The number of veterans incarcerated is large and the focus on veterans also allowed for a more robust comparison of moral injury related to the legal system and the more traditional military-related moral injury. However, the generalizability of the findings to nonveterans cannot be assured. The study used a relatively small sample (N = 100), which was overwhelmingly male. Although the PCL-5 was utilized to examine traumatic stress symptoms, this measure was not anchored to a specific criterion A trauma nor was it anchored specifically to a morally injurious experience. For all participants, their most recent military service preceded their most recent legal involvement which could affect the associations between variables. Furthermore, while all participants endorsed prior legal involvement, many participants reported no combat exposure.

CONCLUSIONS

This study resulted in several key findings. First, legal-involved veterans endorsed high rates of experiencing legal-related morally injurious experiences. Second, our adapted measure displayed adequate psychometric strength and suggests that legal-related moral injury is a salient and distinct phenomenon affecting legal-involved veterans. These items may not capture all the nuances of legal-related moral injury. Qualitative interviews with legal-involved persons may help identify relevant areas of legal-related moral injury not reflected in the current instrument. The MIES-LIP represents a practical measure that may help clinicians identify and address legal-related moral injury when working with legal-involved veterans. Given the high prevalence of PMIEs among legal-involved veterans, further examination of whether current interventions for moral injury and novel treatments being developed are effective for this population is needed.

References
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References
  1. Griffin BJ, Purcell N, Burkman K, et al. Moral injury: an integrative review. J Trauma Stress. 2019;32(3):350-362. doi:10.1002/jts.22362
  2. Currier JM, Holland JM, Malott J. Moral injury, meaning making, and mental health in returning veterans. J Clin Psychol. 2015;71(3):229-240. doi:10.1002/jclp.22134
  3. Jinkerson JD. Defining and assessing moral injury: a syndrome perspective. Traumatology. 2016;22(2):122-130. doi:10.1037/trm0000069
  4. Litz BT, Stein N, Delaney E, et al. Moral injury and moral repair in war veterans: a preliminary model and intervention strategy. Clin Psychol Rev. 2009;29(8):695-706. doi:10.1016/j.cpr.2009.07.003
  5. Maguen S, Litz B. Moral injury in veterans of war. PTSD Res Q. 2012;23(1):1-6. www.vva1071.org/uploads/3/4/4/6/34460116/moral_injury_in_veterans_of_war.pdf
  6. Drescher KD, Foy DW, Kelly C, Leshner A, Schutz K, Litz B. An exploration of the viability and usefulness of the construct of moral injury in war veterans. Traumatology. 2011;17(1):8-13. doi:10.1177/1534765610395615
  7. Wisco BE, Marx BP, May CL, et al. Moral injury in U.S. combat veterans: results from the national health and resilience in veterans study. Depress Anxiety. 2017; 34(4):340-347. doi:10.1002/da.22614
  8. Bryan CJ, Bryan AO, Anestis MD, et al. Measuring moral injury: psychometric properties of the moral injury events scale in two military samples. Assessment. 2016;23(5):557- 570. doi:10.1177/1073191115590855
  9. Currier JM, Smith PN, Kuhlman S. Assessing the unique role of religious coping in suicidal behavior among U.S. Iraq and Afghanistan veterans. Psychol Relig Spiritual. 2017;9(1):118-123. doi:10.1037/rel0000055
  10. Kopacz MS, Connery AL, Bishop TM, et al. Moral injury: a new challenge for complementary and alternative medicine. Complement Ther Med. 2016;24:29-33. doi:10.1016/j.ctim.2015.11.003
  11. Vargas AF, Hanson T, Kraus D, Drescher K, Foy D. Moral injury themes in combat veterans’ narrative responses from the national vietnam veterans’ readjustment study. Traumatology. 2013;19(3):243-250. doi:10.1177/1534765613476099
  12. Borges LM, Barnes SM, Farnsworth JK, Bahraini NH, Brenner LA. A commentary on moral injury among health care providers during the COVID-19 pandemic. Psychol Trauma. 2020;12(S1):S138-S140. doi:10.1037/tra0000698
  13. Borges LM, Holliday R, Barnes SM, et al. A longitudinal analysis of the role of potentially morally injurious events on COVID-19-related psychosocial functioning among healthcare providers. PLoS One. 2021;16(11):e0260033. doi:10.1371/journal.pone.0260033
  14. Currier JM, Holland JM, Rojas-Flores L, Herrera S, Foy D. Morally injurious experiences and meaning in Salvadorian teachers exposed to violence. Psychol Trauma. 2015;7(1):24-33. doi:10.1037/a0034092
  15. Nickerson A, Schnyder U, Bryant RA, Schick M, Mueller J, Morina N. Moral injury in traumatized refugees. Psychother Psychosom. 2015;84(2):122-123. doi:10.1159/000369353
  16. Papazoglou K, Chopko B. The role of moral suffering (moral distress and moral injury) in police compassion fatigue and PTSD: An unexplored topic. Front Psychol. 2017;8:1999. doi:10.3389/fpsyg.2017.01999
  17. Papazoglou K, Blumberg DM, Chiongbian VB, et al. The role of moral injury in PTSD among law enforcement officers: a brief report. Front Psychol. 2020;11:310. doi:10.3389/fpsyg.2020.00310
  18. Martin WB, Holliday R, LePage JP. Trauma and diversity: moral injury among justice involved veterans: an understudied clinical concern. Stresspoints. 2020;33(5).
  19. Currier JM, Drescher KD, Nieuwsma J. Future directions for addressing moral injury in clinical practice: concluding comments. In: Currier JM, Drescher KD, Nieuwsma J, eds. Addressing Moral Injury in Clinical Practice. American Psychological Association; 2021:261-271. doi:10.1037/0000204-015
  20. Alexander AR, Mendez L, Kerig PK. Moral injury as a transdiagnostic risk factor for mental health problems in detained youth. Crim Justice Behav. 2023;51(2):194-212. doi:10.1177/00938548231208203
  21. DeCaro JB, Straka K, Malek N, Zalta AK. Sentenced to shame: moral injury exposure in former lifers. Psychol Trauma. 2024; 15(5):722-730. doi:10.1037/tra0001400
  22. Orak U, Kelton K, Vaughn MG, Tsai J, Pietrzak RH. Homelessness and contact with the criminal legal system among U.S. combat veterans: an exploration of potential mediating factors. Crim Justice Behav. 2022;50(3):392-409. doi:10.1177/00938548221140352
  23. Bronson J, Carson EA, Noonan M. Veterans in Prison and Jail, 2011-12. US Department of Justice, Bureau of Justice Statistics; Published December 2015. Accessed March 4, 2025. https://bjs.ojp.gov/content/pub/pdf/vpj1112.pdf
  24. Maruschak LM, Bronson J, Alper M. Veterans in Prison: Survey of Prison Inmates, 2016. US Department of Justice, Bureau of Justice Statistics; March 2021. Accessed March 4, 2025. https://bjs.ojp.gov/redirect-legacy/content/pub/pdf/vpspi16st.pdf
  25. Blodgett JC, Avoundjian T, Finlay AK, et al. Prevalence of mental health disorders among justiceinvolved veterans. Epidemiol Rev. 2015;37:163-176. doi:10.1093/epirev/mxu003
  26. Finlay AK, Owens MD, Taylor E, et al. A scoping review of military veterans involved in the criminal justice system and their health and healthcare. Health Justice. 2019;7(1):6. doi:10.1186/s40352-019-0086-9
  27. Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
  28. Wortzel HS, Binswanger IA, Anderson CA, Adler LE. Suicide among incarcerated veterans. J Am Acad Psychiatry Law. 2009;37(1):82-91.
  29. Desai A, Holliday R, Borges LM, et al. Facilitating successful reentry among justice-involved veterans: the role of veteran and offender identity. J Psychiatr Pract. 2021;27(1):52-60. doi:10.1097/PRA.0000000000000520
  30. Asencio EK, Burke PJ. Does incarceration change the criminal identity? A synthesis of labeling and identity theory perspectives on identity change. Sociol Perspect. 2011;54(2):163-182. doi:10.1525/sop.2011.54.2.163
  31. Borges LM, Desai A, Barnes SM, Johnson JPS. The role of social determinants of health in moral injury: implications and future directions. Curr Treat Options Psychiatry. 2022;9(3):202-214. doi:10.1007/s40501-022-00272-4
  32. Houle SA, Ein N, Gervasio J, et al. Measuring moral distress and moral injury: a systematic review and content analysis of existing scales. Clin Psychol Rev. 2024;108:102377. doi:10.1016/j.cpr.2023.102377
  33. Nash WP, Marino Carper TL, Mills MA, Au T, Goldsmith A, Litz BT. Psychometric evaluation of the moral injury events scale. Mil Med. 2013;178(6):646-652. doi:10.7205/MILMED-D-13-00017
  34. Zerach G, Ben-Yehuda A, Levi-Belz Y. Prospective associations between psychological factors, potentially morally injurious events, and psychiatric symptoms among Israeli combatants: the roles of ethical leadership and ethical preparation. Psychol Trauma. 2023;15(8):1367-1377. doi:10.1037/tra0001466
  35. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. American Psychiatric Association; 2013.
  36. Weathers FW, Litz BT, Keane TM, Palmeri PA, Marx BP. The PTSD Checklist for DSM-5 (PCL-5). National Center for PTSD. Accessed March 4, 2025. www.ptsd.va.gov
  37. Bovin MJ, Marx BP, Weathers FW, et al. Psychometric properties of the PTSD checklist for diagnostic and statistical manual of mental disorders-fifth edition (PCL-5) in veterans. Psychol Assess. 2016;28(11):1379-1391. doi:10.1037/pas0000254
  38. Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The osttraumatic stress disorder checklist for DSM-5 (PCL- 5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
  39. Kroenke K, Spi tzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  40. Brown TA. Confirmatory Factor Analysis for Applied Research. 2nd ed. Guilford Press; 2015.
  41. Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141-151. doi:10.1177/001316446002000116
  42. Schorr Y, Stein NR, Maguen S, Barnes JB, Bosch J, Litz BT. Sources of moral injury among war veterans: a qualitative evaluation. J Clin Psychol. 2018;74(12):2203-2218. doi:10.1002/jclp.22660
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Leveraging Community Asset Mapping to Improve Suicide Prevention for Veterans

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Leveraging Community Asset Mapping to Improve Suicide Prevention for Veterans

Suicide prevention is the leading clinical priority for the US Department of Veterans Affairs (VA).1 An average of 18 veterans died by suicide each day in 2021.2 Numerous risk factors for veteran suicide have been identified, including mental health disorders, comorbidities, access to firearms, and potentially lethal medications.3-5 To better understand groups of patients at risk of suicide in medical settings, the authors have previously compared demographic and clinical risk factors between patients who died by suicide by using firearms or other means with matched patients who did not die by suicide (control group) to examine the impact of lack of social support, financial stress,6 legal problems,7 homelessness,8 and discrimination.9 The number of cooccurring risk factors a veteran experiences is associated with a greater likelihood of suicide attempts over time.10 In addition, some risk factors are social and environmental risk factors known as social determinants of health (SDoH), including financial stability and access to health care, food, housing, and education. 11 SDoH may influence health outcomes more broadly and are associated with greater risk of suicide.12,13

The VA offers programming to address suicide risk factors. However, not all veterans are eligible for VA care. Further, some veterans prefer to obtain non-VA services in their communities. Providing veterans with community resources that address risk factors, particularly SDoH, may be a worthwhile strategy for reducing suicide. Such resources have demonstrated success; for example, greater use of housing services was associated with a reduced risk for suicide-related mortality among unhoused veterans.12

The challenges that veterans experience can go beyond the scope of services the VA provides. For example, while the VA provides some services related to homelessness, justice involvement, and assistance with home loans, these services are often limited. Other services for veterans to address SDoH may require access to community resources, including food banks, employment assistance, respite and childcare services, and transportation assistance. Some veterans also may have experienced institutional betrayal, which could be a barrier to VA care and may motivate veterans to address their needs in the community.14 Veterans therefore may need a range of services beyond those within the VA. Leveraging community resources for veterans at risk for suicide is critical, as these resources may help to mitigate suicide risk.

An emerging emphasis of the VA is improving coordination with community partners to prevent veteran suicide. In 2019, the VA launched an improved Veterans Community Care Program, which implemented portions of the VA MISSION Act of 2018 to create additional connection to community care for VA-enrolled veterans. This includes assisting veterans in gaining access to specialty services not offered at a local VA medical center (VAMC), getting access to services sooner, and receiving care if they do not live near a VAMC.15 In addition, the COMPACT Act allows veterans in acute suicidal crisis to receive emergency health care through either VA or non-VA facilities at no cost.16 The VA National Strategy for Preventing Veteran Suicide 2018-2028 is a 10-year plan to reduce veteran suicide rates that includes initiatives to increase connections between VA and community agencies.17 A suicide prevention community toolkit is available online for health care professionals (HCPs) (and others, including employers) outside of the VA who may be unfamiliar with best practices for working with veterans at risk for suicide.18

The challenge, however, is that there is often a lack of “connectedness” between VA suicide prevention coordinators and community resources to address suicide risk factors and related social determinants of health. These services include, but are not limited to suicide prevention, mental health counseling (particularly no/low-cost services), unemployment resources, financial assistance and counseling, housing assistance, and identity-related supportive spaces. A major stumbling block in connecting resources with veterans (regardless of discharge status) who need them is there is no single, national organization with a comprehensive, community-based network that can serve in this intermediary role.

Community asset mapping (CAM), also known as asset mapping or environmental scanning, is a way to bridge the gap.19 CAM provides a method for identifying and aligning community resources relative to a specific need.20 CAM may be used to build community relationships in service of veteran suicide prevention. This process can help individuals learn about and make use of organizations and services within their communities. CAM also helps connect HCPs so they can network, exchange ideas, and collaborate with an eye toward increasing the availability of services and enhancing care coordination. CAM also allows community members (eg, leaders, organizations, individuals) to identify possible gaps in services that address suicide risk factors and solve these problems.

This article details CAM for suicide prevention, which can be utilized by the VA and community organizations alike. Within the VA, CAM can be used by HCPs and administrators, such as VA community engagement and partnership coordinators, to identify potential partnering organizations. For those who serve veterans outside of the VA, CAM can be used to connect at-risk individuals to resources that can enhance their care. This process can help increase the overall knowledge of, and access to, community resources.

COMMUNITY ASSET MAPPING

The University of California, Los Angeles Center for Health Policy Research provides 6 steps for the CAM process.21 These steps include: (1) defining the boundaries of people and places that comprise the community; (2) identifying people and organizations who share similar interests and goals; (3) determining the assets to include; (4) creating an inventory of all organizations’ assets; (5) creating an inventory of individuals’ assets; and (6) organizing the assets on a map. To address the needs of the veteran population, we’ve taken these 6 steps and adapted them to create a CAM for veterans at risk for suicide (Figure). The discussion that follows details how these steps can be implemented to identify community resources that address social determinants of health that may contribute to suicide risk. The goal is to prevent veteran suicide.

0425FED-MH-MAP_F1

Step 1: Define Community Reach. The first step is to identify the geographical boundaries of the community. This may include all veterans within a catchment area (eg, veterans within 60 miles of a VAMC). Defining the geographical parameters of the community will provide structure to the effort so that the resource list is as comprehensive as possible.

Steps 2 and 3: Identify Community Members with Shared Goals; Identify Assets. It is important to identify community members who share similar interests and goals, including people with specific knowledge and skills, organizations with particular goals, and community partners with a broad reach. To begin building a list of referrals, reach out to colleagues within the VA system who are familiar with community resources for those with suicide risk factors. The local VA Transition and Care Management (TCM) office is a resource that connects those transitioning from military to civilian sectors with needed resources, and thus may be a helpful resource while building a CAM. Additionally, each office has a transition patient advocate, who is trained to resolve care-related concerns and may be familiar with community resources.

VA HCPs that can assist include Community Engagement and Partnership Coordinators, Suicide Prevention Coordinators, Local Recovery Coordinators, and substance abuse counselors. In addition, VA patient services, patient safety, and public affairs office staff—as well as VA Homeless Programs—may be good resources. Every VA health care system has care coordinators focused on military sexual trauma, intimate partner violence, and lesbian, gay, bisexual, transgender, queer+ care. These care coordinators may be able to provide information on community resources that address social determinants of health (eg, discrimination, violence).

Reaching out to key community resources and asking for recommendations of other groups that provide assistance to veterans can also be productive. You can start by connecting with veterans service organizations (VSOs), Vet Centers, Veterans Experience Offices (VEO), and Community Veterans Engagement Boards (CVEBs). The VEO is an office designed around VA and community engagement efforts. This office utilizes the CVEBs to foster a 2-way communication feedback loop between veterans and local VA facilities regarding community engagement efforts and outreach.22 CVEBs are particularly valuable sources of information because veterans directly contribute to the conversation about community engagement by describing the difficulties and successes they’ve experienced. Veteran feedback about how a particular resource met their needs can inform which community services are prioritized for inclusion in the resource list. In addition, CVEBs may have a listing of local government, military, and/or community resources that provide services for veterans. Consider, too, organizations that are unrelated to an individual’s veteran status, but speak to their race/ethnicity, sexual orientation, gender identity, spirituality, socioeconomic status, or disability.

Step 4: Continue to Build Inventory. Use online searches to identify additional resources in the community that are known to have local relationships. These include state suicide prevention coordinators, mental health organizations, and other resources that address social determinants of health (eg, public health and human service organizations, faith-based organizations, collegial organizations). A list of links and search tips are available in the Table.

0425FED-MH-MAP_T1

Steps 5 and 6: Create Document; Organize and Disseminate Information. A spreadsheet can be used to document organization information (Appendix). It is critical to record: (1) the name of the organization or individual; (2) the local address and a point of contact with contact information; (3) services offered to veterans; (4) services specific to suicide prevention, or that address risk factors for suicide; and (5) whether the referral organization is partnered with the VA Community Care Network, which is comprised of contracted HCPs who contract with the VA to provide care to veterans.23

0425FED-MH-MAP_A1

Once a document is created, it can be disseminated through VA offices and among community partners who work with veterans at risk for suicide. It should also be stored in a centralized location such as a shared folder so that it can be continuously updated.

Regularly updating the list is vital so the resource list can continue to be helpful in addressing veterans’ needs and reducing suicide risk factors. Continued collaboration with those in the community can help ensure the resource list is up to date with all available services and pertinent contact information. It can also go far in strengthening collaborative bonds.

IMPLEMENTATION

To illustrate the use of CAM for veteran suicide prevention, we offer a case example of CAM conducted by the VA Patient Safety Center of Inquiry — Suicide Prevention Collaborative (VA PSCI-SPC) team, consisting of 4 team members. A veteran was included as a team member and assisted with the CAM process.

The VA PSCI-SPC sought to identify community services for veterans in Colorado who were not enrolled in VA health care and had risk factors for suicide. Next, the team reached out to colleagues and asked about community organizations that work with individuals at risk for suicide. VA PSCI-SPC outreach resulted in a list of assets that included resources to address mental health, legal concerns, employment, homelessness/housing, finances, religion, peer support, food insecurity, exercise, intimate partner violence, sexual and gender identity needs, and peer support. VSOs and CVEBs were also added to the list.

Next, the team continued to build on the inventory and identified state suicide prevention coordinators; health care systems; regional suicide prevention commissions; Colorado Department of Health and Human Services; program coordinators for Governor’s and Mayor’s Challenges to Prevent Suicide Among Service Members, Veterans, and their Families; veterans councils; universities (eg, counseling clinics, legal clinics); and foundations devoted to general and veteran-specific suicide prevention within the region.

All the identified resources were inventoried. Details were gathered about each of the organizations, including addresses, points of contact and phone numbers, descriptions of services offered for veterans, descriptions of suicide prevention services offered, whether or not organizations were not-for-profit, the mission of the organizations, and whether or not the organizations were under contract for VA Community Care. Finally, the resource spreadsheet was created and disseminated among stakeholders to be used to enhance veteran suicide care. Stakeholders included social workers, psychologists, and nurse practitioners working with veterans. The list was circulated to VA and community partners as needed.

The VA PSCI-SPC resource document was only 1 benefit of CAM. The asset mapping also resulted in the creation of a learning collaborative comprised of VA and community partners, designed to share knowledge of best practices in suicide prevention and create an established referral network for veterans at risk for suicide.24 Ultimately, the goal of the CAM and the creation of the learning collaborative was to better connect veterans to care in order to decrease suicide risk. A secondary benefit of this community connectedness is that the list of resources produced by CAM became a living document that was, and continues to be, updated as the network became aware of new resources and resources that were no longer available. The VA PSCI-SPC learning collaborative met quarterly to discuss implementation of suicide prevention best practices within their organization.

Data from the VA PSCI-SPC learning collaborative via CAM revealed that organizations felt more efficacious in implementing suicide prevention best practices, noticed increased connections and collaborations with community organizations with the goal of providing services to veterans, and resulted in staff training that improved services provided to veterans.24 This is supported by other findings of a literature review of suicide prevention interventions, which indicated that programs with an established community support network were more effective at reducing suicide rates.25 CAM therefore may be a process through which greater community connection and increased knowledge of resources may help prevent suicide among veterans.

It seems reasonable that the CAM processes used by the VA PSCI-SPC can be implemented within the regional Veterans Integrated Service Networks to identify assets in a specific geographical area to address challenges with social determinants of health and potentially decrease veteran suicide risk.

CONCLUSIONS

CAM can be used to identify and build relationships with community resources that address the stressors that place veterans at risk for suicide. Six proposed steps to CAM for veterans at risk for suicide include: defining community reach (the map); identifying community members and organizations with shared goals; identifying assets within the community; continuing to build inventory; creating a document; and organizing and disseminating the information (while continuing to update the resources).21

CAM can be used to connect veterans with resources to address needs related to adverse social determinants of health that may heighten their risk for suicide. For example, veterans facing legal challenges can connect with a legal clinic; those having difficulties paying bills can obtain financial assistance; those who need help completing their VA claims can connect with the Veterans Benefits Administration or VSOs to assist them with their claims; and those experiencing discrimination can connect with organizations where they may experience acceptance, safety, and support. Broad community support surrounding suicide risk factors can be critical for effective suicide prevention.25

CAM may also be helpful for HCPs and others involved in veteran health care. For example, community mapping can be utilized by newly hired community engagement and partnership coordinators as a tool for outlining resources available for veterans in their community and as a framework to continually update their resource network. CAM develops community awareness, integrates resources, and enhances service utilization, which may assist in veteran suicide prevention by increasing care coordination.17 Finally, mapping community resources can create awareness of the many resources available to help veterans, even before suicide becomes a consideration.

References
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  2. US Department of Veterans Affairs. 2023 national veteran suicide prevention annual report. November 2023. Accessed January 30, 2025. https://www.mentalhealth.va.gov/docs/data-sheets/2023/2023-National-Veteran-Suicide-Prevention-Annual-Report-FINAL-508.pdf
  3. DeBeer BB, Meyer EC, Kimbrel NA, Kittel JA, Gulliver SB, Morissette SB. Psychological inflexibility predicts of suicidal ideation over time in veterans of the conflicts in Iraq and Afghanistan. Suicide Life Threat Behav. 2018;48(6):627–641. doi:10.1111/sltb.12388
  4. Ilgen MA, Bohnert ASB, Ignacio RV, et al. Psychiatric diagnoses and risk of suicide in veterans. Arch Gen Psychiatry. 2010;67(11):1152–1158. doi:10.1001/archgenpsychiatry.2010.129
  5. Kimbrel NA, Meyer EC, DeBeer BB, Gulliver SB, Morissette SB. A 12-month prospective study of the effects of PTSD-depression comorbidity on suicidal behavior in Iraq/ Afghanistan-era veterans. Psychiatry Res. 2016;243:97–99. doi:10.1016/j.psychres.2016.06.011
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  7. Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
  8. Holliday R, Liu S, Brenner LA, et al. Preventing suicide among homeless veterans: a consensus statement by the Veterans Affairs suicide prevention among veterans experiencing homelessness workgroup. Med Care. 2021;59(Suppl 2):S103- S105. doi:10.1097/MLR.0000000000001399
  9. Carter SP, Allred KM, Tucker RP, Simpson TL, Shipherd JC, Lehavot K. Discrimination and suicidal ideation among transgender veterans: The role of social supsupport and connection. LGBT Health. 2019;6(2):43-50. doi:10.1089/lgbt.2018.0239
  10. Lee DJ, Kearns JC, Wisco BE, et al. A longitudinal study of risk factors for suicide attempts among Operation Enduring Freedom and Operation Iraqi Freedom veterans. Depress Anxiety. 2018;35(7): 609-618. doi:10.1002/da.22736
  11. Center for Disease Control and Prevention. Social determinants of health (SDOH). Accessed January 30, 2025. https://odphp.health.gov/healthypeople/priority-areas/social-determinants-health
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  13. Llamocca EN, Yeh HH, Miller-Matero LR, et al. Association between adverse social determinants of health and suicide death. Med Care. 2023;61(11):744-749. doi:10.1097/MLR.0000000000001918
  14. Monteith LL, Holliday R, Schneider AL, et al. Institutional betrayal and help-seeking among women survivors of military sexual trauma. Psychol Trauma. 2021;13(7):814-823. doi:10.1037/tra0001027
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Bryann DeBeer, PhDa,b; Margaret Talbot, PhDc; Patricia Russell, PhDa,b; Lindsey L. Monteith, PhDa,b; Joseph Mignogna, PhDa,b; Nathaniel Mohatt, PhDd,e; Elisa Borah, PhDf,g; Edgar Villarreal, PhDh; Craig Bryan, PsyDi; Alan Peterson, PhDj,k,l; Meredith Mealer, PhDa,b; Juliana Scheihing, BAa; Kathryn Bongiovanni, LCSWm; Claire Hoffmire, PhDa,b; Jenna Heise, MAn,o; Sylvia Baack, PhD, RNp; Kimberly Weinberg, LCSW-Sq; Marcy Polk, DNP, RN, NEA-BCa; Justin Benzer, PhDg,r

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aVeterans Affairs Eastern Colorado Health Care System, Aurora; bUniversity of Colorado Anschutz Medical Campus, Aurora; cVeterans Affairs Boston Healthcare System, Massachusetts; dYale School of Medicine, New Haven, Connecticut; eBooz Allen Hamilton, Arlington, Virginia; fSteve Hicks School of Social Work, University of Texas at Austin; gDell Medical School, University of Texas at Austin; hVeterans Affairs Central Office, Washington, DC; iThe Ohio State University College of Medicine, Columbus; jThe University of Texas Health Science Center at San Antonio; kSouth Texas Veterans Health Care System, San Antonio; lUniversity of Texas at San Antonio; mVeterans Affairs Texas Valley Coastal Bend Health Care System, Harlingen; nSuicide Prevention Center of New York, Albany; oZero Suicide Institute, Waltham, Massachusetts; pMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; qVeterans Affairs Central Texas Health Care System, Temple; rVISN 17 Center of Excellence for Research on Returning War Veterans, Waco, Texas

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The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Correspondence: Bryann DeBeer (bryann.debeer@va.gov)

Fed Pract. 2025;42(Suppl1):e0570. Published online April 18. doi:10.12788/fp.0570

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Fed Pract. 2025;42(Suppl1):e0570. Published online April 18. doi:10.12788/fp.0570

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Bryann DeBeer, PhDa,b; Margaret Talbot, PhDc; Patricia Russell, PhDa,b; Lindsey L. Monteith, PhDa,b; Joseph Mignogna, PhDa,b; Nathaniel Mohatt, PhDd,e; Elisa Borah, PhDf,g; Edgar Villarreal, PhDh; Craig Bryan, PsyDi; Alan Peterson, PhDj,k,l; Meredith Mealer, PhDa,b; Juliana Scheihing, BAa; Kathryn Bongiovanni, LCSWm; Claire Hoffmire, PhDa,b; Jenna Heise, MAn,o; Sylvia Baack, PhD, RNp; Kimberly Weinberg, LCSW-Sq; Marcy Polk, DNP, RN, NEA-BCa; Justin Benzer, PhDg,r

Author affiliations
aVeterans Affairs Eastern Colorado Health Care System, Aurora; bUniversity of Colorado Anschutz Medical Campus, Aurora; cVeterans Affairs Boston Healthcare System, Massachusetts; dYale School of Medicine, New Haven, Connecticut; eBooz Allen Hamilton, Arlington, Virginia; fSteve Hicks School of Social Work, University of Texas at Austin; gDell Medical School, University of Texas at Austin; hVeterans Affairs Central Office, Washington, DC; iThe Ohio State University College of Medicine, Columbus; jThe University of Texas Health Science Center at San Antonio; kSouth Texas Veterans Health Care System, San Antonio; lUniversity of Texas at San Antonio; mVeterans Affairs Texas Valley Coastal Bend Health Care System, Harlingen; nSuicide Prevention Center of New York, Albany; oZero Suicide Institute, Waltham, Massachusetts; pMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; qVeterans Affairs Central Texas Health Care System, Temple; rVISN 17 Center of Excellence for Research on Returning War Veterans, Waco, Texas

Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Correspondence: Bryann DeBeer (bryann.debeer@va.gov)

Fed Pract. 2025;42(Suppl1):e0570. Published online April 18. doi:10.12788/fp.0570

Article PDF
Article PDF

Suicide prevention is the leading clinical priority for the US Department of Veterans Affairs (VA).1 An average of 18 veterans died by suicide each day in 2021.2 Numerous risk factors for veteran suicide have been identified, including mental health disorders, comorbidities, access to firearms, and potentially lethal medications.3-5 To better understand groups of patients at risk of suicide in medical settings, the authors have previously compared demographic and clinical risk factors between patients who died by suicide by using firearms or other means with matched patients who did not die by suicide (control group) to examine the impact of lack of social support, financial stress,6 legal problems,7 homelessness,8 and discrimination.9 The number of cooccurring risk factors a veteran experiences is associated with a greater likelihood of suicide attempts over time.10 In addition, some risk factors are social and environmental risk factors known as social determinants of health (SDoH), including financial stability and access to health care, food, housing, and education. 11 SDoH may influence health outcomes more broadly and are associated with greater risk of suicide.12,13

The VA offers programming to address suicide risk factors. However, not all veterans are eligible for VA care. Further, some veterans prefer to obtain non-VA services in their communities. Providing veterans with community resources that address risk factors, particularly SDoH, may be a worthwhile strategy for reducing suicide. Such resources have demonstrated success; for example, greater use of housing services was associated with a reduced risk for suicide-related mortality among unhoused veterans.12

The challenges that veterans experience can go beyond the scope of services the VA provides. For example, while the VA provides some services related to homelessness, justice involvement, and assistance with home loans, these services are often limited. Other services for veterans to address SDoH may require access to community resources, including food banks, employment assistance, respite and childcare services, and transportation assistance. Some veterans also may have experienced institutional betrayal, which could be a barrier to VA care and may motivate veterans to address their needs in the community.14 Veterans therefore may need a range of services beyond those within the VA. Leveraging community resources for veterans at risk for suicide is critical, as these resources may help to mitigate suicide risk.

An emerging emphasis of the VA is improving coordination with community partners to prevent veteran suicide. In 2019, the VA launched an improved Veterans Community Care Program, which implemented portions of the VA MISSION Act of 2018 to create additional connection to community care for VA-enrolled veterans. This includes assisting veterans in gaining access to specialty services not offered at a local VA medical center (VAMC), getting access to services sooner, and receiving care if they do not live near a VAMC.15 In addition, the COMPACT Act allows veterans in acute suicidal crisis to receive emergency health care through either VA or non-VA facilities at no cost.16 The VA National Strategy for Preventing Veteran Suicide 2018-2028 is a 10-year plan to reduce veteran suicide rates that includes initiatives to increase connections between VA and community agencies.17 A suicide prevention community toolkit is available online for health care professionals (HCPs) (and others, including employers) outside of the VA who may be unfamiliar with best practices for working with veterans at risk for suicide.18

The challenge, however, is that there is often a lack of “connectedness” between VA suicide prevention coordinators and community resources to address suicide risk factors and related social determinants of health. These services include, but are not limited to suicide prevention, mental health counseling (particularly no/low-cost services), unemployment resources, financial assistance and counseling, housing assistance, and identity-related supportive spaces. A major stumbling block in connecting resources with veterans (regardless of discharge status) who need them is there is no single, national organization with a comprehensive, community-based network that can serve in this intermediary role.

Community asset mapping (CAM), also known as asset mapping or environmental scanning, is a way to bridge the gap.19 CAM provides a method for identifying and aligning community resources relative to a specific need.20 CAM may be used to build community relationships in service of veteran suicide prevention. This process can help individuals learn about and make use of organizations and services within their communities. CAM also helps connect HCPs so they can network, exchange ideas, and collaborate with an eye toward increasing the availability of services and enhancing care coordination. CAM also allows community members (eg, leaders, organizations, individuals) to identify possible gaps in services that address suicide risk factors and solve these problems.

This article details CAM for suicide prevention, which can be utilized by the VA and community organizations alike. Within the VA, CAM can be used by HCPs and administrators, such as VA community engagement and partnership coordinators, to identify potential partnering organizations. For those who serve veterans outside of the VA, CAM can be used to connect at-risk individuals to resources that can enhance their care. This process can help increase the overall knowledge of, and access to, community resources.

COMMUNITY ASSET MAPPING

The University of California, Los Angeles Center for Health Policy Research provides 6 steps for the CAM process.21 These steps include: (1) defining the boundaries of people and places that comprise the community; (2) identifying people and organizations who share similar interests and goals; (3) determining the assets to include; (4) creating an inventory of all organizations’ assets; (5) creating an inventory of individuals’ assets; and (6) organizing the assets on a map. To address the needs of the veteran population, we’ve taken these 6 steps and adapted them to create a CAM for veterans at risk for suicide (Figure). The discussion that follows details how these steps can be implemented to identify community resources that address social determinants of health that may contribute to suicide risk. The goal is to prevent veteran suicide.

0425FED-MH-MAP_F1

Step 1: Define Community Reach. The first step is to identify the geographical boundaries of the community. This may include all veterans within a catchment area (eg, veterans within 60 miles of a VAMC). Defining the geographical parameters of the community will provide structure to the effort so that the resource list is as comprehensive as possible.

Steps 2 and 3: Identify Community Members with Shared Goals; Identify Assets. It is important to identify community members who share similar interests and goals, including people with specific knowledge and skills, organizations with particular goals, and community partners with a broad reach. To begin building a list of referrals, reach out to colleagues within the VA system who are familiar with community resources for those with suicide risk factors. The local VA Transition and Care Management (TCM) office is a resource that connects those transitioning from military to civilian sectors with needed resources, and thus may be a helpful resource while building a CAM. Additionally, each office has a transition patient advocate, who is trained to resolve care-related concerns and may be familiar with community resources.

VA HCPs that can assist include Community Engagement and Partnership Coordinators, Suicide Prevention Coordinators, Local Recovery Coordinators, and substance abuse counselors. In addition, VA patient services, patient safety, and public affairs office staff—as well as VA Homeless Programs—may be good resources. Every VA health care system has care coordinators focused on military sexual trauma, intimate partner violence, and lesbian, gay, bisexual, transgender, queer+ care. These care coordinators may be able to provide information on community resources that address social determinants of health (eg, discrimination, violence).

Reaching out to key community resources and asking for recommendations of other groups that provide assistance to veterans can also be productive. You can start by connecting with veterans service organizations (VSOs), Vet Centers, Veterans Experience Offices (VEO), and Community Veterans Engagement Boards (CVEBs). The VEO is an office designed around VA and community engagement efforts. This office utilizes the CVEBs to foster a 2-way communication feedback loop between veterans and local VA facilities regarding community engagement efforts and outreach.22 CVEBs are particularly valuable sources of information because veterans directly contribute to the conversation about community engagement by describing the difficulties and successes they’ve experienced. Veteran feedback about how a particular resource met their needs can inform which community services are prioritized for inclusion in the resource list. In addition, CVEBs may have a listing of local government, military, and/or community resources that provide services for veterans. Consider, too, organizations that are unrelated to an individual’s veteran status, but speak to their race/ethnicity, sexual orientation, gender identity, spirituality, socioeconomic status, or disability.

Step 4: Continue to Build Inventory. Use online searches to identify additional resources in the community that are known to have local relationships. These include state suicide prevention coordinators, mental health organizations, and other resources that address social determinants of health (eg, public health and human service organizations, faith-based organizations, collegial organizations). A list of links and search tips are available in the Table.

0425FED-MH-MAP_T1

Steps 5 and 6: Create Document; Organize and Disseminate Information. A spreadsheet can be used to document organization information (Appendix). It is critical to record: (1) the name of the organization or individual; (2) the local address and a point of contact with contact information; (3) services offered to veterans; (4) services specific to suicide prevention, or that address risk factors for suicide; and (5) whether the referral organization is partnered with the VA Community Care Network, which is comprised of contracted HCPs who contract with the VA to provide care to veterans.23

0425FED-MH-MAP_A1

Once a document is created, it can be disseminated through VA offices and among community partners who work with veterans at risk for suicide. It should also be stored in a centralized location such as a shared folder so that it can be continuously updated.

Regularly updating the list is vital so the resource list can continue to be helpful in addressing veterans’ needs and reducing suicide risk factors. Continued collaboration with those in the community can help ensure the resource list is up to date with all available services and pertinent contact information. It can also go far in strengthening collaborative bonds.

IMPLEMENTATION

To illustrate the use of CAM for veteran suicide prevention, we offer a case example of CAM conducted by the VA Patient Safety Center of Inquiry — Suicide Prevention Collaborative (VA PSCI-SPC) team, consisting of 4 team members. A veteran was included as a team member and assisted with the CAM process.

The VA PSCI-SPC sought to identify community services for veterans in Colorado who were not enrolled in VA health care and had risk factors for suicide. Next, the team reached out to colleagues and asked about community organizations that work with individuals at risk for suicide. VA PSCI-SPC outreach resulted in a list of assets that included resources to address mental health, legal concerns, employment, homelessness/housing, finances, religion, peer support, food insecurity, exercise, intimate partner violence, sexual and gender identity needs, and peer support. VSOs and CVEBs were also added to the list.

Next, the team continued to build on the inventory and identified state suicide prevention coordinators; health care systems; regional suicide prevention commissions; Colorado Department of Health and Human Services; program coordinators for Governor’s and Mayor’s Challenges to Prevent Suicide Among Service Members, Veterans, and their Families; veterans councils; universities (eg, counseling clinics, legal clinics); and foundations devoted to general and veteran-specific suicide prevention within the region.

All the identified resources were inventoried. Details were gathered about each of the organizations, including addresses, points of contact and phone numbers, descriptions of services offered for veterans, descriptions of suicide prevention services offered, whether or not organizations were not-for-profit, the mission of the organizations, and whether or not the organizations were under contract for VA Community Care. Finally, the resource spreadsheet was created and disseminated among stakeholders to be used to enhance veteran suicide care. Stakeholders included social workers, psychologists, and nurse practitioners working with veterans. The list was circulated to VA and community partners as needed.

The VA PSCI-SPC resource document was only 1 benefit of CAM. The asset mapping also resulted in the creation of a learning collaborative comprised of VA and community partners, designed to share knowledge of best practices in suicide prevention and create an established referral network for veterans at risk for suicide.24 Ultimately, the goal of the CAM and the creation of the learning collaborative was to better connect veterans to care in order to decrease suicide risk. A secondary benefit of this community connectedness is that the list of resources produced by CAM became a living document that was, and continues to be, updated as the network became aware of new resources and resources that were no longer available. The VA PSCI-SPC learning collaborative met quarterly to discuss implementation of suicide prevention best practices within their organization.

Data from the VA PSCI-SPC learning collaborative via CAM revealed that organizations felt more efficacious in implementing suicide prevention best practices, noticed increased connections and collaborations with community organizations with the goal of providing services to veterans, and resulted in staff training that improved services provided to veterans.24 This is supported by other findings of a literature review of suicide prevention interventions, which indicated that programs with an established community support network were more effective at reducing suicide rates.25 CAM therefore may be a process through which greater community connection and increased knowledge of resources may help prevent suicide among veterans.

It seems reasonable that the CAM processes used by the VA PSCI-SPC can be implemented within the regional Veterans Integrated Service Networks to identify assets in a specific geographical area to address challenges with social determinants of health and potentially decrease veteran suicide risk.

CONCLUSIONS

CAM can be used to identify and build relationships with community resources that address the stressors that place veterans at risk for suicide. Six proposed steps to CAM for veterans at risk for suicide include: defining community reach (the map); identifying community members and organizations with shared goals; identifying assets within the community; continuing to build inventory; creating a document; and organizing and disseminating the information (while continuing to update the resources).21

CAM can be used to connect veterans with resources to address needs related to adverse social determinants of health that may heighten their risk for suicide. For example, veterans facing legal challenges can connect with a legal clinic; those having difficulties paying bills can obtain financial assistance; those who need help completing their VA claims can connect with the Veterans Benefits Administration or VSOs to assist them with their claims; and those experiencing discrimination can connect with organizations where they may experience acceptance, safety, and support. Broad community support surrounding suicide risk factors can be critical for effective suicide prevention.25

CAM may also be helpful for HCPs and others involved in veteran health care. For example, community mapping can be utilized by newly hired community engagement and partnership coordinators as a tool for outlining resources available for veterans in their community and as a framework to continually update their resource network. CAM develops community awareness, integrates resources, and enhances service utilization, which may assist in veteran suicide prevention by increasing care coordination.17 Finally, mapping community resources can create awareness of the many resources available to help veterans, even before suicide becomes a consideration.

Suicide prevention is the leading clinical priority for the US Department of Veterans Affairs (VA).1 An average of 18 veterans died by suicide each day in 2021.2 Numerous risk factors for veteran suicide have been identified, including mental health disorders, comorbidities, access to firearms, and potentially lethal medications.3-5 To better understand groups of patients at risk of suicide in medical settings, the authors have previously compared demographic and clinical risk factors between patients who died by suicide by using firearms or other means with matched patients who did not die by suicide (control group) to examine the impact of lack of social support, financial stress,6 legal problems,7 homelessness,8 and discrimination.9 The number of cooccurring risk factors a veteran experiences is associated with a greater likelihood of suicide attempts over time.10 In addition, some risk factors are social and environmental risk factors known as social determinants of health (SDoH), including financial stability and access to health care, food, housing, and education. 11 SDoH may influence health outcomes more broadly and are associated with greater risk of suicide.12,13

The VA offers programming to address suicide risk factors. However, not all veterans are eligible for VA care. Further, some veterans prefer to obtain non-VA services in their communities. Providing veterans with community resources that address risk factors, particularly SDoH, may be a worthwhile strategy for reducing suicide. Such resources have demonstrated success; for example, greater use of housing services was associated with a reduced risk for suicide-related mortality among unhoused veterans.12

The challenges that veterans experience can go beyond the scope of services the VA provides. For example, while the VA provides some services related to homelessness, justice involvement, and assistance with home loans, these services are often limited. Other services for veterans to address SDoH may require access to community resources, including food banks, employment assistance, respite and childcare services, and transportation assistance. Some veterans also may have experienced institutional betrayal, which could be a barrier to VA care and may motivate veterans to address their needs in the community.14 Veterans therefore may need a range of services beyond those within the VA. Leveraging community resources for veterans at risk for suicide is critical, as these resources may help to mitigate suicide risk.

An emerging emphasis of the VA is improving coordination with community partners to prevent veteran suicide. In 2019, the VA launched an improved Veterans Community Care Program, which implemented portions of the VA MISSION Act of 2018 to create additional connection to community care for VA-enrolled veterans. This includes assisting veterans in gaining access to specialty services not offered at a local VA medical center (VAMC), getting access to services sooner, and receiving care if they do not live near a VAMC.15 In addition, the COMPACT Act allows veterans in acute suicidal crisis to receive emergency health care through either VA or non-VA facilities at no cost.16 The VA National Strategy for Preventing Veteran Suicide 2018-2028 is a 10-year plan to reduce veteran suicide rates that includes initiatives to increase connections between VA and community agencies.17 A suicide prevention community toolkit is available online for health care professionals (HCPs) (and others, including employers) outside of the VA who may be unfamiliar with best practices for working with veterans at risk for suicide.18

The challenge, however, is that there is often a lack of “connectedness” between VA suicide prevention coordinators and community resources to address suicide risk factors and related social determinants of health. These services include, but are not limited to suicide prevention, mental health counseling (particularly no/low-cost services), unemployment resources, financial assistance and counseling, housing assistance, and identity-related supportive spaces. A major stumbling block in connecting resources with veterans (regardless of discharge status) who need them is there is no single, national organization with a comprehensive, community-based network that can serve in this intermediary role.

Community asset mapping (CAM), also known as asset mapping or environmental scanning, is a way to bridge the gap.19 CAM provides a method for identifying and aligning community resources relative to a specific need.20 CAM may be used to build community relationships in service of veteran suicide prevention. This process can help individuals learn about and make use of organizations and services within their communities. CAM also helps connect HCPs so they can network, exchange ideas, and collaborate with an eye toward increasing the availability of services and enhancing care coordination. CAM also allows community members (eg, leaders, organizations, individuals) to identify possible gaps in services that address suicide risk factors and solve these problems.

This article details CAM for suicide prevention, which can be utilized by the VA and community organizations alike. Within the VA, CAM can be used by HCPs and administrators, such as VA community engagement and partnership coordinators, to identify potential partnering organizations. For those who serve veterans outside of the VA, CAM can be used to connect at-risk individuals to resources that can enhance their care. This process can help increase the overall knowledge of, and access to, community resources.

COMMUNITY ASSET MAPPING

The University of California, Los Angeles Center for Health Policy Research provides 6 steps for the CAM process.21 These steps include: (1) defining the boundaries of people and places that comprise the community; (2) identifying people and organizations who share similar interests and goals; (3) determining the assets to include; (4) creating an inventory of all organizations’ assets; (5) creating an inventory of individuals’ assets; and (6) organizing the assets on a map. To address the needs of the veteran population, we’ve taken these 6 steps and adapted them to create a CAM for veterans at risk for suicide (Figure). The discussion that follows details how these steps can be implemented to identify community resources that address social determinants of health that may contribute to suicide risk. The goal is to prevent veteran suicide.

0425FED-MH-MAP_F1

Step 1: Define Community Reach. The first step is to identify the geographical boundaries of the community. This may include all veterans within a catchment area (eg, veterans within 60 miles of a VAMC). Defining the geographical parameters of the community will provide structure to the effort so that the resource list is as comprehensive as possible.

Steps 2 and 3: Identify Community Members with Shared Goals; Identify Assets. It is important to identify community members who share similar interests and goals, including people with specific knowledge and skills, organizations with particular goals, and community partners with a broad reach. To begin building a list of referrals, reach out to colleagues within the VA system who are familiar with community resources for those with suicide risk factors. The local VA Transition and Care Management (TCM) office is a resource that connects those transitioning from military to civilian sectors with needed resources, and thus may be a helpful resource while building a CAM. Additionally, each office has a transition patient advocate, who is trained to resolve care-related concerns and may be familiar with community resources.

VA HCPs that can assist include Community Engagement and Partnership Coordinators, Suicide Prevention Coordinators, Local Recovery Coordinators, and substance abuse counselors. In addition, VA patient services, patient safety, and public affairs office staff—as well as VA Homeless Programs—may be good resources. Every VA health care system has care coordinators focused on military sexual trauma, intimate partner violence, and lesbian, gay, bisexual, transgender, queer+ care. These care coordinators may be able to provide information on community resources that address social determinants of health (eg, discrimination, violence).

Reaching out to key community resources and asking for recommendations of other groups that provide assistance to veterans can also be productive. You can start by connecting with veterans service organizations (VSOs), Vet Centers, Veterans Experience Offices (VEO), and Community Veterans Engagement Boards (CVEBs). The VEO is an office designed around VA and community engagement efforts. This office utilizes the CVEBs to foster a 2-way communication feedback loop between veterans and local VA facilities regarding community engagement efforts and outreach.22 CVEBs are particularly valuable sources of information because veterans directly contribute to the conversation about community engagement by describing the difficulties and successes they’ve experienced. Veteran feedback about how a particular resource met their needs can inform which community services are prioritized for inclusion in the resource list. In addition, CVEBs may have a listing of local government, military, and/or community resources that provide services for veterans. Consider, too, organizations that are unrelated to an individual’s veteran status, but speak to their race/ethnicity, sexual orientation, gender identity, spirituality, socioeconomic status, or disability.

Step 4: Continue to Build Inventory. Use online searches to identify additional resources in the community that are known to have local relationships. These include state suicide prevention coordinators, mental health organizations, and other resources that address social determinants of health (eg, public health and human service organizations, faith-based organizations, collegial organizations). A list of links and search tips are available in the Table.

0425FED-MH-MAP_T1

Steps 5 and 6: Create Document; Organize and Disseminate Information. A spreadsheet can be used to document organization information (Appendix). It is critical to record: (1) the name of the organization or individual; (2) the local address and a point of contact with contact information; (3) services offered to veterans; (4) services specific to suicide prevention, or that address risk factors for suicide; and (5) whether the referral organization is partnered with the VA Community Care Network, which is comprised of contracted HCPs who contract with the VA to provide care to veterans.23

0425FED-MH-MAP_A1

Once a document is created, it can be disseminated through VA offices and among community partners who work with veterans at risk for suicide. It should also be stored in a centralized location such as a shared folder so that it can be continuously updated.

Regularly updating the list is vital so the resource list can continue to be helpful in addressing veterans’ needs and reducing suicide risk factors. Continued collaboration with those in the community can help ensure the resource list is up to date with all available services and pertinent contact information. It can also go far in strengthening collaborative bonds.

IMPLEMENTATION

To illustrate the use of CAM for veteran suicide prevention, we offer a case example of CAM conducted by the VA Patient Safety Center of Inquiry — Suicide Prevention Collaborative (VA PSCI-SPC) team, consisting of 4 team members. A veteran was included as a team member and assisted with the CAM process.

The VA PSCI-SPC sought to identify community services for veterans in Colorado who were not enrolled in VA health care and had risk factors for suicide. Next, the team reached out to colleagues and asked about community organizations that work with individuals at risk for suicide. VA PSCI-SPC outreach resulted in a list of assets that included resources to address mental health, legal concerns, employment, homelessness/housing, finances, religion, peer support, food insecurity, exercise, intimate partner violence, sexual and gender identity needs, and peer support. VSOs and CVEBs were also added to the list.

Next, the team continued to build on the inventory and identified state suicide prevention coordinators; health care systems; regional suicide prevention commissions; Colorado Department of Health and Human Services; program coordinators for Governor’s and Mayor’s Challenges to Prevent Suicide Among Service Members, Veterans, and their Families; veterans councils; universities (eg, counseling clinics, legal clinics); and foundations devoted to general and veteran-specific suicide prevention within the region.

All the identified resources were inventoried. Details were gathered about each of the organizations, including addresses, points of contact and phone numbers, descriptions of services offered for veterans, descriptions of suicide prevention services offered, whether or not organizations were not-for-profit, the mission of the organizations, and whether or not the organizations were under contract for VA Community Care. Finally, the resource spreadsheet was created and disseminated among stakeholders to be used to enhance veteran suicide care. Stakeholders included social workers, psychologists, and nurse practitioners working with veterans. The list was circulated to VA and community partners as needed.

The VA PSCI-SPC resource document was only 1 benefit of CAM. The asset mapping also resulted in the creation of a learning collaborative comprised of VA and community partners, designed to share knowledge of best practices in suicide prevention and create an established referral network for veterans at risk for suicide.24 Ultimately, the goal of the CAM and the creation of the learning collaborative was to better connect veterans to care in order to decrease suicide risk. A secondary benefit of this community connectedness is that the list of resources produced by CAM became a living document that was, and continues to be, updated as the network became aware of new resources and resources that were no longer available. The VA PSCI-SPC learning collaborative met quarterly to discuss implementation of suicide prevention best practices within their organization.

Data from the VA PSCI-SPC learning collaborative via CAM revealed that organizations felt more efficacious in implementing suicide prevention best practices, noticed increased connections and collaborations with community organizations with the goal of providing services to veterans, and resulted in staff training that improved services provided to veterans.24 This is supported by other findings of a literature review of suicide prevention interventions, which indicated that programs with an established community support network were more effective at reducing suicide rates.25 CAM therefore may be a process through which greater community connection and increased knowledge of resources may help prevent suicide among veterans.

It seems reasonable that the CAM processes used by the VA PSCI-SPC can be implemented within the regional Veterans Integrated Service Networks to identify assets in a specific geographical area to address challenges with social determinants of health and potentially decrease veteran suicide risk.

CONCLUSIONS

CAM can be used to identify and build relationships with community resources that address the stressors that place veterans at risk for suicide. Six proposed steps to CAM for veterans at risk for suicide include: defining community reach (the map); identifying community members and organizations with shared goals; identifying assets within the community; continuing to build inventory; creating a document; and organizing and disseminating the information (while continuing to update the resources).21

CAM can be used to connect veterans with resources to address needs related to adverse social determinants of health that may heighten their risk for suicide. For example, veterans facing legal challenges can connect with a legal clinic; those having difficulties paying bills can obtain financial assistance; those who need help completing their VA claims can connect with the Veterans Benefits Administration or VSOs to assist them with their claims; and those experiencing discrimination can connect with organizations where they may experience acceptance, safety, and support. Broad community support surrounding suicide risk factors can be critical for effective suicide prevention.25

CAM may also be helpful for HCPs and others involved in veteran health care. For example, community mapping can be utilized by newly hired community engagement and partnership coordinators as a tool for outlining resources available for veterans in their community and as a framework to continually update their resource network. CAM develops community awareness, integrates resources, and enhances service utilization, which may assist in veteran suicide prevention by increasing care coordination.17 Finally, mapping community resources can create awareness of the many resources available to help veterans, even before suicide becomes a consideration.

References
  1. Rice L. VA Secretary Robert Wilkie says suicide prevention is his agency’s top ‘clinical’ priority. June 17, 2019. Accessed January 30, 2025. https://www.kut.org/post/va-secretary-robert-wilkie-says-suicide-prevention-his-agencys-top-clinical-priority
  2. US Department of Veterans Affairs. 2023 national veteran suicide prevention annual report. November 2023. Accessed January 30, 2025. https://www.mentalhealth.va.gov/docs/data-sheets/2023/2023-National-Veteran-Suicide-Prevention-Annual-Report-FINAL-508.pdf
  3. DeBeer BB, Meyer EC, Kimbrel NA, Kittel JA, Gulliver SB, Morissette SB. Psychological inflexibility predicts of suicidal ideation over time in veterans of the conflicts in Iraq and Afghanistan. Suicide Life Threat Behav. 2018;48(6):627–641. doi:10.1111/sltb.12388
  4. Ilgen MA, Bohnert ASB, Ignacio RV, et al. Psychiatric diagnoses and risk of suicide in veterans. Arch Gen Psychiatry. 2010;67(11):1152–1158. doi:10.1001/archgenpsychiatry.2010.129
  5. Kimbrel NA, Meyer EC, DeBeer BB, Gulliver SB, Morissette SB. A 12-month prospective study of the effects of PTSD-depression comorbidity on suicidal behavior in Iraq/ Afghanistan-era veterans. Psychiatry Res. 2016;243:97–99. doi:10.1016/j.psychres.2016.06.011
  6. Hoffmire CA, Borowski S, Vogt D. Contribution of veterans’ initial post-separation vocational, financial, and social experiences to their suicidal ideation trajectories following military service. Suicide Life Threat Behav. 2023;53(3):443- 456. doi:10.1111/sltb.12955
  7. Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
  8. Holliday R, Liu S, Brenner LA, et al. Preventing suicide among homeless veterans: a consensus statement by the Veterans Affairs suicide prevention among veterans experiencing homelessness workgroup. Med Care. 2021;59(Suppl 2):S103- S105. doi:10.1097/MLR.0000000000001399
  9. Carter SP, Allred KM, Tucker RP, Simpson TL, Shipherd JC, Lehavot K. Discrimination and suicidal ideation among transgender veterans: The role of social supsupport and connection. LGBT Health. 2019;6(2):43-50. doi:10.1089/lgbt.2018.0239
  10. Lee DJ, Kearns JC, Wisco BE, et al. A longitudinal study of risk factors for suicide attempts among Operation Enduring Freedom and Operation Iraqi Freedom veterans. Depress Anxiety. 2018;35(7): 609-618. doi:10.1002/da.22736
  11. Center for Disease Control and Prevention. Social determinants of health (SDOH). Accessed January 30, 2025. https://odphp.health.gov/healthypeople/priority-areas/social-determinants-health
  12. Montgomery AE, Dichter M, Byrne T, Blosnich J. Intervention to address homelessness and all-cause and suicide mortality among unstably housed US veterans, 2012- 2016. J Epidemiol Community Health. 2021;75:380-386. doi: 10.1136/jech-2020-214664
  13. Llamocca EN, Yeh HH, Miller-Matero LR, et al. Association between adverse social determinants of health and suicide death. Med Care. 2023;61(11):744-749. doi:10.1097/MLR.0000000000001918
  14. Monteith LL, Holliday R, Schneider AL, et al. Institutional betrayal and help-seeking among women survivors of military sexual trauma. Psychol Trauma. 2021;13(7):814-823. doi:10.1037/tra0001027
  15. VA launches new health care options under MISSION Act. News release. US Department of Veterans Affairs. June 6, 2019. Accessed January 31, 2025. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5264
  16. COMPACT Act expands free emergency suicide care for veterans. News release. US Department of Veterans Affairs. February 1, 2023. Accessed January 31,2025. https://www.va.gov/poplar-bluff-health-care/news-releases/compact-act-expands-free-emergency-suicide-care-for-veterans/
  17. US Department of Veterans Affairs. National strategy for preventing Veteran suicide 2018-2028. 2018. Accessed January 31, 2025. https://www.mentalhealth.va.gov/suicide_prevention/docs/Office-of-Mental-Health-and-Suicide-Prevention-National-Strategy-for-Preventing-Veterans-Suicide.pdf
  18. US Department of Veterans Affairs. Veteran outreach toolkit: preventing veteran suicide is everyone’s business. A community call to action. Accessed February 3, 2025. https://floridavets.org/wp-content/uploads/2022/06/VA-Suicide-Prevention-Community-Outreach-Toolkit.pdf
  19. Crane K, Mooney M. Essential tools: community resource mapping. 2005. Accessed February 3, 2025. https://conservancy.umn.edu/bitstream/handle/11299/172995/NCSET_EssentialTools_ResourceMapping.pdf
  20. Community Tool Box. 2. Assessing Community Needs and Resources. Accessed February 3, 2025. https://ctb.ku.edu/en/assessing-community-needs-and-resources
  21. UCLA Center for Health Policy Research. Section 1: asset mapping. 2012. Accessed February 3, 2025. https://healthpolicy.ucla.edu/programs/healthdata/trainings/documents/tw_cba20.pdf
  22. US Department of Veterans Affairs, Veterans Experience Office. 4th quarter 2018 community engagement news. October 2, 2018. Accessed February 4, 2025. https://content.govdelivery.com/accounts/USVAVEO/bulletins/211836e
  23. US Department of Veterans Affairs. About our VA community care network and covered services. Accessed February 6, 2025. https://www.va.gov/resources/aboutour-va-community-care-network-and-covered-services/
  24. DeBeer B, Mignogna J, Borah E, et al. A pilot of a veteran suicide prevention learning collaborative among community organizations: Initial results and outcomes. Suicide Life Threat Behav. 2023;53(4):628-641. doi:10.1111/sltb.12969
  25. Fountoulakis KN, Gonda X, Rihmer Z. Suicide prevention programs through community intervention. J Affect Disord. 2011;130(1-2):10–16. doi:10.1016/j.jad.2010.06.009
References
  1. Rice L. VA Secretary Robert Wilkie says suicide prevention is his agency’s top ‘clinical’ priority. June 17, 2019. Accessed January 30, 2025. https://www.kut.org/post/va-secretary-robert-wilkie-says-suicide-prevention-his-agencys-top-clinical-priority
  2. US Department of Veterans Affairs. 2023 national veteran suicide prevention annual report. November 2023. Accessed January 30, 2025. https://www.mentalhealth.va.gov/docs/data-sheets/2023/2023-National-Veteran-Suicide-Prevention-Annual-Report-FINAL-508.pdf
  3. DeBeer BB, Meyer EC, Kimbrel NA, Kittel JA, Gulliver SB, Morissette SB. Psychological inflexibility predicts of suicidal ideation over time in veterans of the conflicts in Iraq and Afghanistan. Suicide Life Threat Behav. 2018;48(6):627–641. doi:10.1111/sltb.12388
  4. Ilgen MA, Bohnert ASB, Ignacio RV, et al. Psychiatric diagnoses and risk of suicide in veterans. Arch Gen Psychiatry. 2010;67(11):1152–1158. doi:10.1001/archgenpsychiatry.2010.129
  5. Kimbrel NA, Meyer EC, DeBeer BB, Gulliver SB, Morissette SB. A 12-month prospective study of the effects of PTSD-depression comorbidity on suicidal behavior in Iraq/ Afghanistan-era veterans. Psychiatry Res. 2016;243:97–99. doi:10.1016/j.psychres.2016.06.011
  6. Hoffmire CA, Borowski S, Vogt D. Contribution of veterans’ initial post-separation vocational, financial, and social experiences to their suicidal ideation trajectories following military service. Suicide Life Threat Behav. 2023;53(3):443- 456. doi:10.1111/sltb.12955
  7. Holliday R, Martin WB, Monteith LL, Clark SC, LePage JP. Suicide among justice-involved veterans: a brief overview of extant research, theoretical conceptualization, and recommendations for future research. J Soc Distress Homeless. 2020;30(1):41-49. doi:10.1080/10530789.2019.1711306
  8. Holliday R, Liu S, Brenner LA, et al. Preventing suicide among homeless veterans: a consensus statement by the Veterans Affairs suicide prevention among veterans experiencing homelessness workgroup. Med Care. 2021;59(Suppl 2):S103- S105. doi:10.1097/MLR.0000000000001399
  9. Carter SP, Allred KM, Tucker RP, Simpson TL, Shipherd JC, Lehavot K. Discrimination and suicidal ideation among transgender veterans: The role of social supsupport and connection. LGBT Health. 2019;6(2):43-50. doi:10.1089/lgbt.2018.0239
  10. Lee DJ, Kearns JC, Wisco BE, et al. A longitudinal study of risk factors for suicide attempts among Operation Enduring Freedom and Operation Iraqi Freedom veterans. Depress Anxiety. 2018;35(7): 609-618. doi:10.1002/da.22736
  11. Center for Disease Control and Prevention. Social determinants of health (SDOH). Accessed January 30, 2025. https://odphp.health.gov/healthypeople/priority-areas/social-determinants-health
  12. Montgomery AE, Dichter M, Byrne T, Blosnich J. Intervention to address homelessness and all-cause and suicide mortality among unstably housed US veterans, 2012- 2016. J Epidemiol Community Health. 2021;75:380-386. doi: 10.1136/jech-2020-214664
  13. Llamocca EN, Yeh HH, Miller-Matero LR, et al. Association between adverse social determinants of health and suicide death. Med Care. 2023;61(11):744-749. doi:10.1097/MLR.0000000000001918
  14. Monteith LL, Holliday R, Schneider AL, et al. Institutional betrayal and help-seeking among women survivors of military sexual trauma. Psychol Trauma. 2021;13(7):814-823. doi:10.1037/tra0001027
  15. VA launches new health care options under MISSION Act. News release. US Department of Veterans Affairs. June 6, 2019. Accessed January 31, 2025. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5264
  16. COMPACT Act expands free emergency suicide care for veterans. News release. US Department of Veterans Affairs. February 1, 2023. Accessed January 31,2025. https://www.va.gov/poplar-bluff-health-care/news-releases/compact-act-expands-free-emergency-suicide-care-for-veterans/
  17. US Department of Veterans Affairs. National strategy for preventing Veteran suicide 2018-2028. 2018. Accessed January 31, 2025. https://www.mentalhealth.va.gov/suicide_prevention/docs/Office-of-Mental-Health-and-Suicide-Prevention-National-Strategy-for-Preventing-Veterans-Suicide.pdf
  18. US Department of Veterans Affairs. Veteran outreach toolkit: preventing veteran suicide is everyone’s business. A community call to action. Accessed February 3, 2025. https://floridavets.org/wp-content/uploads/2022/06/VA-Suicide-Prevention-Community-Outreach-Toolkit.pdf
  19. Crane K, Mooney M. Essential tools: community resource mapping. 2005. Accessed February 3, 2025. https://conservancy.umn.edu/bitstream/handle/11299/172995/NCSET_EssentialTools_ResourceMapping.pdf
  20. Community Tool Box. 2. Assessing Community Needs and Resources. Accessed February 3, 2025. https://ctb.ku.edu/en/assessing-community-needs-and-resources
  21. UCLA Center for Health Policy Research. Section 1: asset mapping. 2012. Accessed February 3, 2025. https://healthpolicy.ucla.edu/programs/healthdata/trainings/documents/tw_cba20.pdf
  22. US Department of Veterans Affairs, Veterans Experience Office. 4th quarter 2018 community engagement news. October 2, 2018. Accessed February 4, 2025. https://content.govdelivery.com/accounts/USVAVEO/bulletins/211836e
  23. US Department of Veterans Affairs. About our VA community care network and covered services. Accessed February 6, 2025. https://www.va.gov/resources/aboutour-va-community-care-network-and-covered-services/
  24. DeBeer B, Mignogna J, Borah E, et al. A pilot of a veteran suicide prevention learning collaborative among community organizations: Initial results and outcomes. Suicide Life Threat Behav. 2023;53(4):628-641. doi:10.1111/sltb.12969
  25. Fountoulakis KN, Gonda X, Rihmer Z. Suicide prevention programs through community intervention. J Affect Disord. 2011;130(1-2):10–16. doi:10.1016/j.jad.2010.06.009
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Needs of Veterans With Personality Disorder Diagnoses in Community-Based Mental Health Care

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Needs of Veterans With Personality Disorder Diagnoses in Community-Based Mental Health Care

Personality disorders (PDs) are enduring patterns of internal experience and behavior that differ from cultural norms and expectations, are inflexible and pervasive, have their onset in adolescence or early adulthood, and lead to distress or impairment. Ten PDs are included in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition): paranoid, schizoid, schizotypal, borderline, antisocial, histrionic, narcissistic, avoidant, dependent, and obsessive-compulsive.1 These disorders impose a high burden on patients, families, health care systems, and broader economic systems.2,3 Up to 1 in 7 persons in the community and 50% of those receiving outpatient mental health treatment experience a PD.4,5 These conditions are associated with an increased risk of adverse events, including suicide attempt and death by suicide, criminal-legal involvement, homelessness, substance use, underemployment, relational issues, and high utilization of psychiatric services.6-9 PDs are routinely underassessed, underdocumented, and undertreated in clinical settings, and consistently receive less research funding than other, less prevalent forms of psychopathology. 10-12 As a result, there is limited understanding of clinical needs of individuals experiencing PDs.

MILITARY VETERANS WITH PERSONALITY DISORDERS

Underacknowledgment of PDs and their associated difficulties may be especially pronounced in veteran populations. Due to longstanding etiological theories that implicate childhood trauma and adolescent onset in pathology development, PDs are traditionally considered pre-existing conditions or developmental abnormalities by the US Department of Defense and US Department of Veterans Affairs (VA). As a result, PDs are therefore deemed incompatible with military service and ineligible for service-connected disability benefits.13-15 Such determinations allowed PD pathology to be used as grounds for discharge for 26,000 service members from 2001 to 2007, or 2.6% of total enlisted discharges during that period.13,15,16

Despite this structural discrimination, recent research suggests veterans may be more likely to experience PD pathology than the general population.17 For example, a 2021 epidemiological survey in a community-based veteran sample found elevated rates of borderline, antisocial, and schizotypal PDs (6%-13%).6 In contrast, only 0.8% to 5.0% of veteran electronic health records (EHRs) have a documented PD diagnosis.8,18,19 Such elevations in PD pathology within veteran samples imply either a disproportionately high prevalence among enlistees (and therefore missed during recruitment procedures) or onset following military service, possibly due to exposure to traumatic events and/ or occupational stress.17 Due to the relative infancy of research in this area and a lack of longitudinal studies, etiology and course of illness for personality pathology in veterans remains largely unclear.

Structural underacknowledgment of PDs among military personnel has contributed to their underrepresentation in research on veteran populations. PD-focused research with veterans is rare, despite a rapid increase in broader empirical attention paid to these conditions in nonveteran samples.20 A recent meta-analysis of veterans with PDs identified 27 studies that included basic prevalence statistics. PDs were rarely a primary focus for these studies, and most were limited to veterans seen in Veterans Health Administration (VHA) settings.17 The literature also paints a bleak picture, suggesting veterans who experience PDs are at higher risk for suicide attempt and death by suicide, criminal-legal involvement, and homelessness. They also tend to experience more severe comorbid psychopathological symptoms and more often use high-intensity mental health services (eg, care within emergency departments or psychiatric inpatient settings) than veterans without PD pathology.6,8,18,19,21 However, PD pathology does not appear to impede the effectiveness of treatment for veterans.22-24 The implications of PD pathology on broader psychosocial functioning and health care needs certify a need for additional research that examines patterns of personality pathology, particularly in veterans outside the VHA.

METHODS

This study aims to enhance understanding of veterans affected by PDs and offer insight and guidance for treatment of these conditions in federal and nonfederal treatment settings. Previous research has been largely limited to VHA care-receiving samples; the longstanding stigma against PDs by the US military and VA may contribute to biased diagnosis and documentation of PDs in these settings. A large sample of veterans receiving community-based mental health care was therefore used to explore aims of the current study. This study specifically examined demographic patterns, diagnostic comorbidity, psychosocial outcomes, and treatment care settings among veterans with and without a PD diagnosis. Consistent with previous research, we hypothesized that veterans with a PD diagnosis would have more severe mental health comorbidities, poorer psychosocial outcomes, and receive care in higher intensity settings relative to veterans without a diagnosis.

Data for the sample were drawn from the Mental Health Client-Level Data, a publicly available national dataset of nearly 7 million patients who received mental health treatment services provided or funded through state mental health agencies in 2022.25 The analytic sample included about 2.5 million patients for whom veteran status and data around the presence or absence of a PD diagnosis were available. Of these patients, 104,198 were identified as veterans. Veteran patients were identified as predominantly male (63%), White (71%), non-Hispanic (90%), and never married (54%).

Measures

The parent dataset included demographic, clinical, and psychosocial outcome information reported by treatment facilities to individual state administrative systems for each patient who received services. To protect patient privacy, only nonprotected health information is included, and efforts were made throughout compilation of the parent dataset to ensure patient privacy (eg, limiting detail of information disseminated for public access). Because the parent dataset does not include protected health information, studies using these data are considered exempt from institutional review board oversight.

Demographic information. This study reviewed veteran status, sex, race, ethnicity, age, education, and marital status. Veteran status was defined by whether the patient was aged ≥ 18 years and had previously served (but was not currently serving) in the military. Patients with a history of service in the National Guard or Military Reserves were only classified as veterans if they had been called or ordered to active duty while serving. Sex was operationalized dichotomously as male or female; no patients were identified as intersex, transgender, or other gender identities.

Clinical information. Up to 3 mental health diagnoses were reported for each patient and included the following disorders: personality, trauma and attention-deficit/hyperactivity, stressor, anxiety, conduct, delirium/dementia, bipolar, depressive, oppositional defiant, pervasive developmental, schizophrenia or other psychotic, and alcohol or substance use. Mental health diagnosis categories were generated for the parent dataset by grouping diagnostic codes corresponding to each category. To protect patient privacy, more detailed diagnostic information was not available as part of the parent dataset. Although the American Psychiatric Association recognizes 10 distinct PDs, the exact nature of PD diagnoses was not included within the parent dataset. PD diagnoses were coded to reflect the presence or absence of any such diagnosis.

A substance use problem designation was also provided for patients according to various identification methods, including substance use disorder (SUD) diagnosis, substance use screening results, enrollment in a substance use program, substance use survey, service claims information, and other related sources of information. A severe mental illness or serious emotional disturbance designation was provided for patients meeting state definitions of these designations. Context(s) of service provision were coded as inpatient state psychiatric hospital, community-based program, residential treatment center, judicial institution, or other psychiatric inpatient setting.

Psychosocial outcome information. Patient employment and residential status were also included in analyses. Each reflected status at the time of discharge from services or end of reporting period; employment status was only provided for patients receiving treatment in community-based programs.

Data Analysis

Descriptive statistics and X2 analyses were used to compare demographic, clinical, and psychosocial outcome variables between patients with and without PD diagnoses. These analyses were calculated for both the 104,198 veterans and the 2,222,306 nonveterans aged ≥ 18 years in the dataset. Given the sample size, a conservative α of .01 was used to determine statistical significance.

RESULTS

In this sample of persons receiving state-funded mental health care, veterans were significantly less likely than nonveterans to have a documented PD diagnosis (2.1% vs 3.6%, X2 [1] = 647.49; P < .01). PD diagnoses were more common among White (risk ratio [RR], 1.11), non-Hispanic (RR, 1.03) veterans who were in middle to late adulthood (RR, 1.16-1.40), more educated (RR, 1.35), and divorced or widowed (RR, 1.43), and less common among Black/African American (RR, 0.78) or Puerto Rican (RR, 0.32) veterans who were in early adulthood (RR, 0.31-0.79), less educated (RR, 0.64-0.89), and currently married (RR, 0.89) or never married (RR, 0.86). Veteran men and women were equally likely to have a PD diagnosis (RR, 1.03) (Table 1). Among nonveterans, men were less likely than women to have a PD diagnosis (RR, 0.79), and PD diagnoses were most common among persons in middle adulthood (RR, 1.06-1.15) (eAppendix 1).

0425FED-MH-PD-012T10425FED-MH-PD-012_eA1

Veterans with a PD diagnosis were more likely than those without a diagnosis to have more diagnoses (RR, 2.96-8.49) and to have comorbid trauma or related stressor (RR, 1.33), or bipolar (RR, 1.56) or psychotic (RR, 1.15) disorder diagnoses, but less likely to have comorbid depressive disorder (RR, 0.82). Although veterans with and without a PD diagnosis were similarly likely to have a comorbid SUD (RR, 1.13), those with a PD diagnosis were significantly less likely to be assigned a substance use problem designation (RR, 0.78). PD diagnosis was also more common among veterans who received services in state psychiatric hospitals (RR, 3.05), community-based clinics (RR, 1.06), and judicial institutions (RR, 6.33) and less common among those who received services in other psychiatric inpatient settings (RR, 0.30). No differences were observed for residential treatment settings (RR, 0.79). Among nonveterans, a PD diagnosis was associated with slightly greater odds of a substance use designation (RR, 1.03) (eAppendix 2).

0425FED-MH-PD-012_eA2

Veterans with a PD diagnosis were also less likely to have full-time employment (RR, 0.73) and more likely to have undifferentiated employment (RR, 2.00) or to be removed from the labor force (RR, 1.35). Veterans with a PD diagnosis were also more likely to reside in nontraditional living conditions (RR, 1.42) and less likely to be residing in a private residence (RR, 0.98), compared with those without PD diagnosis. The rates of homelessness were similar for veterans with and without a PD diagnosis (RR, 0.90) (Table 2). These patterns were similar among nonveterans.

0425FED-MH-PD-012T2

DISCUSSION

This study examined the rate and correlates of PD diagnosis among a large, community-based sample of veterans receiving state-funded mental health care. About 2% of veterans in this sample had a PD diagnosis, with diagnoses more common among veterans who were White, non-Hispanic, aged ≥ 45 years, with higher education, divorced or widowed, also diagnosed with trauma-related, bipolar, and/or psychotic disorders, underemployed, nontraditionally housed, and receiving treatment in state psychiatric hospital, community-based clinic, or judicial system settings.

The observed rate of PD diagnosis in this study aligns with what is typically observed in VHA EHRs.8,18,19 However, the rate is notably lower than prevalence estimates for psychiatric outpatient settings (about 50%) and in meta-analyses of prevalence among veterans (0.8%-23% for each of the 10 PDs).4,17,26 Longstanding stigma against PDs may contribute to underdiagnosis. For example, many clinicians are concerned that documentation or disclosure of a PD will interfere with the patient’s ability to access treatment due to stigma and discrimination.27,28 These fears are not unfounded; even among clinicians, PDs are commonly considered untreatable, and many individuals with PDs are denied access to evidence-based treatments due to the diagnosis.29 In a 2016 survey of community psychiatrists, nearly 1 in 4 reported that they avoid taking patients with a borderline PD diagnosis in their caseloads.28 To date, no studies have been conducted to explore clinicians’ willingness to accept patients with other PDs or, specifically, among veterans.

Despite such widespread stigma, research suggests clinicians' negative attitudes toward PDs can be decreased through antistigma campaigns.30 However, it remains unclear if such efforts also contribute to an increase in clinicians’ willingness to document PD diagnoses. Without accurate identification and documentation, the field’s understanding of PDs will remain limited.

In the current study, veterans with PD diagnoses tended to present with more complex and severe psychiatric comorbidities compared to veterans without such diagnoses. Observed comorbidity of PDs (particularly borderline PD) with trauma-related and bipolar disorders is well established.8 Conversely, co-occurring personality and psychotic disorders—which comprise 16% of veterans with a PD diagnosis in the sample in this study—are not consistently examined in the literature. A 2022 examination of veterans receiving VHA care suggested 12% and 13% of those with a PD diagnosis documented in their EHR also had documented schizophrenia or another psychotic disorder, respectively. PD diagnoses were associated with 6.88- and 9.80-fold increases in risk for comorbid schizophrenia and other psychotic disorder diagnoses, respectively.8 Similarly, a recent longitudinal study of nearly 2 million Swedish individuals suggested borderline PD is specifically associated with a > 24-times greater risk of having a comorbid psychotic disorder.31 It is therefore possible that the comorbidity between personality and psychotic disorders is quite common despite its relative lack of attention in empirical research.

Veterans with PD diagnoses in this study were also more likely to experience substandard housing, employment challenges, and receive treatment through judicial institutions than those without a PD diagnosis. Such findings are consistent with previous research demonstrating the substantial psychosocial challenges associated with PD diagnosis, even after controlling for comorbid conditions.7,9 Veterans with PDs may benefit from specialized case management and support to facilitate stable housing and employment and to mitigate the risk of judicial involvement. Some research suggests veterans with PDs may be less likely to gain competitive employment after participating in VA therapeutic and supportive employment services programs, suggesting standard programming may be less suitable for this population.32 Similarly, other research suggests individuals with PDs may benefit more from specialized, intensive services than standard clinical case management.33 Future research may therefore benefit from clarifying the degree to which adaptations to standard programming could yield beneficial effects for persons with PD diagnoses.

Implications

Cumulatively, the results of this study attest to the necessity for transdiagnostic treatment planning that includes close collaboration between psychotherapeutic, pharmacological, and case management services. Some psychotherapy models for PDs, such as dialectical behavior therapy (DBT), which includes a combination of group skills training, individual therapy, as-needed phone coaching, and therapist consultation, may be successfully adapted to include this collaboration.34-36 However, implementation of such comprehensive programming often requires extensive clinician training and coordination of resources, which poses implementation challenges.37-39 In 2021, the VHA began large-scale implementation of PD-specific psychotherapy for veterans with recent suicidal self-directed violence and borderline PD, including DBT, though to date results remain unclear.40 Generalist approaches, such as good psychiatric management (GPM), which emphasizes emotional validation, practical problem solving, realistic goal setting, and relationship functioning within the context of standard care appointments, may be more easily implemented in community care settings due to lesser training and resource requirements and can also be adapted to include needed elements of care coordination.41,42 Both DBT and GPM were initially developed for the treatment of borderline PD. Although DBT has also demonstrated some effectiveness in the treatment of antisocial PD, potential applications of DBT and GPM to other PDs remain largely underdeveloped.43-46

There are no widely accepted medications for the treatment of PDs. Pharmacotherapy for these conditions typically consists of individualized approaches informed by personal experience that attempt to balance targeting of specific symptoms while minimizing polypharmacy and potential risks (eg, overdose or addiction).47,48 Despite this, pharmacotherapy is often considered a necessary component in the treatment of bipolar and psychotic disorders, both common comorbidities of PDs found in veterans in this study.49,50 Careful consideration of complex comorbidities and pharmacotherapy needs is warranted in the treatment of veterans with PDs. Future research may benefit from clarifying clinical guidelines around pharmacotherapy, particularly for observed comorbidities of PDs to trauma, bipolar, and psychotic disorders.

It is important to note the discrepancies in the results of this study surrounding patient substance use. The results suggest a negligible or inverse association between the likelihood of a PD diagnosis and difficulties with substance use among the veterans in this study. However, the unexpectedly low rate of SUD diagnoses (< 6%) suggests that they were likely underdocumented. Research suggests a strong association between personality and SUDs in both veteran and civilian samples.6,51 Results suggesting a lower prevalence of substance use difficulties among treatment-seeking veterans with PDs should be interpreted with great caution.

Demographically, PD diagnoses were more common among veterans who were White, non-Hispanic, and aged ≥ 45 years, and less common among veterans who were Black/ African American, mixed/unspecified race, Puerto Rican or other non-Mexican Hispanic ethnicity, or aged < 35 years. No significant sex-based differences were observed. These patterns are consistent with research suggesting individuals who identify as Black may be less likely than individuals who identify as White to report PD symptoms, meet criteria for a PD, and have a PD diagnosed even when it is warranted.52

The findings observed in this study with respect to age, however, are notably inconsistent with the literature. Previous research typically suggests a negative association between age and PD pathology; however, a 2020 review of PDs in older adults by Penders et al suggests a prevalence of 11% to 15% in this population.53,54 Research into PDs most often focuses on adolescent and early adulthood developmental periods, limiting insight into the phenomenology of PDs in middle to late adulthood.55 Further, most research into PDs among geriatric populations has focused on psychometric assessment rather than practical treatment guidance.54 However, in this study, elevated risk for PD diagnoses was salient throughout middle to late adulthood among veterans; similar, albeit less pronounced patterns were also observed for elevated risk of PD diagnosis in middle adulthood among nonveterans. Such findings suggest clarifying the phenomenology and treatment needs of individuals with PDs in middle to late adulthood may have particularly salient implications for the mental health care of veterans affected by these conditions. As the veteran population advances in age, these needs will present unique challenges if health care systems are unprepared to effectively address them.

Limitations

This study is characterized by several strengths, most notably its use of a large dataset recently collected on a national scale. Few studies outside of the VHA system include samples of > 100,000 treatment-seeking veterans collected on a national scale. Nevertheless, results should be understood within the context of several methodological limitations. However, the dataset was limited to the first 3 diagnoses documented in patients’ EHRs, and many patients had no listed diagnoses. Patients with complex comorbidities may have > 3 diagnoses; for these individuals, data provided an incomplete picture of clinical presentation. This is especially relevant for individuals with PDs, who tend to meet criteria for a range of comorbid conditions.8,10 The now dated practice of listing PDs on Axis II also increases the chance of clinicians listing PDs after conditions traditionally listed on Axis I (eg, major depressive disorder) in patient charts.56 This study’s inclusion of only the first 3 listed diagnoses likely underestimated true PD diagnosis prevalence.

The results of this study must be interpreted as reflecting the prevalence and correlates of receiving a PD diagnosis rather than meeting diagnostic criteria for a PD. Relatedly, PD diagnoses were reported as a single construct, limiting insight into prevalence and correlates of individual PD diagnoses (eg, borderline vs paranoid PDs). Meta-analyses estimates suggest PD prevalence among veterans is likely much higher than observed in this study.17 Stigma continues to discourage clinicians from documenting and disclosing PD diagnoses even when warranted.27,28 Continued research should aim to clarify conditions (eg, patient presentation, stigma, or institutional culture) contributing to documentation of PD diagnoses. Given the cross-sectional nature of this study, results cannot speak to longitudinal treatment outcomes or prognosis of persons receiving a PD diagnosis.

Despite its large sample size and national representation, the sampling strategy of this study could have contributed to idiosyncrasies in the dataset. Restriction of data to the persons receiving state-funded mental health services introduces a notable bias to the composition of the sample, which is likely comprised of a disproportionately high number of Medicaid recipients, students, and individuals with chronic illnesses and underrepresentation of persons who pay for mental health services using private insurance or private pay arrangements. As such, although socioeconomic information was not provided within this dataset, one can presume a generally lower socioeconomic status among study participants compared to the community at large. This study also included a proportionally small sample of veterans (3.6% compared to about 6.2% in the broader US population), suggesting veterans may have been underrepresented or underidentified in surveyed mental health care settings.57 This study also did not include data around service in active-duty military, national guard, or military reserves; a greater proportion of the sample likely had a history of military service than was represented by veteran status designation. Further, the proportionally high sample of individuals with severe mental illness suggests a likely overrepresentation of such conditions in surveyed settings.

Institutional differences in the practice of assigning diagnoses likely limited statistical power to detect potentially meaningful associations and effects. Structural influences, such as stigma and institutional culture, may have notable effects on documentation practices, particularly for PDs. Future research should aim to replicate observed associations using more controlled diagnostic procedures.

Lastly, even with the use of a more conservative α and a focus on effect sizes to guide interpretation of results, use of multiple bivariate analyses can be presumed to have increased the likelihood of type I error. Given the limited prior research in this area, an exploratory approach to statistical analysis was considered warranted to maximize opportunity for identifying areas in need of additional empirical attention. Continued research using more conservative statistical approaches (eg, multivariate analyses) is needed to determine replicability and generalizability of observed results.

CONCLUSIONS

This study examined the prevalence and correlates of PD diagnoses in a national sample of veterans receiving community-based, state-funded mental health care. About 2% received a PD diagnosis, with diagnoses most common among veterans who were White, non-Hispanic, aged ≥ 45 years, also diagnosed with trauma-based, bipolar, and/or psychotic disorders, underemployed, nontraditionally housed, and receiving treatment in a state psychiatric hospital or judicial system setting. The results attest to a necessity for transdiagnostic treatment planning and care coordination for this population, with particular attention to psychosocial stressors.

References
  1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed, text revision. American Psychiatric Association; 2022.
  2. Hastrup LH, Jennum P, Ibsen R, Kjellberg J, Simonsen E. Societal costs of borderline personality disorders: a matched-controlled nationwide study of patients and spouses. Acta Psychiatr Scand. 2019;140(5):458-467. doi:10.1111/acps.13094
  3. Sveen CA, Pedersen G, Ulvestad DA, Zahl KE, Wilberg T, Kvarstein EH. Societal costs of personality disorders: a cross-sectional multicenter study of treatment-seeking patients in mental health services in Norway. J Clin Psychol. 2023;79(8):1752-1769. doi:10.1002/jclp.23504
  4. Beckwith H, Moran PF, Reilly J. Personality disorder prevalence in psychiatric outpatients: a systematic literature review. Personal Ment Health. 2014;8(2):91-101. doi:10.1002/pmh.1252
  5. Eaton NR, Greene AL. Personality disorders: community prevalence and socio-demographic correlates. Curr Opin Psychol. 2018;21:28-32. doi:10.1016/j.copsyc. 2017.09.001
  6. Edwards ER, Barnes S, Govindarajulu U, Geraci J, Tsai J. Mental health and substance use patterns associated with lifetime suicide attempt, incarceration, and homelessness: a latent class analysis of a nationally representative sample of U.S. veterans. Psychol Serv. 2021;18(4):619-631. doi:10.1037/ser0000488
  7. Moran P, Romaniuk H, Coffey C, et al. The influence of personality disorder on the future mental health and social adjustment of young adults: a population-based cohort study. Lancet Psychiatry. 2016;3(7):636-645. doi:10.1016/S2215-0366(16)30029-3
  8. Nelson SM, Griffin CA, Hein TC, Bowersox N, McCarthy JF. Personality disorder and suicide risk among patients in the Veterans Affairs health system. Personal Disord. 2022;13(6):563-571. doi:10.1037/per0000521
  9. Skodol AE. Impact of personality pathology on psychosocial functioning. Curr Opin Psychol. 2018;21;33-38. doi:10.1016/j.copsyc.2017.09.006
  10. Tyrer P, Reed GM, Crawford MJ. Classification, assessment, prevalence, and effect of personality disorder. Lancet. 2015;385(9969):717-726. doi:10.1016/S0140-6736(14)61995-4
  11. Fitzpatrick S, Goss S, Di Bartolomeo A, Varma S, Tissera T, Earle E. Follow the money: is borderline personality disorder research underfunded in Canada? Can Psychol. 2024;65(1):46-57. doi:10.1037/cap0000375
  12. Zimmerman M, Gazarian D. Is research on borderline personality disorder underfunded by the National Institute of Health? Psychiatry Res. 2014;220(3):941-944. doi:10.1016/j.psychres.2014.09.021
  13. Leroux TC. U.S. military discharges and pre-existing personality disorders: a health policy review. Adm Policy Ment Health. 2015;42(6):748-755. doi:10.1007/s10488-014-0611-z
  14. Monahan MC, Keener JK. Fitness-for-duty evaluations. In Kennedy CH, Zillmer EA, eds. Military Psychology: Clinical and Operational Applications. 2nd ed. Guilford Publications; 2012:25-49.
  15. Hearing Before the Committee on Veterans’ Affairs, 111th Congress 2nd Sess (2010). Personality disorder discharges: impact on veterans benefits. Accessed March 4, 2025. https://www.govinfo.gov/content/pkg/CHRG-111hhrg61755/html/CHRG-111hhrg61755.htm
  16. Ader M, Cuthbert R, Hoechst K, Simon EH, Strassburger Z, Wishnie M. Casting troops aside: the United States military’s illegal personality disorder discharge problem. Vietnam Veterans of America. March 2012. Accessed February 28, 2025. https://law.yale.edu/sites/default/files/documents/pdf/Clinics/VLSC_CastingTroopsAside.pdf
  17. Edwards ER, Tran H, Wrobleski J, Rabhan Y, Yin J, Chiodi C, Goodman M, Geraci J. Prevalence of personality disorders across veteran samples: A meta-analysis. J Pers Disord. 2022;36(3):339-358. doi:10.1521/ pedi.2022.36.3.339
  18. Holliday R, Desai A, Edwards E, Borges L. Personal i ty disorder diagnosis among just ice -involved veterans: an investigation of VA-using veterans. J Nerv Ment Dis. 2023;211(5):402-406 doi:10.1097/ NMD.0000000000001627
  19. McCarthy JF, Bossarte RM, Katz IR, et al. Predictive modeling and concentration of the risk of suicide: implications for preventive interventions in the US Department of Veterans Affairs. Am J Public Health. 2015;105(9):1935-1942. doi:10.2105/AJPH.2015.302737
  20. Liu Y, Chen C, Zhou Y, Zhang N, Liu S. Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends. Front Psych. 2024;15:1361535. doi:10.3389/ fpsyt.2024.1361535
  21. Williams R, Holliday R, Clem M, Anderson E, Morris EE, Surís A. Borderline personality disorder and military sexual trauma: analysis of previous traumatization and current psychiatric presentation. J Interpers Violence. 2017;32(15):2223-2236. doi:10.1177/0886260515596149
  22. Holder N, Holliday R, Pai A, Surís A. Role of borderline personality disorder in the treatment of military sexual trauma-related posttraumatic stress disorder with cognitive processing therapy. Behav Med. 2017;43(3):184-190. doi:10.1080/08964289.2016.1276430
  23. Ralevski E, Ball S, Nich C, Limoncelli D, Petrakis I. The impact of personality disorders on alcohol-use outcomes in a pharmacotherapy trial for alcohol dependence and comorbid Axis I disorders. Am J Addict. 2007;16(6):443- 449. doi:10.1080/10550490701643336
  24. Walter KH, Bolte TA, Owens GP, Chard KM. The impact of personality disorders on treatment outcome for veterans in a posttraumatic stress disorder residential treatment program. Cognit Ther Res. 2012;36(5):576-584. doi:10.1007/s10608-011-9393-8
  25. Substance Abuse and Mental Health Services. Mental health client-level data (MH-CLD), 2022. Accessed February 28, 2025. https://www.datafiles.samhsa.gov/dataset/mental-health-client-level-data-2022-mh-cld-2022-ds0001
  26. Zimmerman M, Rothschild L, Chelminski I. The prevalence of DSM-IV personality disorders in psychiatric outpatients. Am J Psychiatry. 2005;162(10):1911-1918. doi:10.1176/appi.ajp.162.10.1911
  27. Campbell K, Clarke KA, Massey D, Lakeman R. Borderline personality disorder: To diagnose or not to diagnose? That is the question. Int J Mental Health Nurs. 2020;29(5):972-981. doi:10.1111/inm.12737
  28. Sisti D, Segal AG, Siegel AM, Johnson R, Gunderson J. Diagnosing, disclosing, and documenting borderline personality disorder: a survey of psychiatrists’ practices. J Pers Disord. 2016;30(6):848-856. doi:10.1521/ pedi_2015_29_228
  29. Klein P, Fairweather AK, Lawn S. Structural stigma and its impact on healthcare for borderline personality disorder: a scoping review. Int J Ment Health Syst. 2022;16(1):48. doi:10.1186/s13033-022-00558-3
  30. Knaak S, Szeto AC, Fitch K, Modgill G, Patten S. Stigma towards borderline personality disorder: effectiveness and generalizability of an anti-stigma program for healthcare providers using a pre-post randomized design. Borderline Personal Disord Emot Dysregul. 2015;2:9. doi:10.1186/s40479-015-0030-0
  31. Tate AE, Sahlin H, Liu S, et al. Borderline personality disorder: associations with psychiatric disorders, somatic illnesses, trauma, and adverse behaviors. Mol Psychiatry. 2022;27:2514-2521. doi:10.1038/s41380- 022-01503-z
  32. Abraham KM, Yosef M, Resnick SG, Zivin K. Competitive employment outcomes among veterans in VHA Therapeutic and Supported Employment Services programs. Psychiatr Serv. 2017;68(9)938-946. doi:10.1176/appi. ps201600412
  33. Frisman LK, Mueser KT, Covell NH, et al. Use of integrated dual disorder treatment via Assertive Community Treatment versus clinical case management for persons with co-occurring disorders and antisocial personality disorder. J Nerv Ment Dis. 2009;197(11):822-828. doi:10.1097/NMD.0b013e3181beac52
  34. Edwards ER, Kober H, Rinne GR, Griffin SA, Axelrod S, Cooney EB. Skills]homework completion and phone coaching as predictors of therapeutic change and outcomes in completers of a DBT intensive outpatient programme. Psychol Psychother. 2021;94(3):504-522. doi:10.1111/papt.12325
  35. Linehan MM, Dimeff LA, Reynolds SK, et al. Dialectical behavior therapy versus comprehensive validation therapy plus 12-step for the treatment of opioid dependent women meeting criteria for borderline personality disorder. Drug Alcohol Depend. 2002;67(1):13-26. doi:10.1016/s0376-8716(02)00011-x
  36. Linehan MM, Korslund KE, Harned MS, et al. Dialectical behavior therapy for high suicide risk in individuals with borderline personality disorder: a randomized clinical trial and component analysis. JAMA Psychiatry. 2015;72(5):475-482.doi:10.1001 /jamapsychiatry.2014.3039
  37. Carmel A, Rose ML, Fruzzetti AE. Barriers and solutions to implementing dialectical behavior therapy in a public behavioral health system. Adm Policy Ment Health. 2014;41(5):608-614. doi:10.1007/s10488-013-0504-6
  38. Decker SE, Matthieu MM, Smith BN, Landes SJ. Barriers and facilitators to dialectical behavior therapy skills groups in the Veterans Health Administration. Mil Med. 2024;189(5-6):1055-1063. doi:10.1093/milmed/ usad123
  39. Landes SJ, Rodriguez AL, Smith BN, et al. Barriers, facilitators, and benefits of implementation of dialectical behavior therapy in routine care: results from a national program evaluation survey in the Veterans Health Administration. Transl Behav Med. 2017;7(4):832-844. doi:10.1007/s13142-017-0465-5
  40. Walker J, Betthauser LM, Green K, Landes SJ, Stacy M. Suicide Prevention 2.0 Clinical Telehealth Program: Evidence- Based Treatment in the Veterans Health Administration. April 28, 2024. Accessed February 28, 2025. https://www.youtube.com/watch?v=fFsDzkg0SR0
  41. Gunderson J, Masland S, Choi-Kain L. Good psychiatric management: a review. Curr Opin Psychol. 2018;21:127- 131. doi:10.1016/j.copsyc.2017.12.006
  42. Kramer U. Good-enough therapy: a review of the empirical basis of good psychiatric management. Am J Psychother. 2025;78(1): 11-15. doi:10.1176/appi .psychotherapy.20230041
  43. Visdómine-Lozano JC. Contextualist perspectives in the treatment of antisocial behaviors and offending: a comparative review of FAP, ACT, DBT, and MDT. Trauma Violence Abuse. 2022;23(1):241-254. doi:10.1177/1524838020939509
  44. Drago A, Marogna C, Jørgen Søgaard H. A review of characteristics and treatments of the avoidant personality disorder. Could the DBT be an option? Int J Psychol Psychoanal. 2016;2(1):013.
  45. Finch EF, Choi-Kain LW, Iliakis EA, Eisen JL, Pinto A. Good psychiatric management for obsessive–compulsive personality disorder. Curr Behav Neurosci Rep. 2021;8:160-171. doi:10.1007/s40473-021-00239-4
  46. Miller TW, Kraus RF. Modified dialectical behavior therapy and problem solving for obsessive-compulsive personality disorder. Journal Contemp Psychother. 2007;37:79-85. doi:10.1007/s10879-006-9039-4
  47. Bozzatello P, Rocca P, De Rosa ML, Bellino S. Current and emerging medications for borderline personality disorder: is pharmacotherapy alone enough? Expert Opin Pharmacother. 2020;21(1):47-61.doi:10.1080/14656566 .2019.1686482
  48. Sand P, Derviososki E, Kollia S, Strand J, Di Leone F. Psychiatrists’ perspectives on prescription decisions for patients with personality disorders. J Pers Disord. 2024;38(3):225-240. doi:10.1521/pedi.2024.38.3.225
  49. Kane JM, Leucht S, Carpenter D, Docherty JP; Expert Consensus Panel for Optimizing Pharmacologic Treatment of Psychotic Disorders. The expert consensus guideline series. Optimizing pharmacologic treatment of psychotic disorders. Introduction: Methods, commentary, and summary. J Clin Psychiatry. 2003;64 Suppl 12:5-19.
  50. Nierenberg AA, Agustini B, Köhler-Forsberg O, et al. Diagnosis and treatment of bipolar disorder: a review. JAMA. 2023;330(14):1370-1380. doi:10.1001 /jama.2023.18588
  51. Köck P, Walter M. Personality disorder and substance use disorder–an update. Ment Health Prev. 2018;12:82- 89. doi:10.1016/J.MHP.2018.10.003
  52. Garb HN. Race bias and gender bias in the diagnosis of psychological disorders. Clin Psych Rev. 2021;90:102087. doi:10.1016/j.cpr.2021.102087
  53. Debast I, van Alphen SPJ, Rossi G, et al. Personality traits and personality disorders in late middle and old age: do they remain stable? A literature review. Clin Gerontol. 2014;37(3):253-271.doi:10.1080/07317115 .2014.885917
  54. Penders KAP, Peeters IGP, Metsemakers JFM, van Alphen SPJ. Personality disorders in older adults: a review of epidemiology, assessment, and treatment. Curr Psychiatry Rep. 2020;22(3):1-14. doi:10.1007/s11920-020- 1133-x
  55. Videler AC, Hutsebaut J, Schulkens JEM, Sobczak S, van Alphen SPJ. A life span perspective on borderline personality disorder. Curr Psychiatry Rep. 2019;21(7) :1-8. doi:10.1007/s11920-019-1040-1
  56. Wakefield JC. DSM-5 and the general definition of personality disorder. Clin Soc Work J. 2013;41(2):168-183. doi:10.1007/s10615-012-0402-5
  57. US Census Bureau. 2022 American Community Survey 1-year. Accessed February 28, 2025. https://data.census.gov/table/ACSST1Y2022.S2101?q=Veterans&y=2022comparison
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Emily R. Edwards, PhDa,b,c; Ashley L. Greene, PhDa; Suzanne E. Decker, PhDb,d; Hugh D. Leonard, PhDe; Marianne Goodman, MDa,c

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aVISN 2 Mental Illness Research Education, and Clinical Center, Bronx, New York 
bYale School of Medicine, New Haven, Connecticut cIcahn School of Medicine at Mount Sinai, New York City, New York 
dVISN 1 Mental Illness Research Education, and Clinical Center, West Haven, Connecticut 
eMann-Grandstaff Department of Veterans Affairs Medical Center, Spokane, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Emily Edwards (emily.edwards@yale.edu)

Fed Pract. 2025;42(suppl 1). Published online April 2. doi:10.12788/fp.0572

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bYale School of Medicine, New Haven, Connecticut cIcahn School of Medicine at Mount Sinai, New York City, New York 
dVISN 1 Mental Illness Research Education, and Clinical Center, West Haven, Connecticut 
eMann-Grandstaff Department of Veterans Affairs Medical Center, Spokane, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Emily Edwards (emily.edwards@yale.edu)

Fed Pract. 2025;42(suppl 1). Published online April 2. doi:10.12788/fp.0572

Author and Disclosure Information

Emily R. Edwards, PhDa,b,c; Ashley L. Greene, PhDa; Suzanne E. Decker, PhDb,d; Hugh D. Leonard, PhDe; Marianne Goodman, MDa,c

Author affiliations 
aVISN 2 Mental Illness Research Education, and Clinical Center, Bronx, New York 
bYale School of Medicine, New Haven, Connecticut cIcahn School of Medicine at Mount Sinai, New York City, New York 
dVISN 1 Mental Illness Research Education, and Clinical Center, West Haven, Connecticut 
eMann-Grandstaff Department of Veterans Affairs Medical Center, Spokane, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Emily Edwards (emily.edwards@yale.edu)

Fed Pract. 2025;42(suppl 1). Published online April 2. doi:10.12788/fp.0572

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Personality disorders (PDs) are enduring patterns of internal experience and behavior that differ from cultural norms and expectations, are inflexible and pervasive, have their onset in adolescence or early adulthood, and lead to distress or impairment. Ten PDs are included in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition): paranoid, schizoid, schizotypal, borderline, antisocial, histrionic, narcissistic, avoidant, dependent, and obsessive-compulsive.1 These disorders impose a high burden on patients, families, health care systems, and broader economic systems.2,3 Up to 1 in 7 persons in the community and 50% of those receiving outpatient mental health treatment experience a PD.4,5 These conditions are associated with an increased risk of adverse events, including suicide attempt and death by suicide, criminal-legal involvement, homelessness, substance use, underemployment, relational issues, and high utilization of psychiatric services.6-9 PDs are routinely underassessed, underdocumented, and undertreated in clinical settings, and consistently receive less research funding than other, less prevalent forms of psychopathology. 10-12 As a result, there is limited understanding of clinical needs of individuals experiencing PDs.

MILITARY VETERANS WITH PERSONALITY DISORDERS

Underacknowledgment of PDs and their associated difficulties may be especially pronounced in veteran populations. Due to longstanding etiological theories that implicate childhood trauma and adolescent onset in pathology development, PDs are traditionally considered pre-existing conditions or developmental abnormalities by the US Department of Defense and US Department of Veterans Affairs (VA). As a result, PDs are therefore deemed incompatible with military service and ineligible for service-connected disability benefits.13-15 Such determinations allowed PD pathology to be used as grounds for discharge for 26,000 service members from 2001 to 2007, or 2.6% of total enlisted discharges during that period.13,15,16

Despite this structural discrimination, recent research suggests veterans may be more likely to experience PD pathology than the general population.17 For example, a 2021 epidemiological survey in a community-based veteran sample found elevated rates of borderline, antisocial, and schizotypal PDs (6%-13%).6 In contrast, only 0.8% to 5.0% of veteran electronic health records (EHRs) have a documented PD diagnosis.8,18,19 Such elevations in PD pathology within veteran samples imply either a disproportionately high prevalence among enlistees (and therefore missed during recruitment procedures) or onset following military service, possibly due to exposure to traumatic events and/ or occupational stress.17 Due to the relative infancy of research in this area and a lack of longitudinal studies, etiology and course of illness for personality pathology in veterans remains largely unclear.

Structural underacknowledgment of PDs among military personnel has contributed to their underrepresentation in research on veteran populations. PD-focused research with veterans is rare, despite a rapid increase in broader empirical attention paid to these conditions in nonveteran samples.20 A recent meta-analysis of veterans with PDs identified 27 studies that included basic prevalence statistics. PDs were rarely a primary focus for these studies, and most were limited to veterans seen in Veterans Health Administration (VHA) settings.17 The literature also paints a bleak picture, suggesting veterans who experience PDs are at higher risk for suicide attempt and death by suicide, criminal-legal involvement, and homelessness. They also tend to experience more severe comorbid psychopathological symptoms and more often use high-intensity mental health services (eg, care within emergency departments or psychiatric inpatient settings) than veterans without PD pathology.6,8,18,19,21 However, PD pathology does not appear to impede the effectiveness of treatment for veterans.22-24 The implications of PD pathology on broader psychosocial functioning and health care needs certify a need for additional research that examines patterns of personality pathology, particularly in veterans outside the VHA.

METHODS

This study aims to enhance understanding of veterans affected by PDs and offer insight and guidance for treatment of these conditions in federal and nonfederal treatment settings. Previous research has been largely limited to VHA care-receiving samples; the longstanding stigma against PDs by the US military and VA may contribute to biased diagnosis and documentation of PDs in these settings. A large sample of veterans receiving community-based mental health care was therefore used to explore aims of the current study. This study specifically examined demographic patterns, diagnostic comorbidity, psychosocial outcomes, and treatment care settings among veterans with and without a PD diagnosis. Consistent with previous research, we hypothesized that veterans with a PD diagnosis would have more severe mental health comorbidities, poorer psychosocial outcomes, and receive care in higher intensity settings relative to veterans without a diagnosis.

Data for the sample were drawn from the Mental Health Client-Level Data, a publicly available national dataset of nearly 7 million patients who received mental health treatment services provided or funded through state mental health agencies in 2022.25 The analytic sample included about 2.5 million patients for whom veteran status and data around the presence or absence of a PD diagnosis were available. Of these patients, 104,198 were identified as veterans. Veteran patients were identified as predominantly male (63%), White (71%), non-Hispanic (90%), and never married (54%).

Measures

The parent dataset included demographic, clinical, and psychosocial outcome information reported by treatment facilities to individual state administrative systems for each patient who received services. To protect patient privacy, only nonprotected health information is included, and efforts were made throughout compilation of the parent dataset to ensure patient privacy (eg, limiting detail of information disseminated for public access). Because the parent dataset does not include protected health information, studies using these data are considered exempt from institutional review board oversight.

Demographic information. This study reviewed veteran status, sex, race, ethnicity, age, education, and marital status. Veteran status was defined by whether the patient was aged ≥ 18 years and had previously served (but was not currently serving) in the military. Patients with a history of service in the National Guard or Military Reserves were only classified as veterans if they had been called or ordered to active duty while serving. Sex was operationalized dichotomously as male or female; no patients were identified as intersex, transgender, or other gender identities.

Clinical information. Up to 3 mental health diagnoses were reported for each patient and included the following disorders: personality, trauma and attention-deficit/hyperactivity, stressor, anxiety, conduct, delirium/dementia, bipolar, depressive, oppositional defiant, pervasive developmental, schizophrenia or other psychotic, and alcohol or substance use. Mental health diagnosis categories were generated for the parent dataset by grouping diagnostic codes corresponding to each category. To protect patient privacy, more detailed diagnostic information was not available as part of the parent dataset. Although the American Psychiatric Association recognizes 10 distinct PDs, the exact nature of PD diagnoses was not included within the parent dataset. PD diagnoses were coded to reflect the presence or absence of any such diagnosis.

A substance use problem designation was also provided for patients according to various identification methods, including substance use disorder (SUD) diagnosis, substance use screening results, enrollment in a substance use program, substance use survey, service claims information, and other related sources of information. A severe mental illness or serious emotional disturbance designation was provided for patients meeting state definitions of these designations. Context(s) of service provision were coded as inpatient state psychiatric hospital, community-based program, residential treatment center, judicial institution, or other psychiatric inpatient setting.

Psychosocial outcome information. Patient employment and residential status were also included in analyses. Each reflected status at the time of discharge from services or end of reporting period; employment status was only provided for patients receiving treatment in community-based programs.

Data Analysis

Descriptive statistics and X2 analyses were used to compare demographic, clinical, and psychosocial outcome variables between patients with and without PD diagnoses. These analyses were calculated for both the 104,198 veterans and the 2,222,306 nonveterans aged ≥ 18 years in the dataset. Given the sample size, a conservative α of .01 was used to determine statistical significance.

RESULTS

In this sample of persons receiving state-funded mental health care, veterans were significantly less likely than nonveterans to have a documented PD diagnosis (2.1% vs 3.6%, X2 [1] = 647.49; P < .01). PD diagnoses were more common among White (risk ratio [RR], 1.11), non-Hispanic (RR, 1.03) veterans who were in middle to late adulthood (RR, 1.16-1.40), more educated (RR, 1.35), and divorced or widowed (RR, 1.43), and less common among Black/African American (RR, 0.78) or Puerto Rican (RR, 0.32) veterans who were in early adulthood (RR, 0.31-0.79), less educated (RR, 0.64-0.89), and currently married (RR, 0.89) or never married (RR, 0.86). Veteran men and women were equally likely to have a PD diagnosis (RR, 1.03) (Table 1). Among nonveterans, men were less likely than women to have a PD diagnosis (RR, 0.79), and PD diagnoses were most common among persons in middle adulthood (RR, 1.06-1.15) (eAppendix 1).

0425FED-MH-PD-012T10425FED-MH-PD-012_eA1

Veterans with a PD diagnosis were more likely than those without a diagnosis to have more diagnoses (RR, 2.96-8.49) and to have comorbid trauma or related stressor (RR, 1.33), or bipolar (RR, 1.56) or psychotic (RR, 1.15) disorder diagnoses, but less likely to have comorbid depressive disorder (RR, 0.82). Although veterans with and without a PD diagnosis were similarly likely to have a comorbid SUD (RR, 1.13), those with a PD diagnosis were significantly less likely to be assigned a substance use problem designation (RR, 0.78). PD diagnosis was also more common among veterans who received services in state psychiatric hospitals (RR, 3.05), community-based clinics (RR, 1.06), and judicial institutions (RR, 6.33) and less common among those who received services in other psychiatric inpatient settings (RR, 0.30). No differences were observed for residential treatment settings (RR, 0.79). Among nonveterans, a PD diagnosis was associated with slightly greater odds of a substance use designation (RR, 1.03) (eAppendix 2).

0425FED-MH-PD-012_eA2

Veterans with a PD diagnosis were also less likely to have full-time employment (RR, 0.73) and more likely to have undifferentiated employment (RR, 2.00) or to be removed from the labor force (RR, 1.35). Veterans with a PD diagnosis were also more likely to reside in nontraditional living conditions (RR, 1.42) and less likely to be residing in a private residence (RR, 0.98), compared with those without PD diagnosis. The rates of homelessness were similar for veterans with and without a PD diagnosis (RR, 0.90) (Table 2). These patterns were similar among nonveterans.

0425FED-MH-PD-012T2

DISCUSSION

This study examined the rate and correlates of PD diagnosis among a large, community-based sample of veterans receiving state-funded mental health care. About 2% of veterans in this sample had a PD diagnosis, with diagnoses more common among veterans who were White, non-Hispanic, aged ≥ 45 years, with higher education, divorced or widowed, also diagnosed with trauma-related, bipolar, and/or psychotic disorders, underemployed, nontraditionally housed, and receiving treatment in state psychiatric hospital, community-based clinic, or judicial system settings.

The observed rate of PD diagnosis in this study aligns with what is typically observed in VHA EHRs.8,18,19 However, the rate is notably lower than prevalence estimates for psychiatric outpatient settings (about 50%) and in meta-analyses of prevalence among veterans (0.8%-23% for each of the 10 PDs).4,17,26 Longstanding stigma against PDs may contribute to underdiagnosis. For example, many clinicians are concerned that documentation or disclosure of a PD will interfere with the patient’s ability to access treatment due to stigma and discrimination.27,28 These fears are not unfounded; even among clinicians, PDs are commonly considered untreatable, and many individuals with PDs are denied access to evidence-based treatments due to the diagnosis.29 In a 2016 survey of community psychiatrists, nearly 1 in 4 reported that they avoid taking patients with a borderline PD diagnosis in their caseloads.28 To date, no studies have been conducted to explore clinicians’ willingness to accept patients with other PDs or, specifically, among veterans.

Despite such widespread stigma, research suggests clinicians' negative attitudes toward PDs can be decreased through antistigma campaigns.30 However, it remains unclear if such efforts also contribute to an increase in clinicians’ willingness to document PD diagnoses. Without accurate identification and documentation, the field’s understanding of PDs will remain limited.

In the current study, veterans with PD diagnoses tended to present with more complex and severe psychiatric comorbidities compared to veterans without such diagnoses. Observed comorbidity of PDs (particularly borderline PD) with trauma-related and bipolar disorders is well established.8 Conversely, co-occurring personality and psychotic disorders—which comprise 16% of veterans with a PD diagnosis in the sample in this study—are not consistently examined in the literature. A 2022 examination of veterans receiving VHA care suggested 12% and 13% of those with a PD diagnosis documented in their EHR also had documented schizophrenia or another psychotic disorder, respectively. PD diagnoses were associated with 6.88- and 9.80-fold increases in risk for comorbid schizophrenia and other psychotic disorder diagnoses, respectively.8 Similarly, a recent longitudinal study of nearly 2 million Swedish individuals suggested borderline PD is specifically associated with a > 24-times greater risk of having a comorbid psychotic disorder.31 It is therefore possible that the comorbidity between personality and psychotic disorders is quite common despite its relative lack of attention in empirical research.

Veterans with PD diagnoses in this study were also more likely to experience substandard housing, employment challenges, and receive treatment through judicial institutions than those without a PD diagnosis. Such findings are consistent with previous research demonstrating the substantial psychosocial challenges associated with PD diagnosis, even after controlling for comorbid conditions.7,9 Veterans with PDs may benefit from specialized case management and support to facilitate stable housing and employment and to mitigate the risk of judicial involvement. Some research suggests veterans with PDs may be less likely to gain competitive employment after participating in VA therapeutic and supportive employment services programs, suggesting standard programming may be less suitable for this population.32 Similarly, other research suggests individuals with PDs may benefit more from specialized, intensive services than standard clinical case management.33 Future research may therefore benefit from clarifying the degree to which adaptations to standard programming could yield beneficial effects for persons with PD diagnoses.

Implications

Cumulatively, the results of this study attest to the necessity for transdiagnostic treatment planning that includes close collaboration between psychotherapeutic, pharmacological, and case management services. Some psychotherapy models for PDs, such as dialectical behavior therapy (DBT), which includes a combination of group skills training, individual therapy, as-needed phone coaching, and therapist consultation, may be successfully adapted to include this collaboration.34-36 However, implementation of such comprehensive programming often requires extensive clinician training and coordination of resources, which poses implementation challenges.37-39 In 2021, the VHA began large-scale implementation of PD-specific psychotherapy for veterans with recent suicidal self-directed violence and borderline PD, including DBT, though to date results remain unclear.40 Generalist approaches, such as good psychiatric management (GPM), which emphasizes emotional validation, practical problem solving, realistic goal setting, and relationship functioning within the context of standard care appointments, may be more easily implemented in community care settings due to lesser training and resource requirements and can also be adapted to include needed elements of care coordination.41,42 Both DBT and GPM were initially developed for the treatment of borderline PD. Although DBT has also demonstrated some effectiveness in the treatment of antisocial PD, potential applications of DBT and GPM to other PDs remain largely underdeveloped.43-46

There are no widely accepted medications for the treatment of PDs. Pharmacotherapy for these conditions typically consists of individualized approaches informed by personal experience that attempt to balance targeting of specific symptoms while minimizing polypharmacy and potential risks (eg, overdose or addiction).47,48 Despite this, pharmacotherapy is often considered a necessary component in the treatment of bipolar and psychotic disorders, both common comorbidities of PDs found in veterans in this study.49,50 Careful consideration of complex comorbidities and pharmacotherapy needs is warranted in the treatment of veterans with PDs. Future research may benefit from clarifying clinical guidelines around pharmacotherapy, particularly for observed comorbidities of PDs to trauma, bipolar, and psychotic disorders.

It is important to note the discrepancies in the results of this study surrounding patient substance use. The results suggest a negligible or inverse association between the likelihood of a PD diagnosis and difficulties with substance use among the veterans in this study. However, the unexpectedly low rate of SUD diagnoses (< 6%) suggests that they were likely underdocumented. Research suggests a strong association between personality and SUDs in both veteran and civilian samples.6,51 Results suggesting a lower prevalence of substance use difficulties among treatment-seeking veterans with PDs should be interpreted with great caution.

Demographically, PD diagnoses were more common among veterans who were White, non-Hispanic, and aged ≥ 45 years, and less common among veterans who were Black/ African American, mixed/unspecified race, Puerto Rican or other non-Mexican Hispanic ethnicity, or aged < 35 years. No significant sex-based differences were observed. These patterns are consistent with research suggesting individuals who identify as Black may be less likely than individuals who identify as White to report PD symptoms, meet criteria for a PD, and have a PD diagnosed even when it is warranted.52

The findings observed in this study with respect to age, however, are notably inconsistent with the literature. Previous research typically suggests a negative association between age and PD pathology; however, a 2020 review of PDs in older adults by Penders et al suggests a prevalence of 11% to 15% in this population.53,54 Research into PDs most often focuses on adolescent and early adulthood developmental periods, limiting insight into the phenomenology of PDs in middle to late adulthood.55 Further, most research into PDs among geriatric populations has focused on psychometric assessment rather than practical treatment guidance.54 However, in this study, elevated risk for PD diagnoses was salient throughout middle to late adulthood among veterans; similar, albeit less pronounced patterns were also observed for elevated risk of PD diagnosis in middle adulthood among nonveterans. Such findings suggest clarifying the phenomenology and treatment needs of individuals with PDs in middle to late adulthood may have particularly salient implications for the mental health care of veterans affected by these conditions. As the veteran population advances in age, these needs will present unique challenges if health care systems are unprepared to effectively address them.

Limitations

This study is characterized by several strengths, most notably its use of a large dataset recently collected on a national scale. Few studies outside of the VHA system include samples of > 100,000 treatment-seeking veterans collected on a national scale. Nevertheless, results should be understood within the context of several methodological limitations. However, the dataset was limited to the first 3 diagnoses documented in patients’ EHRs, and many patients had no listed diagnoses. Patients with complex comorbidities may have > 3 diagnoses; for these individuals, data provided an incomplete picture of clinical presentation. This is especially relevant for individuals with PDs, who tend to meet criteria for a range of comorbid conditions.8,10 The now dated practice of listing PDs on Axis II also increases the chance of clinicians listing PDs after conditions traditionally listed on Axis I (eg, major depressive disorder) in patient charts.56 This study’s inclusion of only the first 3 listed diagnoses likely underestimated true PD diagnosis prevalence.

The results of this study must be interpreted as reflecting the prevalence and correlates of receiving a PD diagnosis rather than meeting diagnostic criteria for a PD. Relatedly, PD diagnoses were reported as a single construct, limiting insight into prevalence and correlates of individual PD diagnoses (eg, borderline vs paranoid PDs). Meta-analyses estimates suggest PD prevalence among veterans is likely much higher than observed in this study.17 Stigma continues to discourage clinicians from documenting and disclosing PD diagnoses even when warranted.27,28 Continued research should aim to clarify conditions (eg, patient presentation, stigma, or institutional culture) contributing to documentation of PD diagnoses. Given the cross-sectional nature of this study, results cannot speak to longitudinal treatment outcomes or prognosis of persons receiving a PD diagnosis.

Despite its large sample size and national representation, the sampling strategy of this study could have contributed to idiosyncrasies in the dataset. Restriction of data to the persons receiving state-funded mental health services introduces a notable bias to the composition of the sample, which is likely comprised of a disproportionately high number of Medicaid recipients, students, and individuals with chronic illnesses and underrepresentation of persons who pay for mental health services using private insurance or private pay arrangements. As such, although socioeconomic information was not provided within this dataset, one can presume a generally lower socioeconomic status among study participants compared to the community at large. This study also included a proportionally small sample of veterans (3.6% compared to about 6.2% in the broader US population), suggesting veterans may have been underrepresented or underidentified in surveyed mental health care settings.57 This study also did not include data around service in active-duty military, national guard, or military reserves; a greater proportion of the sample likely had a history of military service than was represented by veteran status designation. Further, the proportionally high sample of individuals with severe mental illness suggests a likely overrepresentation of such conditions in surveyed settings.

Institutional differences in the practice of assigning diagnoses likely limited statistical power to detect potentially meaningful associations and effects. Structural influences, such as stigma and institutional culture, may have notable effects on documentation practices, particularly for PDs. Future research should aim to replicate observed associations using more controlled diagnostic procedures.

Lastly, even with the use of a more conservative α and a focus on effect sizes to guide interpretation of results, use of multiple bivariate analyses can be presumed to have increased the likelihood of type I error. Given the limited prior research in this area, an exploratory approach to statistical analysis was considered warranted to maximize opportunity for identifying areas in need of additional empirical attention. Continued research using more conservative statistical approaches (eg, multivariate analyses) is needed to determine replicability and generalizability of observed results.

CONCLUSIONS

This study examined the prevalence and correlates of PD diagnoses in a national sample of veterans receiving community-based, state-funded mental health care. About 2% received a PD diagnosis, with diagnoses most common among veterans who were White, non-Hispanic, aged ≥ 45 years, also diagnosed with trauma-based, bipolar, and/or psychotic disorders, underemployed, nontraditionally housed, and receiving treatment in a state psychiatric hospital or judicial system setting. The results attest to a necessity for transdiagnostic treatment planning and care coordination for this population, with particular attention to psychosocial stressors.

Personality disorders (PDs) are enduring patterns of internal experience and behavior that differ from cultural norms and expectations, are inflexible and pervasive, have their onset in adolescence or early adulthood, and lead to distress or impairment. Ten PDs are included in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition): paranoid, schizoid, schizotypal, borderline, antisocial, histrionic, narcissistic, avoidant, dependent, and obsessive-compulsive.1 These disorders impose a high burden on patients, families, health care systems, and broader economic systems.2,3 Up to 1 in 7 persons in the community and 50% of those receiving outpatient mental health treatment experience a PD.4,5 These conditions are associated with an increased risk of adverse events, including suicide attempt and death by suicide, criminal-legal involvement, homelessness, substance use, underemployment, relational issues, and high utilization of psychiatric services.6-9 PDs are routinely underassessed, underdocumented, and undertreated in clinical settings, and consistently receive less research funding than other, less prevalent forms of psychopathology. 10-12 As a result, there is limited understanding of clinical needs of individuals experiencing PDs.

MILITARY VETERANS WITH PERSONALITY DISORDERS

Underacknowledgment of PDs and their associated difficulties may be especially pronounced in veteran populations. Due to longstanding etiological theories that implicate childhood trauma and adolescent onset in pathology development, PDs are traditionally considered pre-existing conditions or developmental abnormalities by the US Department of Defense and US Department of Veterans Affairs (VA). As a result, PDs are therefore deemed incompatible with military service and ineligible for service-connected disability benefits.13-15 Such determinations allowed PD pathology to be used as grounds for discharge for 26,000 service members from 2001 to 2007, or 2.6% of total enlisted discharges during that period.13,15,16

Despite this structural discrimination, recent research suggests veterans may be more likely to experience PD pathology than the general population.17 For example, a 2021 epidemiological survey in a community-based veteran sample found elevated rates of borderline, antisocial, and schizotypal PDs (6%-13%).6 In contrast, only 0.8% to 5.0% of veteran electronic health records (EHRs) have a documented PD diagnosis.8,18,19 Such elevations in PD pathology within veteran samples imply either a disproportionately high prevalence among enlistees (and therefore missed during recruitment procedures) or onset following military service, possibly due to exposure to traumatic events and/ or occupational stress.17 Due to the relative infancy of research in this area and a lack of longitudinal studies, etiology and course of illness for personality pathology in veterans remains largely unclear.

Structural underacknowledgment of PDs among military personnel has contributed to their underrepresentation in research on veteran populations. PD-focused research with veterans is rare, despite a rapid increase in broader empirical attention paid to these conditions in nonveteran samples.20 A recent meta-analysis of veterans with PDs identified 27 studies that included basic prevalence statistics. PDs were rarely a primary focus for these studies, and most were limited to veterans seen in Veterans Health Administration (VHA) settings.17 The literature also paints a bleak picture, suggesting veterans who experience PDs are at higher risk for suicide attempt and death by suicide, criminal-legal involvement, and homelessness. They also tend to experience more severe comorbid psychopathological symptoms and more often use high-intensity mental health services (eg, care within emergency departments or psychiatric inpatient settings) than veterans without PD pathology.6,8,18,19,21 However, PD pathology does not appear to impede the effectiveness of treatment for veterans.22-24 The implications of PD pathology on broader psychosocial functioning and health care needs certify a need for additional research that examines patterns of personality pathology, particularly in veterans outside the VHA.

METHODS

This study aims to enhance understanding of veterans affected by PDs and offer insight and guidance for treatment of these conditions in federal and nonfederal treatment settings. Previous research has been largely limited to VHA care-receiving samples; the longstanding stigma against PDs by the US military and VA may contribute to biased diagnosis and documentation of PDs in these settings. A large sample of veterans receiving community-based mental health care was therefore used to explore aims of the current study. This study specifically examined demographic patterns, diagnostic comorbidity, psychosocial outcomes, and treatment care settings among veterans with and without a PD diagnosis. Consistent with previous research, we hypothesized that veterans with a PD diagnosis would have more severe mental health comorbidities, poorer psychosocial outcomes, and receive care in higher intensity settings relative to veterans without a diagnosis.

Data for the sample were drawn from the Mental Health Client-Level Data, a publicly available national dataset of nearly 7 million patients who received mental health treatment services provided or funded through state mental health agencies in 2022.25 The analytic sample included about 2.5 million patients for whom veteran status and data around the presence or absence of a PD diagnosis were available. Of these patients, 104,198 were identified as veterans. Veteran patients were identified as predominantly male (63%), White (71%), non-Hispanic (90%), and never married (54%).

Measures

The parent dataset included demographic, clinical, and psychosocial outcome information reported by treatment facilities to individual state administrative systems for each patient who received services. To protect patient privacy, only nonprotected health information is included, and efforts were made throughout compilation of the parent dataset to ensure patient privacy (eg, limiting detail of information disseminated for public access). Because the parent dataset does not include protected health information, studies using these data are considered exempt from institutional review board oversight.

Demographic information. This study reviewed veteran status, sex, race, ethnicity, age, education, and marital status. Veteran status was defined by whether the patient was aged ≥ 18 years and had previously served (but was not currently serving) in the military. Patients with a history of service in the National Guard or Military Reserves were only classified as veterans if they had been called or ordered to active duty while serving. Sex was operationalized dichotomously as male or female; no patients were identified as intersex, transgender, or other gender identities.

Clinical information. Up to 3 mental health diagnoses were reported for each patient and included the following disorders: personality, trauma and attention-deficit/hyperactivity, stressor, anxiety, conduct, delirium/dementia, bipolar, depressive, oppositional defiant, pervasive developmental, schizophrenia or other psychotic, and alcohol or substance use. Mental health diagnosis categories were generated for the parent dataset by grouping diagnostic codes corresponding to each category. To protect patient privacy, more detailed diagnostic information was not available as part of the parent dataset. Although the American Psychiatric Association recognizes 10 distinct PDs, the exact nature of PD diagnoses was not included within the parent dataset. PD diagnoses were coded to reflect the presence or absence of any such diagnosis.

A substance use problem designation was also provided for patients according to various identification methods, including substance use disorder (SUD) diagnosis, substance use screening results, enrollment in a substance use program, substance use survey, service claims information, and other related sources of information. A severe mental illness or serious emotional disturbance designation was provided for patients meeting state definitions of these designations. Context(s) of service provision were coded as inpatient state psychiatric hospital, community-based program, residential treatment center, judicial institution, or other psychiatric inpatient setting.

Psychosocial outcome information. Patient employment and residential status were also included in analyses. Each reflected status at the time of discharge from services or end of reporting period; employment status was only provided for patients receiving treatment in community-based programs.

Data Analysis

Descriptive statistics and X2 analyses were used to compare demographic, clinical, and psychosocial outcome variables between patients with and without PD diagnoses. These analyses were calculated for both the 104,198 veterans and the 2,222,306 nonveterans aged ≥ 18 years in the dataset. Given the sample size, a conservative α of .01 was used to determine statistical significance.

RESULTS

In this sample of persons receiving state-funded mental health care, veterans were significantly less likely than nonveterans to have a documented PD diagnosis (2.1% vs 3.6%, X2 [1] = 647.49; P < .01). PD diagnoses were more common among White (risk ratio [RR], 1.11), non-Hispanic (RR, 1.03) veterans who were in middle to late adulthood (RR, 1.16-1.40), more educated (RR, 1.35), and divorced or widowed (RR, 1.43), and less common among Black/African American (RR, 0.78) or Puerto Rican (RR, 0.32) veterans who were in early adulthood (RR, 0.31-0.79), less educated (RR, 0.64-0.89), and currently married (RR, 0.89) or never married (RR, 0.86). Veteran men and women were equally likely to have a PD diagnosis (RR, 1.03) (Table 1). Among nonveterans, men were less likely than women to have a PD diagnosis (RR, 0.79), and PD diagnoses were most common among persons in middle adulthood (RR, 1.06-1.15) (eAppendix 1).

0425FED-MH-PD-012T10425FED-MH-PD-012_eA1

Veterans with a PD diagnosis were more likely than those without a diagnosis to have more diagnoses (RR, 2.96-8.49) and to have comorbid trauma or related stressor (RR, 1.33), or bipolar (RR, 1.56) or psychotic (RR, 1.15) disorder diagnoses, but less likely to have comorbid depressive disorder (RR, 0.82). Although veterans with and without a PD diagnosis were similarly likely to have a comorbid SUD (RR, 1.13), those with a PD diagnosis were significantly less likely to be assigned a substance use problem designation (RR, 0.78). PD diagnosis was also more common among veterans who received services in state psychiatric hospitals (RR, 3.05), community-based clinics (RR, 1.06), and judicial institutions (RR, 6.33) and less common among those who received services in other psychiatric inpatient settings (RR, 0.30). No differences were observed for residential treatment settings (RR, 0.79). Among nonveterans, a PD diagnosis was associated with slightly greater odds of a substance use designation (RR, 1.03) (eAppendix 2).

0425FED-MH-PD-012_eA2

Veterans with a PD diagnosis were also less likely to have full-time employment (RR, 0.73) and more likely to have undifferentiated employment (RR, 2.00) or to be removed from the labor force (RR, 1.35). Veterans with a PD diagnosis were also more likely to reside in nontraditional living conditions (RR, 1.42) and less likely to be residing in a private residence (RR, 0.98), compared with those without PD diagnosis. The rates of homelessness were similar for veterans with and without a PD diagnosis (RR, 0.90) (Table 2). These patterns were similar among nonveterans.

0425FED-MH-PD-012T2

DISCUSSION

This study examined the rate and correlates of PD diagnosis among a large, community-based sample of veterans receiving state-funded mental health care. About 2% of veterans in this sample had a PD diagnosis, with diagnoses more common among veterans who were White, non-Hispanic, aged ≥ 45 years, with higher education, divorced or widowed, also diagnosed with trauma-related, bipolar, and/or psychotic disorders, underemployed, nontraditionally housed, and receiving treatment in state psychiatric hospital, community-based clinic, or judicial system settings.

The observed rate of PD diagnosis in this study aligns with what is typically observed in VHA EHRs.8,18,19 However, the rate is notably lower than prevalence estimates for psychiatric outpatient settings (about 50%) and in meta-analyses of prevalence among veterans (0.8%-23% for each of the 10 PDs).4,17,26 Longstanding stigma against PDs may contribute to underdiagnosis. For example, many clinicians are concerned that documentation or disclosure of a PD will interfere with the patient’s ability to access treatment due to stigma and discrimination.27,28 These fears are not unfounded; even among clinicians, PDs are commonly considered untreatable, and many individuals with PDs are denied access to evidence-based treatments due to the diagnosis.29 In a 2016 survey of community psychiatrists, nearly 1 in 4 reported that they avoid taking patients with a borderline PD diagnosis in their caseloads.28 To date, no studies have been conducted to explore clinicians’ willingness to accept patients with other PDs or, specifically, among veterans.

Despite such widespread stigma, research suggests clinicians' negative attitudes toward PDs can be decreased through antistigma campaigns.30 However, it remains unclear if such efforts also contribute to an increase in clinicians’ willingness to document PD diagnoses. Without accurate identification and documentation, the field’s understanding of PDs will remain limited.

In the current study, veterans with PD diagnoses tended to present with more complex and severe psychiatric comorbidities compared to veterans without such diagnoses. Observed comorbidity of PDs (particularly borderline PD) with trauma-related and bipolar disorders is well established.8 Conversely, co-occurring personality and psychotic disorders—which comprise 16% of veterans with a PD diagnosis in the sample in this study—are not consistently examined in the literature. A 2022 examination of veterans receiving VHA care suggested 12% and 13% of those with a PD diagnosis documented in their EHR also had documented schizophrenia or another psychotic disorder, respectively. PD diagnoses were associated with 6.88- and 9.80-fold increases in risk for comorbid schizophrenia and other psychotic disorder diagnoses, respectively.8 Similarly, a recent longitudinal study of nearly 2 million Swedish individuals suggested borderline PD is specifically associated with a > 24-times greater risk of having a comorbid psychotic disorder.31 It is therefore possible that the comorbidity between personality and psychotic disorders is quite common despite its relative lack of attention in empirical research.

Veterans with PD diagnoses in this study were also more likely to experience substandard housing, employment challenges, and receive treatment through judicial institutions than those without a PD diagnosis. Such findings are consistent with previous research demonstrating the substantial psychosocial challenges associated with PD diagnosis, even after controlling for comorbid conditions.7,9 Veterans with PDs may benefit from specialized case management and support to facilitate stable housing and employment and to mitigate the risk of judicial involvement. Some research suggests veterans with PDs may be less likely to gain competitive employment after participating in VA therapeutic and supportive employment services programs, suggesting standard programming may be less suitable for this population.32 Similarly, other research suggests individuals with PDs may benefit more from specialized, intensive services than standard clinical case management.33 Future research may therefore benefit from clarifying the degree to which adaptations to standard programming could yield beneficial effects for persons with PD diagnoses.

Implications

Cumulatively, the results of this study attest to the necessity for transdiagnostic treatment planning that includes close collaboration between psychotherapeutic, pharmacological, and case management services. Some psychotherapy models for PDs, such as dialectical behavior therapy (DBT), which includes a combination of group skills training, individual therapy, as-needed phone coaching, and therapist consultation, may be successfully adapted to include this collaboration.34-36 However, implementation of such comprehensive programming often requires extensive clinician training and coordination of resources, which poses implementation challenges.37-39 In 2021, the VHA began large-scale implementation of PD-specific psychotherapy for veterans with recent suicidal self-directed violence and borderline PD, including DBT, though to date results remain unclear.40 Generalist approaches, such as good psychiatric management (GPM), which emphasizes emotional validation, practical problem solving, realistic goal setting, and relationship functioning within the context of standard care appointments, may be more easily implemented in community care settings due to lesser training and resource requirements and can also be adapted to include needed elements of care coordination.41,42 Both DBT and GPM were initially developed for the treatment of borderline PD. Although DBT has also demonstrated some effectiveness in the treatment of antisocial PD, potential applications of DBT and GPM to other PDs remain largely underdeveloped.43-46

There are no widely accepted medications for the treatment of PDs. Pharmacotherapy for these conditions typically consists of individualized approaches informed by personal experience that attempt to balance targeting of specific symptoms while minimizing polypharmacy and potential risks (eg, overdose or addiction).47,48 Despite this, pharmacotherapy is often considered a necessary component in the treatment of bipolar and psychotic disorders, both common comorbidities of PDs found in veterans in this study.49,50 Careful consideration of complex comorbidities and pharmacotherapy needs is warranted in the treatment of veterans with PDs. Future research may benefit from clarifying clinical guidelines around pharmacotherapy, particularly for observed comorbidities of PDs to trauma, bipolar, and psychotic disorders.

It is important to note the discrepancies in the results of this study surrounding patient substance use. The results suggest a negligible or inverse association between the likelihood of a PD diagnosis and difficulties with substance use among the veterans in this study. However, the unexpectedly low rate of SUD diagnoses (< 6%) suggests that they were likely underdocumented. Research suggests a strong association between personality and SUDs in both veteran and civilian samples.6,51 Results suggesting a lower prevalence of substance use difficulties among treatment-seeking veterans with PDs should be interpreted with great caution.

Demographically, PD diagnoses were more common among veterans who were White, non-Hispanic, and aged ≥ 45 years, and less common among veterans who were Black/ African American, mixed/unspecified race, Puerto Rican or other non-Mexican Hispanic ethnicity, or aged < 35 years. No significant sex-based differences were observed. These patterns are consistent with research suggesting individuals who identify as Black may be less likely than individuals who identify as White to report PD symptoms, meet criteria for a PD, and have a PD diagnosed even when it is warranted.52

The findings observed in this study with respect to age, however, are notably inconsistent with the literature. Previous research typically suggests a negative association between age and PD pathology; however, a 2020 review of PDs in older adults by Penders et al suggests a prevalence of 11% to 15% in this population.53,54 Research into PDs most often focuses on adolescent and early adulthood developmental periods, limiting insight into the phenomenology of PDs in middle to late adulthood.55 Further, most research into PDs among geriatric populations has focused on psychometric assessment rather than practical treatment guidance.54 However, in this study, elevated risk for PD diagnoses was salient throughout middle to late adulthood among veterans; similar, albeit less pronounced patterns were also observed for elevated risk of PD diagnosis in middle adulthood among nonveterans. Such findings suggest clarifying the phenomenology and treatment needs of individuals with PDs in middle to late adulthood may have particularly salient implications for the mental health care of veterans affected by these conditions. As the veteran population advances in age, these needs will present unique challenges if health care systems are unprepared to effectively address them.

Limitations

This study is characterized by several strengths, most notably its use of a large dataset recently collected on a national scale. Few studies outside of the VHA system include samples of > 100,000 treatment-seeking veterans collected on a national scale. Nevertheless, results should be understood within the context of several methodological limitations. However, the dataset was limited to the first 3 diagnoses documented in patients’ EHRs, and many patients had no listed diagnoses. Patients with complex comorbidities may have > 3 diagnoses; for these individuals, data provided an incomplete picture of clinical presentation. This is especially relevant for individuals with PDs, who tend to meet criteria for a range of comorbid conditions.8,10 The now dated practice of listing PDs on Axis II also increases the chance of clinicians listing PDs after conditions traditionally listed on Axis I (eg, major depressive disorder) in patient charts.56 This study’s inclusion of only the first 3 listed diagnoses likely underestimated true PD diagnosis prevalence.

The results of this study must be interpreted as reflecting the prevalence and correlates of receiving a PD diagnosis rather than meeting diagnostic criteria for a PD. Relatedly, PD diagnoses were reported as a single construct, limiting insight into prevalence and correlates of individual PD diagnoses (eg, borderline vs paranoid PDs). Meta-analyses estimates suggest PD prevalence among veterans is likely much higher than observed in this study.17 Stigma continues to discourage clinicians from documenting and disclosing PD diagnoses even when warranted.27,28 Continued research should aim to clarify conditions (eg, patient presentation, stigma, or institutional culture) contributing to documentation of PD diagnoses. Given the cross-sectional nature of this study, results cannot speak to longitudinal treatment outcomes or prognosis of persons receiving a PD diagnosis.

Despite its large sample size and national representation, the sampling strategy of this study could have contributed to idiosyncrasies in the dataset. Restriction of data to the persons receiving state-funded mental health services introduces a notable bias to the composition of the sample, which is likely comprised of a disproportionately high number of Medicaid recipients, students, and individuals with chronic illnesses and underrepresentation of persons who pay for mental health services using private insurance or private pay arrangements. As such, although socioeconomic information was not provided within this dataset, one can presume a generally lower socioeconomic status among study participants compared to the community at large. This study also included a proportionally small sample of veterans (3.6% compared to about 6.2% in the broader US population), suggesting veterans may have been underrepresented or underidentified in surveyed mental health care settings.57 This study also did not include data around service in active-duty military, national guard, or military reserves; a greater proportion of the sample likely had a history of military service than was represented by veteran status designation. Further, the proportionally high sample of individuals with severe mental illness suggests a likely overrepresentation of such conditions in surveyed settings.

Institutional differences in the practice of assigning diagnoses likely limited statistical power to detect potentially meaningful associations and effects. Structural influences, such as stigma and institutional culture, may have notable effects on documentation practices, particularly for PDs. Future research should aim to replicate observed associations using more controlled diagnostic procedures.

Lastly, even with the use of a more conservative α and a focus on effect sizes to guide interpretation of results, use of multiple bivariate analyses can be presumed to have increased the likelihood of type I error. Given the limited prior research in this area, an exploratory approach to statistical analysis was considered warranted to maximize opportunity for identifying areas in need of additional empirical attention. Continued research using more conservative statistical approaches (eg, multivariate analyses) is needed to determine replicability and generalizability of observed results.

CONCLUSIONS

This study examined the prevalence and correlates of PD diagnoses in a national sample of veterans receiving community-based, state-funded mental health care. About 2% received a PD diagnosis, with diagnoses most common among veterans who were White, non-Hispanic, aged ≥ 45 years, also diagnosed with trauma-based, bipolar, and/or psychotic disorders, underemployed, nontraditionally housed, and receiving treatment in a state psychiatric hospital or judicial system setting. The results attest to a necessity for transdiagnostic treatment planning and care coordination for this population, with particular attention to psychosocial stressors.

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  19. McCarthy JF, Bossarte RM, Katz IR, et al. Predictive modeling and concentration of the risk of suicide: implications for preventive interventions in the US Department of Veterans Affairs. Am J Public Health. 2015;105(9):1935-1942. doi:10.2105/AJPH.2015.302737
  20. Liu Y, Chen C, Zhou Y, Zhang N, Liu S. Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends. Front Psych. 2024;15:1361535. doi:10.3389/ fpsyt.2024.1361535
  21. Williams R, Holliday R, Clem M, Anderson E, Morris EE, Surís A. Borderline personality disorder and military sexual trauma: analysis of previous traumatization and current psychiatric presentation. J Interpers Violence. 2017;32(15):2223-2236. doi:10.1177/0886260515596149
  22. Holder N, Holliday R, Pai A, Surís A. Role of borderline personality disorder in the treatment of military sexual trauma-related posttraumatic stress disorder with cognitive processing therapy. Behav Med. 2017;43(3):184-190. doi:10.1080/08964289.2016.1276430
  23. Ralevski E, Ball S, Nich C, Limoncelli D, Petrakis I. The impact of personality disorders on alcohol-use outcomes in a pharmacotherapy trial for alcohol dependence and comorbid Axis I disorders. Am J Addict. 2007;16(6):443- 449. doi:10.1080/10550490701643336
  24. Walter KH, Bolte TA, Owens GP, Chard KM. The impact of personality disorders on treatment outcome for veterans in a posttraumatic stress disorder residential treatment program. Cognit Ther Res. 2012;36(5):576-584. doi:10.1007/s10608-011-9393-8
  25. Substance Abuse and Mental Health Services. Mental health client-level data (MH-CLD), 2022. Accessed February 28, 2025. https://www.datafiles.samhsa.gov/dataset/mental-health-client-level-data-2022-mh-cld-2022-ds0001
  26. Zimmerman M, Rothschild L, Chelminski I. The prevalence of DSM-IV personality disorders in psychiatric outpatients. Am J Psychiatry. 2005;162(10):1911-1918. doi:10.1176/appi.ajp.162.10.1911
  27. Campbell K, Clarke KA, Massey D, Lakeman R. Borderline personality disorder: To diagnose or not to diagnose? That is the question. Int J Mental Health Nurs. 2020;29(5):972-981. doi:10.1111/inm.12737
  28. Sisti D, Segal AG, Siegel AM, Johnson R, Gunderson J. Diagnosing, disclosing, and documenting borderline personality disorder: a survey of psychiatrists’ practices. J Pers Disord. 2016;30(6):848-856. doi:10.1521/ pedi_2015_29_228
  29. Klein P, Fairweather AK, Lawn S. Structural stigma and its impact on healthcare for borderline personality disorder: a scoping review. Int J Ment Health Syst. 2022;16(1):48. doi:10.1186/s13033-022-00558-3
  30. Knaak S, Szeto AC, Fitch K, Modgill G, Patten S. Stigma towards borderline personality disorder: effectiveness and generalizability of an anti-stigma program for healthcare providers using a pre-post randomized design. Borderline Personal Disord Emot Dysregul. 2015;2:9. doi:10.1186/s40479-015-0030-0
  31. Tate AE, Sahlin H, Liu S, et al. Borderline personality disorder: associations with psychiatric disorders, somatic illnesses, trauma, and adverse behaviors. Mol Psychiatry. 2022;27:2514-2521. doi:10.1038/s41380- 022-01503-z
  32. Abraham KM, Yosef M, Resnick SG, Zivin K. Competitive employment outcomes among veterans in VHA Therapeutic and Supported Employment Services programs. Psychiatr Serv. 2017;68(9)938-946. doi:10.1176/appi. ps201600412
  33. Frisman LK, Mueser KT, Covell NH, et al. Use of integrated dual disorder treatment via Assertive Community Treatment versus clinical case management for persons with co-occurring disorders and antisocial personality disorder. J Nerv Ment Dis. 2009;197(11):822-828. doi:10.1097/NMD.0b013e3181beac52
  34. Edwards ER, Kober H, Rinne GR, Griffin SA, Axelrod S, Cooney EB. Skills]homework completion and phone coaching as predictors of therapeutic change and outcomes in completers of a DBT intensive outpatient programme. Psychol Psychother. 2021;94(3):504-522. doi:10.1111/papt.12325
  35. Linehan MM, Dimeff LA, Reynolds SK, et al. Dialectical behavior therapy versus comprehensive validation therapy plus 12-step for the treatment of opioid dependent women meeting criteria for borderline personality disorder. Drug Alcohol Depend. 2002;67(1):13-26. doi:10.1016/s0376-8716(02)00011-x
  36. Linehan MM, Korslund KE, Harned MS, et al. Dialectical behavior therapy for high suicide risk in individuals with borderline personality disorder: a randomized clinical trial and component analysis. JAMA Psychiatry. 2015;72(5):475-482.doi:10.1001 /jamapsychiatry.2014.3039
  37. Carmel A, Rose ML, Fruzzetti AE. Barriers and solutions to implementing dialectical behavior therapy in a public behavioral health system. Adm Policy Ment Health. 2014;41(5):608-614. doi:10.1007/s10488-013-0504-6
  38. Decker SE, Matthieu MM, Smith BN, Landes SJ. Barriers and facilitators to dialectical behavior therapy skills groups in the Veterans Health Administration. Mil Med. 2024;189(5-6):1055-1063. doi:10.1093/milmed/ usad123
  39. Landes SJ, Rodriguez AL, Smith BN, et al. Barriers, facilitators, and benefits of implementation of dialectical behavior therapy in routine care: results from a national program evaluation survey in the Veterans Health Administration. Transl Behav Med. 2017;7(4):832-844. doi:10.1007/s13142-017-0465-5
  40. Walker J, Betthauser LM, Green K, Landes SJ, Stacy M. Suicide Prevention 2.0 Clinical Telehealth Program: Evidence- Based Treatment in the Veterans Health Administration. April 28, 2024. Accessed February 28, 2025. https://www.youtube.com/watch?v=fFsDzkg0SR0
  41. Gunderson J, Masland S, Choi-Kain L. Good psychiatric management: a review. Curr Opin Psychol. 2018;21:127- 131. doi:10.1016/j.copsyc.2017.12.006
  42. Kramer U. Good-enough therapy: a review of the empirical basis of good psychiatric management. Am J Psychother. 2025;78(1): 11-15. doi:10.1176/appi .psychotherapy.20230041
  43. Visdómine-Lozano JC. Contextualist perspectives in the treatment of antisocial behaviors and offending: a comparative review of FAP, ACT, DBT, and MDT. Trauma Violence Abuse. 2022;23(1):241-254. doi:10.1177/1524838020939509
  44. Drago A, Marogna C, Jørgen Søgaard H. A review of characteristics and treatments of the avoidant personality disorder. Could the DBT be an option? Int J Psychol Psychoanal. 2016;2(1):013.
  45. Finch EF, Choi-Kain LW, Iliakis EA, Eisen JL, Pinto A. Good psychiatric management for obsessive–compulsive personality disorder. Curr Behav Neurosci Rep. 2021;8:160-171. doi:10.1007/s40473-021-00239-4
  46. Miller TW, Kraus RF. Modified dialectical behavior therapy and problem solving for obsessive-compulsive personality disorder. Journal Contemp Psychother. 2007;37:79-85. doi:10.1007/s10879-006-9039-4
  47. Bozzatello P, Rocca P, De Rosa ML, Bellino S. Current and emerging medications for borderline personality disorder: is pharmacotherapy alone enough? Expert Opin Pharmacother. 2020;21(1):47-61.doi:10.1080/14656566 .2019.1686482
  48. Sand P, Derviososki E, Kollia S, Strand J, Di Leone F. Psychiatrists’ perspectives on prescription decisions for patients with personality disorders. J Pers Disord. 2024;38(3):225-240. doi:10.1521/pedi.2024.38.3.225
  49. Kane JM, Leucht S, Carpenter D, Docherty JP; Expert Consensus Panel for Optimizing Pharmacologic Treatment of Psychotic Disorders. The expert consensus guideline series. Optimizing pharmacologic treatment of psychotic disorders. Introduction: Methods, commentary, and summary. J Clin Psychiatry. 2003;64 Suppl 12:5-19.
  50. Nierenberg AA, Agustini B, Köhler-Forsberg O, et al. Diagnosis and treatment of bipolar disorder: a review. JAMA. 2023;330(14):1370-1380. doi:10.1001 /jama.2023.18588
  51. Köck P, Walter M. Personality disorder and substance use disorder–an update. Ment Health Prev. 2018;12:82- 89. doi:10.1016/J.MHP.2018.10.003
  52. Garb HN. Race bias and gender bias in the diagnosis of psychological disorders. Clin Psych Rev. 2021;90:102087. doi:10.1016/j.cpr.2021.102087
  53. Debast I, van Alphen SPJ, Rossi G, et al. Personality traits and personality disorders in late middle and old age: do they remain stable? A literature review. Clin Gerontol. 2014;37(3):253-271.doi:10.1080/07317115 .2014.885917
  54. Penders KAP, Peeters IGP, Metsemakers JFM, van Alphen SPJ. Personality disorders in older adults: a review of epidemiology, assessment, and treatment. Curr Psychiatry Rep. 2020;22(3):1-14. doi:10.1007/s11920-020- 1133-x
  55. Videler AC, Hutsebaut J, Schulkens JEM, Sobczak S, van Alphen SPJ. A life span perspective on borderline personality disorder. Curr Psychiatry Rep. 2019;21(7) :1-8. doi:10.1007/s11920-019-1040-1
  56. Wakefield JC. DSM-5 and the general definition of personality disorder. Clin Soc Work J. 2013;41(2):168-183. doi:10.1007/s10615-012-0402-5
  57. US Census Bureau. 2022 American Community Survey 1-year. Accessed February 28, 2025. https://data.census.gov/table/ACSST1Y2022.S2101?q=Veterans&y=2022comparison
References
  1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed, text revision. American Psychiatric Association; 2022.
  2. Hastrup LH, Jennum P, Ibsen R, Kjellberg J, Simonsen E. Societal costs of borderline personality disorders: a matched-controlled nationwide study of patients and spouses. Acta Psychiatr Scand. 2019;140(5):458-467. doi:10.1111/acps.13094
  3. Sveen CA, Pedersen G, Ulvestad DA, Zahl KE, Wilberg T, Kvarstein EH. Societal costs of personality disorders: a cross-sectional multicenter study of treatment-seeking patients in mental health services in Norway. J Clin Psychol. 2023;79(8):1752-1769. doi:10.1002/jclp.23504
  4. Beckwith H, Moran PF, Reilly J. Personality disorder prevalence in psychiatric outpatients: a systematic literature review. Personal Ment Health. 2014;8(2):91-101. doi:10.1002/pmh.1252
  5. Eaton NR, Greene AL. Personality disorders: community prevalence and socio-demographic correlates. Curr Opin Psychol. 2018;21:28-32. doi:10.1016/j.copsyc. 2017.09.001
  6. Edwards ER, Barnes S, Govindarajulu U, Geraci J, Tsai J. Mental health and substance use patterns associated with lifetime suicide attempt, incarceration, and homelessness: a latent class analysis of a nationally representative sample of U.S. veterans. Psychol Serv. 2021;18(4):619-631. doi:10.1037/ser0000488
  7. Moran P, Romaniuk H, Coffey C, et al. The influence of personality disorder on the future mental health and social adjustment of young adults: a population-based cohort study. Lancet Psychiatry. 2016;3(7):636-645. doi:10.1016/S2215-0366(16)30029-3
  8. Nelson SM, Griffin CA, Hein TC, Bowersox N, McCarthy JF. Personality disorder and suicide risk among patients in the Veterans Affairs health system. Personal Disord. 2022;13(6):563-571. doi:10.1037/per0000521
  9. Skodol AE. Impact of personality pathology on psychosocial functioning. Curr Opin Psychol. 2018;21;33-38. doi:10.1016/j.copsyc.2017.09.006
  10. Tyrer P, Reed GM, Crawford MJ. Classification, assessment, prevalence, and effect of personality disorder. Lancet. 2015;385(9969):717-726. doi:10.1016/S0140-6736(14)61995-4
  11. Fitzpatrick S, Goss S, Di Bartolomeo A, Varma S, Tissera T, Earle E. Follow the money: is borderline personality disorder research underfunded in Canada? Can Psychol. 2024;65(1):46-57. doi:10.1037/cap0000375
  12. Zimmerman M, Gazarian D. Is research on borderline personality disorder underfunded by the National Institute of Health? Psychiatry Res. 2014;220(3):941-944. doi:10.1016/j.psychres.2014.09.021
  13. Leroux TC. U.S. military discharges and pre-existing personality disorders: a health policy review. Adm Policy Ment Health. 2015;42(6):748-755. doi:10.1007/s10488-014-0611-z
  14. Monahan MC, Keener JK. Fitness-for-duty evaluations. In Kennedy CH, Zillmer EA, eds. Military Psychology: Clinical and Operational Applications. 2nd ed. Guilford Publications; 2012:25-49.
  15. Hearing Before the Committee on Veterans’ Affairs, 111th Congress 2nd Sess (2010). Personality disorder discharges: impact on veterans benefits. Accessed March 4, 2025. https://www.govinfo.gov/content/pkg/CHRG-111hhrg61755/html/CHRG-111hhrg61755.htm
  16. Ader M, Cuthbert R, Hoechst K, Simon EH, Strassburger Z, Wishnie M. Casting troops aside: the United States military’s illegal personality disorder discharge problem. Vietnam Veterans of America. March 2012. Accessed February 28, 2025. https://law.yale.edu/sites/default/files/documents/pdf/Clinics/VLSC_CastingTroopsAside.pdf
  17. Edwards ER, Tran H, Wrobleski J, Rabhan Y, Yin J, Chiodi C, Goodman M, Geraci J. Prevalence of personality disorders across veteran samples: A meta-analysis. J Pers Disord. 2022;36(3):339-358. doi:10.1521/ pedi.2022.36.3.339
  18. Holliday R, Desai A, Edwards E, Borges L. Personal i ty disorder diagnosis among just ice -involved veterans: an investigation of VA-using veterans. J Nerv Ment Dis. 2023;211(5):402-406 doi:10.1097/ NMD.0000000000001627
  19. McCarthy JF, Bossarte RM, Katz IR, et al. Predictive modeling and concentration of the risk of suicide: implications for preventive interventions in the US Department of Veterans Affairs. Am J Public Health. 2015;105(9):1935-1942. doi:10.2105/AJPH.2015.302737
  20. Liu Y, Chen C, Zhou Y, Zhang N, Liu S. Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends. Front Psych. 2024;15:1361535. doi:10.3389/ fpsyt.2024.1361535
  21. Williams R, Holliday R, Clem M, Anderson E, Morris EE, Surís A. Borderline personality disorder and military sexual trauma: analysis of previous traumatization and current psychiatric presentation. J Interpers Violence. 2017;32(15):2223-2236. doi:10.1177/0886260515596149
  22. Holder N, Holliday R, Pai A, Surís A. Role of borderline personality disorder in the treatment of military sexual trauma-related posttraumatic stress disorder with cognitive processing therapy. Behav Med. 2017;43(3):184-190. doi:10.1080/08964289.2016.1276430
  23. Ralevski E, Ball S, Nich C, Limoncelli D, Petrakis I. The impact of personality disorders on alcohol-use outcomes in a pharmacotherapy trial for alcohol dependence and comorbid Axis I disorders. Am J Addict. 2007;16(6):443- 449. doi:10.1080/10550490701643336
  24. Walter KH, Bolte TA, Owens GP, Chard KM. The impact of personality disorders on treatment outcome for veterans in a posttraumatic stress disorder residential treatment program. Cognit Ther Res. 2012;36(5):576-584. doi:10.1007/s10608-011-9393-8
  25. Substance Abuse and Mental Health Services. Mental health client-level data (MH-CLD), 2022. Accessed February 28, 2025. https://www.datafiles.samhsa.gov/dataset/mental-health-client-level-data-2022-mh-cld-2022-ds0001
  26. Zimmerman M, Rothschild L, Chelminski I. The prevalence of DSM-IV personality disorders in psychiatric outpatients. Am J Psychiatry. 2005;162(10):1911-1918. doi:10.1176/appi.ajp.162.10.1911
  27. Campbell K, Clarke KA, Massey D, Lakeman R. Borderline personality disorder: To diagnose or not to diagnose? That is the question. Int J Mental Health Nurs. 2020;29(5):972-981. doi:10.1111/inm.12737
  28. Sisti D, Segal AG, Siegel AM, Johnson R, Gunderson J. Diagnosing, disclosing, and documenting borderline personality disorder: a survey of psychiatrists’ practices. J Pers Disord. 2016;30(6):848-856. doi:10.1521/ pedi_2015_29_228
  29. Klein P, Fairweather AK, Lawn S. Structural stigma and its impact on healthcare for borderline personality disorder: a scoping review. Int J Ment Health Syst. 2022;16(1):48. doi:10.1186/s13033-022-00558-3
  30. Knaak S, Szeto AC, Fitch K, Modgill G, Patten S. Stigma towards borderline personality disorder: effectiveness and generalizability of an anti-stigma program for healthcare providers using a pre-post randomized design. Borderline Personal Disord Emot Dysregul. 2015;2:9. doi:10.1186/s40479-015-0030-0
  31. Tate AE, Sahlin H, Liu S, et al. Borderline personality disorder: associations with psychiatric disorders, somatic illnesses, trauma, and adverse behaviors. Mol Psychiatry. 2022;27:2514-2521. doi:10.1038/s41380- 022-01503-z
  32. Abraham KM, Yosef M, Resnick SG, Zivin K. Competitive employment outcomes among veterans in VHA Therapeutic and Supported Employment Services programs. Psychiatr Serv. 2017;68(9)938-946. doi:10.1176/appi. ps201600412
  33. Frisman LK, Mueser KT, Covell NH, et al. Use of integrated dual disorder treatment via Assertive Community Treatment versus clinical case management for persons with co-occurring disorders and antisocial personality disorder. J Nerv Ment Dis. 2009;197(11):822-828. doi:10.1097/NMD.0b013e3181beac52
  34. Edwards ER, Kober H, Rinne GR, Griffin SA, Axelrod S, Cooney EB. Skills]homework completion and phone coaching as predictors of therapeutic change and outcomes in completers of a DBT intensive outpatient programme. Psychol Psychother. 2021;94(3):504-522. doi:10.1111/papt.12325
  35. Linehan MM, Dimeff LA, Reynolds SK, et al. Dialectical behavior therapy versus comprehensive validation therapy plus 12-step for the treatment of opioid dependent women meeting criteria for borderline personality disorder. Drug Alcohol Depend. 2002;67(1):13-26. doi:10.1016/s0376-8716(02)00011-x
  36. Linehan MM, Korslund KE, Harned MS, et al. Dialectical behavior therapy for high suicide risk in individuals with borderline personality disorder: a randomized clinical trial and component analysis. JAMA Psychiatry. 2015;72(5):475-482.doi:10.1001 /jamapsychiatry.2014.3039
  37. Carmel A, Rose ML, Fruzzetti AE. Barriers and solutions to implementing dialectical behavior therapy in a public behavioral health system. Adm Policy Ment Health. 2014;41(5):608-614. doi:10.1007/s10488-013-0504-6
  38. Decker SE, Matthieu MM, Smith BN, Landes SJ. Barriers and facilitators to dialectical behavior therapy skills groups in the Veterans Health Administration. Mil Med. 2024;189(5-6):1055-1063. doi:10.1093/milmed/ usad123
  39. Landes SJ, Rodriguez AL, Smith BN, et al. Barriers, facilitators, and benefits of implementation of dialectical behavior therapy in routine care: results from a national program evaluation survey in the Veterans Health Administration. Transl Behav Med. 2017;7(4):832-844. doi:10.1007/s13142-017-0465-5
  40. Walker J, Betthauser LM, Green K, Landes SJ, Stacy M. Suicide Prevention 2.0 Clinical Telehealth Program: Evidence- Based Treatment in the Veterans Health Administration. April 28, 2024. Accessed February 28, 2025. https://www.youtube.com/watch?v=fFsDzkg0SR0
  41. Gunderson J, Masland S, Choi-Kain L. Good psychiatric management: a review. Curr Opin Psychol. 2018;21:127- 131. doi:10.1016/j.copsyc.2017.12.006
  42. Kramer U. Good-enough therapy: a review of the empirical basis of good psychiatric management. Am J Psychother. 2025;78(1): 11-15. doi:10.1176/appi .psychotherapy.20230041
  43. Visdómine-Lozano JC. Contextualist perspectives in the treatment of antisocial behaviors and offending: a comparative review of FAP, ACT, DBT, and MDT. Trauma Violence Abuse. 2022;23(1):241-254. doi:10.1177/1524838020939509
  44. Drago A, Marogna C, Jørgen Søgaard H. A review of characteristics and treatments of the avoidant personality disorder. Could the DBT be an option? Int J Psychol Psychoanal. 2016;2(1):013.
  45. Finch EF, Choi-Kain LW, Iliakis EA, Eisen JL, Pinto A. Good psychiatric management for obsessive–compulsive personality disorder. Curr Behav Neurosci Rep. 2021;8:160-171. doi:10.1007/s40473-021-00239-4
  46. Miller TW, Kraus RF. Modified dialectical behavior therapy and problem solving for obsessive-compulsive personality disorder. Journal Contemp Psychother. 2007;37:79-85. doi:10.1007/s10879-006-9039-4
  47. Bozzatello P, Rocca P, De Rosa ML, Bellino S. Current and emerging medications for borderline personality disorder: is pharmacotherapy alone enough? Expert Opin Pharmacother. 2020;21(1):47-61.doi:10.1080/14656566 .2019.1686482
  48. Sand P, Derviososki E, Kollia S, Strand J, Di Leone F. Psychiatrists’ perspectives on prescription decisions for patients with personality disorders. J Pers Disord. 2024;38(3):225-240. doi:10.1521/pedi.2024.38.3.225
  49. Kane JM, Leucht S, Carpenter D, Docherty JP; Expert Consensus Panel for Optimizing Pharmacologic Treatment of Psychotic Disorders. The expert consensus guideline series. Optimizing pharmacologic treatment of psychotic disorders. Introduction: Methods, commentary, and summary. J Clin Psychiatry. 2003;64 Suppl 12:5-19.
  50. Nierenberg AA, Agustini B, Köhler-Forsberg O, et al. Diagnosis and treatment of bipolar disorder: a review. JAMA. 2023;330(14):1370-1380. doi:10.1001 /jama.2023.18588
  51. Köck P, Walter M. Personality disorder and substance use disorder–an update. Ment Health Prev. 2018;12:82- 89. doi:10.1016/J.MHP.2018.10.003
  52. Garb HN. Race bias and gender bias in the diagnosis of psychological disorders. Clin Psych Rev. 2021;90:102087. doi:10.1016/j.cpr.2021.102087
  53. Debast I, van Alphen SPJ, Rossi G, et al. Personality traits and personality disorders in late middle and old age: do they remain stable? A literature review. Clin Gerontol. 2014;37(3):253-271.doi:10.1080/07317115 .2014.885917
  54. Penders KAP, Peeters IGP, Metsemakers JFM, van Alphen SPJ. Personality disorders in older adults: a review of epidemiology, assessment, and treatment. Curr Psychiatry Rep. 2020;22(3):1-14. doi:10.1007/s11920-020- 1133-x
  55. Videler AC, Hutsebaut J, Schulkens JEM, Sobczak S, van Alphen SPJ. A life span perspective on borderline personality disorder. Curr Psychiatry Rep. 2019;21(7) :1-8. doi:10.1007/s11920-019-1040-1
  56. Wakefield JC. DSM-5 and the general definition of personality disorder. Clin Soc Work J. 2013;41(2):168-183. doi:10.1007/s10615-012-0402-5
  57. US Census Bureau. 2022 American Community Survey 1-year. Accessed February 28, 2025. https://data.census.gov/table/ACSST1Y2022.S2101?q=Veterans&y=2022comparison
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Needs of Veterans With Personality Disorder Diagnoses in Community-Based Mental Health Care

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Accelerated Prolonged Exposure Therapy for Posttraumatic Stress Disorder in a Veterans Health Administration System

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Accelerated Prolonged Exposure Therapy for Posttraumatic Stress Disorder in a Veterans Health Administration System

Evidence-based psychotherapy (EBP) for posttraumatic stress disorder (PTSD), such as prolonged exposure (PE), is supported by multiple clinical practice guidelines and is expected to be available to veterans served by the Veterans Health Administration (VHA).1-5 However, traditional models of EBP delivery with 1 or 2 sessions weekly have high dropout rates.6,7 Few veterans who could benefit from such EBPs receive them, and those who do have low completion rates.8,9 Over a 15-year period, VHA records review of > 265,500 veterans with PTSD showed only 9.1% completed EBP treatment that included but was not limited to PE.10

One empirically supported solution that has yet to be widely implemented is delivering EBPs for PTSD in a massed or accelerated format of ≥ 3 sessions weekly.11 While these massed models of EBP delivery for PTSD are promising, their implementation is limited in federal health care settings, such as the VHA.12 PE therapy is a first-line treatment for PTSD that has been evaluated in numerous clinical trials since the early 1990s and in a wide range of trauma populations.13,14 Massed PE is effective and PE has been found to be effective both in-person and via telehealth.11,15,16

Another approach to accelerated PE is the inclusion of a massed PE course within a broader treatment context that includes augmentation of the massed PE with additional services, this is referred to as an intensive outpatient model (IOP).17 PE-IOP has also been shown to be feasible, acceptable, and effective with increased completion rates in comparison to the traditional (1 or 2 sessions weekly) model of PE.12,16,18,19 Ragsdale et al describe a 2-week IOP with multiple treatment tracks, including a PTSD track. The PTSD treatment track includes massed PE and additional standard services including case management, wellness services, family services, and a single session effective behaviors group. Additional augmentation services are available when clinically indicated (eg, repetitive transcranial magnetic stimulation, transcranial direct current stimulation treatment, psychoeducation, motivational interviewing, and/or relapse prevention).17

Rauch et al studied the first 80 patients completing an IOP program that consisted of PE (5 sessions weekly) and complementary interventions (eg, mindfulness and yoga) and reported a 96% retention rate, significant reductions of self-reported PTSD symptoms, significant reduction in self-reported co-occurring depression symptoms, and significant increase in self-reported satisfaction with social functioning. 18 In another study, Sherril et al explored patient reactions to participation in massed PE (5 sessions weekly) and found that patients reported significantly more positive than negative reactions. Sherrill et al noted that according to patients, the benefits of massed PE included a structured format that limits avoidance and distraction. The resulting fast pace of progress enhanced motivation; however, drawbacks included short-term discomfort and time demands.19 Yamokoski et al explored the feasibility of massed PE in a larger study of PTSD treatment in an intensive outpatient track (IOT) in a VHA PTSD clinic with minimal staffing. The 48 patients who completed IOT PTSD treatment in 2 or 4 weeks (including 35 patients who received massed PE) had high retention rates (85%), reported high satisfaction, and had significantly reduced PTSD and depression symptoms.12

The massed IOT PE model implemented by Yamokoski et al included the primary EBP intervention of massed PE with adjunctive groups. The addition of these groups increased both retention and patient-reported satisfaction. The PE-IOP model implemented by Rauch et al and Sherrill et al also included wellness and educational groups, as well as access to complementary interventions such as mindfulness and yoga.18,19 The addition of wellness education along with a primary EBP aligned with the VHA focus on whole health well-being and wellness. The whole health approach includes understanding the factors that motivate a patient toward health and well-being, provision of health education, and providing access to complementary interventions such as mindfulness.20 Dryden et al describe the whole health transformation within VHA as a proactive approach to addressing employee and patient wellness and health. Their research found that the whole health model promoted well-being in patients and staff and was sustained even during the COVID-19 pandemic.21 Dryden et al also noted that use of virtual technologies facilitated and promoted continued whole health implementation. The literature illustrates that: (1) massed PE can be provided with complementary education and wellness offerings, and that such offerings may increase both retention and satisfaction by enriching the massed PE treatment (eg, delivering PE-IOP); (2) whole health including wellness education and complementary interventions (eg, mindfulness, motivational enhancement) promotes well-being in both patients and mental health professionals; and (3) whole health education and complementary interventions can be delivered virtually.

Health Care Need

Prior to the implementation of a massed EBP for PTSD program at US Department of Veterans Affairs (VA) Pacific Islands Health Care System (VAPIHCS), our setting included a traditional outpatient program for treatment of PTSD and a 12- bed residential program for treatment of PTSD for male-identified (self-identified and identified as male in the electronic medical record) veterans via a cohort model with an 8- or 9-week length of stay. Both programs were located on Oahu. Thus, veterans who received care at VAPIHCS had access to PE in both outpatient and residential settings and via in-person and telehealth modalities. However, their access to PE was limited to the traditional models of PE delivery (eg, 1 or 2 session per week) and very few veterans outside of the island of Oahu had accessed PE treatment for PTSD. Moreover, when looking at PE reach within VAPIHCS, in the fiscal year prior to the implementation of the massed EBP program, only 32 of the > 5000 eligible veterans with a PTSD diagnosis had received PE. VAPIHCS serves veterans in a catchment area across the Pacific Basin which includes 3 time zones: Hawaii Standard Time (HST), Chamorro Standard Time (ChST), and Samoa Standard Time (SST). ChST is 20 hours ahead of HST, making service delivery that is inclusive for patients in Guam and Saipan especially challenging when providing care from Hawaii or other US states or territories. Given all of this, implementation of a new program offering accelerated PE virtually to any veterans with PTSD within the VAPIHCS would increase access to and reduce barriers to receiving PE.

PROGRAM DESCRIPTION

The Intensive Virtual EBP Team (iVET) for PTSD consists of an accelerated course of PE therapy and whole health education provided via VA Video Connect (VVC). iVET is a 3-week program and includes 3 parts: (1) massed individual PE therapy for PTSD; (2) group whole health and wellness classes; and (3) individual health coaching to address personal wellness goals. Programming is offered over 10-hour days to increase access across multiple time zones, especially to allow for participation in Guam and Saipan.

When a patient is referred to the iVET, their first contact is a video (or telephone) appointment with a registered nurse (RN) for a screening session. The screening session is designed to educate the patient about the program, including interventions, time commitment, and resources required for participation. In addition, following the educational discussion, the RN completes screening for safety with the patient including suicidal ideation and risk, as well as intimate partner violence risk. If urgent safety concerns are present, a licensed social worker or psychologist will join the screening to complete further assessment of risk and to address any safety concerns. Following screening, patients are scheduled for a VVC intake with a licensed therapist (social worker or psychologist) to complete the Clinician-Administered PTSD Scale (CAPS-5) for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition), a clinical interview for PTSD assessment. Patients are also sent a secure link to complete a measurement-based care (MBC) battery of self-report measures including measures assessing demographics, PTSD symptoms, anxiety symptoms, depression symptoms, substance use, quality of life (QOL), and satisfaction with mental health care. The results of the CAPS-5 and self-report measures are discussed with the patient during the intake session when planning next steps and engaging in shared decision-making. This initial VVC intake not only allows for diagnostic goodness of fit but also provides the opportunity to troubleshoot any technical difficulties the patients might have with the virtual platforms.

There are minimal exclusion criteria for participation in iVET, which include active unmanaged psychosis or manic symptoms, recent suicidal crises (attempt within 8 weeks), active nonsuicidal self-injurious behaviors (within 8 weeks), and moderate-to-severe cognitive impairment. Following intake, patients are scheduled to begin their course of care with iVET. Upon completion of intake, patients are sent program materials for their individual and group classes, asked to obtain or request a recording device, and told they will receive email links for all VVC appointments. Patients are admitted to the iVET in a rolling admission fashion, thereby increasing access when compared to closed group and/or cohort models of care.

Patients receiving care in iVET attend 2 or 3 telehealth appointments daily with practice exercises daily between telehealth sessions. The primary EBP intervention in the iVET for PTSD program is a massed or accelerated course of PE, which includes 4 primary components: psychoeducation, in-vivo exposure, imaginal exposure, and breathing retraining. Specifically, PE is delivered in 4 90-minute individual sessions weekly allowing completion of the full PE protocol, to fidelity, in 3 weeks. In addition to receiving this primary intervention, patients also participate in four 50-minute group sessions per week of a whole health and wellness education class and have access to one 30- to 60-minute session weekly of individual health coaching should they wish to set wellness goals and receive coaching in support of attaining wellness goals. During iVET, patients are invited to complete MBC batteries of selfreport measures including measures assessing PTSD symptoms, anxiety symptoms, depression symptoms, substance use, QOL, and satisfaction with mental health care at sessions 1, 5, 9, and the final session of PE. Following discharge from the iVET, patients are offered 1-month, 3-month, and 6-month individual postdischarge check-up sessions with a therapist where they are invited to complete MBC measures and review relapse prevention and maintenance of treatment gains. Likewise, they are offered 1-month, 3-month, and 6-month postdischarge check-up sessions with an RN focused on maintaining wellness gains.

The iVET for PTSD staff includes 3 therapists (psychologists or social workers) and an RN. Additionally, the iVET for PTSD is supported by a program manager and a program support assistant. The primary cost of the program is salary for staff. Additional iVET for PTSD resources included computer equipment for staff and minimal supplies. Due to the virtual environment of care, iVET staff telework and do not require physical space within VAPIHCS.

OUTCOMES

All veterans receiving care in iVET for PTSD are invited to complete a MBC at multiple timepoints including pretreatment, during PE treatment, and posttreatment. The MBC measures included self-reported demographics, a 2-item measure of satisfaction with mental health services, the Brief Addiction Monitor-Intensive Outpatient Program questionnaire,22 the Generalized Anxiety Disorder-7 scale,23, the Patient Health Questionnaire (PHQ-9),24 the QOL Enjoyment and Satisfaction Questionnaire- Short Form,25 and the PTSD Checklist for DSM-5 (PCL-5), both weekly and monthly versions. 26,27

The retention rate has averaged 81% since the iVET for PTSD opened in 2022. To date, 132 veterans have completed the iVET for PTSD program, including a full course of massed PE (Table 1). Veterans experienced reduced PTSD (P < .005), depression (P < .005), anxiety (P < .005), and substance use risk (P < .005). Veterans experienced improved QOL (P < .005) and reported high satisfaction with mental health care in iVET for PTSD (Table 2). Veterans also experienced reduced thoughts of death or suicidal ideation (SI) based on PHQ-9 item 9 responses. When looking categorically at presence or absence of SI on PHQ-9 item 9, a significant relationship was found between the absence of suicidal ideation and completion of a course of massed PE: X2 (1, N = 132) = 13.75, P < .001. In addition, veterans who completed the program showed a significant decrease in severity of SI as measured continuously (range, 0-3) on PHQ-9 item 9 (P < .005).

0425FED-MH-PTSD-006T10425FED-MH-PTSD-006T2

Another important aspect to consider when implementing massed models of EBP is the impact on employee well-being and job satisfaction. The impact of EBP on staff was assessed following the initial EBP project. To explore this further, all staff members in the iVET for PTSD were invited to engage in a small program evaluation. iVET staff were guided through a visualization meditation intended to recall a typical workday 1 month prior to starting their new position with iVET. After the visualization meditation, staff completed the Professional Quality of Life (ProQOL) scale, a 30-item, self-reported questionnaire for health care workers that evaluates compassion satisfaction, perceived support, burnout, secondary traumatic stress, and moral distress.28 One week later, staff were asked to complete the ProQOL again to capture their state after the first 6 months into their tenure as iVET staff. iVET employees experienced significantly increased perceived support (P < .05), reduced burnout (P < .05), reduced secondary traumatic stress (P < .05), and reduced moral distress (P < .05). Team members also remarked on the rewarding nature of the work and care model.

Future Directions

Future research should aim to sustain these outcomes as the iVET program continues to serve more veterans. Another important line of inquiry is longer-term follow-up, as exploring if outcomes are maintained over time is an important question that has not been answered in this article. In addition, we hope to see the accelerated model of care applied to treatment of other presenting concerns in mental health treatment (eg, anxiety, depression, insomnia). Expansion of accelerated mental health treatment into other federal and non-federal health care settings is another worthy direction. Finally, while short term (6 months) assessment of staff satisfaction in iVET was promising, ongoing assessment staff satisfaction over a longer timeframe (1-5 years) is also important.

CONCLUSIONS

PE for PTSD has been demonstrated to be effective and improve functioning and is supported by multiple clinical practice guidelines.1-5 However, as federal practitioners, we must consider the reality that many of the individuals who could benefit are not engaging in PE and there is a high dropout rate for those that do. It is vital that we envision a future state where access to PE for PTSD is equitable and inclusive, retention rates are dramatically improved, and clinicians providing PE do not experience high rates of burnout.

We must continue exploring how we can better care for our patients and colleagues. We posit that the development of programs, or tracks within existing programs, that provide massed or accelerated PE for PTSD with virtual delivery options is an imperative step toward improved care. Federal health care settings treating trauma-exposed patients with PTSD, such as those within the US Department of Defense, Indian Health Services, Federal Bureau of Prisons, and VA, are well positioned to implement programs like iVET. We believe this model of care has great merit and foresee a future where all patients seeking PTSD treatment have the option to complete an accelerated or massed course of PE should they so desire. The experiences outlined in this article illustrate the feasibility, acceptability, and sustainability of such programs without requiring substantial staffing and financial resources.

References
  1. American Psychological Association. Clinical Practice Guideline for the Treatment of Posttraumatic Stress Disorder (PTSD) in Adults. February 24, 2017. Accessed February 27, 2025. https://www.apa.org/ptsd-guideline/ptsd.pdf
  2. US Department of Veterans Affairs, Veterans Health Administration. Uniform mental health services in VA medical centers and clinics. Veterans Health Administration (VHA) Handbook 1160.01. September 11, 2008. Accessed February 27, 2025. https://www.mentalhealth.va.gov/providers/sud/docs/UniformServicesHandbook1160-01.pdf
  3. US Department of Veterans Affairs, US Department of Defense. VA/DoD clinical practice guideline for the management of posttraumatic stress disorder and acute stress disorder. Version 3. 2017. Accessed February 27, 2025. https://www.healthquality.va.gov/guidelines/MH/ptsd/VA-DoD-CPG-PTSD-Full-CPG-Edited-11162024.pdf
  4. Hamblen JL, Bernardy NC, Sherrieb K, et al. VA PTSD clinic director perspectives: How perceptions of readiness influence delivery of evidence-based PTSD treatment. Prof Psychol Res Pract. 2015;46(2): 90-96. doi:10.1037/a0038535
  5. Schnurr PP, Chard KM, Ruzek JI, et al. Comparison of prolonged exposure vs cognitive processing therapy for treatment of posttraumatic stress disorder among US veterans: a randomized clinical trial. JAMA Netw Open. 2022;5(1):e2136921. doi:10.1001/jamanetworkopen. 2021.36921
  6. Kehle-Forbes SM, Meis LA, Spoont MR, Polusny MA. Treatment initiation and dropout from prolonged exposure and cognitive processing therapy in a VA outpatient clinic. Psychol Trauma. 2016;8(1):107-114. doi:10.1037/tra0000065
  7. Mott JM, Mondragon S, Hundt NE, Beason-Smith M, Grady RH, Teng EJ. Characteristics of U.S. veterans who begin and complete prolonged exposure and cognitive processing therapy for PTSD. J Trauma Stress. 2014;27(3):265-273. doi:10.1002/jts.21927
  8. Shiner B, D’Avolio LW, Nguyen TM, et al. Measuring use of evidence based psychotherapy for posttraumatic stress disorder. Adm Policy Ment Health. 2013;40(4):311-318. doi:10.1007/s10488-012-0421-0
  9. Maguen S, Holder N, Madden E, et al. Evidence-based psychotherapy trends among posttraumatic stress disorder patients in a national healthcare system, 2001-2014. Depress Anxiety. 2020;37(4):356-364. doi:10.1002/da.22983
  10. Maguen S, Li Y, Madden E, et al. Factors associated with completing evidence-based psychotherapy for PTSD among veterans in a national healthcare system. Psychiatry Res. 2019;274:112-128. doi:10.1016/j.psychres.2019.02.027
  11. Foa EB, McLean CP, Zang Y, et al. Effect of prolonged exposure therapy delivered over 2 weeks vs 8 weeks vs present-centered therapy on PTSD symptom severity in military personnel: a randomized clinical trial. JAMA. 2018;319(4):354-364. doi:10.1001/jama.2017.21242
  12. Yamokoski C, Flores H, Facemire V, Maieritsch K, Perez S, Fedynich A. Feasibility of an intensive outpatient treatment program for posttraumatic stress disorder within the veterans health care administration. Psychol Serv. 2023;20(3):506-515. doi:10.1037/ser0000628
  13. McLean CP, Foa EB. State of the Science: Prolonged exposure therapy for the treatment of posttraumatic stress disorder. J Trauma Stress. 2024;37(4):535-550. doi:10.1002/jts.23046
  14. McLean CP, Levy HC, Miller ML, Tolin DF. Exposure therapy for PTSD: A meta-analysis. Clin Psychol Rev. 2022;91:102115. doi:10.1016/j.cpr.2021.102115
  15. Wells SY, Morland LA, Wilhite ER, et al. Delivering Prolonged Exposure Therapy via Videoconferencing During the COVID-19 Pandemic: An Overview of the Research and Special Considerations for Providers. J Trauma Stress. 2020;33(4):380-390. doi:10.1002/jts.22573
  16. Peterson AL, Blount TH, Foa EB, et al. Massed vs intensive outpatient prolonged exposure for combat-related posttraumatic stress disorder: a randomized clinical trial. JAMA Netw Open. 2023;6(1):e2249422. Published 2023 Jan 3. doi:10.1001/jamanetworkopen.2022.49422
  17. Ragsdale KA, Nichols AA, Mehta M, et al. Comorbid treatment of traumatic brain injury and mental health disorders. NeuroRehabilitation. 2024;55(3):375-384. doi:10.3233/NRE-230235
  18. Rauch SAM, Yasinski CW, Post LM, et al. An intensive outpatient program with prolonged exposure for veterans with posttraumatic stress disorder: retention, predictors, and patterns of change. Psychol Serv. 2021;18(4):606-618. doi:10.1037/ser0000422
  19. Sherrill AM, Maples-Keller JL, Yasinski CW, Loucks LA, Rothbaum BO, Rauch SAM. Perceived benefits and drawbacks of massed prolonged exposure: qualitative thematic analysis of reactions from treatment completers. Psychol Trauma. 2022;14(5):862-870. doi:10.1037/tra0000548
  20. Gaudet T, Kligler B. Whole health in the whole system of the Veterans Administration: how will we know we have reached this future state? J Altern Complement Med. 2019;25(S1):S7-S11. doi:10.1089/acm.2018.29061.gau
  21. Dryden EM, Bolton RE, Bokhour BG, et al. Leaning Into whole health: sustaining system transformation while supporting patients and employees during COVID-19. Glob Adv Health Med. 2021;10:21649561211021047. doi:10.1177/21649561211021047
  22. Cacciola JS, Alterman AI, Dephilippis D, et al. Development and initial evaluation of the Brief Addiction Monitor (BAM). J Subst Abuse Treat. 2013;44(3):256-263. doi:10.1016/j.jsat.2012.07.013
  23. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092-1097. doi:10.1001/archinte.166.10.1092
  24. Kroenke K, Spi tze r RL , Wi l l i ams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  25. Stevanovic D. Quality of Life Enjoyment and Satisfaction Questionnaire-short form for quality of life assessments in clinical practice: a psychometric study. J Psychiatr Ment Health Nurs. 2011;18(8):744-750. doi:10.1111/j.1365-2850.2011.01735.x
  26. Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, Schnurr PP. The PTSD Checklist for DSM-5 (PCL- 5). National Center for PTSD. Updated August 29, 2023. Accessed February 27, 2025. https://www.ptsd.va.gov/professional/assessment/documents/PCL5_Standard_form.pdf
  27. Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
  28. Stamm BH. The Concise ProQOL Manual. 2nd ed. Pro- QOL.org; 2010.
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Fed Pract. 2025;42(suppl 1). Published online April 2. doi:10.12788/fp.0568

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Evidence-based psychotherapy (EBP) for posttraumatic stress disorder (PTSD), such as prolonged exposure (PE), is supported by multiple clinical practice guidelines and is expected to be available to veterans served by the Veterans Health Administration (VHA).1-5 However, traditional models of EBP delivery with 1 or 2 sessions weekly have high dropout rates.6,7 Few veterans who could benefit from such EBPs receive them, and those who do have low completion rates.8,9 Over a 15-year period, VHA records review of > 265,500 veterans with PTSD showed only 9.1% completed EBP treatment that included but was not limited to PE.10

One empirically supported solution that has yet to be widely implemented is delivering EBPs for PTSD in a massed or accelerated format of ≥ 3 sessions weekly.11 While these massed models of EBP delivery for PTSD are promising, their implementation is limited in federal health care settings, such as the VHA.12 PE therapy is a first-line treatment for PTSD that has been evaluated in numerous clinical trials since the early 1990s and in a wide range of trauma populations.13,14 Massed PE is effective and PE has been found to be effective both in-person and via telehealth.11,15,16

Another approach to accelerated PE is the inclusion of a massed PE course within a broader treatment context that includes augmentation of the massed PE with additional services, this is referred to as an intensive outpatient model (IOP).17 PE-IOP has also been shown to be feasible, acceptable, and effective with increased completion rates in comparison to the traditional (1 or 2 sessions weekly) model of PE.12,16,18,19 Ragsdale et al describe a 2-week IOP with multiple treatment tracks, including a PTSD track. The PTSD treatment track includes massed PE and additional standard services including case management, wellness services, family services, and a single session effective behaviors group. Additional augmentation services are available when clinically indicated (eg, repetitive transcranial magnetic stimulation, transcranial direct current stimulation treatment, psychoeducation, motivational interviewing, and/or relapse prevention).17

Rauch et al studied the first 80 patients completing an IOP program that consisted of PE (5 sessions weekly) and complementary interventions (eg, mindfulness and yoga) and reported a 96% retention rate, significant reductions of self-reported PTSD symptoms, significant reduction in self-reported co-occurring depression symptoms, and significant increase in self-reported satisfaction with social functioning. 18 In another study, Sherril et al explored patient reactions to participation in massed PE (5 sessions weekly) and found that patients reported significantly more positive than negative reactions. Sherrill et al noted that according to patients, the benefits of massed PE included a structured format that limits avoidance and distraction. The resulting fast pace of progress enhanced motivation; however, drawbacks included short-term discomfort and time demands.19 Yamokoski et al explored the feasibility of massed PE in a larger study of PTSD treatment in an intensive outpatient track (IOT) in a VHA PTSD clinic with minimal staffing. The 48 patients who completed IOT PTSD treatment in 2 or 4 weeks (including 35 patients who received massed PE) had high retention rates (85%), reported high satisfaction, and had significantly reduced PTSD and depression symptoms.12

The massed IOT PE model implemented by Yamokoski et al included the primary EBP intervention of massed PE with adjunctive groups. The addition of these groups increased both retention and patient-reported satisfaction. The PE-IOP model implemented by Rauch et al and Sherrill et al also included wellness and educational groups, as well as access to complementary interventions such as mindfulness and yoga.18,19 The addition of wellness education along with a primary EBP aligned with the VHA focus on whole health well-being and wellness. The whole health approach includes understanding the factors that motivate a patient toward health and well-being, provision of health education, and providing access to complementary interventions such as mindfulness.20 Dryden et al describe the whole health transformation within VHA as a proactive approach to addressing employee and patient wellness and health. Their research found that the whole health model promoted well-being in patients and staff and was sustained even during the COVID-19 pandemic.21 Dryden et al also noted that use of virtual technologies facilitated and promoted continued whole health implementation. The literature illustrates that: (1) massed PE can be provided with complementary education and wellness offerings, and that such offerings may increase both retention and satisfaction by enriching the massed PE treatment (eg, delivering PE-IOP); (2) whole health including wellness education and complementary interventions (eg, mindfulness, motivational enhancement) promotes well-being in both patients and mental health professionals; and (3) whole health education and complementary interventions can be delivered virtually.

Health Care Need

Prior to the implementation of a massed EBP for PTSD program at US Department of Veterans Affairs (VA) Pacific Islands Health Care System (VAPIHCS), our setting included a traditional outpatient program for treatment of PTSD and a 12- bed residential program for treatment of PTSD for male-identified (self-identified and identified as male in the electronic medical record) veterans via a cohort model with an 8- or 9-week length of stay. Both programs were located on Oahu. Thus, veterans who received care at VAPIHCS had access to PE in both outpatient and residential settings and via in-person and telehealth modalities. However, their access to PE was limited to the traditional models of PE delivery (eg, 1 or 2 session per week) and very few veterans outside of the island of Oahu had accessed PE treatment for PTSD. Moreover, when looking at PE reach within VAPIHCS, in the fiscal year prior to the implementation of the massed EBP program, only 32 of the > 5000 eligible veterans with a PTSD diagnosis had received PE. VAPIHCS serves veterans in a catchment area across the Pacific Basin which includes 3 time zones: Hawaii Standard Time (HST), Chamorro Standard Time (ChST), and Samoa Standard Time (SST). ChST is 20 hours ahead of HST, making service delivery that is inclusive for patients in Guam and Saipan especially challenging when providing care from Hawaii or other US states or territories. Given all of this, implementation of a new program offering accelerated PE virtually to any veterans with PTSD within the VAPIHCS would increase access to and reduce barriers to receiving PE.

PROGRAM DESCRIPTION

The Intensive Virtual EBP Team (iVET) for PTSD consists of an accelerated course of PE therapy and whole health education provided via VA Video Connect (VVC). iVET is a 3-week program and includes 3 parts: (1) massed individual PE therapy for PTSD; (2) group whole health and wellness classes; and (3) individual health coaching to address personal wellness goals. Programming is offered over 10-hour days to increase access across multiple time zones, especially to allow for participation in Guam and Saipan.

When a patient is referred to the iVET, their first contact is a video (or telephone) appointment with a registered nurse (RN) for a screening session. The screening session is designed to educate the patient about the program, including interventions, time commitment, and resources required for participation. In addition, following the educational discussion, the RN completes screening for safety with the patient including suicidal ideation and risk, as well as intimate partner violence risk. If urgent safety concerns are present, a licensed social worker or psychologist will join the screening to complete further assessment of risk and to address any safety concerns. Following screening, patients are scheduled for a VVC intake with a licensed therapist (social worker or psychologist) to complete the Clinician-Administered PTSD Scale (CAPS-5) for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition), a clinical interview for PTSD assessment. Patients are also sent a secure link to complete a measurement-based care (MBC) battery of self-report measures including measures assessing demographics, PTSD symptoms, anxiety symptoms, depression symptoms, substance use, quality of life (QOL), and satisfaction with mental health care. The results of the CAPS-5 and self-report measures are discussed with the patient during the intake session when planning next steps and engaging in shared decision-making. This initial VVC intake not only allows for diagnostic goodness of fit but also provides the opportunity to troubleshoot any technical difficulties the patients might have with the virtual platforms.

There are minimal exclusion criteria for participation in iVET, which include active unmanaged psychosis or manic symptoms, recent suicidal crises (attempt within 8 weeks), active nonsuicidal self-injurious behaviors (within 8 weeks), and moderate-to-severe cognitive impairment. Following intake, patients are scheduled to begin their course of care with iVET. Upon completion of intake, patients are sent program materials for their individual and group classes, asked to obtain or request a recording device, and told they will receive email links for all VVC appointments. Patients are admitted to the iVET in a rolling admission fashion, thereby increasing access when compared to closed group and/or cohort models of care.

Patients receiving care in iVET attend 2 or 3 telehealth appointments daily with practice exercises daily between telehealth sessions. The primary EBP intervention in the iVET for PTSD program is a massed or accelerated course of PE, which includes 4 primary components: psychoeducation, in-vivo exposure, imaginal exposure, and breathing retraining. Specifically, PE is delivered in 4 90-minute individual sessions weekly allowing completion of the full PE protocol, to fidelity, in 3 weeks. In addition to receiving this primary intervention, patients also participate in four 50-minute group sessions per week of a whole health and wellness education class and have access to one 30- to 60-minute session weekly of individual health coaching should they wish to set wellness goals and receive coaching in support of attaining wellness goals. During iVET, patients are invited to complete MBC batteries of selfreport measures including measures assessing PTSD symptoms, anxiety symptoms, depression symptoms, substance use, QOL, and satisfaction with mental health care at sessions 1, 5, 9, and the final session of PE. Following discharge from the iVET, patients are offered 1-month, 3-month, and 6-month individual postdischarge check-up sessions with a therapist where they are invited to complete MBC measures and review relapse prevention and maintenance of treatment gains. Likewise, they are offered 1-month, 3-month, and 6-month postdischarge check-up sessions with an RN focused on maintaining wellness gains.

The iVET for PTSD staff includes 3 therapists (psychologists or social workers) and an RN. Additionally, the iVET for PTSD is supported by a program manager and a program support assistant. The primary cost of the program is salary for staff. Additional iVET for PTSD resources included computer equipment for staff and minimal supplies. Due to the virtual environment of care, iVET staff telework and do not require physical space within VAPIHCS.

OUTCOMES

All veterans receiving care in iVET for PTSD are invited to complete a MBC at multiple timepoints including pretreatment, during PE treatment, and posttreatment. The MBC measures included self-reported demographics, a 2-item measure of satisfaction with mental health services, the Brief Addiction Monitor-Intensive Outpatient Program questionnaire,22 the Generalized Anxiety Disorder-7 scale,23, the Patient Health Questionnaire (PHQ-9),24 the QOL Enjoyment and Satisfaction Questionnaire- Short Form,25 and the PTSD Checklist for DSM-5 (PCL-5), both weekly and monthly versions. 26,27

The retention rate has averaged 81% since the iVET for PTSD opened in 2022. To date, 132 veterans have completed the iVET for PTSD program, including a full course of massed PE (Table 1). Veterans experienced reduced PTSD (P < .005), depression (P < .005), anxiety (P < .005), and substance use risk (P < .005). Veterans experienced improved QOL (P < .005) and reported high satisfaction with mental health care in iVET for PTSD (Table 2). Veterans also experienced reduced thoughts of death or suicidal ideation (SI) based on PHQ-9 item 9 responses. When looking categorically at presence or absence of SI on PHQ-9 item 9, a significant relationship was found between the absence of suicidal ideation and completion of a course of massed PE: X2 (1, N = 132) = 13.75, P < .001. In addition, veterans who completed the program showed a significant decrease in severity of SI as measured continuously (range, 0-3) on PHQ-9 item 9 (P < .005).

0425FED-MH-PTSD-006T10425FED-MH-PTSD-006T2

Another important aspect to consider when implementing massed models of EBP is the impact on employee well-being and job satisfaction. The impact of EBP on staff was assessed following the initial EBP project. To explore this further, all staff members in the iVET for PTSD were invited to engage in a small program evaluation. iVET staff were guided through a visualization meditation intended to recall a typical workday 1 month prior to starting their new position with iVET. After the visualization meditation, staff completed the Professional Quality of Life (ProQOL) scale, a 30-item, self-reported questionnaire for health care workers that evaluates compassion satisfaction, perceived support, burnout, secondary traumatic stress, and moral distress.28 One week later, staff were asked to complete the ProQOL again to capture their state after the first 6 months into their tenure as iVET staff. iVET employees experienced significantly increased perceived support (P < .05), reduced burnout (P < .05), reduced secondary traumatic stress (P < .05), and reduced moral distress (P < .05). Team members also remarked on the rewarding nature of the work and care model.

Future Directions

Future research should aim to sustain these outcomes as the iVET program continues to serve more veterans. Another important line of inquiry is longer-term follow-up, as exploring if outcomes are maintained over time is an important question that has not been answered in this article. In addition, we hope to see the accelerated model of care applied to treatment of other presenting concerns in mental health treatment (eg, anxiety, depression, insomnia). Expansion of accelerated mental health treatment into other federal and non-federal health care settings is another worthy direction. Finally, while short term (6 months) assessment of staff satisfaction in iVET was promising, ongoing assessment staff satisfaction over a longer timeframe (1-5 years) is also important.

CONCLUSIONS

PE for PTSD has been demonstrated to be effective and improve functioning and is supported by multiple clinical practice guidelines.1-5 However, as federal practitioners, we must consider the reality that many of the individuals who could benefit are not engaging in PE and there is a high dropout rate for those that do. It is vital that we envision a future state where access to PE for PTSD is equitable and inclusive, retention rates are dramatically improved, and clinicians providing PE do not experience high rates of burnout.

We must continue exploring how we can better care for our patients and colleagues. We posit that the development of programs, or tracks within existing programs, that provide massed or accelerated PE for PTSD with virtual delivery options is an imperative step toward improved care. Federal health care settings treating trauma-exposed patients with PTSD, such as those within the US Department of Defense, Indian Health Services, Federal Bureau of Prisons, and VA, are well positioned to implement programs like iVET. We believe this model of care has great merit and foresee a future where all patients seeking PTSD treatment have the option to complete an accelerated or massed course of PE should they so desire. The experiences outlined in this article illustrate the feasibility, acceptability, and sustainability of such programs without requiring substantial staffing and financial resources.

Evidence-based psychotherapy (EBP) for posttraumatic stress disorder (PTSD), such as prolonged exposure (PE), is supported by multiple clinical practice guidelines and is expected to be available to veterans served by the Veterans Health Administration (VHA).1-5 However, traditional models of EBP delivery with 1 or 2 sessions weekly have high dropout rates.6,7 Few veterans who could benefit from such EBPs receive them, and those who do have low completion rates.8,9 Over a 15-year period, VHA records review of > 265,500 veterans with PTSD showed only 9.1% completed EBP treatment that included but was not limited to PE.10

One empirically supported solution that has yet to be widely implemented is delivering EBPs for PTSD in a massed or accelerated format of ≥ 3 sessions weekly.11 While these massed models of EBP delivery for PTSD are promising, their implementation is limited in federal health care settings, such as the VHA.12 PE therapy is a first-line treatment for PTSD that has been evaluated in numerous clinical trials since the early 1990s and in a wide range of trauma populations.13,14 Massed PE is effective and PE has been found to be effective both in-person and via telehealth.11,15,16

Another approach to accelerated PE is the inclusion of a massed PE course within a broader treatment context that includes augmentation of the massed PE with additional services, this is referred to as an intensive outpatient model (IOP).17 PE-IOP has also been shown to be feasible, acceptable, and effective with increased completion rates in comparison to the traditional (1 or 2 sessions weekly) model of PE.12,16,18,19 Ragsdale et al describe a 2-week IOP with multiple treatment tracks, including a PTSD track. The PTSD treatment track includes massed PE and additional standard services including case management, wellness services, family services, and a single session effective behaviors group. Additional augmentation services are available when clinically indicated (eg, repetitive transcranial magnetic stimulation, transcranial direct current stimulation treatment, psychoeducation, motivational interviewing, and/or relapse prevention).17

Rauch et al studied the first 80 patients completing an IOP program that consisted of PE (5 sessions weekly) and complementary interventions (eg, mindfulness and yoga) and reported a 96% retention rate, significant reductions of self-reported PTSD symptoms, significant reduction in self-reported co-occurring depression symptoms, and significant increase in self-reported satisfaction with social functioning. 18 In another study, Sherril et al explored patient reactions to participation in massed PE (5 sessions weekly) and found that patients reported significantly more positive than negative reactions. Sherrill et al noted that according to patients, the benefits of massed PE included a structured format that limits avoidance and distraction. The resulting fast pace of progress enhanced motivation; however, drawbacks included short-term discomfort and time demands.19 Yamokoski et al explored the feasibility of massed PE in a larger study of PTSD treatment in an intensive outpatient track (IOT) in a VHA PTSD clinic with minimal staffing. The 48 patients who completed IOT PTSD treatment in 2 or 4 weeks (including 35 patients who received massed PE) had high retention rates (85%), reported high satisfaction, and had significantly reduced PTSD and depression symptoms.12

The massed IOT PE model implemented by Yamokoski et al included the primary EBP intervention of massed PE with adjunctive groups. The addition of these groups increased both retention and patient-reported satisfaction. The PE-IOP model implemented by Rauch et al and Sherrill et al also included wellness and educational groups, as well as access to complementary interventions such as mindfulness and yoga.18,19 The addition of wellness education along with a primary EBP aligned with the VHA focus on whole health well-being and wellness. The whole health approach includes understanding the factors that motivate a patient toward health and well-being, provision of health education, and providing access to complementary interventions such as mindfulness.20 Dryden et al describe the whole health transformation within VHA as a proactive approach to addressing employee and patient wellness and health. Their research found that the whole health model promoted well-being in patients and staff and was sustained even during the COVID-19 pandemic.21 Dryden et al also noted that use of virtual technologies facilitated and promoted continued whole health implementation. The literature illustrates that: (1) massed PE can be provided with complementary education and wellness offerings, and that such offerings may increase both retention and satisfaction by enriching the massed PE treatment (eg, delivering PE-IOP); (2) whole health including wellness education and complementary interventions (eg, mindfulness, motivational enhancement) promotes well-being in both patients and mental health professionals; and (3) whole health education and complementary interventions can be delivered virtually.

Health Care Need

Prior to the implementation of a massed EBP for PTSD program at US Department of Veterans Affairs (VA) Pacific Islands Health Care System (VAPIHCS), our setting included a traditional outpatient program for treatment of PTSD and a 12- bed residential program for treatment of PTSD for male-identified (self-identified and identified as male in the electronic medical record) veterans via a cohort model with an 8- or 9-week length of stay. Both programs were located on Oahu. Thus, veterans who received care at VAPIHCS had access to PE in both outpatient and residential settings and via in-person and telehealth modalities. However, their access to PE was limited to the traditional models of PE delivery (eg, 1 or 2 session per week) and very few veterans outside of the island of Oahu had accessed PE treatment for PTSD. Moreover, when looking at PE reach within VAPIHCS, in the fiscal year prior to the implementation of the massed EBP program, only 32 of the > 5000 eligible veterans with a PTSD diagnosis had received PE. VAPIHCS serves veterans in a catchment area across the Pacific Basin which includes 3 time zones: Hawaii Standard Time (HST), Chamorro Standard Time (ChST), and Samoa Standard Time (SST). ChST is 20 hours ahead of HST, making service delivery that is inclusive for patients in Guam and Saipan especially challenging when providing care from Hawaii or other US states or territories. Given all of this, implementation of a new program offering accelerated PE virtually to any veterans with PTSD within the VAPIHCS would increase access to and reduce barriers to receiving PE.

PROGRAM DESCRIPTION

The Intensive Virtual EBP Team (iVET) for PTSD consists of an accelerated course of PE therapy and whole health education provided via VA Video Connect (VVC). iVET is a 3-week program and includes 3 parts: (1) massed individual PE therapy for PTSD; (2) group whole health and wellness classes; and (3) individual health coaching to address personal wellness goals. Programming is offered over 10-hour days to increase access across multiple time zones, especially to allow for participation in Guam and Saipan.

When a patient is referred to the iVET, their first contact is a video (or telephone) appointment with a registered nurse (RN) for a screening session. The screening session is designed to educate the patient about the program, including interventions, time commitment, and resources required for participation. In addition, following the educational discussion, the RN completes screening for safety with the patient including suicidal ideation and risk, as well as intimate partner violence risk. If urgent safety concerns are present, a licensed social worker or psychologist will join the screening to complete further assessment of risk and to address any safety concerns. Following screening, patients are scheduled for a VVC intake with a licensed therapist (social worker or psychologist) to complete the Clinician-Administered PTSD Scale (CAPS-5) for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition), a clinical interview for PTSD assessment. Patients are also sent a secure link to complete a measurement-based care (MBC) battery of self-report measures including measures assessing demographics, PTSD symptoms, anxiety symptoms, depression symptoms, substance use, quality of life (QOL), and satisfaction with mental health care. The results of the CAPS-5 and self-report measures are discussed with the patient during the intake session when planning next steps and engaging in shared decision-making. This initial VVC intake not only allows for diagnostic goodness of fit but also provides the opportunity to troubleshoot any technical difficulties the patients might have with the virtual platforms.

There are minimal exclusion criteria for participation in iVET, which include active unmanaged psychosis or manic symptoms, recent suicidal crises (attempt within 8 weeks), active nonsuicidal self-injurious behaviors (within 8 weeks), and moderate-to-severe cognitive impairment. Following intake, patients are scheduled to begin their course of care with iVET. Upon completion of intake, patients are sent program materials for their individual and group classes, asked to obtain or request a recording device, and told they will receive email links for all VVC appointments. Patients are admitted to the iVET in a rolling admission fashion, thereby increasing access when compared to closed group and/or cohort models of care.

Patients receiving care in iVET attend 2 or 3 telehealth appointments daily with practice exercises daily between telehealth sessions. The primary EBP intervention in the iVET for PTSD program is a massed or accelerated course of PE, which includes 4 primary components: psychoeducation, in-vivo exposure, imaginal exposure, and breathing retraining. Specifically, PE is delivered in 4 90-minute individual sessions weekly allowing completion of the full PE protocol, to fidelity, in 3 weeks. In addition to receiving this primary intervention, patients also participate in four 50-minute group sessions per week of a whole health and wellness education class and have access to one 30- to 60-minute session weekly of individual health coaching should they wish to set wellness goals and receive coaching in support of attaining wellness goals. During iVET, patients are invited to complete MBC batteries of selfreport measures including measures assessing PTSD symptoms, anxiety symptoms, depression symptoms, substance use, QOL, and satisfaction with mental health care at sessions 1, 5, 9, and the final session of PE. Following discharge from the iVET, patients are offered 1-month, 3-month, and 6-month individual postdischarge check-up sessions with a therapist where they are invited to complete MBC measures and review relapse prevention and maintenance of treatment gains. Likewise, they are offered 1-month, 3-month, and 6-month postdischarge check-up sessions with an RN focused on maintaining wellness gains.

The iVET for PTSD staff includes 3 therapists (psychologists or social workers) and an RN. Additionally, the iVET for PTSD is supported by a program manager and a program support assistant. The primary cost of the program is salary for staff. Additional iVET for PTSD resources included computer equipment for staff and minimal supplies. Due to the virtual environment of care, iVET staff telework and do not require physical space within VAPIHCS.

OUTCOMES

All veterans receiving care in iVET for PTSD are invited to complete a MBC at multiple timepoints including pretreatment, during PE treatment, and posttreatment. The MBC measures included self-reported demographics, a 2-item measure of satisfaction with mental health services, the Brief Addiction Monitor-Intensive Outpatient Program questionnaire,22 the Generalized Anxiety Disorder-7 scale,23, the Patient Health Questionnaire (PHQ-9),24 the QOL Enjoyment and Satisfaction Questionnaire- Short Form,25 and the PTSD Checklist for DSM-5 (PCL-5), both weekly and monthly versions. 26,27

The retention rate has averaged 81% since the iVET for PTSD opened in 2022. To date, 132 veterans have completed the iVET for PTSD program, including a full course of massed PE (Table 1). Veterans experienced reduced PTSD (P < .005), depression (P < .005), anxiety (P < .005), and substance use risk (P < .005). Veterans experienced improved QOL (P < .005) and reported high satisfaction with mental health care in iVET for PTSD (Table 2). Veterans also experienced reduced thoughts of death or suicidal ideation (SI) based on PHQ-9 item 9 responses. When looking categorically at presence or absence of SI on PHQ-9 item 9, a significant relationship was found between the absence of suicidal ideation and completion of a course of massed PE: X2 (1, N = 132) = 13.75, P < .001. In addition, veterans who completed the program showed a significant decrease in severity of SI as measured continuously (range, 0-3) on PHQ-9 item 9 (P < .005).

0425FED-MH-PTSD-006T10425FED-MH-PTSD-006T2

Another important aspect to consider when implementing massed models of EBP is the impact on employee well-being and job satisfaction. The impact of EBP on staff was assessed following the initial EBP project. To explore this further, all staff members in the iVET for PTSD were invited to engage in a small program evaluation. iVET staff were guided through a visualization meditation intended to recall a typical workday 1 month prior to starting their new position with iVET. After the visualization meditation, staff completed the Professional Quality of Life (ProQOL) scale, a 30-item, self-reported questionnaire for health care workers that evaluates compassion satisfaction, perceived support, burnout, secondary traumatic stress, and moral distress.28 One week later, staff were asked to complete the ProQOL again to capture their state after the first 6 months into their tenure as iVET staff. iVET employees experienced significantly increased perceived support (P < .05), reduced burnout (P < .05), reduced secondary traumatic stress (P < .05), and reduced moral distress (P < .05). Team members also remarked on the rewarding nature of the work and care model.

Future Directions

Future research should aim to sustain these outcomes as the iVET program continues to serve more veterans. Another important line of inquiry is longer-term follow-up, as exploring if outcomes are maintained over time is an important question that has not been answered in this article. In addition, we hope to see the accelerated model of care applied to treatment of other presenting concerns in mental health treatment (eg, anxiety, depression, insomnia). Expansion of accelerated mental health treatment into other federal and non-federal health care settings is another worthy direction. Finally, while short term (6 months) assessment of staff satisfaction in iVET was promising, ongoing assessment staff satisfaction over a longer timeframe (1-5 years) is also important.

CONCLUSIONS

PE for PTSD has been demonstrated to be effective and improve functioning and is supported by multiple clinical practice guidelines.1-5 However, as federal practitioners, we must consider the reality that many of the individuals who could benefit are not engaging in PE and there is a high dropout rate for those that do. It is vital that we envision a future state where access to PE for PTSD is equitable and inclusive, retention rates are dramatically improved, and clinicians providing PE do not experience high rates of burnout.

We must continue exploring how we can better care for our patients and colleagues. We posit that the development of programs, or tracks within existing programs, that provide massed or accelerated PE for PTSD with virtual delivery options is an imperative step toward improved care. Federal health care settings treating trauma-exposed patients with PTSD, such as those within the US Department of Defense, Indian Health Services, Federal Bureau of Prisons, and VA, are well positioned to implement programs like iVET. We believe this model of care has great merit and foresee a future where all patients seeking PTSD treatment have the option to complete an accelerated or massed course of PE should they so desire. The experiences outlined in this article illustrate the feasibility, acceptability, and sustainability of such programs without requiring substantial staffing and financial resources.

References
  1. American Psychological Association. Clinical Practice Guideline for the Treatment of Posttraumatic Stress Disorder (PTSD) in Adults. February 24, 2017. Accessed February 27, 2025. https://www.apa.org/ptsd-guideline/ptsd.pdf
  2. US Department of Veterans Affairs, Veterans Health Administration. Uniform mental health services in VA medical centers and clinics. Veterans Health Administration (VHA) Handbook 1160.01. September 11, 2008. Accessed February 27, 2025. https://www.mentalhealth.va.gov/providers/sud/docs/UniformServicesHandbook1160-01.pdf
  3. US Department of Veterans Affairs, US Department of Defense. VA/DoD clinical practice guideline for the management of posttraumatic stress disorder and acute stress disorder. Version 3. 2017. Accessed February 27, 2025. https://www.healthquality.va.gov/guidelines/MH/ptsd/VA-DoD-CPG-PTSD-Full-CPG-Edited-11162024.pdf
  4. Hamblen JL, Bernardy NC, Sherrieb K, et al. VA PTSD clinic director perspectives: How perceptions of readiness influence delivery of evidence-based PTSD treatment. Prof Psychol Res Pract. 2015;46(2): 90-96. doi:10.1037/a0038535
  5. Schnurr PP, Chard KM, Ruzek JI, et al. Comparison of prolonged exposure vs cognitive processing therapy for treatment of posttraumatic stress disorder among US veterans: a randomized clinical trial. JAMA Netw Open. 2022;5(1):e2136921. doi:10.1001/jamanetworkopen. 2021.36921
  6. Kehle-Forbes SM, Meis LA, Spoont MR, Polusny MA. Treatment initiation and dropout from prolonged exposure and cognitive processing therapy in a VA outpatient clinic. Psychol Trauma. 2016;8(1):107-114. doi:10.1037/tra0000065
  7. Mott JM, Mondragon S, Hundt NE, Beason-Smith M, Grady RH, Teng EJ. Characteristics of U.S. veterans who begin and complete prolonged exposure and cognitive processing therapy for PTSD. J Trauma Stress. 2014;27(3):265-273. doi:10.1002/jts.21927
  8. Shiner B, D’Avolio LW, Nguyen TM, et al. Measuring use of evidence based psychotherapy for posttraumatic stress disorder. Adm Policy Ment Health. 2013;40(4):311-318. doi:10.1007/s10488-012-0421-0
  9. Maguen S, Holder N, Madden E, et al. Evidence-based psychotherapy trends among posttraumatic stress disorder patients in a national healthcare system, 2001-2014. Depress Anxiety. 2020;37(4):356-364. doi:10.1002/da.22983
  10. Maguen S, Li Y, Madden E, et al. Factors associated with completing evidence-based psychotherapy for PTSD among veterans in a national healthcare system. Psychiatry Res. 2019;274:112-128. doi:10.1016/j.psychres.2019.02.027
  11. Foa EB, McLean CP, Zang Y, et al. Effect of prolonged exposure therapy delivered over 2 weeks vs 8 weeks vs present-centered therapy on PTSD symptom severity in military personnel: a randomized clinical trial. JAMA. 2018;319(4):354-364. doi:10.1001/jama.2017.21242
  12. Yamokoski C, Flores H, Facemire V, Maieritsch K, Perez S, Fedynich A. Feasibility of an intensive outpatient treatment program for posttraumatic stress disorder within the veterans health care administration. Psychol Serv. 2023;20(3):506-515. doi:10.1037/ser0000628
  13. McLean CP, Foa EB. State of the Science: Prolonged exposure therapy for the treatment of posttraumatic stress disorder. J Trauma Stress. 2024;37(4):535-550. doi:10.1002/jts.23046
  14. McLean CP, Levy HC, Miller ML, Tolin DF. Exposure therapy for PTSD: A meta-analysis. Clin Psychol Rev. 2022;91:102115. doi:10.1016/j.cpr.2021.102115
  15. Wells SY, Morland LA, Wilhite ER, et al. Delivering Prolonged Exposure Therapy via Videoconferencing During the COVID-19 Pandemic: An Overview of the Research and Special Considerations for Providers. J Trauma Stress. 2020;33(4):380-390. doi:10.1002/jts.22573
  16. Peterson AL, Blount TH, Foa EB, et al. Massed vs intensive outpatient prolonged exposure for combat-related posttraumatic stress disorder: a randomized clinical trial. JAMA Netw Open. 2023;6(1):e2249422. Published 2023 Jan 3. doi:10.1001/jamanetworkopen.2022.49422
  17. Ragsdale KA, Nichols AA, Mehta M, et al. Comorbid treatment of traumatic brain injury and mental health disorders. NeuroRehabilitation. 2024;55(3):375-384. doi:10.3233/NRE-230235
  18. Rauch SAM, Yasinski CW, Post LM, et al. An intensive outpatient program with prolonged exposure for veterans with posttraumatic stress disorder: retention, predictors, and patterns of change. Psychol Serv. 2021;18(4):606-618. doi:10.1037/ser0000422
  19. Sherrill AM, Maples-Keller JL, Yasinski CW, Loucks LA, Rothbaum BO, Rauch SAM. Perceived benefits and drawbacks of massed prolonged exposure: qualitative thematic analysis of reactions from treatment completers. Psychol Trauma. 2022;14(5):862-870. doi:10.1037/tra0000548
  20. Gaudet T, Kligler B. Whole health in the whole system of the Veterans Administration: how will we know we have reached this future state? J Altern Complement Med. 2019;25(S1):S7-S11. doi:10.1089/acm.2018.29061.gau
  21. Dryden EM, Bolton RE, Bokhour BG, et al. Leaning Into whole health: sustaining system transformation while supporting patients and employees during COVID-19. Glob Adv Health Med. 2021;10:21649561211021047. doi:10.1177/21649561211021047
  22. Cacciola JS, Alterman AI, Dephilippis D, et al. Development and initial evaluation of the Brief Addiction Monitor (BAM). J Subst Abuse Treat. 2013;44(3):256-263. doi:10.1016/j.jsat.2012.07.013
  23. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092-1097. doi:10.1001/archinte.166.10.1092
  24. Kroenke K, Spi tze r RL , Wi l l i ams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  25. Stevanovic D. Quality of Life Enjoyment and Satisfaction Questionnaire-short form for quality of life assessments in clinical practice: a psychometric study. J Psychiatr Ment Health Nurs. 2011;18(8):744-750. doi:10.1111/j.1365-2850.2011.01735.x
  26. Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, Schnurr PP. The PTSD Checklist for DSM-5 (PCL- 5). National Center for PTSD. Updated August 29, 2023. Accessed February 27, 2025. https://www.ptsd.va.gov/professional/assessment/documents/PCL5_Standard_form.pdf
  27. Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
  28. Stamm BH. The Concise ProQOL Manual. 2nd ed. Pro- QOL.org; 2010.
References
  1. American Psychological Association. Clinical Practice Guideline for the Treatment of Posttraumatic Stress Disorder (PTSD) in Adults. February 24, 2017. Accessed February 27, 2025. https://www.apa.org/ptsd-guideline/ptsd.pdf
  2. US Department of Veterans Affairs, Veterans Health Administration. Uniform mental health services in VA medical centers and clinics. Veterans Health Administration (VHA) Handbook 1160.01. September 11, 2008. Accessed February 27, 2025. https://www.mentalhealth.va.gov/providers/sud/docs/UniformServicesHandbook1160-01.pdf
  3. US Department of Veterans Affairs, US Department of Defense. VA/DoD clinical practice guideline for the management of posttraumatic stress disorder and acute stress disorder. Version 3. 2017. Accessed February 27, 2025. https://www.healthquality.va.gov/guidelines/MH/ptsd/VA-DoD-CPG-PTSD-Full-CPG-Edited-11162024.pdf
  4. Hamblen JL, Bernardy NC, Sherrieb K, et al. VA PTSD clinic director perspectives: How perceptions of readiness influence delivery of evidence-based PTSD treatment. Prof Psychol Res Pract. 2015;46(2): 90-96. doi:10.1037/a0038535
  5. Schnurr PP, Chard KM, Ruzek JI, et al. Comparison of prolonged exposure vs cognitive processing therapy for treatment of posttraumatic stress disorder among US veterans: a randomized clinical trial. JAMA Netw Open. 2022;5(1):e2136921. doi:10.1001/jamanetworkopen. 2021.36921
  6. Kehle-Forbes SM, Meis LA, Spoont MR, Polusny MA. Treatment initiation and dropout from prolonged exposure and cognitive processing therapy in a VA outpatient clinic. Psychol Trauma. 2016;8(1):107-114. doi:10.1037/tra0000065
  7. Mott JM, Mondragon S, Hundt NE, Beason-Smith M, Grady RH, Teng EJ. Characteristics of U.S. veterans who begin and complete prolonged exposure and cognitive processing therapy for PTSD. J Trauma Stress. 2014;27(3):265-273. doi:10.1002/jts.21927
  8. Shiner B, D’Avolio LW, Nguyen TM, et al. Measuring use of evidence based psychotherapy for posttraumatic stress disorder. Adm Policy Ment Health. 2013;40(4):311-318. doi:10.1007/s10488-012-0421-0
  9. Maguen S, Holder N, Madden E, et al. Evidence-based psychotherapy trends among posttraumatic stress disorder patients in a national healthcare system, 2001-2014. Depress Anxiety. 2020;37(4):356-364. doi:10.1002/da.22983
  10. Maguen S, Li Y, Madden E, et al. Factors associated with completing evidence-based psychotherapy for PTSD among veterans in a national healthcare system. Psychiatry Res. 2019;274:112-128. doi:10.1016/j.psychres.2019.02.027
  11. Foa EB, McLean CP, Zang Y, et al. Effect of prolonged exposure therapy delivered over 2 weeks vs 8 weeks vs present-centered therapy on PTSD symptom severity in military personnel: a randomized clinical trial. JAMA. 2018;319(4):354-364. doi:10.1001/jama.2017.21242
  12. Yamokoski C, Flores H, Facemire V, Maieritsch K, Perez S, Fedynich A. Feasibility of an intensive outpatient treatment program for posttraumatic stress disorder within the veterans health care administration. Psychol Serv. 2023;20(3):506-515. doi:10.1037/ser0000628
  13. McLean CP, Foa EB. State of the Science: Prolonged exposure therapy for the treatment of posttraumatic stress disorder. J Trauma Stress. 2024;37(4):535-550. doi:10.1002/jts.23046
  14. McLean CP, Levy HC, Miller ML, Tolin DF. Exposure therapy for PTSD: A meta-analysis. Clin Psychol Rev. 2022;91:102115. doi:10.1016/j.cpr.2021.102115
  15. Wells SY, Morland LA, Wilhite ER, et al. Delivering Prolonged Exposure Therapy via Videoconferencing During the COVID-19 Pandemic: An Overview of the Research and Special Considerations for Providers. J Trauma Stress. 2020;33(4):380-390. doi:10.1002/jts.22573
  16. Peterson AL, Blount TH, Foa EB, et al. Massed vs intensive outpatient prolonged exposure for combat-related posttraumatic stress disorder: a randomized clinical trial. JAMA Netw Open. 2023;6(1):e2249422. Published 2023 Jan 3. doi:10.1001/jamanetworkopen.2022.49422
  17. Ragsdale KA, Nichols AA, Mehta M, et al. Comorbid treatment of traumatic brain injury and mental health disorders. NeuroRehabilitation. 2024;55(3):375-384. doi:10.3233/NRE-230235
  18. Rauch SAM, Yasinski CW, Post LM, et al. An intensive outpatient program with prolonged exposure for veterans with posttraumatic stress disorder: retention, predictors, and patterns of change. Psychol Serv. 2021;18(4):606-618. doi:10.1037/ser0000422
  19. Sherrill AM, Maples-Keller JL, Yasinski CW, Loucks LA, Rothbaum BO, Rauch SAM. Perceived benefits and drawbacks of massed prolonged exposure: qualitative thematic analysis of reactions from treatment completers. Psychol Trauma. 2022;14(5):862-870. doi:10.1037/tra0000548
  20. Gaudet T, Kligler B. Whole health in the whole system of the Veterans Administration: how will we know we have reached this future state? J Altern Complement Med. 2019;25(S1):S7-S11. doi:10.1089/acm.2018.29061.gau
  21. Dryden EM, Bolton RE, Bokhour BG, et al. Leaning Into whole health: sustaining system transformation while supporting patients and employees during COVID-19. Glob Adv Health Med. 2021;10:21649561211021047. doi:10.1177/21649561211021047
  22. Cacciola JS, Alterman AI, Dephilippis D, et al. Development and initial evaluation of the Brief Addiction Monitor (BAM). J Subst Abuse Treat. 2013;44(3):256-263. doi:10.1016/j.jsat.2012.07.013
  23. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092-1097. doi:10.1001/archinte.166.10.1092
  24. Kroenke K, Spi tze r RL , Wi l l i ams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  25. Stevanovic D. Quality of Life Enjoyment and Satisfaction Questionnaire-short form for quality of life assessments in clinical practice: a psychometric study. J Psychiatr Ment Health Nurs. 2011;18(8):744-750. doi:10.1111/j.1365-2850.2011.01735.x
  26. Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, Schnurr PP. The PTSD Checklist for DSM-5 (PCL- 5). National Center for PTSD. Updated August 29, 2023. Accessed February 27, 2025. https://www.ptsd.va.gov/professional/assessment/documents/PCL5_Standard_form.pdf
  27. Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28(6):489-498. doi:10.1002/jts.22059
  28. Stamm BH. The Concise ProQOL Manual. 2nd ed. Pro- QOL.org; 2010.
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Accelerated Prolonged Exposure Therapy for Posttraumatic Stress Disorder in a Veterans Health Administration System

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