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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 New First-Line Option in BRAF-Mutant Metastatic CRC?

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A New First-Line Option in BRAF-Mutant Metastatic CRC?

The targeted therapy combination of encorafenib and cetuximab with FOLFIRI (leucovorin/5-fluorouracil [FU]/irinotecan) chemotherapy may be a new first-line option for patients with BRAF V600E-mutant metastatic colorectal cancer (CRC), according to new results from the BREAKWATER trial.

After a median follow-up of about 10 months, response rates were significantly better with encorafenib and cetuximab plus FOLFIRI than with FOLFIRI alone — without increasing side effects.

The findings, presented at the ASCO Gastrointestinal Cancers Symposium 2026, point to a potential new option for the 20%-25% of patients with BRAF V600E-mutant metastatic CRC who receive FOLFIRI as their chemotherapy.

Based on previous results from BREAKWATER, the FDA granted accelerated approval to first-line encorafenib (Braftovi) and cetuximab (Erbitux) plus mFOLFOX6 for this patient population. That regimen doubled median overall survival compared with standard chemotherapy with or without bevacizumab.

Cohort 3 of BREAKWATER was designed to address a specific question: Are the benefits with the targeted therapy duo a “FOLFOX-specific phenomenon?” lead investigator Scott Kopetz, MD, PhD, of MD Anderson Cancer Center, Houston, said during a press briefing.

Based on these early results, the answer is no. Instead, Kopetz said, there appears to be a “broader synergy” between the targeted therapies and cytotoxic chemotherapy.

Joel Saltzman, MD, ASCO expert in gastrointestinal cancers based at Taussig Cancer Center, Cleveland Clinic in Cleveland, agreed.

“The additional data from the BREAKWATER trial reveals that it is the targeted therapy backbone that provides the better disease control and response rate in BRAF V600E-mutant colorectal cancers,” he said.

BRAF V600E mutations occur in up to 12% of patients with metastatic CRC and are associated with poor outcomes. While many newly diagnosed patients receive FOLFOX (leucovorin/5-FU/oxaliplatin) in the first line, FOLFIRI is a common alternative — often due to concerns about oxaliplatin-associated peripheral neuropathy, Kopetz noted.

The safety lead-in portion of BREAKWATER showed that encorafenib and cetuximab plus FOLFIRI were tolerable and had promising antitumor activity.

Cohort 3 of the trial included 147 patients (mean age, 62 years; 46% male) with BRAF V600E-mutant metastatic CRC, no prior systemic treatment, and good performance status (Eastern Cooperative Oncology Group PS 0 or 1); 73 patients were randomly allocated to encorafenib and cetuximab plus FOLFIRI and 74 to FOLFIRI with or without bevacizumab. The primary endpoint was objective response rate assessed by blinded independent central review.

After a median follow-up of 10 months, patients in the targeted therapy group had an objective response rate of 64.4% vs 39.2% among patients who received FOLFIRI alone or with bevacizumab (odds ratio, 2.76; P = .001).

Responses to the targeted therapies were “rapid and durable,” Kopetz said. More than half (57.4%) of patients treated with encorafenib and cetuximab and FOLFIRI had a duration of response of 6 months or longer than 34.5% in the control group.

Data on overall survival, a secondary endpoint, were not yet mature, but there was a trend toward improved survival with targeted therapy.

Importantly, Kopetz reported, there were no new safety signals, and serious treatment-emergent adverse events occurred at a similar rate in both treatment groups: 39.4% in the targeted therapy group and 36.8% in the control group.

The most common adverse events in both groups included nausea, diarrhea, vomiting, fatigue, appetite loss, and alopecia. About 10% of patients in the targeted therapy group and 9% of those in the control group discontinued their treatment early, suggesting the severity of side effects was similar between the groups.

Kopetz cautioned that the data are still early and follow-up is ongoing. However, he said, the findings support the targeted drugs plus FOLFIRI as a “potential new standard of care” for this patient population.

“The addition of FOLFIRI chemotherapy in the frontline setting will give oncologists and patients more options when selecting a first-line regimen,” Saltzman said. “To have as many options as possible is certainly something we all hope for.”

The trial was funded by Pfizer. Kopetz reported consulting for Pfizer and several other pharmaceutical companies. Saltzman reported having no disclosures.

A version of this article first appeared on Medscape.com.

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The targeted therapy combination of encorafenib and cetuximab with FOLFIRI (leucovorin/5-fluorouracil [FU]/irinotecan) chemotherapy may be a new first-line option for patients with BRAF V600E-mutant metastatic colorectal cancer (CRC), according to new results from the BREAKWATER trial.

After a median follow-up of about 10 months, response rates were significantly better with encorafenib and cetuximab plus FOLFIRI than with FOLFIRI alone — without increasing side effects.

The findings, presented at the ASCO Gastrointestinal Cancers Symposium 2026, point to a potential new option for the 20%-25% of patients with BRAF V600E-mutant metastatic CRC who receive FOLFIRI as their chemotherapy.

Based on previous results from BREAKWATER, the FDA granted accelerated approval to first-line encorafenib (Braftovi) and cetuximab (Erbitux) plus mFOLFOX6 for this patient population. That regimen doubled median overall survival compared with standard chemotherapy with or without bevacizumab.

Cohort 3 of BREAKWATER was designed to address a specific question: Are the benefits with the targeted therapy duo a “FOLFOX-specific phenomenon?” lead investigator Scott Kopetz, MD, PhD, of MD Anderson Cancer Center, Houston, said during a press briefing.

Based on these early results, the answer is no. Instead, Kopetz said, there appears to be a “broader synergy” between the targeted therapies and cytotoxic chemotherapy.

Joel Saltzman, MD, ASCO expert in gastrointestinal cancers based at Taussig Cancer Center, Cleveland Clinic in Cleveland, agreed.

“The additional data from the BREAKWATER trial reveals that it is the targeted therapy backbone that provides the better disease control and response rate in BRAF V600E-mutant colorectal cancers,” he said.

BRAF V600E mutations occur in up to 12% of patients with metastatic CRC and are associated with poor outcomes. While many newly diagnosed patients receive FOLFOX (leucovorin/5-FU/oxaliplatin) in the first line, FOLFIRI is a common alternative — often due to concerns about oxaliplatin-associated peripheral neuropathy, Kopetz noted.

The safety lead-in portion of BREAKWATER showed that encorafenib and cetuximab plus FOLFIRI were tolerable and had promising antitumor activity.

Cohort 3 of the trial included 147 patients (mean age, 62 years; 46% male) with BRAF V600E-mutant metastatic CRC, no prior systemic treatment, and good performance status (Eastern Cooperative Oncology Group PS 0 or 1); 73 patients were randomly allocated to encorafenib and cetuximab plus FOLFIRI and 74 to FOLFIRI with or without bevacizumab. The primary endpoint was objective response rate assessed by blinded independent central review.

After a median follow-up of 10 months, patients in the targeted therapy group had an objective response rate of 64.4% vs 39.2% among patients who received FOLFIRI alone or with bevacizumab (odds ratio, 2.76; P = .001).

Responses to the targeted therapies were “rapid and durable,” Kopetz said. More than half (57.4%) of patients treated with encorafenib and cetuximab and FOLFIRI had a duration of response of 6 months or longer than 34.5% in the control group.

Data on overall survival, a secondary endpoint, were not yet mature, but there was a trend toward improved survival with targeted therapy.

Importantly, Kopetz reported, there were no new safety signals, and serious treatment-emergent adverse events occurred at a similar rate in both treatment groups: 39.4% in the targeted therapy group and 36.8% in the control group.

The most common adverse events in both groups included nausea, diarrhea, vomiting, fatigue, appetite loss, and alopecia. About 10% of patients in the targeted therapy group and 9% of those in the control group discontinued their treatment early, suggesting the severity of side effects was similar between the groups.

Kopetz cautioned that the data are still early and follow-up is ongoing. However, he said, the findings support the targeted drugs plus FOLFIRI as a “potential new standard of care” for this patient population.

“The addition of FOLFIRI chemotherapy in the frontline setting will give oncologists and patients more options when selecting a first-line regimen,” Saltzman said. “To have as many options as possible is certainly something we all hope for.”

The trial was funded by Pfizer. Kopetz reported consulting for Pfizer and several other pharmaceutical companies. Saltzman reported having no disclosures.

A version of this article first appeared on Medscape.com.

The targeted therapy combination of encorafenib and cetuximab with FOLFIRI (leucovorin/5-fluorouracil [FU]/irinotecan) chemotherapy may be a new first-line option for patients with BRAF V600E-mutant metastatic colorectal cancer (CRC), according to new results from the BREAKWATER trial.

After a median follow-up of about 10 months, response rates were significantly better with encorafenib and cetuximab plus FOLFIRI than with FOLFIRI alone — without increasing side effects.

The findings, presented at the ASCO Gastrointestinal Cancers Symposium 2026, point to a potential new option for the 20%-25% of patients with BRAF V600E-mutant metastatic CRC who receive FOLFIRI as their chemotherapy.

Based on previous results from BREAKWATER, the FDA granted accelerated approval to first-line encorafenib (Braftovi) and cetuximab (Erbitux) plus mFOLFOX6 for this patient population. That regimen doubled median overall survival compared with standard chemotherapy with or without bevacizumab.

Cohort 3 of BREAKWATER was designed to address a specific question: Are the benefits with the targeted therapy duo a “FOLFOX-specific phenomenon?” lead investigator Scott Kopetz, MD, PhD, of MD Anderson Cancer Center, Houston, said during a press briefing.

Based on these early results, the answer is no. Instead, Kopetz said, there appears to be a “broader synergy” between the targeted therapies and cytotoxic chemotherapy.

Joel Saltzman, MD, ASCO expert in gastrointestinal cancers based at Taussig Cancer Center, Cleveland Clinic in Cleveland, agreed.

“The additional data from the BREAKWATER trial reveals that it is the targeted therapy backbone that provides the better disease control and response rate in BRAF V600E-mutant colorectal cancers,” he said.

BRAF V600E mutations occur in up to 12% of patients with metastatic CRC and are associated with poor outcomes. While many newly diagnosed patients receive FOLFOX (leucovorin/5-FU/oxaliplatin) in the first line, FOLFIRI is a common alternative — often due to concerns about oxaliplatin-associated peripheral neuropathy, Kopetz noted.

The safety lead-in portion of BREAKWATER showed that encorafenib and cetuximab plus FOLFIRI were tolerable and had promising antitumor activity.

Cohort 3 of the trial included 147 patients (mean age, 62 years; 46% male) with BRAF V600E-mutant metastatic CRC, no prior systemic treatment, and good performance status (Eastern Cooperative Oncology Group PS 0 or 1); 73 patients were randomly allocated to encorafenib and cetuximab plus FOLFIRI and 74 to FOLFIRI with or without bevacizumab. The primary endpoint was objective response rate assessed by blinded independent central review.

After a median follow-up of 10 months, patients in the targeted therapy group had an objective response rate of 64.4% vs 39.2% among patients who received FOLFIRI alone or with bevacizumab (odds ratio, 2.76; P = .001).

Responses to the targeted therapies were “rapid and durable,” Kopetz said. More than half (57.4%) of patients treated with encorafenib and cetuximab and FOLFIRI had a duration of response of 6 months or longer than 34.5% in the control group.

Data on overall survival, a secondary endpoint, were not yet mature, but there was a trend toward improved survival with targeted therapy.

Importantly, Kopetz reported, there were no new safety signals, and serious treatment-emergent adverse events occurred at a similar rate in both treatment groups: 39.4% in the targeted therapy group and 36.8% in the control group.

The most common adverse events in both groups included nausea, diarrhea, vomiting, fatigue, appetite loss, and alopecia. About 10% of patients in the targeted therapy group and 9% of those in the control group discontinued their treatment early, suggesting the severity of side effects was similar between the groups.

Kopetz cautioned that the data are still early and follow-up is ongoing. However, he said, the findings support the targeted drugs plus FOLFIRI as a “potential new standard of care” for this patient population.

“The addition of FOLFIRI chemotherapy in the frontline setting will give oncologists and patients more options when selecting a first-line regimen,” Saltzman said. “To have as many options as possible is certainly something we all hope for.”

The trial was funded by Pfizer. Kopetz reported consulting for Pfizer and several other pharmaceutical companies. Saltzman reported having no disclosures.

A version of this article first appeared on Medscape.com.

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PTSD Boosts Risk of Violence, Legal and Financial Problems, and More

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Veterans with posttraumatic stress disorder (PTSD) were much more likely than their counterparts to be a perpetrator or victim of violence and suffer from social, legal, and financial problems, a new retrospective analysis finds.

An analysis of 62,298 matched veterans found that those newly diagnosed with PTSD were more likely to be linked to violence (adjusted odds ratio [aOR], 3.98), social problems (aOR, 2.87) legal problems (aOR, 1.75), and financial problems (aOR, 2.01), reported Ouyang et al in the November 2025 issue of the Journal of Affective Disorders.

A separate analysis of 11,758 propensity-matched veterans found that those with PTSD were more likely to experience violence (50.15% vs 11.26%), social problems (64.44% vs 25.32%), legal problems (24.84% vs 8.07%), and financial problems (48.60% vs 19.21%). 

The study does not prove that PTSD is directly linked to these problems. However, Ouyang told Federal Practitioner that the findings suggest "PTSD extends beyond psychiatric symptoms: It significantly impacts economic stability, housing security, and legal safety."

Clinicians should screen for various problems in patients with PTSD, Ouyang said, “particularly given that the risk is highest during the first year.” The study also sought to better understand the effects of PTSD over time.

“While it is established that PTSD creates serious challenges regarding employment, family dynamics, and substance use, most previous studies provided only a cross-sectional snapshot,” Ouyang said. “We aimed to understand the progression over a 10-year period.”

In addition, “previous studies relied heavily on standard diagnosis codes and missed a significant amount of unstructured data,” she said. The new study uses natural language processing, an artificial intelligence field that parses the words people use, to gain insight from clinical notes.

In the cross-sectional analysis of 62,298 veterans, including 31,149 diagnosed with PTSD in the 2011-2012 fiscal year and 31,149 without PTSD (average age 60, 91.49% male, 71.50% White and 19.27% Black), PTSD was linked to higher rates of housing instability (aOR, 1.65), barriers to care (aOR, 1.45), transitions of care (aOR, 1.58), food insecurity (aOR, 1.37), and nonspecific psychosocial needs (aOR, 1.31).

Why might PTSD be linked to violence, which was defined as perpetrated by or against the veteran?

“The primary theory centers on hyperarousal, a symptom of PTSD characterized by a state of constant high alert and anxiety,” Ouyang said. “This state creates difficulties in emotional regulation and impulse control, which can lead to aggressive reactions.”

Patients are also at risk of revictimization, Ouyang added, “where the erosion of social support networks leaves veterans more vulnerable to harm from others.”

Aspects of PTSD are also thought to contribute to problems other than violence, Ouyang said. For example, mental health struggles can make it hard to keep a job and stay financially stable “and veterans may be hesitant to seek help due to stigma until the situation becomes critical, potentially leading to housing loss.”

In terms of solutions, “clinical treatment alone is insufficient,” she said. “We recommend an integrated health care model that combines mental health treatment with referrals to social work and economic support services to address the broader determinants of well-being.”

Brian Klassen, PhD, an associate professor with the Department of Psychiatry and Behavioral Sciences at Rush University Medical Center, reviewed the study for Federal Practitioner. 

The research “underscores how problematic the diagnosis of PTSD is for folks,” said Klassen, the director of Strategic Partnership for the Road Home Program/Center for Veterans and Their Families. “It plays out in lives in trouble with relationships, work, and housing, things like that.”

How PTSD cultivates a veteran’s everyday life is important for clinicians to understand, he said. “A lot of our treatments directly target symptoms: how to help people sleep better, manage their mood. This encourages practitioners to look at the whole person,” Klassen said. “What other kind of resource needs might this person have that are related to—or maybe caused by—their PTSD diagnosis?”

These resources can “include things like job training and housing and financial assistance, maybe help to get out in the community and form relationships with people.”

The US Department of Veterans Affairs and National Institutes of Health funded the study. The study authors and Klassen have no disclosures. 

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Veterans with posttraumatic stress disorder (PTSD) were much more likely than their counterparts to be a perpetrator or victim of violence and suffer from social, legal, and financial problems, a new retrospective analysis finds.

An analysis of 62,298 matched veterans found that those newly diagnosed with PTSD were more likely to be linked to violence (adjusted odds ratio [aOR], 3.98), social problems (aOR, 2.87) legal problems (aOR, 1.75), and financial problems (aOR, 2.01), reported Ouyang et al in the November 2025 issue of the Journal of Affective Disorders.

A separate analysis of 11,758 propensity-matched veterans found that those with PTSD were more likely to experience violence (50.15% vs 11.26%), social problems (64.44% vs 25.32%), legal problems (24.84% vs 8.07%), and financial problems (48.60% vs 19.21%). 

The study does not prove that PTSD is directly linked to these problems. However, Ouyang told Federal Practitioner that the findings suggest "PTSD extends beyond psychiatric symptoms: It significantly impacts economic stability, housing security, and legal safety."

Clinicians should screen for various problems in patients with PTSD, Ouyang said, “particularly given that the risk is highest during the first year.” The study also sought to better understand the effects of PTSD over time.

“While it is established that PTSD creates serious challenges regarding employment, family dynamics, and substance use, most previous studies provided only a cross-sectional snapshot,” Ouyang said. “We aimed to understand the progression over a 10-year period.”

In addition, “previous studies relied heavily on standard diagnosis codes and missed a significant amount of unstructured data,” she said. The new study uses natural language processing, an artificial intelligence field that parses the words people use, to gain insight from clinical notes.

In the cross-sectional analysis of 62,298 veterans, including 31,149 diagnosed with PTSD in the 2011-2012 fiscal year and 31,149 without PTSD (average age 60, 91.49% male, 71.50% White and 19.27% Black), PTSD was linked to higher rates of housing instability (aOR, 1.65), barriers to care (aOR, 1.45), transitions of care (aOR, 1.58), food insecurity (aOR, 1.37), and nonspecific psychosocial needs (aOR, 1.31).

Why might PTSD be linked to violence, which was defined as perpetrated by or against the veteran?

“The primary theory centers on hyperarousal, a symptom of PTSD characterized by a state of constant high alert and anxiety,” Ouyang said. “This state creates difficulties in emotional regulation and impulse control, which can lead to aggressive reactions.”

Patients are also at risk of revictimization, Ouyang added, “where the erosion of social support networks leaves veterans more vulnerable to harm from others.”

Aspects of PTSD are also thought to contribute to problems other than violence, Ouyang said. For example, mental health struggles can make it hard to keep a job and stay financially stable “and veterans may be hesitant to seek help due to stigma until the situation becomes critical, potentially leading to housing loss.”

In terms of solutions, “clinical treatment alone is insufficient,” she said. “We recommend an integrated health care model that combines mental health treatment with referrals to social work and economic support services to address the broader determinants of well-being.”

Brian Klassen, PhD, an associate professor with the Department of Psychiatry and Behavioral Sciences at Rush University Medical Center, reviewed the study for Federal Practitioner. 

The research “underscores how problematic the diagnosis of PTSD is for folks,” said Klassen, the director of Strategic Partnership for the Road Home Program/Center for Veterans and Their Families. “It plays out in lives in trouble with relationships, work, and housing, things like that.”

How PTSD cultivates a veteran’s everyday life is important for clinicians to understand, he said. “A lot of our treatments directly target symptoms: how to help people sleep better, manage their mood. This encourages practitioners to look at the whole person,” Klassen said. “What other kind of resource needs might this person have that are related to—or maybe caused by—their PTSD diagnosis?”

These resources can “include things like job training and housing and financial assistance, maybe help to get out in the community and form relationships with people.”

The US Department of Veterans Affairs and National Institutes of Health funded the study. The study authors and Klassen have no disclosures. 

Veterans with posttraumatic stress disorder (PTSD) were much more likely than their counterparts to be a perpetrator or victim of violence and suffer from social, legal, and financial problems, a new retrospective analysis finds.

An analysis of 62,298 matched veterans found that those newly diagnosed with PTSD were more likely to be linked to violence (adjusted odds ratio [aOR], 3.98), social problems (aOR, 2.87) legal problems (aOR, 1.75), and financial problems (aOR, 2.01), reported Ouyang et al in the November 2025 issue of the Journal of Affective Disorders.

A separate analysis of 11,758 propensity-matched veterans found that those with PTSD were more likely to experience violence (50.15% vs 11.26%), social problems (64.44% vs 25.32%), legal problems (24.84% vs 8.07%), and financial problems (48.60% vs 19.21%). 

The study does not prove that PTSD is directly linked to these problems. However, Ouyang told Federal Practitioner that the findings suggest "PTSD extends beyond psychiatric symptoms: It significantly impacts economic stability, housing security, and legal safety."

Clinicians should screen for various problems in patients with PTSD, Ouyang said, “particularly given that the risk is highest during the first year.” The study also sought to better understand the effects of PTSD over time.

“While it is established that PTSD creates serious challenges regarding employment, family dynamics, and substance use, most previous studies provided only a cross-sectional snapshot,” Ouyang said. “We aimed to understand the progression over a 10-year period.”

In addition, “previous studies relied heavily on standard diagnosis codes and missed a significant amount of unstructured data,” she said. The new study uses natural language processing, an artificial intelligence field that parses the words people use, to gain insight from clinical notes.

In the cross-sectional analysis of 62,298 veterans, including 31,149 diagnosed with PTSD in the 2011-2012 fiscal year and 31,149 without PTSD (average age 60, 91.49% male, 71.50% White and 19.27% Black), PTSD was linked to higher rates of housing instability (aOR, 1.65), barriers to care (aOR, 1.45), transitions of care (aOR, 1.58), food insecurity (aOR, 1.37), and nonspecific psychosocial needs (aOR, 1.31).

Why might PTSD be linked to violence, which was defined as perpetrated by or against the veteran?

“The primary theory centers on hyperarousal, a symptom of PTSD characterized by a state of constant high alert and anxiety,” Ouyang said. “This state creates difficulties in emotional regulation and impulse control, which can lead to aggressive reactions.”

Patients are also at risk of revictimization, Ouyang added, “where the erosion of social support networks leaves veterans more vulnerable to harm from others.”

Aspects of PTSD are also thought to contribute to problems other than violence, Ouyang said. For example, mental health struggles can make it hard to keep a job and stay financially stable “and veterans may be hesitant to seek help due to stigma until the situation becomes critical, potentially leading to housing loss.”

In terms of solutions, “clinical treatment alone is insufficient,” she said. “We recommend an integrated health care model that combines mental health treatment with referrals to social work and economic support services to address the broader determinants of well-being.”

Brian Klassen, PhD, an associate professor with the Department of Psychiatry and Behavioral Sciences at Rush University Medical Center, reviewed the study for Federal Practitioner. 

The research “underscores how problematic the diagnosis of PTSD is for folks,” said Klassen, the director of Strategic Partnership for the Road Home Program/Center for Veterans and Their Families. “It plays out in lives in trouble with relationships, work, and housing, things like that.”

How PTSD cultivates a veteran’s everyday life is important for clinicians to understand, he said. “A lot of our treatments directly target symptoms: how to help people sleep better, manage their mood. This encourages practitioners to look at the whole person,” Klassen said. “What other kind of resource needs might this person have that are related to—or maybe caused by—their PTSD diagnosis?”

These resources can “include things like job training and housing and financial assistance, maybe help to get out in the community and form relationships with people.”

The US Department of Veterans Affairs and National Institutes of Health funded the study. The study authors and Klassen have no disclosures. 

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GLP-1 Drugs Tied to Lower CRC Risk and Better Outcomes

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GLP-1 Drugs Tied to Lower CRC Risk and Better Outcomes

The GLP-1 drugs widely prescribed for diabetes and weight loss might also help reduce the risk for colorectal cancer and possibly improve outcomes in people who have the disease, according to a series of studies presented at ASCO Gastrointestinal Cancers Symposium 2026.

In one study, researchers observed a 36% lower risk for colorectal cancer among people who used GLP-1 receptor agonists vs those who used aspirin — a drug long investigated for colorectal cancer primary prevention.

While aspirin has shown “modest efficacy” in that regard, it also carries a bleeding risk that limits its use, Colton Jones, MD, a hematology and oncology fellow with The University of Texas San Antonio, told conference attendees.

Emerging evidence suggests that GLP-1s possess anti-inflammatory and anti-neoplastic properties, while some recent observational studies have linked the medications to reduced risks for certain cancers, particularly obesity-related types.

However, Jones said, research into a possible role for GLP-1s in cancer risk reduction is still in the early stages.

Prevention Potential

To conduct a “real-world” analysis, Jones and his colleagues turned to the TriNetX database, which contains electronic health records from about 150 million patients at more than 100 US healthcare organizations.

The researchers created two propensity score-matched cohorts of GLP-1 users and aspirin users, with 140,828 patients (average age, 58 years) in each. None had a history of colorectal cancer, and none were using anti-inflammatory medications other than aspirin or glucose-lowering drugs other than a GLP-1.

During a median follow-up of 5-6 years, GLP-1 use was significantly associated with reduced colorectal cancer incidence compared with aspirin use (hazard ratio [HR], 0.64). The findings were similar among people considered to be at an increased colorectal cancer risk due to health or family history: In that group, GLP-1 users had a roughly 42% lower risk of the disease (HR, 0.58).

Overall, the risk reduction with GLP-1 use was seen regardless of obesity or diabetes status, but the association was strongest among people who began treatment before age 45.

When the researchers examined individual GLP-1 medications, only semaglutide (Ozempic), liraglutide (Saxenda/Victoza), and dulaglutide (Trulicity) were associated with significant risk reductions.

As for safety outcomes, aspirin users had slightly higher rates of gastrointestinal bleeding and gastric ulcers and were more likely to suffer acute kidney injury (2.8% vs 1.15% among GLP-1 users; HR, 0.37). GLP-1 users experienced more diarrhea (6.8% vs 5.4%) and abdominal pain (19% vs 16.3%) than aspirin users did.

Jones said that both the risk reduction and safety profile associated with GLP-1s “underscore a potential public health impact” and warrant prospective validation.

Study discussant Joel Saltzman, MD, an ASCO gastrointestinal cancer expert, called the findings “thought-provoking.”

Broadly, he said, the study raises important questions about how metabolic disease, obesity, and cancer risk are interconnected — and how prevention strategies might evolve as more data emerge.

“It will certainly be interesting over the upcoming years to see how [GLP-1s] fit into colorectal cancer prevention,” said Saltzman, of Taussig Cancer Center, Cleveland Clinic, Cleveland.

Improved CRC Outcomes?

Looking beyond prevention, Jones and his colleagues conducted a separate analysis of patients diagnosed with colorectal cancer, to see whether GLP-1 therapy was associated with outcomes.

In that analysis, also using the TriNetX database, they matched 5170 patients with colorectal cancer who were on GLP-1 therapy with the same number of patients who were not on a GLP-1 medication.

Over 10 years, GLP-1 use was associated with a 53% reduction in all-cause mortality compared with nonuse (HR, 0.47), corresponding to an absolute risk reduction of 5.6% and a number needed to treat of 18.

The survival benefit was consistent across age, diabetes status, BMI, cancer stage, and treatment subgroups. GLP-1 use was not associated with a statistically significant change in the risk for metastases (HR, 0.895).

Meanwhile, another study presented at the meeting, by researchers at Mayo Clinic, Jacksonville, Florida, yielded similar findings.

Researchers led by Yajur Arya, MD, focused specifically on patients with colon cancer and comorbid obesity comparing outcomes in nearly 2000 patients taking a GLP-1 with more than 16,000 matched patients who were not on a GLP-1 agent.

Over 5 years of follow-up, GLP-1 users had a lower risk for overall mortality (HR, 0.46). They also showed decreased risks for myocardial infarction (HR, 0.83), sepsis (risk difference, -3.48%), and need for mechanical ventilation (HR, 0.49).

Both Jones and Arya stressed, however, that the findings only serve to highlight possible benefits of GLP-1 use beyond diabetes and weight management. Prospective studies, they said, are needed to better understand why these associations exist, and to potentially guide practice in the future.

None of the studies had commercial funding. Jones, Arya, and Saltzman had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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The GLP-1 drugs widely prescribed for diabetes and weight loss might also help reduce the risk for colorectal cancer and possibly improve outcomes in people who have the disease, according to a series of studies presented at ASCO Gastrointestinal Cancers Symposium 2026.

In one study, researchers observed a 36% lower risk for colorectal cancer among people who used GLP-1 receptor agonists vs those who used aspirin — a drug long investigated for colorectal cancer primary prevention.

While aspirin has shown “modest efficacy” in that regard, it also carries a bleeding risk that limits its use, Colton Jones, MD, a hematology and oncology fellow with The University of Texas San Antonio, told conference attendees.

Emerging evidence suggests that GLP-1s possess anti-inflammatory and anti-neoplastic properties, while some recent observational studies have linked the medications to reduced risks for certain cancers, particularly obesity-related types.

However, Jones said, research into a possible role for GLP-1s in cancer risk reduction is still in the early stages.

Prevention Potential

To conduct a “real-world” analysis, Jones and his colleagues turned to the TriNetX database, which contains electronic health records from about 150 million patients at more than 100 US healthcare organizations.

The researchers created two propensity score-matched cohorts of GLP-1 users and aspirin users, with 140,828 patients (average age, 58 years) in each. None had a history of colorectal cancer, and none were using anti-inflammatory medications other than aspirin or glucose-lowering drugs other than a GLP-1.

During a median follow-up of 5-6 years, GLP-1 use was significantly associated with reduced colorectal cancer incidence compared with aspirin use (hazard ratio [HR], 0.64). The findings were similar among people considered to be at an increased colorectal cancer risk due to health or family history: In that group, GLP-1 users had a roughly 42% lower risk of the disease (HR, 0.58).

Overall, the risk reduction with GLP-1 use was seen regardless of obesity or diabetes status, but the association was strongest among people who began treatment before age 45.

When the researchers examined individual GLP-1 medications, only semaglutide (Ozempic), liraglutide (Saxenda/Victoza), and dulaglutide (Trulicity) were associated with significant risk reductions.

As for safety outcomes, aspirin users had slightly higher rates of gastrointestinal bleeding and gastric ulcers and were more likely to suffer acute kidney injury (2.8% vs 1.15% among GLP-1 users; HR, 0.37). GLP-1 users experienced more diarrhea (6.8% vs 5.4%) and abdominal pain (19% vs 16.3%) than aspirin users did.

Jones said that both the risk reduction and safety profile associated with GLP-1s “underscore a potential public health impact” and warrant prospective validation.

Study discussant Joel Saltzman, MD, an ASCO gastrointestinal cancer expert, called the findings “thought-provoking.”

Broadly, he said, the study raises important questions about how metabolic disease, obesity, and cancer risk are interconnected — and how prevention strategies might evolve as more data emerge.

“It will certainly be interesting over the upcoming years to see how [GLP-1s] fit into colorectal cancer prevention,” said Saltzman, of Taussig Cancer Center, Cleveland Clinic, Cleveland.

Improved CRC Outcomes?

Looking beyond prevention, Jones and his colleagues conducted a separate analysis of patients diagnosed with colorectal cancer, to see whether GLP-1 therapy was associated with outcomes.

In that analysis, also using the TriNetX database, they matched 5170 patients with colorectal cancer who were on GLP-1 therapy with the same number of patients who were not on a GLP-1 medication.

Over 10 years, GLP-1 use was associated with a 53% reduction in all-cause mortality compared with nonuse (HR, 0.47), corresponding to an absolute risk reduction of 5.6% and a number needed to treat of 18.

The survival benefit was consistent across age, diabetes status, BMI, cancer stage, and treatment subgroups. GLP-1 use was not associated with a statistically significant change in the risk for metastases (HR, 0.895).

Meanwhile, another study presented at the meeting, by researchers at Mayo Clinic, Jacksonville, Florida, yielded similar findings.

Researchers led by Yajur Arya, MD, focused specifically on patients with colon cancer and comorbid obesity comparing outcomes in nearly 2000 patients taking a GLP-1 with more than 16,000 matched patients who were not on a GLP-1 agent.

Over 5 years of follow-up, GLP-1 users had a lower risk for overall mortality (HR, 0.46). They also showed decreased risks for myocardial infarction (HR, 0.83), sepsis (risk difference, -3.48%), and need for mechanical ventilation (HR, 0.49).

Both Jones and Arya stressed, however, that the findings only serve to highlight possible benefits of GLP-1 use beyond diabetes and weight management. Prospective studies, they said, are needed to better understand why these associations exist, and to potentially guide practice in the future.

None of the studies had commercial funding. Jones, Arya, and Saltzman had no relevant disclosures.

A version of this article first appeared on Medscape.com.

The GLP-1 drugs widely prescribed for diabetes and weight loss might also help reduce the risk for colorectal cancer and possibly improve outcomes in people who have the disease, according to a series of studies presented at ASCO Gastrointestinal Cancers Symposium 2026.

In one study, researchers observed a 36% lower risk for colorectal cancer among people who used GLP-1 receptor agonists vs those who used aspirin — a drug long investigated for colorectal cancer primary prevention.

While aspirin has shown “modest efficacy” in that regard, it also carries a bleeding risk that limits its use, Colton Jones, MD, a hematology and oncology fellow with The University of Texas San Antonio, told conference attendees.

Emerging evidence suggests that GLP-1s possess anti-inflammatory and anti-neoplastic properties, while some recent observational studies have linked the medications to reduced risks for certain cancers, particularly obesity-related types.

However, Jones said, research into a possible role for GLP-1s in cancer risk reduction is still in the early stages.

Prevention Potential

To conduct a “real-world” analysis, Jones and his colleagues turned to the TriNetX database, which contains electronic health records from about 150 million patients at more than 100 US healthcare organizations.

The researchers created two propensity score-matched cohorts of GLP-1 users and aspirin users, with 140,828 patients (average age, 58 years) in each. None had a history of colorectal cancer, and none were using anti-inflammatory medications other than aspirin or glucose-lowering drugs other than a GLP-1.

During a median follow-up of 5-6 years, GLP-1 use was significantly associated with reduced colorectal cancer incidence compared with aspirin use (hazard ratio [HR], 0.64). The findings were similar among people considered to be at an increased colorectal cancer risk due to health or family history: In that group, GLP-1 users had a roughly 42% lower risk of the disease (HR, 0.58).

Overall, the risk reduction with GLP-1 use was seen regardless of obesity or diabetes status, but the association was strongest among people who began treatment before age 45.

When the researchers examined individual GLP-1 medications, only semaglutide (Ozempic), liraglutide (Saxenda/Victoza), and dulaglutide (Trulicity) were associated with significant risk reductions.

As for safety outcomes, aspirin users had slightly higher rates of gastrointestinal bleeding and gastric ulcers and were more likely to suffer acute kidney injury (2.8% vs 1.15% among GLP-1 users; HR, 0.37). GLP-1 users experienced more diarrhea (6.8% vs 5.4%) and abdominal pain (19% vs 16.3%) than aspirin users did.

Jones said that both the risk reduction and safety profile associated with GLP-1s “underscore a potential public health impact” and warrant prospective validation.

Study discussant Joel Saltzman, MD, an ASCO gastrointestinal cancer expert, called the findings “thought-provoking.”

Broadly, he said, the study raises important questions about how metabolic disease, obesity, and cancer risk are interconnected — and how prevention strategies might evolve as more data emerge.

“It will certainly be interesting over the upcoming years to see how [GLP-1s] fit into colorectal cancer prevention,” said Saltzman, of Taussig Cancer Center, Cleveland Clinic, Cleveland.

Improved CRC Outcomes?

Looking beyond prevention, Jones and his colleagues conducted a separate analysis of patients diagnosed with colorectal cancer, to see whether GLP-1 therapy was associated with outcomes.

In that analysis, also using the TriNetX database, they matched 5170 patients with colorectal cancer who were on GLP-1 therapy with the same number of patients who were not on a GLP-1 medication.

Over 10 years, GLP-1 use was associated with a 53% reduction in all-cause mortality compared with nonuse (HR, 0.47), corresponding to an absolute risk reduction of 5.6% and a number needed to treat of 18.

The survival benefit was consistent across age, diabetes status, BMI, cancer stage, and treatment subgroups. GLP-1 use was not associated with a statistically significant change in the risk for metastases (HR, 0.895).

Meanwhile, another study presented at the meeting, by researchers at Mayo Clinic, Jacksonville, Florida, yielded similar findings.

Researchers led by Yajur Arya, MD, focused specifically on patients with colon cancer and comorbid obesity comparing outcomes in nearly 2000 patients taking a GLP-1 with more than 16,000 matched patients who were not on a GLP-1 agent.

Over 5 years of follow-up, GLP-1 users had a lower risk for overall mortality (HR, 0.46). They also showed decreased risks for myocardial infarction (HR, 0.83), sepsis (risk difference, -3.48%), and need for mechanical ventilation (HR, 0.49).

Both Jones and Arya stressed, however, that the findings only serve to highlight possible benefits of GLP-1 use beyond diabetes and weight management. Prospective studies, they said, are needed to better understand why these associations exist, and to potentially guide practice in the future.

None of the studies had commercial funding. Jones, Arya, and Saltzman had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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Cannabis May Ease Symptoms in Advanced Pancreatic Cancer

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Cannabis May Ease Symptoms in Advanced Pancreatic Cancer

TOPLINE:

A randomized trial of 32 patients with advanced pancreatic cancer found that early access to medical cannabis patients' symptom burden, with minimal side effects.

METHODOLOGY:

  • Patients with pancreatic cancer commonly experience moderate-to-severe pain, nausea, insomnia, and other symptoms that significantly affect their quality of life. Current management approaches are insufficient. Preliminary evidence suggests that medical cannabis has efficacy against multiple cancer-related symptoms, but high-quality data remain limited due to regulatory barriers.
  • Researchers conducted a pilot randomized, waitlist-controlled trial involving 32 patients (median age, 71 years) with newly diagnosed locally advanced or metastatic pancreatic adenocarcinoma and at least one burdensome symptom.
  • Patients were randomly assigned in a 1:1 ratio to early (0-8 weeks) or delayed (9-16 weeks) cannabis intervention through the Minnesota Medical Cannabis Program, which provided cannabis products and education in how to use them.
  • Primary outcomes focused on feasibility, while secondary outcomes examined acceptability, changes in symptom burden, and quality of life in exploratory efficacy analyses.

TAKEAWAY:

  • At baseline, patients reported a substantial moderate-to-severe symptom burden — most commonly insomnia (85%), pain (77%), and appetite loss (69%); 10 patients (31%) were using opioids.
  • The study met all of its feasibility metrics, with 74% of the patients meeting enrollment eligibility and 81% complying with their random assignment. Patients in the arm with early cannabis access typically picked up their products 3 days after starting chemotherapy. Most used tablets or other oral cannabis formulations.
  • At 8 weeks, patients in the early-access arm experienced numerically higher rates of improvement in pain (44% vs 20%; P = .35), appetite (56% vs 30%; P = .37), and insomnia (67% vs 30%; P = .18), as well as a reduction in opioid use. Their rates of potential cannabis side effects, including dry mouth, dizziness, and concentration problems, were lower compared with the waitlist group — possibly, the authors noted, due to their education to “start low, go slow.”
  • Patients made a median of two trips to a cannabis dispensary during the study period, and most said that using cannabis was “easy” and “practical.”

IN PRACTICE:

“Early access to medical cannabis was associated with improvement in certain symptoms, such as insomnia, with minimal harms,” the authors wrote, adding that the research design offers a model collaboration between investigators and state cannabis programs.

“The encouraging preliminary efficacy and safety of cannabis in managing symptoms supports further exploration," they concluded.

SOURCE:

The study was led by Dylan Zylla, MD, MS, of HealthPartners Institute, Cancer Research Center, Minneapolis, Minnesota. It was presented on January 9 at the ASCO Gastrointestinal Cancers Symposium 2026 and simultaneously published in JCO Oncology Practice.

LIMITATIONS:

The trial was small and the 8-week primary study period precluded conclusions about longer-term benefits and safety. Generalizability may be limited as the trial was conducted in a single state with a predominantly urban and White patient population. Additionally, heterogeneity in state cannabis programs and laws may limit national applicability.

DISCLOSURES:

The study was supported by philanthropic support to the HealthPartners Cancer Research Center. Cannabis products were provided by Vireo Health (GreenGoods, Minnesota). Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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TOPLINE:

A randomized trial of 32 patients with advanced pancreatic cancer found that early access to medical cannabis patients' symptom burden, with minimal side effects.

METHODOLOGY:

  • Patients with pancreatic cancer commonly experience moderate-to-severe pain, nausea, insomnia, and other symptoms that significantly affect their quality of life. Current management approaches are insufficient. Preliminary evidence suggests that medical cannabis has efficacy against multiple cancer-related symptoms, but high-quality data remain limited due to regulatory barriers.
  • Researchers conducted a pilot randomized, waitlist-controlled trial involving 32 patients (median age, 71 years) with newly diagnosed locally advanced or metastatic pancreatic adenocarcinoma and at least one burdensome symptom.
  • Patients were randomly assigned in a 1:1 ratio to early (0-8 weeks) or delayed (9-16 weeks) cannabis intervention through the Minnesota Medical Cannabis Program, which provided cannabis products and education in how to use them.
  • Primary outcomes focused on feasibility, while secondary outcomes examined acceptability, changes in symptom burden, and quality of life in exploratory efficacy analyses.

TAKEAWAY:

  • At baseline, patients reported a substantial moderate-to-severe symptom burden — most commonly insomnia (85%), pain (77%), and appetite loss (69%); 10 patients (31%) were using opioids.
  • The study met all of its feasibility metrics, with 74% of the patients meeting enrollment eligibility and 81% complying with their random assignment. Patients in the arm with early cannabis access typically picked up their products 3 days after starting chemotherapy. Most used tablets or other oral cannabis formulations.
  • At 8 weeks, patients in the early-access arm experienced numerically higher rates of improvement in pain (44% vs 20%; P = .35), appetite (56% vs 30%; P = .37), and insomnia (67% vs 30%; P = .18), as well as a reduction in opioid use. Their rates of potential cannabis side effects, including dry mouth, dizziness, and concentration problems, were lower compared with the waitlist group — possibly, the authors noted, due to their education to “start low, go slow.”
  • Patients made a median of two trips to a cannabis dispensary during the study period, and most said that using cannabis was “easy” and “practical.”

IN PRACTICE:

“Early access to medical cannabis was associated with improvement in certain symptoms, such as insomnia, with minimal harms,” the authors wrote, adding that the research design offers a model collaboration between investigators and state cannabis programs.

“The encouraging preliminary efficacy and safety of cannabis in managing symptoms supports further exploration," they concluded.

SOURCE:

The study was led by Dylan Zylla, MD, MS, of HealthPartners Institute, Cancer Research Center, Minneapolis, Minnesota. It was presented on January 9 at the ASCO Gastrointestinal Cancers Symposium 2026 and simultaneously published in JCO Oncology Practice.

LIMITATIONS:

The trial was small and the 8-week primary study period precluded conclusions about longer-term benefits and safety. Generalizability may be limited as the trial was conducted in a single state with a predominantly urban and White patient population. Additionally, heterogeneity in state cannabis programs and laws may limit national applicability.

DISCLOSURES:

The study was supported by philanthropic support to the HealthPartners Cancer Research Center. Cannabis products were provided by Vireo Health (GreenGoods, Minnesota). Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

A randomized trial of 32 patients with advanced pancreatic cancer found that early access to medical cannabis patients' symptom burden, with minimal side effects.

METHODOLOGY:

  • Patients with pancreatic cancer commonly experience moderate-to-severe pain, nausea, insomnia, and other symptoms that significantly affect their quality of life. Current management approaches are insufficient. Preliminary evidence suggests that medical cannabis has efficacy against multiple cancer-related symptoms, but high-quality data remain limited due to regulatory barriers.
  • Researchers conducted a pilot randomized, waitlist-controlled trial involving 32 patients (median age, 71 years) with newly diagnosed locally advanced or metastatic pancreatic adenocarcinoma and at least one burdensome symptom.
  • Patients were randomly assigned in a 1:1 ratio to early (0-8 weeks) or delayed (9-16 weeks) cannabis intervention through the Minnesota Medical Cannabis Program, which provided cannabis products and education in how to use them.
  • Primary outcomes focused on feasibility, while secondary outcomes examined acceptability, changes in symptom burden, and quality of life in exploratory efficacy analyses.

TAKEAWAY:

  • At baseline, patients reported a substantial moderate-to-severe symptom burden — most commonly insomnia (85%), pain (77%), and appetite loss (69%); 10 patients (31%) were using opioids.
  • The study met all of its feasibility metrics, with 74% of the patients meeting enrollment eligibility and 81% complying with their random assignment. Patients in the arm with early cannabis access typically picked up their products 3 days after starting chemotherapy. Most used tablets or other oral cannabis formulations.
  • At 8 weeks, patients in the early-access arm experienced numerically higher rates of improvement in pain (44% vs 20%; P = .35), appetite (56% vs 30%; P = .37), and insomnia (67% vs 30%; P = .18), as well as a reduction in opioid use. Their rates of potential cannabis side effects, including dry mouth, dizziness, and concentration problems, were lower compared with the waitlist group — possibly, the authors noted, due to their education to “start low, go slow.”
  • Patients made a median of two trips to a cannabis dispensary during the study period, and most said that using cannabis was “easy” and “practical.”

IN PRACTICE:

“Early access to medical cannabis was associated with improvement in certain symptoms, such as insomnia, with minimal harms,” the authors wrote, adding that the research design offers a model collaboration between investigators and state cannabis programs.

“The encouraging preliminary efficacy and safety of cannabis in managing symptoms supports further exploration," they concluded.

SOURCE:

The study was led by Dylan Zylla, MD, MS, of HealthPartners Institute, Cancer Research Center, Minneapolis, Minnesota. It was presented on January 9 at the ASCO Gastrointestinal Cancers Symposium 2026 and simultaneously published in JCO Oncology Practice.

LIMITATIONS:

The trial was small and the 8-week primary study period precluded conclusions about longer-term benefits and safety. Generalizability may be limited as the trial was conducted in a single state with a predominantly urban and White patient population. Additionally, heterogeneity in state cannabis programs and laws may limit national applicability.

DISCLOSURES:

The study was supported by philanthropic support to the HealthPartners Cancer Research Center. Cannabis products were provided by Vireo Health (GreenGoods, Minnesota). Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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Cannabis May Ease Symptoms in Advanced Pancreatic Cancer

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Cannabis May Ease Symptoms in Advanced Pancreatic Cancer

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Home Screening Cost-Effective for Anal Cancer

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Home Screening Cost-Effective for Anal Cancer

TOPLINE:

A recent analysis suggested that home-based screening for anal cancer is a cost-effective way to increase screening compared to clinic-based screening. The study found that a home-based approach led to higher participation rates (89.2% vs 74.2% for a clinic-based approach) among sexual and gender minority individuals and was cost-effective, costing $25.19 per additional individual screened when accounting for both direct and indirect costs and $132.36 per additional individual screened when only accounting for direct medical costs.

METHODOLOGY:

  • Anal cancer screening is recommended for high-risk populations, such as sexual and gender minority individuals. However, it's unclear how cost-effective home-based self-sampling is compared to clinic-based screening.
  • Researchers conducted an economic evaluation using data from a randomized clinical trial that included 240 sexual and gender minority individuals in Milwaukee from January 2020 to August 2022.
  • Participants, aged ≥ 25 years, were randomized to either home-based self-sampling or clinic-based screening.
  • Researchers evaluated direct home-based screening costs from the trial, and sourced clinic-based costs from the Medicare reimbursement schedule. Travel and time costs were determined from participant self-reports.
  • The primary outcome was the incremental cost-effectiveness ratio (ICER), which was the additional cost needed to increase screening participation by one person. The researchers calculated ICERs from both a healthcare payer and societal perspective. The healthcare perspective included only direct medical costs and the societal perspective accounted for direct medical costs as well as indirect time and travel costs.

TAKEAWAY:

  • Home-based screening led to higher participation rates than clinic-based screening—89.2% vs 74.2%—with 107 participants completing home-based screening compared with 89 participants doing clinic-based screening.
  • The cost per participant was $64.18 for home-based screening and $60.40 for clinic-based screening from the societal perspective, and $61.91 for home-based screening and $42.06 for clinic-based screening from the healthcare payer perspective.
  • With home-based screening, the ICER per additional screened participant was $25.19 from a societal perspective and $132.36 from a healthcare payer perspective.
  • From the societal perspective, the probability that home-based screening was cost-effective compared with clinic-based screening was nearly 50% at a willingness-to-pay threshold of $25 and 99.99% at a threshold of $100. From the healthcare perspective, the probability was 3.8% at a threshold of $100 and 90.9% at a threshold of $200.

IN PRACTICE:

"These findings suggest that home-based screening promises to be a cost-effective option to enhance anal cancer screening participation," the study authors concluded.

SOURCE:

The study, led by Haluk Damgacioglu, PhD, Department of Public Health Sciences, Medical University of South Carolina in Charleston, South Carolina, was published online in JAMA Network Open.

LIMITATIONS:

The study was conducted in an urban setting where proximity to clinics may reduce structural barriers, potentially limiting generalizability to rural areas where longer travel distances and limited clinician availability could affect participation rates. The analysis did not include downstream steps such as follow-up clinic visits, confirmatory testing, treatment of precancerous lesions, or cancer prevention outcomes. While home-based screening participants were required to visit clinics for digital anal rectal examination to exclude prevalent anal cancer, these follow-up visit costs were not included in the cost-effectiveness analysis.

DISCLOSURES:

Elizabeth Chiao, PhD, reported receiving grants from the National Institutes of Health during the study. Jennifer S. Smith, PhD, MPH, disclosed receiving personal fees from Hologic, Inc., and materials for research purposes from Rovers Medical Devices. Ashish A. Deshmukh, PhD, MPH, reported receiving personal fees from Value Analytics Lab. Alan G. Nyitray, PhD, reported receiving grants from the National Cancer Institute and test kits from Copan Diagnostics.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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TOPLINE:

A recent analysis suggested that home-based screening for anal cancer is a cost-effective way to increase screening compared to clinic-based screening. The study found that a home-based approach led to higher participation rates (89.2% vs 74.2% for a clinic-based approach) among sexual and gender minority individuals and was cost-effective, costing $25.19 per additional individual screened when accounting for both direct and indirect costs and $132.36 per additional individual screened when only accounting for direct medical costs.

METHODOLOGY:

  • Anal cancer screening is recommended for high-risk populations, such as sexual and gender minority individuals. However, it's unclear how cost-effective home-based self-sampling is compared to clinic-based screening.
  • Researchers conducted an economic evaluation using data from a randomized clinical trial that included 240 sexual and gender minority individuals in Milwaukee from January 2020 to August 2022.
  • Participants, aged ≥ 25 years, were randomized to either home-based self-sampling or clinic-based screening.
  • Researchers evaluated direct home-based screening costs from the trial, and sourced clinic-based costs from the Medicare reimbursement schedule. Travel and time costs were determined from participant self-reports.
  • The primary outcome was the incremental cost-effectiveness ratio (ICER), which was the additional cost needed to increase screening participation by one person. The researchers calculated ICERs from both a healthcare payer and societal perspective. The healthcare perspective included only direct medical costs and the societal perspective accounted for direct medical costs as well as indirect time and travel costs.

TAKEAWAY:

  • Home-based screening led to higher participation rates than clinic-based screening—89.2% vs 74.2%—with 107 participants completing home-based screening compared with 89 participants doing clinic-based screening.
  • The cost per participant was $64.18 for home-based screening and $60.40 for clinic-based screening from the societal perspective, and $61.91 for home-based screening and $42.06 for clinic-based screening from the healthcare payer perspective.
  • With home-based screening, the ICER per additional screened participant was $25.19 from a societal perspective and $132.36 from a healthcare payer perspective.
  • From the societal perspective, the probability that home-based screening was cost-effective compared with clinic-based screening was nearly 50% at a willingness-to-pay threshold of $25 and 99.99% at a threshold of $100. From the healthcare perspective, the probability was 3.8% at a threshold of $100 and 90.9% at a threshold of $200.

IN PRACTICE:

"These findings suggest that home-based screening promises to be a cost-effective option to enhance anal cancer screening participation," the study authors concluded.

SOURCE:

The study, led by Haluk Damgacioglu, PhD, Department of Public Health Sciences, Medical University of South Carolina in Charleston, South Carolina, was published online in JAMA Network Open.

LIMITATIONS:

The study was conducted in an urban setting where proximity to clinics may reduce structural barriers, potentially limiting generalizability to rural areas where longer travel distances and limited clinician availability could affect participation rates. The analysis did not include downstream steps such as follow-up clinic visits, confirmatory testing, treatment of precancerous lesions, or cancer prevention outcomes. While home-based screening participants were required to visit clinics for digital anal rectal examination to exclude prevalent anal cancer, these follow-up visit costs were not included in the cost-effectiveness analysis.

DISCLOSURES:

Elizabeth Chiao, PhD, reported receiving grants from the National Institutes of Health during the study. Jennifer S. Smith, PhD, MPH, disclosed receiving personal fees from Hologic, Inc., and materials for research purposes from Rovers Medical Devices. Ashish A. Deshmukh, PhD, MPH, reported receiving personal fees from Value Analytics Lab. Alan G. Nyitray, PhD, reported receiving grants from the National Cancer Institute and test kits from Copan Diagnostics.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

A recent analysis suggested that home-based screening for anal cancer is a cost-effective way to increase screening compared to clinic-based screening. The study found that a home-based approach led to higher participation rates (89.2% vs 74.2% for a clinic-based approach) among sexual and gender minority individuals and was cost-effective, costing $25.19 per additional individual screened when accounting for both direct and indirect costs and $132.36 per additional individual screened when only accounting for direct medical costs.

METHODOLOGY:

  • Anal cancer screening is recommended for high-risk populations, such as sexual and gender minority individuals. However, it's unclear how cost-effective home-based self-sampling is compared to clinic-based screening.
  • Researchers conducted an economic evaluation using data from a randomized clinical trial that included 240 sexual and gender minority individuals in Milwaukee from January 2020 to August 2022.
  • Participants, aged ≥ 25 years, were randomized to either home-based self-sampling or clinic-based screening.
  • Researchers evaluated direct home-based screening costs from the trial, and sourced clinic-based costs from the Medicare reimbursement schedule. Travel and time costs were determined from participant self-reports.
  • The primary outcome was the incremental cost-effectiveness ratio (ICER), which was the additional cost needed to increase screening participation by one person. The researchers calculated ICERs from both a healthcare payer and societal perspective. The healthcare perspective included only direct medical costs and the societal perspective accounted for direct medical costs as well as indirect time and travel costs.

TAKEAWAY:

  • Home-based screening led to higher participation rates than clinic-based screening—89.2% vs 74.2%—with 107 participants completing home-based screening compared with 89 participants doing clinic-based screening.
  • The cost per participant was $64.18 for home-based screening and $60.40 for clinic-based screening from the societal perspective, and $61.91 for home-based screening and $42.06 for clinic-based screening from the healthcare payer perspective.
  • With home-based screening, the ICER per additional screened participant was $25.19 from a societal perspective and $132.36 from a healthcare payer perspective.
  • From the societal perspective, the probability that home-based screening was cost-effective compared with clinic-based screening was nearly 50% at a willingness-to-pay threshold of $25 and 99.99% at a threshold of $100. From the healthcare perspective, the probability was 3.8% at a threshold of $100 and 90.9% at a threshold of $200.

IN PRACTICE:

"These findings suggest that home-based screening promises to be a cost-effective option to enhance anal cancer screening participation," the study authors concluded.

SOURCE:

The study, led by Haluk Damgacioglu, PhD, Department of Public Health Sciences, Medical University of South Carolina in Charleston, South Carolina, was published online in JAMA Network Open.

LIMITATIONS:

The study was conducted in an urban setting where proximity to clinics may reduce structural barriers, potentially limiting generalizability to rural areas where longer travel distances and limited clinician availability could affect participation rates. The analysis did not include downstream steps such as follow-up clinic visits, confirmatory testing, treatment of precancerous lesions, or cancer prevention outcomes. While home-based screening participants were required to visit clinics for digital anal rectal examination to exclude prevalent anal cancer, these follow-up visit costs were not included in the cost-effectiveness analysis.

DISCLOSURES:

Elizabeth Chiao, PhD, reported receiving grants from the National Institutes of Health during the study. Jennifer S. Smith, PhD, MPH, disclosed receiving personal fees from Hologic, Inc., and materials for research purposes from Rovers Medical Devices. Ashish A. Deshmukh, PhD, MPH, reported receiving personal fees from Value Analytics Lab. Alan G. Nyitray, PhD, reported receiving grants from the National Cancer Institute and test kits from Copan Diagnostics.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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Home Screening Cost-Effective for Anal Cancer

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Simple Steps: Walking May Ease Colorectal Cancer Fatigue

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Simple Steps: Walking May Ease Colorectal Cancer Fatigue

Regular physical activity—especially walking—may improve fatigue and boost quality of life for people with nonmetastatic colorectal cancer during the first 2 years after diagnosis, according to research presented at ASCO Gastrointestinal Cancers Symposium 2026.

The study, which tracked over 1700 patients with colorectal cancer, found that those with nonmetastatic disease who walked for exercise 6-12 months after their diagnosis showed significant improvement in their fatigue scores over time. Their quality-of-life ratings rose in tandem.

The findings suggest that simple, sustained movement may play a meaningful role in long-term survivorship care, lead investigator Louisa Liu, MD, of Cedars-Sinai Medical Center in Los Angeles, said during a press briefing.

“Fatigue is one of the most common and debilitating symptoms our patients experience, often long after treatment ends,” Liu noted.

The new data, she said, show that an accessible form of exercise, especially when maintained over time, “can make a real difference in how patients feel and function during recovery.”

Joel Saltzman, MD, an ASCO expert in gastrointestinal cancers based at Taussig Cancer Center, Cleveland Clinic, Cleveland, agreed.

This is a “super-important study for all of us in the cancer community,” Saltzman told the briefing, especially in light of the CHALLENGE trial.

That study demonstrated that a structured exercise program can actually improve overall survival for patients with early-stage colon cancer who completed surgery and adjuvant chemotherapy.

“When you couple that with how patients feel, it really begs the question: Are we as a society doing enough cancer rehabilitation?” Saltzman said. “Everyone’s familiar with cardiac rehab, but oncologic rehabilitation is really something that really should be thought about in the future.”

Among long-term colorectal cancer survivors, nearly 40% continue to experience moderate-to-severe fatigue years after treatment — a challenge that affects functional recovery, daily activity, and quality of life.

“Yet,” Liu said, “our toolbox of effective interventions remains limited.”

Growing evidence supports physical activity as a nonpharmacologic approach for managing cancer-related fatigue. The mechanisms, Liu noted, may be multiple and include reductions in systemic inflammation, preserved muscle mass, better sleep quality and improvements in psychological stress.

In fact, current clinical guidelines recommend physical activity as part of survivorship care, but some key questions remain unanswered, Liu said.

“We still don’t fully understand when during recovery activity is most beneficial, what types of activity are best for different patients, or how these effects play out in real-world longitudinal settings, especially in colorectal cancer survivors,” she explained.

To address some of those gaps, Liu and colleagues analyzed data from 1718 patients with colorectal cancer (mean age, 67 years; 48% women) enrolled in the International ColoCare prospective cohort study. Nearly 1 in 5 had metastatic disease at diagnosis.

Physical activity was assessed at baseline and at 6, 12, and 24 months after diagnosis using a validated questionnaire. Participants’ total number of metabolic equivalent of task (MET) minutes per week — a measurement of energy spent during physical activity — were calculated for walking, moderate activities, and vigorous activities.

Total physical activity was categorized as low (fewer than 600 MET min/wk), moderate (600-3000 MET min/wk), or high (over 3000 MET min/wk).

Cancer-related fatigue and quality of life were measured using the European Organization for Research and Treatment of Cancer QLQ-C30 scale.

Overall, patients who were more physically active reported less fatigue and better quality of life as they moved further into recovery. And walking, Liu said, showed the “clearest and most consistent” association with these improved outcomes.

Among patients with nonmetastatic disease, those who reported regular walking 6-12 months after diagnosis showed significantly lower fatigue and higher quality-of-life scores over 2 years. Fatigue scores in this group improved steadily with time, from 32.5 at diagnosis to 29 at 12 months post-diagnosis and 26.8 at 24 months post-diagnosis.

Patients with metastatic disease also showed reductions in fatigue scores — from 40.7 at diagnosis to 37.1 at 12 months and 36.4 at 24 months — although those differences did not reach statistical significance.

Liu pointed out that patients with metastatic disease, not surprisingly, reported greater fatigue and poorer quality of life across all time points vs those with early-stage disease.

So, she said, “we don’t yet have strong evidence that physical activity changes the fatigue trajectory in the long run for metastatic patients. But this is an area where more targeted research is really needed.”

Looking at patterns of physical activity, the researchers found that activity levels at the time of diagnosis did not reliably predict long-term fatigue and quality-of-life outcomes. Instead, a patient’s activity level maintained between diagnosis and 1 year follow-up was a predictor of better outcomes.

“Short-term increases in physical activity didn’t seem to make a meaningful difference,” Liu said. “This suggests that when it comes to managing cancer-related fatigue, the key is to build steady, lasting habits that patients can stick with throughout their recovery.”

The study had no commercial funding. Liu and Saltzman had no disclosures.

A version of this article first appeared on Medscape.com.

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Regular physical activity—especially walking—may improve fatigue and boost quality of life for people with nonmetastatic colorectal cancer during the first 2 years after diagnosis, according to research presented at ASCO Gastrointestinal Cancers Symposium 2026.

The study, which tracked over 1700 patients with colorectal cancer, found that those with nonmetastatic disease who walked for exercise 6-12 months after their diagnosis showed significant improvement in their fatigue scores over time. Their quality-of-life ratings rose in tandem.

The findings suggest that simple, sustained movement may play a meaningful role in long-term survivorship care, lead investigator Louisa Liu, MD, of Cedars-Sinai Medical Center in Los Angeles, said during a press briefing.

“Fatigue is one of the most common and debilitating symptoms our patients experience, often long after treatment ends,” Liu noted.

The new data, she said, show that an accessible form of exercise, especially when maintained over time, “can make a real difference in how patients feel and function during recovery.”

Joel Saltzman, MD, an ASCO expert in gastrointestinal cancers based at Taussig Cancer Center, Cleveland Clinic, Cleveland, agreed.

This is a “super-important study for all of us in the cancer community,” Saltzman told the briefing, especially in light of the CHALLENGE trial.

That study demonstrated that a structured exercise program can actually improve overall survival for patients with early-stage colon cancer who completed surgery and adjuvant chemotherapy.

“When you couple that with how patients feel, it really begs the question: Are we as a society doing enough cancer rehabilitation?” Saltzman said. “Everyone’s familiar with cardiac rehab, but oncologic rehabilitation is really something that really should be thought about in the future.”

Among long-term colorectal cancer survivors, nearly 40% continue to experience moderate-to-severe fatigue years after treatment — a challenge that affects functional recovery, daily activity, and quality of life.

“Yet,” Liu said, “our toolbox of effective interventions remains limited.”

Growing evidence supports physical activity as a nonpharmacologic approach for managing cancer-related fatigue. The mechanisms, Liu noted, may be multiple and include reductions in systemic inflammation, preserved muscle mass, better sleep quality and improvements in psychological stress.

In fact, current clinical guidelines recommend physical activity as part of survivorship care, but some key questions remain unanswered, Liu said.

“We still don’t fully understand when during recovery activity is most beneficial, what types of activity are best for different patients, or how these effects play out in real-world longitudinal settings, especially in colorectal cancer survivors,” she explained.

To address some of those gaps, Liu and colleagues analyzed data from 1718 patients with colorectal cancer (mean age, 67 years; 48% women) enrolled in the International ColoCare prospective cohort study. Nearly 1 in 5 had metastatic disease at diagnosis.

Physical activity was assessed at baseline and at 6, 12, and 24 months after diagnosis using a validated questionnaire. Participants’ total number of metabolic equivalent of task (MET) minutes per week — a measurement of energy spent during physical activity — were calculated for walking, moderate activities, and vigorous activities.

Total physical activity was categorized as low (fewer than 600 MET min/wk), moderate (600-3000 MET min/wk), or high (over 3000 MET min/wk).

Cancer-related fatigue and quality of life were measured using the European Organization for Research and Treatment of Cancer QLQ-C30 scale.

Overall, patients who were more physically active reported less fatigue and better quality of life as they moved further into recovery. And walking, Liu said, showed the “clearest and most consistent” association with these improved outcomes.

Among patients with nonmetastatic disease, those who reported regular walking 6-12 months after diagnosis showed significantly lower fatigue and higher quality-of-life scores over 2 years. Fatigue scores in this group improved steadily with time, from 32.5 at diagnosis to 29 at 12 months post-diagnosis and 26.8 at 24 months post-diagnosis.

Patients with metastatic disease also showed reductions in fatigue scores — from 40.7 at diagnosis to 37.1 at 12 months and 36.4 at 24 months — although those differences did not reach statistical significance.

Liu pointed out that patients with metastatic disease, not surprisingly, reported greater fatigue and poorer quality of life across all time points vs those with early-stage disease.

So, she said, “we don’t yet have strong evidence that physical activity changes the fatigue trajectory in the long run for metastatic patients. But this is an area where more targeted research is really needed.”

Looking at patterns of physical activity, the researchers found that activity levels at the time of diagnosis did not reliably predict long-term fatigue and quality-of-life outcomes. Instead, a patient’s activity level maintained between diagnosis and 1 year follow-up was a predictor of better outcomes.

“Short-term increases in physical activity didn’t seem to make a meaningful difference,” Liu said. “This suggests that when it comes to managing cancer-related fatigue, the key is to build steady, lasting habits that patients can stick with throughout their recovery.”

The study had no commercial funding. Liu and Saltzman had no disclosures.

A version of this article first appeared on Medscape.com.

Regular physical activity—especially walking—may improve fatigue and boost quality of life for people with nonmetastatic colorectal cancer during the first 2 years after diagnosis, according to research presented at ASCO Gastrointestinal Cancers Symposium 2026.

The study, which tracked over 1700 patients with colorectal cancer, found that those with nonmetastatic disease who walked for exercise 6-12 months after their diagnosis showed significant improvement in their fatigue scores over time. Their quality-of-life ratings rose in tandem.

The findings suggest that simple, sustained movement may play a meaningful role in long-term survivorship care, lead investigator Louisa Liu, MD, of Cedars-Sinai Medical Center in Los Angeles, said during a press briefing.

“Fatigue is one of the most common and debilitating symptoms our patients experience, often long after treatment ends,” Liu noted.

The new data, she said, show that an accessible form of exercise, especially when maintained over time, “can make a real difference in how patients feel and function during recovery.”

Joel Saltzman, MD, an ASCO expert in gastrointestinal cancers based at Taussig Cancer Center, Cleveland Clinic, Cleveland, agreed.

This is a “super-important study for all of us in the cancer community,” Saltzman told the briefing, especially in light of the CHALLENGE trial.

That study demonstrated that a structured exercise program can actually improve overall survival for patients with early-stage colon cancer who completed surgery and adjuvant chemotherapy.

“When you couple that with how patients feel, it really begs the question: Are we as a society doing enough cancer rehabilitation?” Saltzman said. “Everyone’s familiar with cardiac rehab, but oncologic rehabilitation is really something that really should be thought about in the future.”

Among long-term colorectal cancer survivors, nearly 40% continue to experience moderate-to-severe fatigue years after treatment — a challenge that affects functional recovery, daily activity, and quality of life.

“Yet,” Liu said, “our toolbox of effective interventions remains limited.”

Growing evidence supports physical activity as a nonpharmacologic approach for managing cancer-related fatigue. The mechanisms, Liu noted, may be multiple and include reductions in systemic inflammation, preserved muscle mass, better sleep quality and improvements in psychological stress.

In fact, current clinical guidelines recommend physical activity as part of survivorship care, but some key questions remain unanswered, Liu said.

“We still don’t fully understand when during recovery activity is most beneficial, what types of activity are best for different patients, or how these effects play out in real-world longitudinal settings, especially in colorectal cancer survivors,” she explained.

To address some of those gaps, Liu and colleagues analyzed data from 1718 patients with colorectal cancer (mean age, 67 years; 48% women) enrolled in the International ColoCare prospective cohort study. Nearly 1 in 5 had metastatic disease at diagnosis.

Physical activity was assessed at baseline and at 6, 12, and 24 months after diagnosis using a validated questionnaire. Participants’ total number of metabolic equivalent of task (MET) minutes per week — a measurement of energy spent during physical activity — were calculated for walking, moderate activities, and vigorous activities.

Total physical activity was categorized as low (fewer than 600 MET min/wk), moderate (600-3000 MET min/wk), or high (over 3000 MET min/wk).

Cancer-related fatigue and quality of life were measured using the European Organization for Research and Treatment of Cancer QLQ-C30 scale.

Overall, patients who were more physically active reported less fatigue and better quality of life as they moved further into recovery. And walking, Liu said, showed the “clearest and most consistent” association with these improved outcomes.

Among patients with nonmetastatic disease, those who reported regular walking 6-12 months after diagnosis showed significantly lower fatigue and higher quality-of-life scores over 2 years. Fatigue scores in this group improved steadily with time, from 32.5 at diagnosis to 29 at 12 months post-diagnosis and 26.8 at 24 months post-diagnosis.

Patients with metastatic disease also showed reductions in fatigue scores — from 40.7 at diagnosis to 37.1 at 12 months and 36.4 at 24 months — although those differences did not reach statistical significance.

Liu pointed out that patients with metastatic disease, not surprisingly, reported greater fatigue and poorer quality of life across all time points vs those with early-stage disease.

So, she said, “we don’t yet have strong evidence that physical activity changes the fatigue trajectory in the long run for metastatic patients. But this is an area where more targeted research is really needed.”

Looking at patterns of physical activity, the researchers found that activity levels at the time of diagnosis did not reliably predict long-term fatigue and quality-of-life outcomes. Instead, a patient’s activity level maintained between diagnosis and 1 year follow-up was a predictor of better outcomes.

“Short-term increases in physical activity didn’t seem to make a meaningful difference,” Liu said. “This suggests that when it comes to managing cancer-related fatigue, the key is to build steady, lasting habits that patients can stick with throughout their recovery.”

The study had no commercial funding. Liu and Saltzman had no disclosures.

A version of this article first appeared on Medscape.com.

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Primary Care Clinician and Patient Knowledge, Interest, and Use of Integrative Treatment Options for Chronic Low Back Pain Management

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Primary Care Clinician and Patient Knowledge, Interest, and Use of Integrative Treatment Options for Chronic Low Back Pain Management

More than 50 million US adults report experiencing chronic pain, with nearly 7% experiencing high-impact chronic pain.1-3 Chronic pain negatively affects daily function, results in lost productivity, is a leading cause of disability, and is more prevalent among veterans compared with the general population.1,2,4-6 Estimates from 2021 suggest the prevalence of chronic pain among veterans exceeds 30%; > 11% experienced high-impact chronic pain.1

Primary care practitioners (PCPs) have a prominent role in chronic pain management. Pharmacologic options for treating pain, once a mainstay of therapy, present several challenges for patients and PCPs, including drug-drug interactions and adverse effects.7 The US opioid epidemic and shift to a biopsychosocial model of chronic pain care have increased emphasis on nonpharmacologic treatment options.8,9 These include integrative modalities, which incorporate conventional approaches with an array of complementary health approaches.10-12

Integrative therapy is a prominent feature in whole person care, which may be best exemplified by the US Department of Veterans Affairs (VA) Whole Health System of care.13-14 Whole health empowers an individual to take charge of their health and well-being so they can “live their life to the fullest.”14 As implemented in the Veterans Health Administration (VHA), whole health includes the use of evidence-based complementary and integrative therapies, encompassing a multimodal pain management approach. Expanding the use of these therapies requires a better understanding of PCP and patient knowledge, interest, and use of integrative modalities for chronic pain.

METHODS

Using a cross-sectional survey design, PCPs and patients with chronic back pain affiliated with the VA Ann Arbor Healthcare System were invited to participate in separate but similar surveys to assess knowledge, interest, and use of nonpharmacologic integrative modalities for the treatment of chronic pain. In May, June, and July 2023, 78 PCPs received 3 email invitations to participate in an electronic (Qualtrics) survey. Patients were identified based on having an International Statistical Classification of Diseases, Tenth Revision code for low back pain (M54.5, M54.40, 41, 42, M54.89) on ≥ 2 outpatient encounters within 18 months (April 1, 2021, to March 31, 2023). A random sample of 200 patients was selected and sent a packet in September 2023 that included an introductory letter and a paper survey, along with a website link and QR code to complete the survey electronically if preferred. The introductory letter stated that participation is voluntary, had no impact on the health care currently received at the VA, and names are not attached to the survey, allowing them to remain anonymous. The packet also included a $10 gift card to encourage survey completion.

Both survey instruments are available upon request, were developed by the study team, and included a mix of yes/no questions, “select all that apply” items, Likert scale response items, and open-ended questions. For one question about which modalities they would like available, the respondent was instructed to select up to 5 modalities. The instruments were extensively pretested by members of the study team, which included 2 PCPs and a nonveteran with chronic back pain.

The list of integrative modalities included in the survey was derived from the tier 1 and tier 2 complementary and integrative health modalities identified in a VHA Directive on complementary and integrative health.15,16 Tier 1 approaches are considered to have sufficient evidence and must be made available to veterans either within a VA medical facility or in the community. Tier 2 approaches are generally considered safe and may be made available but do not have sufficient evidence to mandate their provision. For participant ease, the integrative modalities were divided into 5 subgroups: manual therapies, energy/biofield therapies, mental health therapies, nutrition counseling, and movement therapies. The clinician survey assessed clinicians’ training and interest, clinical and personal use, and perceived barriers to providing integrative modalities for chronic pain. Professional and personal demographic data were also collected. Similarly, the patient survey assessed use of integrative therapies, perceptions of and interest in integrative modalities, and potential barriers to use. Demographic and health-related information was also collected.

Data analysis included descriptive statistics (eg, frequency counts, means, medians) and visual graphic displays. Separate analyses were conducted for clinicians and patients in addition to a comparative analysis of the use and potential interest in integrative modalities. Analysis were conducted using R software. This study was deemed nonresearch quality improvement by the VA Ann Arbor Healthcare System facility research oversight board and institutional review board approval was not solicited.

RESULTS

Twenty-eight clinicians completed the survey, yielding a participation rate of 36%. Participating clinicians had a median (IQR) age of 48 years (9.5), 15 self-identified as White (54%), 8 as Asian (29%), 15 as female (54%), 26 as non-Hispanic (93%), and 25 were medical doctors or doctors of osteopathy (89%). Nineteen (68%) worked at the main hospital outpatient clinic, and 9 practiced at community-based outpatient clinics (CBOCs). Thirteen respondents (46%) reported having no formal education or training in integrative approaches. Among those with prior training, 8 clinicians had nutrition counseling (29%) and 7 had psychologic therapy training (25%). Thirteen respondents (46%) also reported using integrative modalities for personal health needs: 8 used psychological therapies, 8 used movement therapies, 10 used integrative modalities for stress management or relaxation, and 8 used them for physical symptoms (Table 1).

FDP04301032_T1

Overall, 85 of 200 patients (43%) responded to the study survey. Two patients indicated they did not have chronic back pain and were excluded. Patients had a median (IQR) age of 66 (20) years, with 66 self-identifying as White (80%), 69 as male (83%), and 66 as non-Hispanic (80%). Forty-four patients (53%) received care at CBOCs. Forty-seven patients reported excellent, very good, or good overall health (57%), while 53 reported excellent, very good, or good mental health (64%). Fifty-nine patients reported back pain duration > 5 years (71%), and 67 (81%) indicated experiencing back pain flare-ups at least once per week over the previous 12 months. Sixty patients (72%) indicated they were somewhat or very interested in using integrative therapies as a back pain treatment; however, 40 patients (48%) indicated they had not received information about these therapies. Among those who indicated they had received information, the most frequently reported source was their PCP (41%). Most patients (72%) also reported feeling somewhat to very comfortable discussing integrative medicine therapies with their PCP.

Integrative Therapy Recommendations and Use

PCPs reported recommending multiple integrative modalities: 23 (82%) recommended cognitive-behavioral therapy, 22 (79%) recommended acupuncture, 21 (75%) recommended chiropractic, 19 (68%) recommended battlefield acupuncture, recommended massage 18 (64%), 17 (61%) recommended meditation or mindfulness, and 15 (54%) recommended movement therapies such as yoga or tai chi/qigong (Figure 1). The only therapies used by at least half of the patients were chiropractic used by 59 patients (71%) and acupuncture by 42 patients (51%). Thirty-eight patients (46%) reported massage use and 21 patients (25%) used cognitive-behavioral therapy (Table 2).

FDP04301032_F1FDP04301032_T2

Integrative Therapies Desired

A majority of PCPs identified acupuncture (n = 20, 71%), chiropractic (n = 19, 68%), and massage (n = 19, 68%) as therapies they would most like to have available for patients with chronic pain (Figure 2). Similarly, patients identified massage (n = 42, 51%), chiropractic (n = 34, 41%), and acupuncture (n = 27, 33%) as most desired. Seventeen patients (21%) expressed interest in movement therapies.

FDP04301032_F2

Barriers to Integrative Therapies Use

When asked about barriers to use, 26 PCPs (93%) identified access to services as a somewhat or extremely likely barrier, and 22 identified time constraints (79%) (Table 3). However, 17 PCPs (61%) noted lack of familiarity, and 18 (64%) noted a lack of scientific evidence as barriers to recommending integrative modalities. Among patients, 33 (40%) indicated not knowing what services were available at their facility as a barrier, 32 (39%) were not familiar with specific therapies, and 21 (25%) indicated a lack of clarity about the benefits of a specific therapy. Only 14 patients (17%) indicated that there were no obstacles to use.

FDP04301032_T3

DISCUSSION

Use of integrative therapies, including complementary treatments, is an increasingly important part of chronic pain management. This survey study suggests VA PCPs are willing to recommend integrative therapies and patients with chronic back pain both desire and use several therapies. Moreover, both groups expressed interest in greater availability of similar therapies. The results also highlight key barriers, such as knowledge gaps, that should be addressed to increase the uptake of integrative modalities for managing chronic pain.

An increasing number of US adults are using complementary health approaches, an important component of integrative therapy.12 This trend includes an increase in use for pain management, from 42.3% in 2002 to 49.2% in 2022; chiropractic care, acupuncture, and massage were most frequently used.12 Similarly, chiropractic, acupuncture and massage were most often used by this sample of veterans with chronic back pain and were identified by the highest percentages of PCPs and patients as the therapies they would most like available.

There were areas where the opinions of patients and clinicians differed. As has been seen previously reported, clinicians largely recommended cognitive-behavioral therapy while patients showed less interest.17 Additionally, while patients expressed interest in the availability of movement therapies, such as yoga, PCPs expressed more interest in other strategies, such as trigger point injections. These differences may reflect true preference or a tendency for clinicians and patients to select therapies with which they are more familiar. Additional research is needed to better understand the acceptability and potential use of integrative health treatments across a broad array of therapeutic options.

Despite VHA policy requiring facilities to provide certain complementary and integrative health modalities, almost all PCPs identified access to services as a major obstacle.15 Based on evidence and a rigorous vetting process, services currently required on-site, via telehealth, or through community partners include acupuncture and battlefield acupuncture (battlefield auricular acupuncture), biofeedback, clinical hypnosis, guided imagery, medical massage therapy, medication, tai chi/qigong, and yoga. Optional approaches, which may be made available to veterans, include chiropractic and healing touch. Outside the VHA, some states have introduced or enacted legislation mandating insurance coverage of nonpharmacological pain treatments.18 However, these requirements and mandates do not help address challenges such as the availability of trained/qualified practitioners.19,20 Ensuring access to complementary and integrative health treatments requires a more concerted effort to ensure that supply meets demand. It is also important to acknowledge the budgetary and physical space constraints that further limit access to services. Although expansion and integration of integrative medicine services remain a priority within the VA Whole Health program, implementation is contingent on available financial and infrastructure resources.

Time was also identified by PCPs as a barrier to recommending integrative therapies to patients. Developing and implementing time-efficient communication strategies for patient education such as concise talking points and informational handouts could help address this barrier. Furthermore, leveraging existing programs and engaging the entire health care team in patient education and referral could help increase integrative and complementary therapy uptake and use.

Although access and time were identified as major barriers, these findings also suggest that PCP and patient knowledge are another target area for enhancing the use of complementary and integrative therapies. Like prior research, most clinicians identified a lack of familiarity with certain services and a lack of scientific evidence as extremely or somewhat likely to affect their ability to offer integrative services to patients with chronic pain.21 Likewise, about 40% of patients identified being unfamiliar with a specific therapy as one of the major obstacles to receiving integrative therapies, with a similar number identifying PCPs as a source of information. The lack of familiarity may be due in part to the evolving nomenclature, with terms such as alternative, complementary, and integrative used to describe approaches outside what is often considered conventional medicine.10 On the other hand, there has also been considerable expansion in the number of therapies within this domain, along with an expanding evidence base. This suggests a need for targeted educational strategies for clinicians and patients, which can be rapidly deployed and continuously adapted as new therapies and evidence emerge.

Limitations

There are some inherent limitations with a survey-based approach, including sampling, non-response, and social desirability biases. In addition, this study only included PCPs and patients affiliated with a single VA medical center. Steps to mitigate these limitations included maintaining survey anonymity and reporting information about respondent characteristics to enhance transparency about the representativeness of the study findings.

CONCLUSIONS

Expanding the use of nonpharmacological pain treatments, including integrative modalities, is essential for safe and effective chronic pain management and reducing opioid use. Our findings show that VA PCPs and patients with chronic back pain are interested in and have some experience with certain integrative therapies. However, even within the context of a health care system that supports the use of integrative therapies for chronic pain as part of whole person care, increasing uptake will require addressing access and time-related constraints as well as ongoing clinician and patient education.

References
  1. Rikard SM, Strahan AE, Schmit KM, et al. Chronic pain among adults — United States, 2018-2021. MMWR Morb Mortal Wkly Rep. 2023;72:379-385. doi:10.15585/mmwr.mm7215a1
  2. Yong RJ, Mullins PM, Bhattacharyya N. Prevalence of chronic pain among adults in the United States. Pain. 2022;163:E328-E332. doi:10.1097/j.pain.0000000000002291
  3. Nahin RL, Feinberg T, Kapos FP, Terman GW. Estimated rates of incident and persistent chronic pain among US adults, 2019-2020. JAMA Netw Open. 2023;6:e2313563. doi:10.1001/jamanetworkopen.2023.13563
  4. Ferrari AJ, Santomauro DF, Aali A, et al. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet. 2024;403:2133-2161. doi:10.1016/S0140-6736(24)00757-8 5.
  5. Qureshi AR, Patel M, Neumark S, et al. Prevalence of chronic non-cancer pain among military veterans: a systematic review and meta-analysis of observational studies. BMJ Mil Health. 2025;171:310-314. doi:10.1136/military-2023-002554
  6. Feldman DE, Nahin RL. Disability among persons with chronic severe back pain: results from a nationally representative population-based sample. J Pain. 2022;23:2144-2154. doi:10.1016/j.jpain.2022.07.016
  7. Qaseem A, Wilt TJ, McLean RM, Forciea MA. Noninvasive treatments for acute, subacute, and chronic low back pain: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2017;166:514-530. doi:10.7326/M16-2367
  8. van Erp RMA, Huijnen IPJ, Jakobs MLG, Kleijnen J, Smeets RJEM. Effectiveness of primary care interventions using a biopsychosocial approach in chronic low back pain: a systematic review. Pain Practice. 2019;19:224-241. doi:10.1111/papr.12735
  9. Chou R, Deyo R, Friedly J, et al. Nonpharmacologic therapies for low back pain: a systematic review for an American College of physicians clinical practice guideline. Ann Intern Med. 2017;166:493-505. doi:10.7326/M16-2459
  10. Complementary, alternative, or integrative health: what’s in a name? National Institutes of Health, National Center for Complementary and Integrative Health. Updated April 2021. Accessed December 15, 2025. https://www.nccih.nih.gov/health/complementary-alternative-or-integrative-health-whats-in-a-name.
  11. Taylor SL, Elwy AR. Complementary and alternative medicine for US veterans and active duty military personnel promising steps to improve their health. Med Care. 2014;52:S1-S4. doi:10.1097/MLR.0000000000000270.
  12. Nahin RL, Rhee A, Stussman B. Use of complementary health approaches overall and for pain management by US adults. JAMA. 2024;331:613-615. doi:10.1001/jama.2023.26775
  13. Gantt CJ, Donovan N, Khung M. Veterans Affairs’ Whole Health System of Care for transitioning service members and veterans. Mil Med. 2023;188:28-32. doi:10.1093/milmed/usad047
  14. Bokhour BG, Hyde J, Kligler B, et al. From patient outcomes to system change: evaluating the impact of VHA’s implementation of the Whole Health System of Care. Health Serv Res. 2022;57:53-65. doi:10.1111/1475-6773.13938
  15. Department of Veterans Affairs VHA. VHA Policy Directive 1137: Provision of Complementary and Integrative Health. December 2022. Accessed December 15, 2025. https://www.va.gov/VHApublications/ViewPublication.asp?pub_ID=10072
  16. Giannitrapani KF, Holliday JR, Miake-Lye IM, Hempel S, Taylor SL. Synthesizing the strength of the evidence of complementary and integrative health therapies for pain. Pain Med. 2019;20:1831-1840. doi:10.1093/pm/pnz068
  17. Belitskaya-Levy I, David Clark J, Shih MC, Bair MJ. Treatment preferences for chronic low back pain: views of veterans and their providers. J Pain Res. 2021;14:161-171. doi:10.2147/JPR.S290400
  18. Onstott TN, Hurst S, Kronick R, Tsou AC, Groessl E, McMenamin SB. Health insurance mandates for nonpharmacological pain treatments in 7 US states. JAMA Netw Open. 2024;7:E245737. doi:10.1001/jamanetworkopen.2024.5737
  19. Sullivan M, Leach M, Snow J, Moonaz S. The North American yoga therapy workforce survey. Complement Ther Med. 2017;31:39-48. doi:10.1016/j.ctim.2017.01.006
  20. Bolton R, Ritter G, Highland K, Larson MJ. The relationship between capacity and utilization of nonpharmacologic therapies in the US Military Health System. BMC Health Serv Res. 2022;22. doi:10.1186/s12913-022-07700-4
  21. Stussman BJ, Nahin RL, Barnes PM, Scott R, Feinberg T, Ward BW. Reasons office-based physicians in the United States recommend common complementary health approaches to patients: an exploratory study using a national survey. J Integr Complement Med. 2022;28:651-663. doi:10.1089/jicm.2022.0493
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Meera Ronfeldt, DO, MSa,b; Rachael Maciasz, MDa,b; Nikhil Navathe, BSc; Kennedy Dubose, MPHa; Sarah L. Krein, PhD, RNa,b

Author affiliations 

aVeterans Affairs Ann Arbor Healthcare System, Michigan
bUniversity of Michigan, Ann Arbor 
cWayne State University School of Medicine, Detroit, Michigan

Author disclosures The authors report no actual or potential conflicts of interest regarding this article. Funding support provided by the US Department of Veterans Affairs (VA), VA Ann Arbor Center for Clinical Management Research. SK is supported by a VA Health Systems Research Career Scientist Award (RCS 11-222). This work was presented as an oral abstract at the 2024 Annual Meeting of the Society of General Internal Medicine.

Correspondence: Sarah Krein (sarah.krein@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0670

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This study was deemed nonresearch quality improvement by the VA Ann Arbor Healthcare System research oversight board.

Funding Support provided by the US Department of Veterans Affairs Ann Arbor Center for Clinical Management Research. SLK is supported by a VA Health Systems Research Career Scientist Award (RCS 11-222). The funding body played no role in the design of the study, or the collection and analysis of data.

Acknowledgments The authors thank Darcy Saffar and Aimee Myers for the project management and data collection support they provided during this study.

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Meera Ronfeldt, DO, MSa,b; Rachael Maciasz, MDa,b; Nikhil Navathe, BSc; Kennedy Dubose, MPHa; Sarah L. Krein, PhD, RNa,b

Author affiliations 

aVeterans Affairs Ann Arbor Healthcare System, Michigan
bUniversity of Michigan, Ann Arbor 
cWayne State University School of Medicine, Detroit, Michigan

Author disclosures The authors report no actual or potential conflicts of interest regarding this article. Funding support provided by the US Department of Veterans Affairs (VA), VA Ann Arbor Center for Clinical Management Research. SK is supported by a VA Health Systems Research Career Scientist Award (RCS 11-222). This work was presented as an oral abstract at the 2024 Annual Meeting of the Society of General Internal Medicine.

Correspondence: Sarah Krein (sarah.krein@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0670

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This study was deemed nonresearch quality improvement by the VA Ann Arbor Healthcare System research oversight board.

Funding Support provided by the US Department of Veterans Affairs Ann Arbor Center for Clinical Management Research. SLK is supported by a VA Health Systems Research Career Scientist Award (RCS 11-222). The funding body played no role in the design of the study, or the collection and analysis of data.

Acknowledgments The authors thank Darcy Saffar and Aimee Myers for the project management and data collection support they provided during this study.

Author and Disclosure Information

Meera Ronfeldt, DO, MSa,b; Rachael Maciasz, MDa,b; Nikhil Navathe, BSc; Kennedy Dubose, MPHa; Sarah L. Krein, PhD, RNa,b

Author affiliations 

aVeterans Affairs Ann Arbor Healthcare System, Michigan
bUniversity of Michigan, Ann Arbor 
cWayne State University School of Medicine, Detroit, Michigan

Author disclosures The authors report no actual or potential conflicts of interest regarding this article. Funding support provided by the US Department of Veterans Affairs (VA), VA Ann Arbor Center for Clinical Management Research. SK is supported by a VA Health Systems Research Career Scientist Award (RCS 11-222). This work was presented as an oral abstract at the 2024 Annual Meeting of the Society of General Internal Medicine.

Correspondence: Sarah Krein (sarah.krein@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0670

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This study was deemed nonresearch quality improvement by the VA Ann Arbor Healthcare System research oversight board.

Funding Support provided by the US Department of Veterans Affairs Ann Arbor Center for Clinical Management Research. SLK is supported by a VA Health Systems Research Career Scientist Award (RCS 11-222). The funding body played no role in the design of the study, or the collection and analysis of data.

Acknowledgments The authors thank Darcy Saffar and Aimee Myers for the project management and data collection support they provided during this study.

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More than 50 million US adults report experiencing chronic pain, with nearly 7% experiencing high-impact chronic pain.1-3 Chronic pain negatively affects daily function, results in lost productivity, is a leading cause of disability, and is more prevalent among veterans compared with the general population.1,2,4-6 Estimates from 2021 suggest the prevalence of chronic pain among veterans exceeds 30%; > 11% experienced high-impact chronic pain.1

Primary care practitioners (PCPs) have a prominent role in chronic pain management. Pharmacologic options for treating pain, once a mainstay of therapy, present several challenges for patients and PCPs, including drug-drug interactions and adverse effects.7 The US opioid epidemic and shift to a biopsychosocial model of chronic pain care have increased emphasis on nonpharmacologic treatment options.8,9 These include integrative modalities, which incorporate conventional approaches with an array of complementary health approaches.10-12

Integrative therapy is a prominent feature in whole person care, which may be best exemplified by the US Department of Veterans Affairs (VA) Whole Health System of care.13-14 Whole health empowers an individual to take charge of their health and well-being so they can “live their life to the fullest.”14 As implemented in the Veterans Health Administration (VHA), whole health includes the use of evidence-based complementary and integrative therapies, encompassing a multimodal pain management approach. Expanding the use of these therapies requires a better understanding of PCP and patient knowledge, interest, and use of integrative modalities for chronic pain.

METHODS

Using a cross-sectional survey design, PCPs and patients with chronic back pain affiliated with the VA Ann Arbor Healthcare System were invited to participate in separate but similar surveys to assess knowledge, interest, and use of nonpharmacologic integrative modalities for the treatment of chronic pain. In May, June, and July 2023, 78 PCPs received 3 email invitations to participate in an electronic (Qualtrics) survey. Patients were identified based on having an International Statistical Classification of Diseases, Tenth Revision code for low back pain (M54.5, M54.40, 41, 42, M54.89) on ≥ 2 outpatient encounters within 18 months (April 1, 2021, to March 31, 2023). A random sample of 200 patients was selected and sent a packet in September 2023 that included an introductory letter and a paper survey, along with a website link and QR code to complete the survey electronically if preferred. The introductory letter stated that participation is voluntary, had no impact on the health care currently received at the VA, and names are not attached to the survey, allowing them to remain anonymous. The packet also included a $10 gift card to encourage survey completion.

Both survey instruments are available upon request, were developed by the study team, and included a mix of yes/no questions, “select all that apply” items, Likert scale response items, and open-ended questions. For one question about which modalities they would like available, the respondent was instructed to select up to 5 modalities. The instruments were extensively pretested by members of the study team, which included 2 PCPs and a nonveteran with chronic back pain.

The list of integrative modalities included in the survey was derived from the tier 1 and tier 2 complementary and integrative health modalities identified in a VHA Directive on complementary and integrative health.15,16 Tier 1 approaches are considered to have sufficient evidence and must be made available to veterans either within a VA medical facility or in the community. Tier 2 approaches are generally considered safe and may be made available but do not have sufficient evidence to mandate their provision. For participant ease, the integrative modalities were divided into 5 subgroups: manual therapies, energy/biofield therapies, mental health therapies, nutrition counseling, and movement therapies. The clinician survey assessed clinicians’ training and interest, clinical and personal use, and perceived barriers to providing integrative modalities for chronic pain. Professional and personal demographic data were also collected. Similarly, the patient survey assessed use of integrative therapies, perceptions of and interest in integrative modalities, and potential barriers to use. Demographic and health-related information was also collected.

Data analysis included descriptive statistics (eg, frequency counts, means, medians) and visual graphic displays. Separate analyses were conducted for clinicians and patients in addition to a comparative analysis of the use and potential interest in integrative modalities. Analysis were conducted using R software. This study was deemed nonresearch quality improvement by the VA Ann Arbor Healthcare System facility research oversight board and institutional review board approval was not solicited.

RESULTS

Twenty-eight clinicians completed the survey, yielding a participation rate of 36%. Participating clinicians had a median (IQR) age of 48 years (9.5), 15 self-identified as White (54%), 8 as Asian (29%), 15 as female (54%), 26 as non-Hispanic (93%), and 25 were medical doctors or doctors of osteopathy (89%). Nineteen (68%) worked at the main hospital outpatient clinic, and 9 practiced at community-based outpatient clinics (CBOCs). Thirteen respondents (46%) reported having no formal education or training in integrative approaches. Among those with prior training, 8 clinicians had nutrition counseling (29%) and 7 had psychologic therapy training (25%). Thirteen respondents (46%) also reported using integrative modalities for personal health needs: 8 used psychological therapies, 8 used movement therapies, 10 used integrative modalities for stress management or relaxation, and 8 used them for physical symptoms (Table 1).

FDP04301032_T1

Overall, 85 of 200 patients (43%) responded to the study survey. Two patients indicated they did not have chronic back pain and were excluded. Patients had a median (IQR) age of 66 (20) years, with 66 self-identifying as White (80%), 69 as male (83%), and 66 as non-Hispanic (80%). Forty-four patients (53%) received care at CBOCs. Forty-seven patients reported excellent, very good, or good overall health (57%), while 53 reported excellent, very good, or good mental health (64%). Fifty-nine patients reported back pain duration > 5 years (71%), and 67 (81%) indicated experiencing back pain flare-ups at least once per week over the previous 12 months. Sixty patients (72%) indicated they were somewhat or very interested in using integrative therapies as a back pain treatment; however, 40 patients (48%) indicated they had not received information about these therapies. Among those who indicated they had received information, the most frequently reported source was their PCP (41%). Most patients (72%) also reported feeling somewhat to very comfortable discussing integrative medicine therapies with their PCP.

Integrative Therapy Recommendations and Use

PCPs reported recommending multiple integrative modalities: 23 (82%) recommended cognitive-behavioral therapy, 22 (79%) recommended acupuncture, 21 (75%) recommended chiropractic, 19 (68%) recommended battlefield acupuncture, recommended massage 18 (64%), 17 (61%) recommended meditation or mindfulness, and 15 (54%) recommended movement therapies such as yoga or tai chi/qigong (Figure 1). The only therapies used by at least half of the patients were chiropractic used by 59 patients (71%) and acupuncture by 42 patients (51%). Thirty-eight patients (46%) reported massage use and 21 patients (25%) used cognitive-behavioral therapy (Table 2).

FDP04301032_F1FDP04301032_T2

Integrative Therapies Desired

A majority of PCPs identified acupuncture (n = 20, 71%), chiropractic (n = 19, 68%), and massage (n = 19, 68%) as therapies they would most like to have available for patients with chronic pain (Figure 2). Similarly, patients identified massage (n = 42, 51%), chiropractic (n = 34, 41%), and acupuncture (n = 27, 33%) as most desired. Seventeen patients (21%) expressed interest in movement therapies.

FDP04301032_F2

Barriers to Integrative Therapies Use

When asked about barriers to use, 26 PCPs (93%) identified access to services as a somewhat or extremely likely barrier, and 22 identified time constraints (79%) (Table 3). However, 17 PCPs (61%) noted lack of familiarity, and 18 (64%) noted a lack of scientific evidence as barriers to recommending integrative modalities. Among patients, 33 (40%) indicated not knowing what services were available at their facility as a barrier, 32 (39%) were not familiar with specific therapies, and 21 (25%) indicated a lack of clarity about the benefits of a specific therapy. Only 14 patients (17%) indicated that there were no obstacles to use.

FDP04301032_T3

DISCUSSION

Use of integrative therapies, including complementary treatments, is an increasingly important part of chronic pain management. This survey study suggests VA PCPs are willing to recommend integrative therapies and patients with chronic back pain both desire and use several therapies. Moreover, both groups expressed interest in greater availability of similar therapies. The results also highlight key barriers, such as knowledge gaps, that should be addressed to increase the uptake of integrative modalities for managing chronic pain.

An increasing number of US adults are using complementary health approaches, an important component of integrative therapy.12 This trend includes an increase in use for pain management, from 42.3% in 2002 to 49.2% in 2022; chiropractic care, acupuncture, and massage were most frequently used.12 Similarly, chiropractic, acupuncture and massage were most often used by this sample of veterans with chronic back pain and were identified by the highest percentages of PCPs and patients as the therapies they would most like available.

There were areas where the opinions of patients and clinicians differed. As has been seen previously reported, clinicians largely recommended cognitive-behavioral therapy while patients showed less interest.17 Additionally, while patients expressed interest in the availability of movement therapies, such as yoga, PCPs expressed more interest in other strategies, such as trigger point injections. These differences may reflect true preference or a tendency for clinicians and patients to select therapies with which they are more familiar. Additional research is needed to better understand the acceptability and potential use of integrative health treatments across a broad array of therapeutic options.

Despite VHA policy requiring facilities to provide certain complementary and integrative health modalities, almost all PCPs identified access to services as a major obstacle.15 Based on evidence and a rigorous vetting process, services currently required on-site, via telehealth, or through community partners include acupuncture and battlefield acupuncture (battlefield auricular acupuncture), biofeedback, clinical hypnosis, guided imagery, medical massage therapy, medication, tai chi/qigong, and yoga. Optional approaches, which may be made available to veterans, include chiropractic and healing touch. Outside the VHA, some states have introduced or enacted legislation mandating insurance coverage of nonpharmacological pain treatments.18 However, these requirements and mandates do not help address challenges such as the availability of trained/qualified practitioners.19,20 Ensuring access to complementary and integrative health treatments requires a more concerted effort to ensure that supply meets demand. It is also important to acknowledge the budgetary and physical space constraints that further limit access to services. Although expansion and integration of integrative medicine services remain a priority within the VA Whole Health program, implementation is contingent on available financial and infrastructure resources.

Time was also identified by PCPs as a barrier to recommending integrative therapies to patients. Developing and implementing time-efficient communication strategies for patient education such as concise talking points and informational handouts could help address this barrier. Furthermore, leveraging existing programs and engaging the entire health care team in patient education and referral could help increase integrative and complementary therapy uptake and use.

Although access and time were identified as major barriers, these findings also suggest that PCP and patient knowledge are another target area for enhancing the use of complementary and integrative therapies. Like prior research, most clinicians identified a lack of familiarity with certain services and a lack of scientific evidence as extremely or somewhat likely to affect their ability to offer integrative services to patients with chronic pain.21 Likewise, about 40% of patients identified being unfamiliar with a specific therapy as one of the major obstacles to receiving integrative therapies, with a similar number identifying PCPs as a source of information. The lack of familiarity may be due in part to the evolving nomenclature, with terms such as alternative, complementary, and integrative used to describe approaches outside what is often considered conventional medicine.10 On the other hand, there has also been considerable expansion in the number of therapies within this domain, along with an expanding evidence base. This suggests a need for targeted educational strategies for clinicians and patients, which can be rapidly deployed and continuously adapted as new therapies and evidence emerge.

Limitations

There are some inherent limitations with a survey-based approach, including sampling, non-response, and social desirability biases. In addition, this study only included PCPs and patients affiliated with a single VA medical center. Steps to mitigate these limitations included maintaining survey anonymity and reporting information about respondent characteristics to enhance transparency about the representativeness of the study findings.

CONCLUSIONS

Expanding the use of nonpharmacological pain treatments, including integrative modalities, is essential for safe and effective chronic pain management and reducing opioid use. Our findings show that VA PCPs and patients with chronic back pain are interested in and have some experience with certain integrative therapies. However, even within the context of a health care system that supports the use of integrative therapies for chronic pain as part of whole person care, increasing uptake will require addressing access and time-related constraints as well as ongoing clinician and patient education.

More than 50 million US adults report experiencing chronic pain, with nearly 7% experiencing high-impact chronic pain.1-3 Chronic pain negatively affects daily function, results in lost productivity, is a leading cause of disability, and is more prevalent among veterans compared with the general population.1,2,4-6 Estimates from 2021 suggest the prevalence of chronic pain among veterans exceeds 30%; > 11% experienced high-impact chronic pain.1

Primary care practitioners (PCPs) have a prominent role in chronic pain management. Pharmacologic options for treating pain, once a mainstay of therapy, present several challenges for patients and PCPs, including drug-drug interactions and adverse effects.7 The US opioid epidemic and shift to a biopsychosocial model of chronic pain care have increased emphasis on nonpharmacologic treatment options.8,9 These include integrative modalities, which incorporate conventional approaches with an array of complementary health approaches.10-12

Integrative therapy is a prominent feature in whole person care, which may be best exemplified by the US Department of Veterans Affairs (VA) Whole Health System of care.13-14 Whole health empowers an individual to take charge of their health and well-being so they can “live their life to the fullest.”14 As implemented in the Veterans Health Administration (VHA), whole health includes the use of evidence-based complementary and integrative therapies, encompassing a multimodal pain management approach. Expanding the use of these therapies requires a better understanding of PCP and patient knowledge, interest, and use of integrative modalities for chronic pain.

METHODS

Using a cross-sectional survey design, PCPs and patients with chronic back pain affiliated with the VA Ann Arbor Healthcare System were invited to participate in separate but similar surveys to assess knowledge, interest, and use of nonpharmacologic integrative modalities for the treatment of chronic pain. In May, June, and July 2023, 78 PCPs received 3 email invitations to participate in an electronic (Qualtrics) survey. Patients were identified based on having an International Statistical Classification of Diseases, Tenth Revision code for low back pain (M54.5, M54.40, 41, 42, M54.89) on ≥ 2 outpatient encounters within 18 months (April 1, 2021, to March 31, 2023). A random sample of 200 patients was selected and sent a packet in September 2023 that included an introductory letter and a paper survey, along with a website link and QR code to complete the survey electronically if preferred. The introductory letter stated that participation is voluntary, had no impact on the health care currently received at the VA, and names are not attached to the survey, allowing them to remain anonymous. The packet also included a $10 gift card to encourage survey completion.

Both survey instruments are available upon request, were developed by the study team, and included a mix of yes/no questions, “select all that apply” items, Likert scale response items, and open-ended questions. For one question about which modalities they would like available, the respondent was instructed to select up to 5 modalities. The instruments were extensively pretested by members of the study team, which included 2 PCPs and a nonveteran with chronic back pain.

The list of integrative modalities included in the survey was derived from the tier 1 and tier 2 complementary and integrative health modalities identified in a VHA Directive on complementary and integrative health.15,16 Tier 1 approaches are considered to have sufficient evidence and must be made available to veterans either within a VA medical facility or in the community. Tier 2 approaches are generally considered safe and may be made available but do not have sufficient evidence to mandate their provision. For participant ease, the integrative modalities were divided into 5 subgroups: manual therapies, energy/biofield therapies, mental health therapies, nutrition counseling, and movement therapies. The clinician survey assessed clinicians’ training and interest, clinical and personal use, and perceived barriers to providing integrative modalities for chronic pain. Professional and personal demographic data were also collected. Similarly, the patient survey assessed use of integrative therapies, perceptions of and interest in integrative modalities, and potential barriers to use. Demographic and health-related information was also collected.

Data analysis included descriptive statistics (eg, frequency counts, means, medians) and visual graphic displays. Separate analyses were conducted for clinicians and patients in addition to a comparative analysis of the use and potential interest in integrative modalities. Analysis were conducted using R software. This study was deemed nonresearch quality improvement by the VA Ann Arbor Healthcare System facility research oversight board and institutional review board approval was not solicited.

RESULTS

Twenty-eight clinicians completed the survey, yielding a participation rate of 36%. Participating clinicians had a median (IQR) age of 48 years (9.5), 15 self-identified as White (54%), 8 as Asian (29%), 15 as female (54%), 26 as non-Hispanic (93%), and 25 were medical doctors or doctors of osteopathy (89%). Nineteen (68%) worked at the main hospital outpatient clinic, and 9 practiced at community-based outpatient clinics (CBOCs). Thirteen respondents (46%) reported having no formal education or training in integrative approaches. Among those with prior training, 8 clinicians had nutrition counseling (29%) and 7 had psychologic therapy training (25%). Thirteen respondents (46%) also reported using integrative modalities for personal health needs: 8 used psychological therapies, 8 used movement therapies, 10 used integrative modalities for stress management or relaxation, and 8 used them for physical symptoms (Table 1).

FDP04301032_T1

Overall, 85 of 200 patients (43%) responded to the study survey. Two patients indicated they did not have chronic back pain and were excluded. Patients had a median (IQR) age of 66 (20) years, with 66 self-identifying as White (80%), 69 as male (83%), and 66 as non-Hispanic (80%). Forty-four patients (53%) received care at CBOCs. Forty-seven patients reported excellent, very good, or good overall health (57%), while 53 reported excellent, very good, or good mental health (64%). Fifty-nine patients reported back pain duration > 5 years (71%), and 67 (81%) indicated experiencing back pain flare-ups at least once per week over the previous 12 months. Sixty patients (72%) indicated they were somewhat or very interested in using integrative therapies as a back pain treatment; however, 40 patients (48%) indicated they had not received information about these therapies. Among those who indicated they had received information, the most frequently reported source was their PCP (41%). Most patients (72%) also reported feeling somewhat to very comfortable discussing integrative medicine therapies with their PCP.

Integrative Therapy Recommendations and Use

PCPs reported recommending multiple integrative modalities: 23 (82%) recommended cognitive-behavioral therapy, 22 (79%) recommended acupuncture, 21 (75%) recommended chiropractic, 19 (68%) recommended battlefield acupuncture, recommended massage 18 (64%), 17 (61%) recommended meditation or mindfulness, and 15 (54%) recommended movement therapies such as yoga or tai chi/qigong (Figure 1). The only therapies used by at least half of the patients were chiropractic used by 59 patients (71%) and acupuncture by 42 patients (51%). Thirty-eight patients (46%) reported massage use and 21 patients (25%) used cognitive-behavioral therapy (Table 2).

FDP04301032_F1FDP04301032_T2

Integrative Therapies Desired

A majority of PCPs identified acupuncture (n = 20, 71%), chiropractic (n = 19, 68%), and massage (n = 19, 68%) as therapies they would most like to have available for patients with chronic pain (Figure 2). Similarly, patients identified massage (n = 42, 51%), chiropractic (n = 34, 41%), and acupuncture (n = 27, 33%) as most desired. Seventeen patients (21%) expressed interest in movement therapies.

FDP04301032_F2

Barriers to Integrative Therapies Use

When asked about barriers to use, 26 PCPs (93%) identified access to services as a somewhat or extremely likely barrier, and 22 identified time constraints (79%) (Table 3). However, 17 PCPs (61%) noted lack of familiarity, and 18 (64%) noted a lack of scientific evidence as barriers to recommending integrative modalities. Among patients, 33 (40%) indicated not knowing what services were available at their facility as a barrier, 32 (39%) were not familiar with specific therapies, and 21 (25%) indicated a lack of clarity about the benefits of a specific therapy. Only 14 patients (17%) indicated that there were no obstacles to use.

FDP04301032_T3

DISCUSSION

Use of integrative therapies, including complementary treatments, is an increasingly important part of chronic pain management. This survey study suggests VA PCPs are willing to recommend integrative therapies and patients with chronic back pain both desire and use several therapies. Moreover, both groups expressed interest in greater availability of similar therapies. The results also highlight key barriers, such as knowledge gaps, that should be addressed to increase the uptake of integrative modalities for managing chronic pain.

An increasing number of US adults are using complementary health approaches, an important component of integrative therapy.12 This trend includes an increase in use for pain management, from 42.3% in 2002 to 49.2% in 2022; chiropractic care, acupuncture, and massage were most frequently used.12 Similarly, chiropractic, acupuncture and massage were most often used by this sample of veterans with chronic back pain and were identified by the highest percentages of PCPs and patients as the therapies they would most like available.

There were areas where the opinions of patients and clinicians differed. As has been seen previously reported, clinicians largely recommended cognitive-behavioral therapy while patients showed less interest.17 Additionally, while patients expressed interest in the availability of movement therapies, such as yoga, PCPs expressed more interest in other strategies, such as trigger point injections. These differences may reflect true preference or a tendency for clinicians and patients to select therapies with which they are more familiar. Additional research is needed to better understand the acceptability and potential use of integrative health treatments across a broad array of therapeutic options.

Despite VHA policy requiring facilities to provide certain complementary and integrative health modalities, almost all PCPs identified access to services as a major obstacle.15 Based on evidence and a rigorous vetting process, services currently required on-site, via telehealth, or through community partners include acupuncture and battlefield acupuncture (battlefield auricular acupuncture), biofeedback, clinical hypnosis, guided imagery, medical massage therapy, medication, tai chi/qigong, and yoga. Optional approaches, which may be made available to veterans, include chiropractic and healing touch. Outside the VHA, some states have introduced or enacted legislation mandating insurance coverage of nonpharmacological pain treatments.18 However, these requirements and mandates do not help address challenges such as the availability of trained/qualified practitioners.19,20 Ensuring access to complementary and integrative health treatments requires a more concerted effort to ensure that supply meets demand. It is also important to acknowledge the budgetary and physical space constraints that further limit access to services. Although expansion and integration of integrative medicine services remain a priority within the VA Whole Health program, implementation is contingent on available financial and infrastructure resources.

Time was also identified by PCPs as a barrier to recommending integrative therapies to patients. Developing and implementing time-efficient communication strategies for patient education such as concise talking points and informational handouts could help address this barrier. Furthermore, leveraging existing programs and engaging the entire health care team in patient education and referral could help increase integrative and complementary therapy uptake and use.

Although access and time were identified as major barriers, these findings also suggest that PCP and patient knowledge are another target area for enhancing the use of complementary and integrative therapies. Like prior research, most clinicians identified a lack of familiarity with certain services and a lack of scientific evidence as extremely or somewhat likely to affect their ability to offer integrative services to patients with chronic pain.21 Likewise, about 40% of patients identified being unfamiliar with a specific therapy as one of the major obstacles to receiving integrative therapies, with a similar number identifying PCPs as a source of information. The lack of familiarity may be due in part to the evolving nomenclature, with terms such as alternative, complementary, and integrative used to describe approaches outside what is often considered conventional medicine.10 On the other hand, there has also been considerable expansion in the number of therapies within this domain, along with an expanding evidence base. This suggests a need for targeted educational strategies for clinicians and patients, which can be rapidly deployed and continuously adapted as new therapies and evidence emerge.

Limitations

There are some inherent limitations with a survey-based approach, including sampling, non-response, and social desirability biases. In addition, this study only included PCPs and patients affiliated with a single VA medical center. Steps to mitigate these limitations included maintaining survey anonymity and reporting information about respondent characteristics to enhance transparency about the representativeness of the study findings.

CONCLUSIONS

Expanding the use of nonpharmacological pain treatments, including integrative modalities, is essential for safe and effective chronic pain management and reducing opioid use. Our findings show that VA PCPs and patients with chronic back pain are interested in and have some experience with certain integrative therapies. However, even within the context of a health care system that supports the use of integrative therapies for chronic pain as part of whole person care, increasing uptake will require addressing access and time-related constraints as well as ongoing clinician and patient education.

References
  1. Rikard SM, Strahan AE, Schmit KM, et al. Chronic pain among adults — United States, 2018-2021. MMWR Morb Mortal Wkly Rep. 2023;72:379-385. doi:10.15585/mmwr.mm7215a1
  2. Yong RJ, Mullins PM, Bhattacharyya N. Prevalence of chronic pain among adults in the United States. Pain. 2022;163:E328-E332. doi:10.1097/j.pain.0000000000002291
  3. Nahin RL, Feinberg T, Kapos FP, Terman GW. Estimated rates of incident and persistent chronic pain among US adults, 2019-2020. JAMA Netw Open. 2023;6:e2313563. doi:10.1001/jamanetworkopen.2023.13563
  4. Ferrari AJ, Santomauro DF, Aali A, et al. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet. 2024;403:2133-2161. doi:10.1016/S0140-6736(24)00757-8 5.
  5. Qureshi AR, Patel M, Neumark S, et al. Prevalence of chronic non-cancer pain among military veterans: a systematic review and meta-analysis of observational studies. BMJ Mil Health. 2025;171:310-314. doi:10.1136/military-2023-002554
  6. Feldman DE, Nahin RL. Disability among persons with chronic severe back pain: results from a nationally representative population-based sample. J Pain. 2022;23:2144-2154. doi:10.1016/j.jpain.2022.07.016
  7. Qaseem A, Wilt TJ, McLean RM, Forciea MA. Noninvasive treatments for acute, subacute, and chronic low back pain: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2017;166:514-530. doi:10.7326/M16-2367
  8. van Erp RMA, Huijnen IPJ, Jakobs MLG, Kleijnen J, Smeets RJEM. Effectiveness of primary care interventions using a biopsychosocial approach in chronic low back pain: a systematic review. Pain Practice. 2019;19:224-241. doi:10.1111/papr.12735
  9. Chou R, Deyo R, Friedly J, et al. Nonpharmacologic therapies for low back pain: a systematic review for an American College of physicians clinical practice guideline. Ann Intern Med. 2017;166:493-505. doi:10.7326/M16-2459
  10. Complementary, alternative, or integrative health: what’s in a name? National Institutes of Health, National Center for Complementary and Integrative Health. Updated April 2021. Accessed December 15, 2025. https://www.nccih.nih.gov/health/complementary-alternative-or-integrative-health-whats-in-a-name.
  11. Taylor SL, Elwy AR. Complementary and alternative medicine for US veterans and active duty military personnel promising steps to improve their health. Med Care. 2014;52:S1-S4. doi:10.1097/MLR.0000000000000270.
  12. Nahin RL, Rhee A, Stussman B. Use of complementary health approaches overall and for pain management by US adults. JAMA. 2024;331:613-615. doi:10.1001/jama.2023.26775
  13. Gantt CJ, Donovan N, Khung M. Veterans Affairs’ Whole Health System of Care for transitioning service members and veterans. Mil Med. 2023;188:28-32. doi:10.1093/milmed/usad047
  14. Bokhour BG, Hyde J, Kligler B, et al. From patient outcomes to system change: evaluating the impact of VHA’s implementation of the Whole Health System of Care. Health Serv Res. 2022;57:53-65. doi:10.1111/1475-6773.13938
  15. Department of Veterans Affairs VHA. VHA Policy Directive 1137: Provision of Complementary and Integrative Health. December 2022. Accessed December 15, 2025. https://www.va.gov/VHApublications/ViewPublication.asp?pub_ID=10072
  16. Giannitrapani KF, Holliday JR, Miake-Lye IM, Hempel S, Taylor SL. Synthesizing the strength of the evidence of complementary and integrative health therapies for pain. Pain Med. 2019;20:1831-1840. doi:10.1093/pm/pnz068
  17. Belitskaya-Levy I, David Clark J, Shih MC, Bair MJ. Treatment preferences for chronic low back pain: views of veterans and their providers. J Pain Res. 2021;14:161-171. doi:10.2147/JPR.S290400
  18. Onstott TN, Hurst S, Kronick R, Tsou AC, Groessl E, McMenamin SB. Health insurance mandates for nonpharmacological pain treatments in 7 US states. JAMA Netw Open. 2024;7:E245737. doi:10.1001/jamanetworkopen.2024.5737
  19. Sullivan M, Leach M, Snow J, Moonaz S. The North American yoga therapy workforce survey. Complement Ther Med. 2017;31:39-48. doi:10.1016/j.ctim.2017.01.006
  20. Bolton R, Ritter G, Highland K, Larson MJ. The relationship between capacity and utilization of nonpharmacologic therapies in the US Military Health System. BMC Health Serv Res. 2022;22. doi:10.1186/s12913-022-07700-4
  21. Stussman BJ, Nahin RL, Barnes PM, Scott R, Feinberg T, Ward BW. Reasons office-based physicians in the United States recommend common complementary health approaches to patients: an exploratory study using a national survey. J Integr Complement Med. 2022;28:651-663. doi:10.1089/jicm.2022.0493
References
  1. Rikard SM, Strahan AE, Schmit KM, et al. Chronic pain among adults — United States, 2018-2021. MMWR Morb Mortal Wkly Rep. 2023;72:379-385. doi:10.15585/mmwr.mm7215a1
  2. Yong RJ, Mullins PM, Bhattacharyya N. Prevalence of chronic pain among adults in the United States. Pain. 2022;163:E328-E332. doi:10.1097/j.pain.0000000000002291
  3. Nahin RL, Feinberg T, Kapos FP, Terman GW. Estimated rates of incident and persistent chronic pain among US adults, 2019-2020. JAMA Netw Open. 2023;6:e2313563. doi:10.1001/jamanetworkopen.2023.13563
  4. Ferrari AJ, Santomauro DF, Aali A, et al. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet. 2024;403:2133-2161. doi:10.1016/S0140-6736(24)00757-8 5.
  5. Qureshi AR, Patel M, Neumark S, et al. Prevalence of chronic non-cancer pain among military veterans: a systematic review and meta-analysis of observational studies. BMJ Mil Health. 2025;171:310-314. doi:10.1136/military-2023-002554
  6. Feldman DE, Nahin RL. Disability among persons with chronic severe back pain: results from a nationally representative population-based sample. J Pain. 2022;23:2144-2154. doi:10.1016/j.jpain.2022.07.016
  7. Qaseem A, Wilt TJ, McLean RM, Forciea MA. Noninvasive treatments for acute, subacute, and chronic low back pain: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2017;166:514-530. doi:10.7326/M16-2367
  8. van Erp RMA, Huijnen IPJ, Jakobs MLG, Kleijnen J, Smeets RJEM. Effectiveness of primary care interventions using a biopsychosocial approach in chronic low back pain: a systematic review. Pain Practice. 2019;19:224-241. doi:10.1111/papr.12735
  9. Chou R, Deyo R, Friedly J, et al. Nonpharmacologic therapies for low back pain: a systematic review for an American College of physicians clinical practice guideline. Ann Intern Med. 2017;166:493-505. doi:10.7326/M16-2459
  10. Complementary, alternative, or integrative health: what’s in a name? National Institutes of Health, National Center for Complementary and Integrative Health. Updated April 2021. Accessed December 15, 2025. https://www.nccih.nih.gov/health/complementary-alternative-or-integrative-health-whats-in-a-name.
  11. Taylor SL, Elwy AR. Complementary and alternative medicine for US veterans and active duty military personnel promising steps to improve their health. Med Care. 2014;52:S1-S4. doi:10.1097/MLR.0000000000000270.
  12. Nahin RL, Rhee A, Stussman B. Use of complementary health approaches overall and for pain management by US adults. JAMA. 2024;331:613-615. doi:10.1001/jama.2023.26775
  13. Gantt CJ, Donovan N, Khung M. Veterans Affairs’ Whole Health System of Care for transitioning service members and veterans. Mil Med. 2023;188:28-32. doi:10.1093/milmed/usad047
  14. Bokhour BG, Hyde J, Kligler B, et al. From patient outcomes to system change: evaluating the impact of VHA’s implementation of the Whole Health System of Care. Health Serv Res. 2022;57:53-65. doi:10.1111/1475-6773.13938
  15. Department of Veterans Affairs VHA. VHA Policy Directive 1137: Provision of Complementary and Integrative Health. December 2022. Accessed December 15, 2025. https://www.va.gov/VHApublications/ViewPublication.asp?pub_ID=10072
  16. Giannitrapani KF, Holliday JR, Miake-Lye IM, Hempel S, Taylor SL. Synthesizing the strength of the evidence of complementary and integrative health therapies for pain. Pain Med. 2019;20:1831-1840. doi:10.1093/pm/pnz068
  17. Belitskaya-Levy I, David Clark J, Shih MC, Bair MJ. Treatment preferences for chronic low back pain: views of veterans and their providers. J Pain Res. 2021;14:161-171. doi:10.2147/JPR.S290400
  18. Onstott TN, Hurst S, Kronick R, Tsou AC, Groessl E, McMenamin SB. Health insurance mandates for nonpharmacological pain treatments in 7 US states. JAMA Netw Open. 2024;7:E245737. doi:10.1001/jamanetworkopen.2024.5737
  19. Sullivan M, Leach M, Snow J, Moonaz S. The North American yoga therapy workforce survey. Complement Ther Med. 2017;31:39-48. doi:10.1016/j.ctim.2017.01.006
  20. Bolton R, Ritter G, Highland K, Larson MJ. The relationship between capacity and utilization of nonpharmacologic therapies in the US Military Health System. BMC Health Serv Res. 2022;22. doi:10.1186/s12913-022-07700-4
  21. Stussman BJ, Nahin RL, Barnes PM, Scott R, Feinberg T, Ward BW. Reasons office-based physicians in the United States recommend common complementary health approaches to patients: an exploratory study using a national survey. J Integr Complement Med. 2022;28:651-663. doi:10.1089/jicm.2022.0493
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Daily Double! Assessing the Effectiveness of Game-Based Learning on the Pharmacy Knowledge of US Coast Guard Health Services Technicians

The US Coast Guard (USCG) operates within the US Department of Homeland Security and represents a force of > 50,000 servicemembers.1 The missions of the service include maritime law enforcement (drug interdiction), search and rescue, and defense readiness.2

The USCG operates 42 clinics and numerous smaller sick bays of varying sizes and medical capabilities throughout the country to provide acute and routine medical services. Health services technicians (HSs) are the most common staffing component and provide much of the support services in each USCG health care setting. The HS rating, colloquially referred to as corpsmen, is achieved through a 22-week course known as “A” school that trains servicemembers in outpatient and acute care, including emergency medical technician training.3 There are about 750 USCG HSs.

Within USCG clinics, HSs conduct ambulatory intakes for outpatient appointments, administer immunizations and blood draws, requisition medical equipment and supplies, serve as a pharmacy technician, complete physical examinations, and manage referrals, among other duties. Their familiarity with different aspects of clinic operations and medical practice must be broad. To that end, corpsmen develop and reinforce their medical knowledge through various trainings, including additional courses to specialize in certain medical skills, such as pharmacy technician “C” school or dental assistant “C” school.

The USCG employs < 15 field pharmacists, most of whom serve in an ambulatory care environment.4 Responsibilities of USCG pharmacists include the routine reinforcement of pharmacy knowledge with HSs. For the corpsmen who are not pharmacy technicians or who have not attended pharmacy technician “C” school, the extent of their pharmacy instruction primarily came from the “A” school curriculum, of which only 1 class is specific to pharmacy. Providing routine pharmacy-related training to the HSs further cultivates their pharmacy knowledge and confidence so that they can practice more holistically. These trainings do not need to follow any specific format.

In this study, 3 pharmacists at 3 separate USCG clinics conducted a training inspired by the Jeopardy! game show with the corpsmen at their respective clinics. This study examined the effectiveness of game-based learning on the pharmacy knowledge retention of HSs at 3 USCG clinics. A secondary objective was to evaluate the baseline pharmacy knowledge of corpsmen based on specific corpsmen demographics.

Methods

As part of a USCG quality improvement study in 2024, 28 HSs at the 3 USCG clinics were provided a preintervention assessment, completed game-based educational program (intervention), and then were assessed again following the intervention.

The HSs were presented with a 25-question assessment that included 10 knowledge questions (3 on over-the-counter medications, 2 on use of medications in pregnancy, 2 on precautions and contraindications, 2 on indications, and 1 on immunizations) and 15 brand-generic matching questions. These questions were developed and reviewed by the 3 participating pharmacists to ensure that their scope was commensurate with the overall pharmacy knowledge that could be reasonably expected of corpsmen spanning various points of their HS career.

One to 7 days after the preintervention assessment, the pharmacists hosted the game-based learning modeled after Jeopardy!. The Jeopardy! categories mirrored the assessment knowledge question categories, and brand-generic nomenclature was freely discussed throughout. About 2 weeks later, the same HSs who completed the preintervention assessment and participated in the game were presented with the same assessment.

In addition to capturing the difference in scores between the 2 assessments, additional demographic data were gathered, including service time as an HS and whether they received formalized pharmacy technician training and if so, how long they have served in that capacity. Demographic data were collected to identify potential correlations between demographic characteristics and results.

Results

Twenty-eight HSs at the 3 clinics completed the game-based training and both assessments. The mean score increased from 15.1 preintervention to 17.4 postintervention (Table). Preintervention scores ranged from 1 to 24 and postintervention scores ranged from 6 to 25.

FDP04301028_T1

There were 19 HSs (68%) whose score increased from preintervention to postintervention and 5 (18%) had decreased scores. The largest score decrease was 4 (from 18 to 14), and the largest score increase was 11 (from 13 to 24). The mean improvement was 3.9 among the 19 HSs with increased scores

Twenty-one HSs reported no formal pharmacy technician training, 3 completed pharmacy technician “C” school, and 4 received informal on-the-job training. The mean score for the “C” school trained HSs was 23.0 preintervention and 23.7 postintervention. The mean score for HSs trained on the job was 16.0 preintervention and 18.5 postintervention. The mean score for HSs with no training was 13.9 preintervention and 16.3 postintervention.

As HSs advance in their careers, they typically assume roles with increasing technical knowledge, responsibility, and oversight, thus aligning with advancement from E-4 (third class petty officer) to E-6 (first class petty officer) and beyond. In this study, there was 1 E-3, 12 E-4s (mean time as an HS, 1.3 years), 8 E-5s (mean time as an HS, 4.8 years), and 7 E-6s (mean time as an HS, 8.6 years). The E-3 had a preintervention score of 1.0 and a postintervention score of 6.0. The E-4s had a mean change in score from pre- to postintervention of 2.4. The E-5s had a mean change in score from pre- to postintervention of 1.6. The E-6s had a mean change in score from pre- to postintervention of 2.3.

Discussion

This study is novel in its examination of the impact of game-based learning on the retention of the pharmacy knowledge of USCG corpsmen. A PubMed literature search of the phrase “((Corpsman) OR (Corpsmen)) AND (Coast Guard)” yields 135 results, though none were relevant to the USCG population described in this study. A PubMed literature search of the phrase “(Jeopardy!) AND (pharmacy)” yields 28 results, only 1 of which discusses using the game-based approach as an instructional tool.5 A PubMed literature search of the phrase “(game) AND (Coast Guard)” yields 55 results, none of which were specifically relevant to game-based learning in the USCG. This study appears to be among the first to discuss results and trends in game-based learning with USCG corpsmen.

The preponderance of literature for game-based learning strategies exists in children; more research in adults is needed.6,7 With studies showing that game-based learning may impact motivation to learn and learning gains, it is unsurprising that there is some research in professional health care education. Games modeled after everything from simulated clinical scenarios to Family Feud and Chutes and Ladders-style games have been compared with traditional learning strategies. However, the results of whether game-based learning strategies improve knowledge, clinical decision-making, and motivation to learn vary, suggesting the need for more research in this field.8

The results of this study suggest that Jeopardy! is likely an effective instructional method for USCG corpsmen on pharmacy topics. While there were some HSs whose postintervention scores decreased, 19 (68%) had increased scores. Because the second assessment was administered about 2 weeks after the game-based learning, the results suggest some level of knowledge retention. Between these results and the informally perceived level of engagement, game-based learning could be a more stimulating alternative training method to a standard slide-based presentation.

Stratifying the data by demographics revealed additional trends, although they should be interpreted with caution due to the small sample size. The baseline results strongly illustrate the value of formalized training. It is generally expected that HSs who have completed the “C” school pharmacy technician training program should have more pharmacy knowledge than those with on-the-job or less training. The results indicate that “C” school trained and on-the-job trained HSs scored higher on the preintervention assessment (mean, 23.0 and 16.0, respectively), than those with no such experiences (mean, 13.9). Such results underscore the value of formalized training—whether as a pharmacy technician or in any other “C” school—in enhancing the medical knowledge of HSs that may allow them to hold roles of increased responsibility and medical scope.

In addition to stratification by pharmacy technician training, stratification by years of HS experience (roughly correlated to rank) yields a similar result. It would be expected that as HSs advance in their careers, they gain more exposure to various medical topics, including pharmacy. That is not always the case, however, as it is possible an HS never rotated through a pharmacy technician position or has not been recently exposed to pharmacy knowledge. Nevertheless, the results suggest that increased HS experience was likely associated with an increased baseline pharmacy knowledge, with mean preintervention scores increasing from 11.9 to 18.1 to 19.3 for E-4, E-5, and E-6, respectively.

While there are many explanations for these results, the authors hypothesize that when HSs are E-4s, they might not yet have exposure to all aspects of the clinic and are perhaps not as well-versed in pharmacy practice. An E-5—now a few years into their career—would have completed pharmacy technician “C” school or on-the-job training (if applicable), which could account for the significant jump in pharmacy knowledge scores. An E-6 can still engage in direct patient care activities but take on leadership and supervisory roles within the clinic, perhaps explaining the smaller increase in score.

In terms of increasing responsibility, many USCG corpsmen complete another schooling opportunity—Independent Duty Health Services Technician (IDHS)—so they can serve in independent duty roles, many of which are on USCG cutters. While cutters are deployed, that IDHS could be the sole medical personnel on the cutter and function in a midlevel practitioner extender role. Formalized training in pharmacy—the benefits of which are suggested through these results—or another field of medical practice would strengthen the skillset and confidence of IDHSs.

Though not formally assessed, the 3 pharmacists noted that the game-based learning was met with overwhelmingly positive feedback in terms of excitement, energy, and overall engagement.

Limitations

This cohort of individuals represents a small proportion of the total number of USCG corpsmen, and it is not fully representative of all practice settings. HSs can be assigned to USCG cutters as IDHSs, which would not be captured in this cohort. Even within a single clinic, the knowledge of HSs varies, as not all HS duties consist solely of clinical skills. Additionally, while the overall game framework was consistent among the 3 sites, there may have been unquantifiable differences in overall teaching style by the 3 pharmacists that may have resulted in different levels of content retention. Given the lack of similar studies in this population, this study can best be described as a quantitative descriptor of results rather than a statistical comparison of what instructional method works best.

Conclusions

The USCG greatly benefits from having trained and experienced HSs fulfilling mission support roles in the organization. In addition to traditional slide-based trainings, game-based learning can be considered to create engaging learning environments to support the knowledge retention of pharmacy and other medical topics for USCG corpsmen.

References
  1. US Coast Guard. Organizational overview. About the US Coast Guard. Accessed October 14, 2025. https://www.uscg.mil/About
  2. US Coast Guard. Missions. About US Coast Guard. Accessed October 14, 2025. https://www.uscg.mil/About/Missions/
  3. US Coast Guard. Health services technician. Accessed October 14, 2025. https://www.gocoastguard.com/careers/enlisted/hs
  4. Zhou F, Woodward Z. Impact of pharmacist interventions at an outpatient US Coast Guard clinic. Fed Pract. 2023;40(6):174-177. doi:10.12788/fp.0383
  5. Cusick J. A Jeopardy-style review game using team clickers. MedEdPORTAL. 2016;12:10485. doi:10.15766/mep_2374-8265.10485
  6. Dahalan F, Alias N, Shaharom MSN. Gamification and game based learning for vocational education and training: a systematic literature review. Educ Inf Technol (Dordr). 2023:1-39. doi:10.1007/s10639-022-11548-w
  7. Wesselink LA. Testing the Effectiveness of Game-Based Learning for Adults by Designing an Educational Game: A Design and Research Study to Investigate the Effectiveness of Educational Games for Adults to Learn Basic Skills of Microsoft Excel. Master’s thesis. University of Twente; 2020. Accessed October 22, 2025. http://essay.utwentw.nl/88229
  8. Del Cura-González I, Ariza-Cardiel G, Polentinos-Castro E, et al. Effectiveness of a game-based educational strategy e-EDUCAGUIA for implementing antimicrobial clinical practice guidelines in family medicine residents in Spain: a randomized clinical trial by cluster. BMC Med Educ. 2022;22:893. doi:10.1186/s12909-022-03843-4
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Fengyee Zhou, PharmDa; Zachary Woodward, PharmDb; Xiaohong Huang, PharmDc

Author affiliations
aUS Coast Guard Base National Capital Region, Washington, DC
bUS Coast Guard Base Kodiak, Alaska
cUS Coast Guard TRACEN Petaluma, California

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

Correspondence: Fengyee Zhou (fengyee.w.zhou@uscg.mil)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0659

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent Institutional review board approval was not solicited for this quality improvement study.

Acknowledgments The authors thank math statistician Michael Araojo, US Coast Guard LANT-81 for his contributions in the drafting of the manuscript.

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Author and Disclosure Information

Fengyee Zhou, PharmDa; Zachary Woodward, PharmDb; Xiaohong Huang, PharmDc

Author affiliations
aUS Coast Guard Base National Capital Region, Washington, DC
bUS Coast Guard Base Kodiak, Alaska
cUS Coast Guard TRACEN Petaluma, California

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

Correspondence: Fengyee Zhou (fengyee.w.zhou@uscg.mil)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0659

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent Institutional review board approval was not solicited for this quality improvement study.

Acknowledgments The authors thank math statistician Michael Araojo, US Coast Guard LANT-81 for his contributions in the drafting of the manuscript.

Author and Disclosure Information

Fengyee Zhou, PharmDa; Zachary Woodward, PharmDb; Xiaohong Huang, PharmDc

Author affiliations
aUS Coast Guard Base National Capital Region, Washington, DC
bUS Coast Guard Base Kodiak, Alaska
cUS Coast Guard TRACEN Petaluma, California

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

Correspondence: Fengyee Zhou (fengyee.w.zhou@uscg.mil)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0659

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent Institutional review board approval was not solicited for this quality improvement study.

Acknowledgments The authors thank math statistician Michael Araojo, US Coast Guard LANT-81 for his contributions in the drafting of the manuscript.

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Article PDF

The US Coast Guard (USCG) operates within the US Department of Homeland Security and represents a force of > 50,000 servicemembers.1 The missions of the service include maritime law enforcement (drug interdiction), search and rescue, and defense readiness.2

The USCG operates 42 clinics and numerous smaller sick bays of varying sizes and medical capabilities throughout the country to provide acute and routine medical services. Health services technicians (HSs) are the most common staffing component and provide much of the support services in each USCG health care setting. The HS rating, colloquially referred to as corpsmen, is achieved through a 22-week course known as “A” school that trains servicemembers in outpatient and acute care, including emergency medical technician training.3 There are about 750 USCG HSs.

Within USCG clinics, HSs conduct ambulatory intakes for outpatient appointments, administer immunizations and blood draws, requisition medical equipment and supplies, serve as a pharmacy technician, complete physical examinations, and manage referrals, among other duties. Their familiarity with different aspects of clinic operations and medical practice must be broad. To that end, corpsmen develop and reinforce their medical knowledge through various trainings, including additional courses to specialize in certain medical skills, such as pharmacy technician “C” school or dental assistant “C” school.

The USCG employs < 15 field pharmacists, most of whom serve in an ambulatory care environment.4 Responsibilities of USCG pharmacists include the routine reinforcement of pharmacy knowledge with HSs. For the corpsmen who are not pharmacy technicians or who have not attended pharmacy technician “C” school, the extent of their pharmacy instruction primarily came from the “A” school curriculum, of which only 1 class is specific to pharmacy. Providing routine pharmacy-related training to the HSs further cultivates their pharmacy knowledge and confidence so that they can practice more holistically. These trainings do not need to follow any specific format.

In this study, 3 pharmacists at 3 separate USCG clinics conducted a training inspired by the Jeopardy! game show with the corpsmen at their respective clinics. This study examined the effectiveness of game-based learning on the pharmacy knowledge retention of HSs at 3 USCG clinics. A secondary objective was to evaluate the baseline pharmacy knowledge of corpsmen based on specific corpsmen demographics.

Methods

As part of a USCG quality improvement study in 2024, 28 HSs at the 3 USCG clinics were provided a preintervention assessment, completed game-based educational program (intervention), and then were assessed again following the intervention.

The HSs were presented with a 25-question assessment that included 10 knowledge questions (3 on over-the-counter medications, 2 on use of medications in pregnancy, 2 on precautions and contraindications, 2 on indications, and 1 on immunizations) and 15 brand-generic matching questions. These questions were developed and reviewed by the 3 participating pharmacists to ensure that their scope was commensurate with the overall pharmacy knowledge that could be reasonably expected of corpsmen spanning various points of their HS career.

One to 7 days after the preintervention assessment, the pharmacists hosted the game-based learning modeled after Jeopardy!. The Jeopardy! categories mirrored the assessment knowledge question categories, and brand-generic nomenclature was freely discussed throughout. About 2 weeks later, the same HSs who completed the preintervention assessment and participated in the game were presented with the same assessment.

In addition to capturing the difference in scores between the 2 assessments, additional demographic data were gathered, including service time as an HS and whether they received formalized pharmacy technician training and if so, how long they have served in that capacity. Demographic data were collected to identify potential correlations between demographic characteristics and results.

Results

Twenty-eight HSs at the 3 clinics completed the game-based training and both assessments. The mean score increased from 15.1 preintervention to 17.4 postintervention (Table). Preintervention scores ranged from 1 to 24 and postintervention scores ranged from 6 to 25.

FDP04301028_T1

There were 19 HSs (68%) whose score increased from preintervention to postintervention and 5 (18%) had decreased scores. The largest score decrease was 4 (from 18 to 14), and the largest score increase was 11 (from 13 to 24). The mean improvement was 3.9 among the 19 HSs with increased scores

Twenty-one HSs reported no formal pharmacy technician training, 3 completed pharmacy technician “C” school, and 4 received informal on-the-job training. The mean score for the “C” school trained HSs was 23.0 preintervention and 23.7 postintervention. The mean score for HSs trained on the job was 16.0 preintervention and 18.5 postintervention. The mean score for HSs with no training was 13.9 preintervention and 16.3 postintervention.

As HSs advance in their careers, they typically assume roles with increasing technical knowledge, responsibility, and oversight, thus aligning with advancement from E-4 (third class petty officer) to E-6 (first class petty officer) and beyond. In this study, there was 1 E-3, 12 E-4s (mean time as an HS, 1.3 years), 8 E-5s (mean time as an HS, 4.8 years), and 7 E-6s (mean time as an HS, 8.6 years). The E-3 had a preintervention score of 1.0 and a postintervention score of 6.0. The E-4s had a mean change in score from pre- to postintervention of 2.4. The E-5s had a mean change in score from pre- to postintervention of 1.6. The E-6s had a mean change in score from pre- to postintervention of 2.3.

Discussion

This study is novel in its examination of the impact of game-based learning on the retention of the pharmacy knowledge of USCG corpsmen. A PubMed literature search of the phrase “((Corpsman) OR (Corpsmen)) AND (Coast Guard)” yields 135 results, though none were relevant to the USCG population described in this study. A PubMed literature search of the phrase “(Jeopardy!) AND (pharmacy)” yields 28 results, only 1 of which discusses using the game-based approach as an instructional tool.5 A PubMed literature search of the phrase “(game) AND (Coast Guard)” yields 55 results, none of which were specifically relevant to game-based learning in the USCG. This study appears to be among the first to discuss results and trends in game-based learning with USCG corpsmen.

The preponderance of literature for game-based learning strategies exists in children; more research in adults is needed.6,7 With studies showing that game-based learning may impact motivation to learn and learning gains, it is unsurprising that there is some research in professional health care education. Games modeled after everything from simulated clinical scenarios to Family Feud and Chutes and Ladders-style games have been compared with traditional learning strategies. However, the results of whether game-based learning strategies improve knowledge, clinical decision-making, and motivation to learn vary, suggesting the need for more research in this field.8

The results of this study suggest that Jeopardy! is likely an effective instructional method for USCG corpsmen on pharmacy topics. While there were some HSs whose postintervention scores decreased, 19 (68%) had increased scores. Because the second assessment was administered about 2 weeks after the game-based learning, the results suggest some level of knowledge retention. Between these results and the informally perceived level of engagement, game-based learning could be a more stimulating alternative training method to a standard slide-based presentation.

Stratifying the data by demographics revealed additional trends, although they should be interpreted with caution due to the small sample size. The baseline results strongly illustrate the value of formalized training. It is generally expected that HSs who have completed the “C” school pharmacy technician training program should have more pharmacy knowledge than those with on-the-job or less training. The results indicate that “C” school trained and on-the-job trained HSs scored higher on the preintervention assessment (mean, 23.0 and 16.0, respectively), than those with no such experiences (mean, 13.9). Such results underscore the value of formalized training—whether as a pharmacy technician or in any other “C” school—in enhancing the medical knowledge of HSs that may allow them to hold roles of increased responsibility and medical scope.

In addition to stratification by pharmacy technician training, stratification by years of HS experience (roughly correlated to rank) yields a similar result. It would be expected that as HSs advance in their careers, they gain more exposure to various medical topics, including pharmacy. That is not always the case, however, as it is possible an HS never rotated through a pharmacy technician position or has not been recently exposed to pharmacy knowledge. Nevertheless, the results suggest that increased HS experience was likely associated with an increased baseline pharmacy knowledge, with mean preintervention scores increasing from 11.9 to 18.1 to 19.3 for E-4, E-5, and E-6, respectively.

While there are many explanations for these results, the authors hypothesize that when HSs are E-4s, they might not yet have exposure to all aspects of the clinic and are perhaps not as well-versed in pharmacy practice. An E-5—now a few years into their career—would have completed pharmacy technician “C” school or on-the-job training (if applicable), which could account for the significant jump in pharmacy knowledge scores. An E-6 can still engage in direct patient care activities but take on leadership and supervisory roles within the clinic, perhaps explaining the smaller increase in score.

In terms of increasing responsibility, many USCG corpsmen complete another schooling opportunity—Independent Duty Health Services Technician (IDHS)—so they can serve in independent duty roles, many of which are on USCG cutters. While cutters are deployed, that IDHS could be the sole medical personnel on the cutter and function in a midlevel practitioner extender role. Formalized training in pharmacy—the benefits of which are suggested through these results—or another field of medical practice would strengthen the skillset and confidence of IDHSs.

Though not formally assessed, the 3 pharmacists noted that the game-based learning was met with overwhelmingly positive feedback in terms of excitement, energy, and overall engagement.

Limitations

This cohort of individuals represents a small proportion of the total number of USCG corpsmen, and it is not fully representative of all practice settings. HSs can be assigned to USCG cutters as IDHSs, which would not be captured in this cohort. Even within a single clinic, the knowledge of HSs varies, as not all HS duties consist solely of clinical skills. Additionally, while the overall game framework was consistent among the 3 sites, there may have been unquantifiable differences in overall teaching style by the 3 pharmacists that may have resulted in different levels of content retention. Given the lack of similar studies in this population, this study can best be described as a quantitative descriptor of results rather than a statistical comparison of what instructional method works best.

Conclusions

The USCG greatly benefits from having trained and experienced HSs fulfilling mission support roles in the organization. In addition to traditional slide-based trainings, game-based learning can be considered to create engaging learning environments to support the knowledge retention of pharmacy and other medical topics for USCG corpsmen.

The US Coast Guard (USCG) operates within the US Department of Homeland Security and represents a force of > 50,000 servicemembers.1 The missions of the service include maritime law enforcement (drug interdiction), search and rescue, and defense readiness.2

The USCG operates 42 clinics and numerous smaller sick bays of varying sizes and medical capabilities throughout the country to provide acute and routine medical services. Health services technicians (HSs) are the most common staffing component and provide much of the support services in each USCG health care setting. The HS rating, colloquially referred to as corpsmen, is achieved through a 22-week course known as “A” school that trains servicemembers in outpatient and acute care, including emergency medical technician training.3 There are about 750 USCG HSs.

Within USCG clinics, HSs conduct ambulatory intakes for outpatient appointments, administer immunizations and blood draws, requisition medical equipment and supplies, serve as a pharmacy technician, complete physical examinations, and manage referrals, among other duties. Their familiarity with different aspects of clinic operations and medical practice must be broad. To that end, corpsmen develop and reinforce their medical knowledge through various trainings, including additional courses to specialize in certain medical skills, such as pharmacy technician “C” school or dental assistant “C” school.

The USCG employs < 15 field pharmacists, most of whom serve in an ambulatory care environment.4 Responsibilities of USCG pharmacists include the routine reinforcement of pharmacy knowledge with HSs. For the corpsmen who are not pharmacy technicians or who have not attended pharmacy technician “C” school, the extent of their pharmacy instruction primarily came from the “A” school curriculum, of which only 1 class is specific to pharmacy. Providing routine pharmacy-related training to the HSs further cultivates their pharmacy knowledge and confidence so that they can practice more holistically. These trainings do not need to follow any specific format.

In this study, 3 pharmacists at 3 separate USCG clinics conducted a training inspired by the Jeopardy! game show with the corpsmen at their respective clinics. This study examined the effectiveness of game-based learning on the pharmacy knowledge retention of HSs at 3 USCG clinics. A secondary objective was to evaluate the baseline pharmacy knowledge of corpsmen based on specific corpsmen demographics.

Methods

As part of a USCG quality improvement study in 2024, 28 HSs at the 3 USCG clinics were provided a preintervention assessment, completed game-based educational program (intervention), and then were assessed again following the intervention.

The HSs were presented with a 25-question assessment that included 10 knowledge questions (3 on over-the-counter medications, 2 on use of medications in pregnancy, 2 on precautions and contraindications, 2 on indications, and 1 on immunizations) and 15 brand-generic matching questions. These questions were developed and reviewed by the 3 participating pharmacists to ensure that their scope was commensurate with the overall pharmacy knowledge that could be reasonably expected of corpsmen spanning various points of their HS career.

One to 7 days after the preintervention assessment, the pharmacists hosted the game-based learning modeled after Jeopardy!. The Jeopardy! categories mirrored the assessment knowledge question categories, and brand-generic nomenclature was freely discussed throughout. About 2 weeks later, the same HSs who completed the preintervention assessment and participated in the game were presented with the same assessment.

In addition to capturing the difference in scores between the 2 assessments, additional demographic data were gathered, including service time as an HS and whether they received formalized pharmacy technician training and if so, how long they have served in that capacity. Demographic data were collected to identify potential correlations between demographic characteristics and results.

Results

Twenty-eight HSs at the 3 clinics completed the game-based training and both assessments. The mean score increased from 15.1 preintervention to 17.4 postintervention (Table). Preintervention scores ranged from 1 to 24 and postintervention scores ranged from 6 to 25.

FDP04301028_T1

There were 19 HSs (68%) whose score increased from preintervention to postintervention and 5 (18%) had decreased scores. The largest score decrease was 4 (from 18 to 14), and the largest score increase was 11 (from 13 to 24). The mean improvement was 3.9 among the 19 HSs with increased scores

Twenty-one HSs reported no formal pharmacy technician training, 3 completed pharmacy technician “C” school, and 4 received informal on-the-job training. The mean score for the “C” school trained HSs was 23.0 preintervention and 23.7 postintervention. The mean score for HSs trained on the job was 16.0 preintervention and 18.5 postintervention. The mean score for HSs with no training was 13.9 preintervention and 16.3 postintervention.

As HSs advance in their careers, they typically assume roles with increasing technical knowledge, responsibility, and oversight, thus aligning with advancement from E-4 (third class petty officer) to E-6 (first class petty officer) and beyond. In this study, there was 1 E-3, 12 E-4s (mean time as an HS, 1.3 years), 8 E-5s (mean time as an HS, 4.8 years), and 7 E-6s (mean time as an HS, 8.6 years). The E-3 had a preintervention score of 1.0 and a postintervention score of 6.0. The E-4s had a mean change in score from pre- to postintervention of 2.4. The E-5s had a mean change in score from pre- to postintervention of 1.6. The E-6s had a mean change in score from pre- to postintervention of 2.3.

Discussion

This study is novel in its examination of the impact of game-based learning on the retention of the pharmacy knowledge of USCG corpsmen. A PubMed literature search of the phrase “((Corpsman) OR (Corpsmen)) AND (Coast Guard)” yields 135 results, though none were relevant to the USCG population described in this study. A PubMed literature search of the phrase “(Jeopardy!) AND (pharmacy)” yields 28 results, only 1 of which discusses using the game-based approach as an instructional tool.5 A PubMed literature search of the phrase “(game) AND (Coast Guard)” yields 55 results, none of which were specifically relevant to game-based learning in the USCG. This study appears to be among the first to discuss results and trends in game-based learning with USCG corpsmen.

The preponderance of literature for game-based learning strategies exists in children; more research in adults is needed.6,7 With studies showing that game-based learning may impact motivation to learn and learning gains, it is unsurprising that there is some research in professional health care education. Games modeled after everything from simulated clinical scenarios to Family Feud and Chutes and Ladders-style games have been compared with traditional learning strategies. However, the results of whether game-based learning strategies improve knowledge, clinical decision-making, and motivation to learn vary, suggesting the need for more research in this field.8

The results of this study suggest that Jeopardy! is likely an effective instructional method for USCG corpsmen on pharmacy topics. While there were some HSs whose postintervention scores decreased, 19 (68%) had increased scores. Because the second assessment was administered about 2 weeks after the game-based learning, the results suggest some level of knowledge retention. Between these results and the informally perceived level of engagement, game-based learning could be a more stimulating alternative training method to a standard slide-based presentation.

Stratifying the data by demographics revealed additional trends, although they should be interpreted with caution due to the small sample size. The baseline results strongly illustrate the value of formalized training. It is generally expected that HSs who have completed the “C” school pharmacy technician training program should have more pharmacy knowledge than those with on-the-job or less training. The results indicate that “C” school trained and on-the-job trained HSs scored higher on the preintervention assessment (mean, 23.0 and 16.0, respectively), than those with no such experiences (mean, 13.9). Such results underscore the value of formalized training—whether as a pharmacy technician or in any other “C” school—in enhancing the medical knowledge of HSs that may allow them to hold roles of increased responsibility and medical scope.

In addition to stratification by pharmacy technician training, stratification by years of HS experience (roughly correlated to rank) yields a similar result. It would be expected that as HSs advance in their careers, they gain more exposure to various medical topics, including pharmacy. That is not always the case, however, as it is possible an HS never rotated through a pharmacy technician position or has not been recently exposed to pharmacy knowledge. Nevertheless, the results suggest that increased HS experience was likely associated with an increased baseline pharmacy knowledge, with mean preintervention scores increasing from 11.9 to 18.1 to 19.3 for E-4, E-5, and E-6, respectively.

While there are many explanations for these results, the authors hypothesize that when HSs are E-4s, they might not yet have exposure to all aspects of the clinic and are perhaps not as well-versed in pharmacy practice. An E-5—now a few years into their career—would have completed pharmacy technician “C” school or on-the-job training (if applicable), which could account for the significant jump in pharmacy knowledge scores. An E-6 can still engage in direct patient care activities but take on leadership and supervisory roles within the clinic, perhaps explaining the smaller increase in score.

In terms of increasing responsibility, many USCG corpsmen complete another schooling opportunity—Independent Duty Health Services Technician (IDHS)—so they can serve in independent duty roles, many of which are on USCG cutters. While cutters are deployed, that IDHS could be the sole medical personnel on the cutter and function in a midlevel practitioner extender role. Formalized training in pharmacy—the benefits of which are suggested through these results—or another field of medical practice would strengthen the skillset and confidence of IDHSs.

Though not formally assessed, the 3 pharmacists noted that the game-based learning was met with overwhelmingly positive feedback in terms of excitement, energy, and overall engagement.

Limitations

This cohort of individuals represents a small proportion of the total number of USCG corpsmen, and it is not fully representative of all practice settings. HSs can be assigned to USCG cutters as IDHSs, which would not be captured in this cohort. Even within a single clinic, the knowledge of HSs varies, as not all HS duties consist solely of clinical skills. Additionally, while the overall game framework was consistent among the 3 sites, there may have been unquantifiable differences in overall teaching style by the 3 pharmacists that may have resulted in different levels of content retention. Given the lack of similar studies in this population, this study can best be described as a quantitative descriptor of results rather than a statistical comparison of what instructional method works best.

Conclusions

The USCG greatly benefits from having trained and experienced HSs fulfilling mission support roles in the organization. In addition to traditional slide-based trainings, game-based learning can be considered to create engaging learning environments to support the knowledge retention of pharmacy and other medical topics for USCG corpsmen.

References
  1. US Coast Guard. Organizational overview. About the US Coast Guard. Accessed October 14, 2025. https://www.uscg.mil/About
  2. US Coast Guard. Missions. About US Coast Guard. Accessed October 14, 2025. https://www.uscg.mil/About/Missions/
  3. US Coast Guard. Health services technician. Accessed October 14, 2025. https://www.gocoastguard.com/careers/enlisted/hs
  4. Zhou F, Woodward Z. Impact of pharmacist interventions at an outpatient US Coast Guard clinic. Fed Pract. 2023;40(6):174-177. doi:10.12788/fp.0383
  5. Cusick J. A Jeopardy-style review game using team clickers. MedEdPORTAL. 2016;12:10485. doi:10.15766/mep_2374-8265.10485
  6. Dahalan F, Alias N, Shaharom MSN. Gamification and game based learning for vocational education and training: a systematic literature review. Educ Inf Technol (Dordr). 2023:1-39. doi:10.1007/s10639-022-11548-w
  7. Wesselink LA. Testing the Effectiveness of Game-Based Learning for Adults by Designing an Educational Game: A Design and Research Study to Investigate the Effectiveness of Educational Games for Adults to Learn Basic Skills of Microsoft Excel. Master’s thesis. University of Twente; 2020. Accessed October 22, 2025. http://essay.utwentw.nl/88229
  8. Del Cura-González I, Ariza-Cardiel G, Polentinos-Castro E, et al. Effectiveness of a game-based educational strategy e-EDUCAGUIA for implementing antimicrobial clinical practice guidelines in family medicine residents in Spain: a randomized clinical trial by cluster. BMC Med Educ. 2022;22:893. doi:10.1186/s12909-022-03843-4
References
  1. US Coast Guard. Organizational overview. About the US Coast Guard. Accessed October 14, 2025. https://www.uscg.mil/About
  2. US Coast Guard. Missions. About US Coast Guard. Accessed October 14, 2025. https://www.uscg.mil/About/Missions/
  3. US Coast Guard. Health services technician. Accessed October 14, 2025. https://www.gocoastguard.com/careers/enlisted/hs
  4. Zhou F, Woodward Z. Impact of pharmacist interventions at an outpatient US Coast Guard clinic. Fed Pract. 2023;40(6):174-177. doi:10.12788/fp.0383
  5. Cusick J. A Jeopardy-style review game using team clickers. MedEdPORTAL. 2016;12:10485. doi:10.15766/mep_2374-8265.10485
  6. Dahalan F, Alias N, Shaharom MSN. Gamification and game based learning for vocational education and training: a systematic literature review. Educ Inf Technol (Dordr). 2023:1-39. doi:10.1007/s10639-022-11548-w
  7. Wesselink LA. Testing the Effectiveness of Game-Based Learning for Adults by Designing an Educational Game: A Design and Research Study to Investigate the Effectiveness of Educational Games for Adults to Learn Basic Skills of Microsoft Excel. Master’s thesis. University of Twente; 2020. Accessed October 22, 2025. http://essay.utwentw.nl/88229
  8. Del Cura-González I, Ariza-Cardiel G, Polentinos-Castro E, et al. Effectiveness of a game-based educational strategy e-EDUCAGUIA for implementing antimicrobial clinical practice guidelines in family medicine residents in Spain: a randomized clinical trial by cluster. BMC Med Educ. 2022;22:893. doi:10.1186/s12909-022-03843-4
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Development and Validation of an Administrative Algorithm to Identify Veterans With Epilepsy

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Development and Validation of an Administrative Algorithm to Identify Veterans With Epilepsy

Epilepsy affects about 4.5 million people in the United States and 150,000 new individuals are diagnosed each year.1,2 In 2019, epilepsy-attributable health care spending for noninstitutionalized people was around $5.4 billion and total epilepsy-attributable and epilepsy or seizure health care-related costs totaled $54 billion.3

Accurate surveillance of epilepsy in large health care systems can potentially improve health care delivery and resource allocation. A 2012 Institute of Medicine (IOM) report identified 13 recommendations to guide public health action on epilepsy, including validation of standard definitions for case ascertainment, identification of epilepsy through screening programs or protocols, and expansion of surveillance to better understand disease burden.4

A systematic review of validation studies concluded that it is reasonable to use administrative data to identify people with epilepsy in epidemiologic research. Combining The International Classification of Diseases (ICD) codes for epilepsy (ICD-10, G40-41; ICD-9, 345) with antiseizure medications (ASMs) could provide high positive predictive values (PPVs) and combining symptoms codes for convulsions (ICD-10, R56; ICD-9, 780.3, 780.39) with ASMs could lead to high sensitivity.5 However, identifying individuals with epilepsy from administrative data in large managed health care organizations is challenging.6 The IOM report noted that large managed health care organizations presented varying incidence and prevalence estimates due to differing methodology, geographic area, demographics, and definitions of epilepsy.

The Veterans Health Administration (VHA) is the largest integrated US health care system, providing care to > 9.1 million veterans.7 To improve the health and well-being of veterans with epilepsy (VWEs), a network of sites was established in 2008 called the US Department of Veterans Affairs (VA) Epilepsy Centers of Excellence (ECoE). Subsequent to the creation of the ECoE, efforts were made to identify VWEs within VHA databases.8,9 Prior to fiscal year (FY) 2016, the ECoE adopted a modified version of a well-established epilepsy diagnostic algorithm developed by Holden et al for large managed care organizations.10 The original algorithm identified patients by cross-matching ASMs with ICD-9 codes for an index year. But it failed to capture a considerable number of stable patients with epilepsy in the VHA due to incomplete documentation, and had false positives due to inclusion of patients identified from diagnostic clinics. The modified algorithm the ECoE used prior to FY 2016 considered additional prior years and excluded encounters from diagnostic clinics. The result was an improvement in the sensitivity and specificity of the algorithm. Researchers evaluating 500 patients with epilepsy estimated that the modified algorithm had a PPV of 82.0% (95% CI, 78.6%-85.4%).11

After implementation of ICD-10 codes in the VHA in FY 2016, the task of reliably and efficiently identifying VWE led to a 3-tier algorithm. This article presents a validation of the different tiers of this algorithm after the implementation of ICD-10 diagnosis codes and summarizes the surveillance data collected over the years within the VHA showing the trends of epilepsy.

Methods

The VHA National Neurology office commissioned a Neurology Cube dashboard in FY 2021 in collaboration with VHA Support Service Center (VSSC) for reporting and surveillance of VWEs as a quality improvement initiative. The Neurology Cube uses a 3-tier system for identifying VWE in the VHA databases. VSSC programmers extract data from the VHA Corporate Data Warehouse (CDW) and utilize Microsoft SQL Server and Microsoft Power BI for Neurology Cube reports. The 3-tier system identifies VWE and divides them into distinct groups. The first tier identifies VWE with the highest degree of confidence; Tiers 2 and 3 represent identification with successively lesser degrees of confidence (Figure 1).

FDP04301022_F1

Tier 1

Definition. For a given index year and the preceding 2 years, any of following diagnosis codes on ≥ 1 clinical encounter are considered: 345.xx (epilepsy in ICD-9), 780.3x (other convulsions in ICD-9), G40.xxx (epilepsy in ICD-10), R40.4 (transient alteration of awareness), R56.1 (posttraumatic seizures), or R56.9 (unspecified convulsions). To reduce false positive rates, EEG clinic visits, which may include long-term monitoring, are excluded. Patients identified with ICD codes are then evaluated for an ASM prescription for ≥ 30 days during the index year. ASMs are listed in Appendix 1.

 

Validation. The development and validation of ICD-9 diagnosis codes crossmatched with an ASM prescription in the VHA has been published elsewhere.11 In FY 2017, after implementation of ICD-10 diagnostic codes, Tier 1 development and validation was performed in 2 phases. Even though Tier 1 study phases were conducted and completed during FY 2017, the patients for Tier 1 were identified from evaluation of FY 2016 data (October 1, 2015, to September 30, 2016). After the pilot analysis, the Tier 1 definition was implemented, and a chart review of 625 randomized patients was conducted at 5 sites for validation. Adequate preliminary data was not available to perform a sample size estimation for this study. Therefore, a practical target of 125 patients was set for Tier 1 from each site to obtain a final sample size of 625 patients. This second phase validated that the crossmatch of ICD-10 diagnosis codes with ASMs had a high PPV for identifying VWE.

Tiers 2 and 3

Definitions. For an index year, Tier 2 includes patients with ≥ 1 inpatient encounter documentation of either ICD-9 345.xx or ICD-10 G40.xxx, excluding EEG clinics. Tier 3 Includes patients who have had ≥ 2 outpatient encounters with diagnosis codes 345.xx or G40.xxx on 2 separate days, excluding EEG clinics. Tiers 2 and 3 do not require ASM prescriptions; this helps to identify VWEs who may be getting their medications outside of VHA or those who have received a new diagnosis.

Validations. Tiers 2 and 3 were included in the epilepsy identification algorithm in FY 2021 after validation was performed on a sample of 8 patients in each tier. Five patients were subsequently identified as having epilepsy in Tier 2 and 6 patients were identified in Tier 3. A more comprehensive validation of Tiers 2 and 3 was performed during FY 2022 that included patients at 5 sites seen during FY 2019 to FY 2022. Since yearly trends showed only about 8% of total patients were identified as having epilepsy through Tiers 2 and 3 we sought ≥ 20 patients per tier for the 5 sites for a total of 200 patients to ensure representation across the VHA. The final count was 126 patients for Tier 2 and 174 patients for Tier 3 (n = 300).

Gold Standard Criteria for Epilepsy Diagnosis

We used the International League Against Epilepsy (ILAE) definition of epilepsy for the validation of the 3 algorithm tiers. ILAE defines epilepsy as ≥ 2 unprovoked (or reflex) seizures occurring > 24 hours apart or 1 unprovoked (or reflex) seizure and a probability of further seizures similar to the general recurrence risk (≥ 60%) after 2 unprovoked seizures, occurring over the next 10 years.12

A standard protocol was provided to evaluators to identify patients using the VHA Computerized Patient Record System (Appendix 1). After review, evaluators categorized each patient in 1 of 4 ways: (1) Yes, definite: The patient’s health care practitioner (HCP) believes the patient has epilepsy and is treating with medication; (2) Yes, uncertain: The HCP has enough suspicion of epilepsy that a medication is prescribed, but uncertainty is expressed of the diagnosis; (3) No, definite: The HCP does not believe the patient has epilepsy and is therefore not treating with medication for seizure; (4) No, uncertain: The HCP is not treating with medication for epilepsy, because the diagnostic suspicion is not high enough, but there is suspicion for epilepsy.

As a quality improvement operational project, the Epilepsy National Program Office approved this validation project and determined that institutional review board approval was not required.

Statistical Analysis

Counts and percentages were computed for categories of epilepsy status. PPV of each tier was estimated with asymptotic 95% CIs.

Results

ICD-10 codes for 480 patients were evaluated in Tier 1 phase 1; 13.8% were documented with G40.xxx, 27.9% with R56.1, 34.4% with R56.9, and 24.0% with R40.4 (Appendix 2). In total, 68.1% fulfilled the criteria of epilepsy, 19.2% did not, and 12.7% were uncertain). From the validation of Tier 1 phase 2 (n = 625), the PPV of the algorithm for patients presumed to have epilepsy (definite and uncertain) was 85.1% (95% CI, 82.1%-87.8%) (Table).

FDP04301022_T1

 

Of 300 patients evaluated, 126 (42.0%) were evaluated for Tier 2 with a PPV of 61.9% (95% CI, 53.4%-70.4%), and 174 (58.0%) patients were evaluated for Tier 3 with a PPV of 59.8% (95% CI, 52.5%-67.1%. The PPV of the algorithm for patients presumed to have epilepsy (definite and uncertain) were combined to calculate the PPV. Estimates of VHA VWE counts were computed for each tier from FY 2014 to FY 2023 using the VSSC Neurology Cube (Figure 2). For all years, > 92% patients were classified using the Tier 1 definition.

FDP04301022_F2

Discussion

The development and validation of the 3-tier diagnostic algorithm represents an important advancement in the surveillance and management of epilepsy among veterans within the VHA. The validation of this algorithm also demonstrates its practical utility in a large, integrated health care system.

Specific challenges were encountered when attempting to use pre-existing algorithms; these challenges included differences in the usage patterns of diagnostic codes and the patterns of ASM use within the VHA. These challenges prompted the need for a tailored approach, which led to the development of this algorithm. The inclusion of additional ICD-10 codes led to further revisions and subsequent validation. While many of the basic concepts of the algorithm, including ICD codes and ASMs, could work in other institutions, it would be wise for health care organizations to develop their own algorithms because of certain variables, including organizational size, patient demographics, common comorbidities, and the specific configurations of electronic health records and administrative data systems.

Studies have shown that ICD-10 codes for epilepsy (G40.* and/or R56.9) perform well in identifying epilepsy whether they are assigned by neurologists (sensitivity, 97.7%; specificity, 44.1%; PPV, 96.2%; negative predictive value, 57.7%), or in emergency department or hospital discharges (PPV, 75.5%).13,14 The pilot study of the algorithm’s Tier 1 development (phase 1) evaluated whether the selected ICD-10 diagnostic codes accurately included the VWE population within the VHA and revealed that while most codes (eg, epilepsy [G40.xxx]; posttraumatic seizures [R56.1]; and unspecified convulsions [R56.9]), had a low false positive rate (< 16%), the R40.4 code (transient alteration of awareness) had a higher false positivity of 42%. While this is not surprising given the broad spectrum of conditions that can manifest as transient alteration of awareness, it underscores the inherent challenges in diagnosing epilepsy using diagnosis codes.

In phase 2, the Tier 1 algorithm was validated as effective for identifying VWE in the VHA system, as its PPV was determined to be high (85%). In comparison, Tiers 2 and 3, whose criteria did not require data on VHA prescribed ASM use, had lower tiers of epilepsy predictability (PPV about 60% for both). This was thought to be acceptable because Tiers 2 and 3 represent a smaller population of the identified VWEs (about 8%). These VWEs may otherwise have been missed, partly because veterans are not required to get ASMs from the VHA.

Upon VHA implementation in FY 2021, this diagnostic algorithm exhibited significant clinical utility when integrated within the VSSC Neurology Cube. It facilitated an efficient approach to identifying VWEs using readily available databases. This led to better tracking of real-time epilepsy cases, which facilitated improving current resource allocation and targeted intervention strategies such as identification of drug-resistant epilepsy patients, optimizing strategies for telehealth and patient outreach for awareness of epilepsy care resources within VHA. Meanwhile, data acquired by the algorithm over the decade since its development (FY 2014 to FY 2023) contributed to more accurate epidemiologic information and identification of historic trends. Development of the algorithm represents one of the ways ECoEs have led to improved care for VWEs. ECoEs have been shown to improve health care for veterans in several metrics.15

A strength of this study is the rigorous multitiered validation process to confirm the diagnostic accuracy of ICD-10 codes against the gold standard ILAE definition of epilepsy to identify “definite” epilepsy cases within the VHA. The use of specific ICD codes further enhances the precision of epilepsy diagnoses. The inclusion of ASMs, which are sometimes prescribed for conditions other than epilepsy, could potentially inflate false positive rates.16

This study focused exclusively on the identification and validation of definite epilepsy cases within the VHA VSSC database, employing more stringent diagnostic criteria to ensure the highest level of certainty in ascertaining epilepsy. It is important to note there is a separate category of probable epilepsy, which involves a broader set of diagnostic criteria. While not covered in this study, probable epilepsy would be subject to future research and validation, which could provide insights into a wider spectrum of epilepsy diagnoses. Such future research could help refine the algorithm’s applicability and accuracy and potentially lead to more comprehensive surveillance and management strategies in clinical practice.

This study highlights the inherent challenges in leveraging administrative data for disease identification, particularly for conditions such as epilepsy, where diagnostic clarity can be complex. However, other conditions such as multiple sclerosis have noted similar success with the use of VHA administrative data for categorizing disease.17

Limitations

The algorithm discussed in this article is, in and of itself, generalizable. However, the validation process was unique to the VHA patient population, limiting the generalizability of the findings. Documentation practices and HCP attitudes within the VHA may differ from those in other health care settings. Identifying people with epilepsy can be challenging because of changing definitions of epilepsy over time. In addition to clinical evaluation, EEG and magnetic resonance imaging results, response to ASM treatment, and video-EEG monitoring of habitual events all can help establish the diagnosis. Therefore, studies may vary in how inclusive or exclusive the criteria are. ASMs such as gabapentin, pregabalin, carbamazepine, lamotrigine, topiramate, and valproate are used to treat other conditions, including headaches, generalized pain, and mood disorders. Consequently, including these ASMs in the Tier 1 definition may have increased the false positive rate. Additional research is needed to evaluate whether excluding these ASMs from the algorithm based on specific criteria (eg, dose of ASM used) can further refine the algorithm to identify patients with epilepsy.

Further refinement of this algorithm may also occur as technology changes. Future electronic health records may allow better tracking of different epilepsy factors, the integration of additional diagnostic criteria, and the use of natural language processing or other forms of artificial intelligence.

Conclusions

This study presents a significant step forward in epilepsy surveillance within the VHA. The algorithm offers a robust tool for identifying VWEs with good PPVs, facilitating better resource allocation and targeted care. Despite its limitations, this research lays a foundation for future advancements in the management and understanding of epilepsy within large health care systems. Since this VHA algorithm is based on ASMs and ICD diagnosis codes from patient records, other large managed health care systems also may be able to adapt this algorithm to their data specifications.

FDP04301022_A1

FDP04301022_A2

References
  1. Kobau R, Luncheon C, Greenlund K. Active epilepsy prevalence among U.S. adults is 1.1% and differs by educational level-National Health Interview Survey, United States, 2021. Epilepsy Behav. 2023;142:109180. doi:10.1016/j.yebeh.2023.109180
  2. GBD 2017 US Neurological Disorders Collaborators, Feigin VL, Vos T, et al. Burden of neurological disorders across the US from 1990-2017: a global burden of disease study. JAMA Neurol. 2021;78:165-176. doi:10.1001/jamaneurol.2020.4152
  3. Moura LMVR, Karakis I, Zack MM, et al. Drivers of US health care spending for persons with seizures and/or epilepsies, 2010-2018. Epilepsia. 2022;63:2144-2154. doi:10.1111/epi.17305
  4. Institute of Medicine. Epilepsy Across the Spectrum: Promoting Health and Understanding. The National Academies Press; 2012. Accessed November 11, 2025. www.nap.edu/catalog/13379
  5. Mbizvo GK, Bennett KH, Schnier C, Simpson CR, Duncan SE, Chin RFM. The accuracy of using administrative healthcare data to identify epilepsy cases: A systematic review of validation studies. Epilepsia. 2020;61:1319-1335. doi:10.1111/epi.16547
  6. Montouris GD. How will primary care physicians, specialists, and managed care treat epilepsy in the new millennium? Neurology. 2000;55:S42-S44.
  7. US Department of Veterans Affairs. Veterans Health Administration: About VHA. Accessed November 11, 2025. https://www.va.gov/health/aboutvha.asp
  8. Veterans’ Mental Health and Other Care Improvements Act of 2008, S 2162, 110th Cong (2008). Accessed November 11, 2025. https://www.congress.gov/bill/110th-congress/senate-bill/2162
  9. Rehman R, Kelly PR, Husain AM, Tran TT. Characteristics of Veterans diagnosed with seizures within Veterans Health Administration. J Rehabil Res Dev. 2015;52(7):751-762. doi:10.1682/JRRD.2014.10.0241
  10. Holden EW, Grossman E, Nguyen HT, et al. Developing a computer algorithm to identify epilepsy cases in managed care organizations. Dis Manag. 2005;8:1-14. doi:10.1089/dis.2005.8.1
  11. Rehman R, Everhart A, Frontera AT, et al. Implementation of an established algorithm and modifications for the identification of epilepsy patients in the Veterans Health Administration. Epilepsy Res. 2016;127:284-290. doi:10.1016/j.eplepsyres.2016.09.012
  12. Fisher RS, Acevedo C, Arzimanoglou A, et al. ILAE official report: a practical clinical definition of epilepsy. Epilepsia. 2014;55:475-482. doi:10.1111/epi.12550
  13. Smith JR, Jones FJS, Fureman BE, et al. Accuracy of ICD-10-CM claims-based definitions for epilepsy and seizure type. Epilepsy Res. 2020;166:106414. doi:10.1016/j.eplepsyres.2020.106414
  14. Jetté N, Reid AY, Quan H, et al. How accurate is ICD coding for epilepsy? Epilepsia. 2010;51:62-69. doi:10.1111/j.1528-1167.2009.02201.x
  15. Kelly P, Chinta R, Privitera G. Do centers of excellence reduce health care costs? Evidence from the US Veterans Health Administration Centers for Epilepsy. Glob Bus Organ Excell. 2015;34:18-29.
  16. Haneef Z, Rehman R, Husain AM. Association between standardized mortality ratio and utilization of care in US veterans with drug-resistant epilepsy compared with all US veterans and the US general population. JAMA Neurol. 2022;79:879-887. doi:10.1001/jamaneurol.2022.2290
  17. Culpepper WJ, Marrie RA, Langer-Gould A, et al. Validation of an algorithm for identifying MS cases in administrative health claims datasets. Neurology. 2019;92:e1016-e1028 doi:10.1212/WNL.0000000000007043
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Rizwana Rehman, PhDa; Zulfi Haneef, MDb,c; Sheela Sajan, DNPa; Alfred Frontera, MDd,e; Maria R. Lopez, MDf,g; Stephan Eisenschenk, MDh,i; Tung Tran, MDa,j

Author affiliations
aDurham Veterans Affairs Medical Center, North Carolina
bBaylor College of Medicine, Houston, Texas 
cMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas 
dJames A. Haley Veterans’ Hospital, Tampa, Florida 
eUniversity of South Florida, Tampa 
fBruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida 
gMiller School of Medicine, University of Miami, Florida 
hMalcolm Randall VA Medical Center, Gainesville, Florida 
iUniversity of Florida Health, Gainesville
jDuke University, Durham, North Carolina

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

Correspondence: Rizwana Rehman (rizwana.rehman@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0660

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This manuscript describes a quality improvement project and SQUIRE guidelines were followed in reporting. As a quality improvement (operational) project, the National Program office of Epilepsy approved this validation project, and institutional review board approval was not sought.

Acknowledgments This study was supported by the Veterans Health Administration Neurology program office. The authors thank Donald Higgins, MD, and Sharyl Martini, MD, PhD, for their support. The authors are indebted to Paul Rutecki, MD, Aatif Husain, MD, Alan Town, MD, Nina Garga, MD, and Allan Krumholz, MD. Authors are also grateful to Cheryl Strickland, BS, Kenneth Bukowski, BS, Joanna Moran, MHA, RRT, and Michelle Lee, MSBNA, MSIS.

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Rizwana Rehman, PhDa; Zulfi Haneef, MDb,c; Sheela Sajan, DNPa; Alfred Frontera, MDd,e; Maria R. Lopez, MDf,g; Stephan Eisenschenk, MDh,i; Tung Tran, MDa,j

Author affiliations
aDurham Veterans Affairs Medical Center, North Carolina
bBaylor College of Medicine, Houston, Texas 
cMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas 
dJames A. Haley Veterans’ Hospital, Tampa, Florida 
eUniversity of South Florida, Tampa 
fBruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida 
gMiller School of Medicine, University of Miami, Florida 
hMalcolm Randall VA Medical Center, Gainesville, Florida 
iUniversity of Florida Health, Gainesville
jDuke University, Durham, North Carolina

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

Correspondence: Rizwana Rehman (rizwana.rehman@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0660

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This manuscript describes a quality improvement project and SQUIRE guidelines were followed in reporting. As a quality improvement (operational) project, the National Program office of Epilepsy approved this validation project, and institutional review board approval was not sought.

Acknowledgments This study was supported by the Veterans Health Administration Neurology program office. The authors thank Donald Higgins, MD, and Sharyl Martini, MD, PhD, for their support. The authors are indebted to Paul Rutecki, MD, Aatif Husain, MD, Alan Town, MD, Nina Garga, MD, and Allan Krumholz, MD. Authors are also grateful to Cheryl Strickland, BS, Kenneth Bukowski, BS, Joanna Moran, MHA, RRT, and Michelle Lee, MSBNA, MSIS.

Author and Disclosure Information

Rizwana Rehman, PhDa; Zulfi Haneef, MDb,c; Sheela Sajan, DNPa; Alfred Frontera, MDd,e; Maria R. Lopez, MDf,g; Stephan Eisenschenk, MDh,i; Tung Tran, MDa,j

Author affiliations
aDurham Veterans Affairs Medical Center, North Carolina
bBaylor College of Medicine, Houston, Texas 
cMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas 
dJames A. Haley Veterans’ Hospital, Tampa, Florida 
eUniversity of South Florida, Tampa 
fBruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida 
gMiller School of Medicine, University of Miami, Florida 
hMalcolm Randall VA Medical Center, Gainesville, Florida 
iUniversity of Florida Health, Gainesville
jDuke University, Durham, North Carolina

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

Correspondence: Rizwana Rehman (rizwana.rehman@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0660

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This manuscript describes a quality improvement project and SQUIRE guidelines were followed in reporting. As a quality improvement (operational) project, the National Program office of Epilepsy approved this validation project, and institutional review board approval was not sought.

Acknowledgments This study was supported by the Veterans Health Administration Neurology program office. The authors thank Donald Higgins, MD, and Sharyl Martini, MD, PhD, for their support. The authors are indebted to Paul Rutecki, MD, Aatif Husain, MD, Alan Town, MD, Nina Garga, MD, and Allan Krumholz, MD. Authors are also grateful to Cheryl Strickland, BS, Kenneth Bukowski, BS, Joanna Moran, MHA, RRT, and Michelle Lee, MSBNA, MSIS.

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Epilepsy affects about 4.5 million people in the United States and 150,000 new individuals are diagnosed each year.1,2 In 2019, epilepsy-attributable health care spending for noninstitutionalized people was around $5.4 billion and total epilepsy-attributable and epilepsy or seizure health care-related costs totaled $54 billion.3

Accurate surveillance of epilepsy in large health care systems can potentially improve health care delivery and resource allocation. A 2012 Institute of Medicine (IOM) report identified 13 recommendations to guide public health action on epilepsy, including validation of standard definitions for case ascertainment, identification of epilepsy through screening programs or protocols, and expansion of surveillance to better understand disease burden.4

A systematic review of validation studies concluded that it is reasonable to use administrative data to identify people with epilepsy in epidemiologic research. Combining The International Classification of Diseases (ICD) codes for epilepsy (ICD-10, G40-41; ICD-9, 345) with antiseizure medications (ASMs) could provide high positive predictive values (PPVs) and combining symptoms codes for convulsions (ICD-10, R56; ICD-9, 780.3, 780.39) with ASMs could lead to high sensitivity.5 However, identifying individuals with epilepsy from administrative data in large managed health care organizations is challenging.6 The IOM report noted that large managed health care organizations presented varying incidence and prevalence estimates due to differing methodology, geographic area, demographics, and definitions of epilepsy.

The Veterans Health Administration (VHA) is the largest integrated US health care system, providing care to > 9.1 million veterans.7 To improve the health and well-being of veterans with epilepsy (VWEs), a network of sites was established in 2008 called the US Department of Veterans Affairs (VA) Epilepsy Centers of Excellence (ECoE). Subsequent to the creation of the ECoE, efforts were made to identify VWEs within VHA databases.8,9 Prior to fiscal year (FY) 2016, the ECoE adopted a modified version of a well-established epilepsy diagnostic algorithm developed by Holden et al for large managed care organizations.10 The original algorithm identified patients by cross-matching ASMs with ICD-9 codes for an index year. But it failed to capture a considerable number of stable patients with epilepsy in the VHA due to incomplete documentation, and had false positives due to inclusion of patients identified from diagnostic clinics. The modified algorithm the ECoE used prior to FY 2016 considered additional prior years and excluded encounters from diagnostic clinics. The result was an improvement in the sensitivity and specificity of the algorithm. Researchers evaluating 500 patients with epilepsy estimated that the modified algorithm had a PPV of 82.0% (95% CI, 78.6%-85.4%).11

After implementation of ICD-10 codes in the VHA in FY 2016, the task of reliably and efficiently identifying VWE led to a 3-tier algorithm. This article presents a validation of the different tiers of this algorithm after the implementation of ICD-10 diagnosis codes and summarizes the surveillance data collected over the years within the VHA showing the trends of epilepsy.

Methods

The VHA National Neurology office commissioned a Neurology Cube dashboard in FY 2021 in collaboration with VHA Support Service Center (VSSC) for reporting and surveillance of VWEs as a quality improvement initiative. The Neurology Cube uses a 3-tier system for identifying VWE in the VHA databases. VSSC programmers extract data from the VHA Corporate Data Warehouse (CDW) and utilize Microsoft SQL Server and Microsoft Power BI for Neurology Cube reports. The 3-tier system identifies VWE and divides them into distinct groups. The first tier identifies VWE with the highest degree of confidence; Tiers 2 and 3 represent identification with successively lesser degrees of confidence (Figure 1).

FDP04301022_F1

Tier 1

Definition. For a given index year and the preceding 2 years, any of following diagnosis codes on ≥ 1 clinical encounter are considered: 345.xx (epilepsy in ICD-9), 780.3x (other convulsions in ICD-9), G40.xxx (epilepsy in ICD-10), R40.4 (transient alteration of awareness), R56.1 (posttraumatic seizures), or R56.9 (unspecified convulsions). To reduce false positive rates, EEG clinic visits, which may include long-term monitoring, are excluded. Patients identified with ICD codes are then evaluated for an ASM prescription for ≥ 30 days during the index year. ASMs are listed in Appendix 1.

 

Validation. The development and validation of ICD-9 diagnosis codes crossmatched with an ASM prescription in the VHA has been published elsewhere.11 In FY 2017, after implementation of ICD-10 diagnostic codes, Tier 1 development and validation was performed in 2 phases. Even though Tier 1 study phases were conducted and completed during FY 2017, the patients for Tier 1 were identified from evaluation of FY 2016 data (October 1, 2015, to September 30, 2016). After the pilot analysis, the Tier 1 definition was implemented, and a chart review of 625 randomized patients was conducted at 5 sites for validation. Adequate preliminary data was not available to perform a sample size estimation for this study. Therefore, a practical target of 125 patients was set for Tier 1 from each site to obtain a final sample size of 625 patients. This second phase validated that the crossmatch of ICD-10 diagnosis codes with ASMs had a high PPV for identifying VWE.

Tiers 2 and 3

Definitions. For an index year, Tier 2 includes patients with ≥ 1 inpatient encounter documentation of either ICD-9 345.xx or ICD-10 G40.xxx, excluding EEG clinics. Tier 3 Includes patients who have had ≥ 2 outpatient encounters with diagnosis codes 345.xx or G40.xxx on 2 separate days, excluding EEG clinics. Tiers 2 and 3 do not require ASM prescriptions; this helps to identify VWEs who may be getting their medications outside of VHA or those who have received a new diagnosis.

Validations. Tiers 2 and 3 were included in the epilepsy identification algorithm in FY 2021 after validation was performed on a sample of 8 patients in each tier. Five patients were subsequently identified as having epilepsy in Tier 2 and 6 patients were identified in Tier 3. A more comprehensive validation of Tiers 2 and 3 was performed during FY 2022 that included patients at 5 sites seen during FY 2019 to FY 2022. Since yearly trends showed only about 8% of total patients were identified as having epilepsy through Tiers 2 and 3 we sought ≥ 20 patients per tier for the 5 sites for a total of 200 patients to ensure representation across the VHA. The final count was 126 patients for Tier 2 and 174 patients for Tier 3 (n = 300).

Gold Standard Criteria for Epilepsy Diagnosis

We used the International League Against Epilepsy (ILAE) definition of epilepsy for the validation of the 3 algorithm tiers. ILAE defines epilepsy as ≥ 2 unprovoked (or reflex) seizures occurring > 24 hours apart or 1 unprovoked (or reflex) seizure and a probability of further seizures similar to the general recurrence risk (≥ 60%) after 2 unprovoked seizures, occurring over the next 10 years.12

A standard protocol was provided to evaluators to identify patients using the VHA Computerized Patient Record System (Appendix 1). After review, evaluators categorized each patient in 1 of 4 ways: (1) Yes, definite: The patient’s health care practitioner (HCP) believes the patient has epilepsy and is treating with medication; (2) Yes, uncertain: The HCP has enough suspicion of epilepsy that a medication is prescribed, but uncertainty is expressed of the diagnosis; (3) No, definite: The HCP does not believe the patient has epilepsy and is therefore not treating with medication for seizure; (4) No, uncertain: The HCP is not treating with medication for epilepsy, because the diagnostic suspicion is not high enough, but there is suspicion for epilepsy.

As a quality improvement operational project, the Epilepsy National Program Office approved this validation project and determined that institutional review board approval was not required.

Statistical Analysis

Counts and percentages were computed for categories of epilepsy status. PPV of each tier was estimated with asymptotic 95% CIs.

Results

ICD-10 codes for 480 patients were evaluated in Tier 1 phase 1; 13.8% were documented with G40.xxx, 27.9% with R56.1, 34.4% with R56.9, and 24.0% with R40.4 (Appendix 2). In total, 68.1% fulfilled the criteria of epilepsy, 19.2% did not, and 12.7% were uncertain). From the validation of Tier 1 phase 2 (n = 625), the PPV of the algorithm for patients presumed to have epilepsy (definite and uncertain) was 85.1% (95% CI, 82.1%-87.8%) (Table).

FDP04301022_T1

 

Of 300 patients evaluated, 126 (42.0%) were evaluated for Tier 2 with a PPV of 61.9% (95% CI, 53.4%-70.4%), and 174 (58.0%) patients were evaluated for Tier 3 with a PPV of 59.8% (95% CI, 52.5%-67.1%. The PPV of the algorithm for patients presumed to have epilepsy (definite and uncertain) were combined to calculate the PPV. Estimates of VHA VWE counts were computed for each tier from FY 2014 to FY 2023 using the VSSC Neurology Cube (Figure 2). For all years, > 92% patients were classified using the Tier 1 definition.

FDP04301022_F2

Discussion

The development and validation of the 3-tier diagnostic algorithm represents an important advancement in the surveillance and management of epilepsy among veterans within the VHA. The validation of this algorithm also demonstrates its practical utility in a large, integrated health care system.

Specific challenges were encountered when attempting to use pre-existing algorithms; these challenges included differences in the usage patterns of diagnostic codes and the patterns of ASM use within the VHA. These challenges prompted the need for a tailored approach, which led to the development of this algorithm. The inclusion of additional ICD-10 codes led to further revisions and subsequent validation. While many of the basic concepts of the algorithm, including ICD codes and ASMs, could work in other institutions, it would be wise for health care organizations to develop their own algorithms because of certain variables, including organizational size, patient demographics, common comorbidities, and the specific configurations of electronic health records and administrative data systems.

Studies have shown that ICD-10 codes for epilepsy (G40.* and/or R56.9) perform well in identifying epilepsy whether they are assigned by neurologists (sensitivity, 97.7%; specificity, 44.1%; PPV, 96.2%; negative predictive value, 57.7%), or in emergency department or hospital discharges (PPV, 75.5%).13,14 The pilot study of the algorithm’s Tier 1 development (phase 1) evaluated whether the selected ICD-10 diagnostic codes accurately included the VWE population within the VHA and revealed that while most codes (eg, epilepsy [G40.xxx]; posttraumatic seizures [R56.1]; and unspecified convulsions [R56.9]), had a low false positive rate (< 16%), the R40.4 code (transient alteration of awareness) had a higher false positivity of 42%. While this is not surprising given the broad spectrum of conditions that can manifest as transient alteration of awareness, it underscores the inherent challenges in diagnosing epilepsy using diagnosis codes.

In phase 2, the Tier 1 algorithm was validated as effective for identifying VWE in the VHA system, as its PPV was determined to be high (85%). In comparison, Tiers 2 and 3, whose criteria did not require data on VHA prescribed ASM use, had lower tiers of epilepsy predictability (PPV about 60% for both). This was thought to be acceptable because Tiers 2 and 3 represent a smaller population of the identified VWEs (about 8%). These VWEs may otherwise have been missed, partly because veterans are not required to get ASMs from the VHA.

Upon VHA implementation in FY 2021, this diagnostic algorithm exhibited significant clinical utility when integrated within the VSSC Neurology Cube. It facilitated an efficient approach to identifying VWEs using readily available databases. This led to better tracking of real-time epilepsy cases, which facilitated improving current resource allocation and targeted intervention strategies such as identification of drug-resistant epilepsy patients, optimizing strategies for telehealth and patient outreach for awareness of epilepsy care resources within VHA. Meanwhile, data acquired by the algorithm over the decade since its development (FY 2014 to FY 2023) contributed to more accurate epidemiologic information and identification of historic trends. Development of the algorithm represents one of the ways ECoEs have led to improved care for VWEs. ECoEs have been shown to improve health care for veterans in several metrics.15

A strength of this study is the rigorous multitiered validation process to confirm the diagnostic accuracy of ICD-10 codes against the gold standard ILAE definition of epilepsy to identify “definite” epilepsy cases within the VHA. The use of specific ICD codes further enhances the precision of epilepsy diagnoses. The inclusion of ASMs, which are sometimes prescribed for conditions other than epilepsy, could potentially inflate false positive rates.16

This study focused exclusively on the identification and validation of definite epilepsy cases within the VHA VSSC database, employing more stringent diagnostic criteria to ensure the highest level of certainty in ascertaining epilepsy. It is important to note there is a separate category of probable epilepsy, which involves a broader set of diagnostic criteria. While not covered in this study, probable epilepsy would be subject to future research and validation, which could provide insights into a wider spectrum of epilepsy diagnoses. Such future research could help refine the algorithm’s applicability and accuracy and potentially lead to more comprehensive surveillance and management strategies in clinical practice.

This study highlights the inherent challenges in leveraging administrative data for disease identification, particularly for conditions such as epilepsy, where diagnostic clarity can be complex. However, other conditions such as multiple sclerosis have noted similar success with the use of VHA administrative data for categorizing disease.17

Limitations

The algorithm discussed in this article is, in and of itself, generalizable. However, the validation process was unique to the VHA patient population, limiting the generalizability of the findings. Documentation practices and HCP attitudes within the VHA may differ from those in other health care settings. Identifying people with epilepsy can be challenging because of changing definitions of epilepsy over time. In addition to clinical evaluation, EEG and magnetic resonance imaging results, response to ASM treatment, and video-EEG monitoring of habitual events all can help establish the diagnosis. Therefore, studies may vary in how inclusive or exclusive the criteria are. ASMs such as gabapentin, pregabalin, carbamazepine, lamotrigine, topiramate, and valproate are used to treat other conditions, including headaches, generalized pain, and mood disorders. Consequently, including these ASMs in the Tier 1 definition may have increased the false positive rate. Additional research is needed to evaluate whether excluding these ASMs from the algorithm based on specific criteria (eg, dose of ASM used) can further refine the algorithm to identify patients with epilepsy.

Further refinement of this algorithm may also occur as technology changes. Future electronic health records may allow better tracking of different epilepsy factors, the integration of additional diagnostic criteria, and the use of natural language processing or other forms of artificial intelligence.

Conclusions

This study presents a significant step forward in epilepsy surveillance within the VHA. The algorithm offers a robust tool for identifying VWEs with good PPVs, facilitating better resource allocation and targeted care. Despite its limitations, this research lays a foundation for future advancements in the management and understanding of epilepsy within large health care systems. Since this VHA algorithm is based on ASMs and ICD diagnosis codes from patient records, other large managed health care systems also may be able to adapt this algorithm to their data specifications.

FDP04301022_A1

FDP04301022_A2

Epilepsy affects about 4.5 million people in the United States and 150,000 new individuals are diagnosed each year.1,2 In 2019, epilepsy-attributable health care spending for noninstitutionalized people was around $5.4 billion and total epilepsy-attributable and epilepsy or seizure health care-related costs totaled $54 billion.3

Accurate surveillance of epilepsy in large health care systems can potentially improve health care delivery and resource allocation. A 2012 Institute of Medicine (IOM) report identified 13 recommendations to guide public health action on epilepsy, including validation of standard definitions for case ascertainment, identification of epilepsy through screening programs or protocols, and expansion of surveillance to better understand disease burden.4

A systematic review of validation studies concluded that it is reasonable to use administrative data to identify people with epilepsy in epidemiologic research. Combining The International Classification of Diseases (ICD) codes for epilepsy (ICD-10, G40-41; ICD-9, 345) with antiseizure medications (ASMs) could provide high positive predictive values (PPVs) and combining symptoms codes for convulsions (ICD-10, R56; ICD-9, 780.3, 780.39) with ASMs could lead to high sensitivity.5 However, identifying individuals with epilepsy from administrative data in large managed health care organizations is challenging.6 The IOM report noted that large managed health care organizations presented varying incidence and prevalence estimates due to differing methodology, geographic area, demographics, and definitions of epilepsy.

The Veterans Health Administration (VHA) is the largest integrated US health care system, providing care to > 9.1 million veterans.7 To improve the health and well-being of veterans with epilepsy (VWEs), a network of sites was established in 2008 called the US Department of Veterans Affairs (VA) Epilepsy Centers of Excellence (ECoE). Subsequent to the creation of the ECoE, efforts were made to identify VWEs within VHA databases.8,9 Prior to fiscal year (FY) 2016, the ECoE adopted a modified version of a well-established epilepsy diagnostic algorithm developed by Holden et al for large managed care organizations.10 The original algorithm identified patients by cross-matching ASMs with ICD-9 codes for an index year. But it failed to capture a considerable number of stable patients with epilepsy in the VHA due to incomplete documentation, and had false positives due to inclusion of patients identified from diagnostic clinics. The modified algorithm the ECoE used prior to FY 2016 considered additional prior years and excluded encounters from diagnostic clinics. The result was an improvement in the sensitivity and specificity of the algorithm. Researchers evaluating 500 patients with epilepsy estimated that the modified algorithm had a PPV of 82.0% (95% CI, 78.6%-85.4%).11

After implementation of ICD-10 codes in the VHA in FY 2016, the task of reliably and efficiently identifying VWE led to a 3-tier algorithm. This article presents a validation of the different tiers of this algorithm after the implementation of ICD-10 diagnosis codes and summarizes the surveillance data collected over the years within the VHA showing the trends of epilepsy.

Methods

The VHA National Neurology office commissioned a Neurology Cube dashboard in FY 2021 in collaboration with VHA Support Service Center (VSSC) for reporting and surveillance of VWEs as a quality improvement initiative. The Neurology Cube uses a 3-tier system for identifying VWE in the VHA databases. VSSC programmers extract data from the VHA Corporate Data Warehouse (CDW) and utilize Microsoft SQL Server and Microsoft Power BI for Neurology Cube reports. The 3-tier system identifies VWE and divides them into distinct groups. The first tier identifies VWE with the highest degree of confidence; Tiers 2 and 3 represent identification with successively lesser degrees of confidence (Figure 1).

FDP04301022_F1

Tier 1

Definition. For a given index year and the preceding 2 years, any of following diagnosis codes on ≥ 1 clinical encounter are considered: 345.xx (epilepsy in ICD-9), 780.3x (other convulsions in ICD-9), G40.xxx (epilepsy in ICD-10), R40.4 (transient alteration of awareness), R56.1 (posttraumatic seizures), or R56.9 (unspecified convulsions). To reduce false positive rates, EEG clinic visits, which may include long-term monitoring, are excluded. Patients identified with ICD codes are then evaluated for an ASM prescription for ≥ 30 days during the index year. ASMs are listed in Appendix 1.

 

Validation. The development and validation of ICD-9 diagnosis codes crossmatched with an ASM prescription in the VHA has been published elsewhere.11 In FY 2017, after implementation of ICD-10 diagnostic codes, Tier 1 development and validation was performed in 2 phases. Even though Tier 1 study phases were conducted and completed during FY 2017, the patients for Tier 1 were identified from evaluation of FY 2016 data (October 1, 2015, to September 30, 2016). After the pilot analysis, the Tier 1 definition was implemented, and a chart review of 625 randomized patients was conducted at 5 sites for validation. Adequate preliminary data was not available to perform a sample size estimation for this study. Therefore, a practical target of 125 patients was set for Tier 1 from each site to obtain a final sample size of 625 patients. This second phase validated that the crossmatch of ICD-10 diagnosis codes with ASMs had a high PPV for identifying VWE.

Tiers 2 and 3

Definitions. For an index year, Tier 2 includes patients with ≥ 1 inpatient encounter documentation of either ICD-9 345.xx or ICD-10 G40.xxx, excluding EEG clinics. Tier 3 Includes patients who have had ≥ 2 outpatient encounters with diagnosis codes 345.xx or G40.xxx on 2 separate days, excluding EEG clinics. Tiers 2 and 3 do not require ASM prescriptions; this helps to identify VWEs who may be getting their medications outside of VHA or those who have received a new diagnosis.

Validations. Tiers 2 and 3 were included in the epilepsy identification algorithm in FY 2021 after validation was performed on a sample of 8 patients in each tier. Five patients were subsequently identified as having epilepsy in Tier 2 and 6 patients were identified in Tier 3. A more comprehensive validation of Tiers 2 and 3 was performed during FY 2022 that included patients at 5 sites seen during FY 2019 to FY 2022. Since yearly trends showed only about 8% of total patients were identified as having epilepsy through Tiers 2 and 3 we sought ≥ 20 patients per tier for the 5 sites for a total of 200 patients to ensure representation across the VHA. The final count was 126 patients for Tier 2 and 174 patients for Tier 3 (n = 300).

Gold Standard Criteria for Epilepsy Diagnosis

We used the International League Against Epilepsy (ILAE) definition of epilepsy for the validation of the 3 algorithm tiers. ILAE defines epilepsy as ≥ 2 unprovoked (or reflex) seizures occurring > 24 hours apart or 1 unprovoked (or reflex) seizure and a probability of further seizures similar to the general recurrence risk (≥ 60%) after 2 unprovoked seizures, occurring over the next 10 years.12

A standard protocol was provided to evaluators to identify patients using the VHA Computerized Patient Record System (Appendix 1). After review, evaluators categorized each patient in 1 of 4 ways: (1) Yes, definite: The patient’s health care practitioner (HCP) believes the patient has epilepsy and is treating with medication; (2) Yes, uncertain: The HCP has enough suspicion of epilepsy that a medication is prescribed, but uncertainty is expressed of the diagnosis; (3) No, definite: The HCP does not believe the patient has epilepsy and is therefore not treating with medication for seizure; (4) No, uncertain: The HCP is not treating with medication for epilepsy, because the diagnostic suspicion is not high enough, but there is suspicion for epilepsy.

As a quality improvement operational project, the Epilepsy National Program Office approved this validation project and determined that institutional review board approval was not required.

Statistical Analysis

Counts and percentages were computed for categories of epilepsy status. PPV of each tier was estimated with asymptotic 95% CIs.

Results

ICD-10 codes for 480 patients were evaluated in Tier 1 phase 1; 13.8% were documented with G40.xxx, 27.9% with R56.1, 34.4% with R56.9, and 24.0% with R40.4 (Appendix 2). In total, 68.1% fulfilled the criteria of epilepsy, 19.2% did not, and 12.7% were uncertain). From the validation of Tier 1 phase 2 (n = 625), the PPV of the algorithm for patients presumed to have epilepsy (definite and uncertain) was 85.1% (95% CI, 82.1%-87.8%) (Table).

FDP04301022_T1

 

Of 300 patients evaluated, 126 (42.0%) were evaluated for Tier 2 with a PPV of 61.9% (95% CI, 53.4%-70.4%), and 174 (58.0%) patients were evaluated for Tier 3 with a PPV of 59.8% (95% CI, 52.5%-67.1%. The PPV of the algorithm for patients presumed to have epilepsy (definite and uncertain) were combined to calculate the PPV. Estimates of VHA VWE counts were computed for each tier from FY 2014 to FY 2023 using the VSSC Neurology Cube (Figure 2). For all years, > 92% patients were classified using the Tier 1 definition.

FDP04301022_F2

Discussion

The development and validation of the 3-tier diagnostic algorithm represents an important advancement in the surveillance and management of epilepsy among veterans within the VHA. The validation of this algorithm also demonstrates its practical utility in a large, integrated health care system.

Specific challenges were encountered when attempting to use pre-existing algorithms; these challenges included differences in the usage patterns of diagnostic codes and the patterns of ASM use within the VHA. These challenges prompted the need for a tailored approach, which led to the development of this algorithm. The inclusion of additional ICD-10 codes led to further revisions and subsequent validation. While many of the basic concepts of the algorithm, including ICD codes and ASMs, could work in other institutions, it would be wise for health care organizations to develop their own algorithms because of certain variables, including organizational size, patient demographics, common comorbidities, and the specific configurations of electronic health records and administrative data systems.

Studies have shown that ICD-10 codes for epilepsy (G40.* and/or R56.9) perform well in identifying epilepsy whether they are assigned by neurologists (sensitivity, 97.7%; specificity, 44.1%; PPV, 96.2%; negative predictive value, 57.7%), or in emergency department or hospital discharges (PPV, 75.5%).13,14 The pilot study of the algorithm’s Tier 1 development (phase 1) evaluated whether the selected ICD-10 diagnostic codes accurately included the VWE population within the VHA and revealed that while most codes (eg, epilepsy [G40.xxx]; posttraumatic seizures [R56.1]; and unspecified convulsions [R56.9]), had a low false positive rate (< 16%), the R40.4 code (transient alteration of awareness) had a higher false positivity of 42%. While this is not surprising given the broad spectrum of conditions that can manifest as transient alteration of awareness, it underscores the inherent challenges in diagnosing epilepsy using diagnosis codes.

In phase 2, the Tier 1 algorithm was validated as effective for identifying VWE in the VHA system, as its PPV was determined to be high (85%). In comparison, Tiers 2 and 3, whose criteria did not require data on VHA prescribed ASM use, had lower tiers of epilepsy predictability (PPV about 60% for both). This was thought to be acceptable because Tiers 2 and 3 represent a smaller population of the identified VWEs (about 8%). These VWEs may otherwise have been missed, partly because veterans are not required to get ASMs from the VHA.

Upon VHA implementation in FY 2021, this diagnostic algorithm exhibited significant clinical utility when integrated within the VSSC Neurology Cube. It facilitated an efficient approach to identifying VWEs using readily available databases. This led to better tracking of real-time epilepsy cases, which facilitated improving current resource allocation and targeted intervention strategies such as identification of drug-resistant epilepsy patients, optimizing strategies for telehealth and patient outreach for awareness of epilepsy care resources within VHA. Meanwhile, data acquired by the algorithm over the decade since its development (FY 2014 to FY 2023) contributed to more accurate epidemiologic information and identification of historic trends. Development of the algorithm represents one of the ways ECoEs have led to improved care for VWEs. ECoEs have been shown to improve health care for veterans in several metrics.15

A strength of this study is the rigorous multitiered validation process to confirm the diagnostic accuracy of ICD-10 codes against the gold standard ILAE definition of epilepsy to identify “definite” epilepsy cases within the VHA. The use of specific ICD codes further enhances the precision of epilepsy diagnoses. The inclusion of ASMs, which are sometimes prescribed for conditions other than epilepsy, could potentially inflate false positive rates.16

This study focused exclusively on the identification and validation of definite epilepsy cases within the VHA VSSC database, employing more stringent diagnostic criteria to ensure the highest level of certainty in ascertaining epilepsy. It is important to note there is a separate category of probable epilepsy, which involves a broader set of diagnostic criteria. While not covered in this study, probable epilepsy would be subject to future research and validation, which could provide insights into a wider spectrum of epilepsy diagnoses. Such future research could help refine the algorithm’s applicability and accuracy and potentially lead to more comprehensive surveillance and management strategies in clinical practice.

This study highlights the inherent challenges in leveraging administrative data for disease identification, particularly for conditions such as epilepsy, where diagnostic clarity can be complex. However, other conditions such as multiple sclerosis have noted similar success with the use of VHA administrative data for categorizing disease.17

Limitations

The algorithm discussed in this article is, in and of itself, generalizable. However, the validation process was unique to the VHA patient population, limiting the generalizability of the findings. Documentation practices and HCP attitudes within the VHA may differ from those in other health care settings. Identifying people with epilepsy can be challenging because of changing definitions of epilepsy over time. In addition to clinical evaluation, EEG and magnetic resonance imaging results, response to ASM treatment, and video-EEG monitoring of habitual events all can help establish the diagnosis. Therefore, studies may vary in how inclusive or exclusive the criteria are. ASMs such as gabapentin, pregabalin, carbamazepine, lamotrigine, topiramate, and valproate are used to treat other conditions, including headaches, generalized pain, and mood disorders. Consequently, including these ASMs in the Tier 1 definition may have increased the false positive rate. Additional research is needed to evaluate whether excluding these ASMs from the algorithm based on specific criteria (eg, dose of ASM used) can further refine the algorithm to identify patients with epilepsy.

Further refinement of this algorithm may also occur as technology changes. Future electronic health records may allow better tracking of different epilepsy factors, the integration of additional diagnostic criteria, and the use of natural language processing or other forms of artificial intelligence.

Conclusions

This study presents a significant step forward in epilepsy surveillance within the VHA. The algorithm offers a robust tool for identifying VWEs with good PPVs, facilitating better resource allocation and targeted care. Despite its limitations, this research lays a foundation for future advancements in the management and understanding of epilepsy within large health care systems. Since this VHA algorithm is based on ASMs and ICD diagnosis codes from patient records, other large managed health care systems also may be able to adapt this algorithm to their data specifications.

FDP04301022_A1

FDP04301022_A2

References
  1. Kobau R, Luncheon C, Greenlund K. Active epilepsy prevalence among U.S. adults is 1.1% and differs by educational level-National Health Interview Survey, United States, 2021. Epilepsy Behav. 2023;142:109180. doi:10.1016/j.yebeh.2023.109180
  2. GBD 2017 US Neurological Disorders Collaborators, Feigin VL, Vos T, et al. Burden of neurological disorders across the US from 1990-2017: a global burden of disease study. JAMA Neurol. 2021;78:165-176. doi:10.1001/jamaneurol.2020.4152
  3. Moura LMVR, Karakis I, Zack MM, et al. Drivers of US health care spending for persons with seizures and/or epilepsies, 2010-2018. Epilepsia. 2022;63:2144-2154. doi:10.1111/epi.17305
  4. Institute of Medicine. Epilepsy Across the Spectrum: Promoting Health and Understanding. The National Academies Press; 2012. Accessed November 11, 2025. www.nap.edu/catalog/13379
  5. Mbizvo GK, Bennett KH, Schnier C, Simpson CR, Duncan SE, Chin RFM. The accuracy of using administrative healthcare data to identify epilepsy cases: A systematic review of validation studies. Epilepsia. 2020;61:1319-1335. doi:10.1111/epi.16547
  6. Montouris GD. How will primary care physicians, specialists, and managed care treat epilepsy in the new millennium? Neurology. 2000;55:S42-S44.
  7. US Department of Veterans Affairs. Veterans Health Administration: About VHA. Accessed November 11, 2025. https://www.va.gov/health/aboutvha.asp
  8. Veterans’ Mental Health and Other Care Improvements Act of 2008, S 2162, 110th Cong (2008). Accessed November 11, 2025. https://www.congress.gov/bill/110th-congress/senate-bill/2162
  9. Rehman R, Kelly PR, Husain AM, Tran TT. Characteristics of Veterans diagnosed with seizures within Veterans Health Administration. J Rehabil Res Dev. 2015;52(7):751-762. doi:10.1682/JRRD.2014.10.0241
  10. Holden EW, Grossman E, Nguyen HT, et al. Developing a computer algorithm to identify epilepsy cases in managed care organizations. Dis Manag. 2005;8:1-14. doi:10.1089/dis.2005.8.1
  11. Rehman R, Everhart A, Frontera AT, et al. Implementation of an established algorithm and modifications for the identification of epilepsy patients in the Veterans Health Administration. Epilepsy Res. 2016;127:284-290. doi:10.1016/j.eplepsyres.2016.09.012
  12. Fisher RS, Acevedo C, Arzimanoglou A, et al. ILAE official report: a practical clinical definition of epilepsy. Epilepsia. 2014;55:475-482. doi:10.1111/epi.12550
  13. Smith JR, Jones FJS, Fureman BE, et al. Accuracy of ICD-10-CM claims-based definitions for epilepsy and seizure type. Epilepsy Res. 2020;166:106414. doi:10.1016/j.eplepsyres.2020.106414
  14. Jetté N, Reid AY, Quan H, et al. How accurate is ICD coding for epilepsy? Epilepsia. 2010;51:62-69. doi:10.1111/j.1528-1167.2009.02201.x
  15. Kelly P, Chinta R, Privitera G. Do centers of excellence reduce health care costs? Evidence from the US Veterans Health Administration Centers for Epilepsy. Glob Bus Organ Excell. 2015;34:18-29.
  16. Haneef Z, Rehman R, Husain AM. Association between standardized mortality ratio and utilization of care in US veterans with drug-resistant epilepsy compared with all US veterans and the US general population. JAMA Neurol. 2022;79:879-887. doi:10.1001/jamaneurol.2022.2290
  17. Culpepper WJ, Marrie RA, Langer-Gould A, et al. Validation of an algorithm for identifying MS cases in administrative health claims datasets. Neurology. 2019;92:e1016-e1028 doi:10.1212/WNL.0000000000007043
References
  1. Kobau R, Luncheon C, Greenlund K. Active epilepsy prevalence among U.S. adults is 1.1% and differs by educational level-National Health Interview Survey, United States, 2021. Epilepsy Behav. 2023;142:109180. doi:10.1016/j.yebeh.2023.109180
  2. GBD 2017 US Neurological Disorders Collaborators, Feigin VL, Vos T, et al. Burden of neurological disorders across the US from 1990-2017: a global burden of disease study. JAMA Neurol. 2021;78:165-176. doi:10.1001/jamaneurol.2020.4152
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Federal Practitioner - 43(1)
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Federal Practitioner - 43(1)
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Development and Validation of an Administrative Algorithm to Identify Veterans With Epilepsy

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Development and Validation of an Administrative Algorithm to Identify Veterans With Epilepsy

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