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Provider Perceptions of Opioid Safety Measures in VHA Emergency Departments and Urgent Care Centers
The United States is facing an opioid crisis in which approximately 10 million people have misused opioids in the past year, and an estimated 2 million people have an opioid use disorder (OUD).1 Compared with the general population, veterans treated in the Veterans Health Administration (VHA) facilities are at nearly twice the risk for accidental opioid overdose.2 The implementation of opioid safety measures in VHA facilities across all care settings is a priority in addressing this public health crisis. Hence, VHA leadership is working to minimize veteran risk of fatal opioid overdoses and to increase veteran access to medication-assisted treatments (MAT) for OUD.3
Since the administration of our survey, the VHA has shifted to using the term medication for opioid use disorder (MOUD) instead of MAT for OUD. However, for consistency with the survey we distributed, we use MAT in this analysis.
Acute care settings represent an opportunity to offer appropriate opioid care and treatment options to patients at risk for OUD or opioid-related overdose. VHA facilities offer 2 outpatient acute care settings for emergent ambulatory care: emergency departments (EDs) and urgent care centers (UCCs). Annually, these settings see an estimated 2.5 million patients each year, making EDs and UCCs critical access points of OUD care for veterans. Partnering with key national VHA stakeholders from Pharmacy Benefits Management (PBM), the Office of Emergency Medicine, and Academic Detailing Services (ADS), we developed the Emergency Department Opioid Safety Initiative (ED OSI) aimed at implementing and evaluating opioid safety measures in VHA outpatient acute care settings.
The US Department of Veterans Affairs (VA)/Department of Defense (DoD) Clinical Practice Guidelines for Opioid Therapy for Chronic Pain (CPG) makes recommendations for the initiation and continuation of opioids, risk mitigation, taper of opioids, and opioid therapy for acute pain in VHA facilities.4 Using these recommendations, we developed the broad aims of the ED OSI quality improvement (QI) program. The CPG is clear about the prioritization of safe opioid prescribing practices. New opioid prescriptions written in the ED have been associated with continued and chronic opioid use.5 At the time of prescription, patients not currently and chronically on opioids who receive more than a 3-day supply are at increased risk of becoming long-term opioid users.6 Given the annual volume of patients seen, VHA ED/UCCs are a crucial area for implementing better opioid prescribing practices.
The CPG also includes recommendations for the prescribing or coprescribing of naloxone rescue kits. The administration of naloxone following opioid overdose has been found to be an effective measure against fatal overdose. Increasing provider awareness of common risk factors for opioid-related overdose (eg, frequent ED visits or hospitalizations) helps facilitate a discussion on naloxone prescribing at discharge. Prior studies provide evidence that naloxone distribution and accompanying education also are effective in reducing opioid overdose mortalityand ED visits related to adverse opioid-related events.7,8
Similarly, the guidelines provide recommendations for the use of MAT for veterans with OUD. MAT for OUD is considered a first-line treatment option for patients with moderate-to-severe OUD. When used to treat patients with unsafe opioid use, this treatment helps alleviate symptoms of withdrawal, which can increase opioid taper adherence and has a protective effect against opioid overdose mortality.9 MAT initiated in the ED can increase patient engagement to addiction services.10
These 3 CPG recommendations serve as the basis for the broad goals of the ED OSI program. We aim to develop, implement, and evaluate programs and initiatives to (aim 1) reduce inappropriate opioid prescribing from VHA EDs; (aim 2) increase naloxone distribution from VHA EDs; and (aim 3) increase access to MAT initiation from VHA EDs through the implementation of ED-based MAT-initiation programs with EDs across the VHA. Aim 1 was a focused and strategic QI effort to implement an ED-based program to reduce inappropriate opioid prescribing. The ED OSI prescribing program offered a 4-step bundled approach: (1) sharing of opioid prescribing dashboard data with ED medical director and academic detailer; (2) education of ED providers and implementation of toolkit resources; (3) academic detailers conduct audit and feedback session(s) with highest prescribers; and (4) quarterly reports of opioid prescribing data to ED providers.
Results from the pilot suggested that our program was associated with accelerating the rate at which ED prescribing rates decreased.11 In addition, the pilot found that ED-based QI initiatives in VHA facilities are a feasible practice. As we work to develop and implement the next 2 phases of the QI program, a major consideration is to identify facilitators and address any existing barriers to the implementation of naloxone distribution (aim 2) and MAT-initiation (aim 3) programs for treatment-naïve patients from VHA EDs. To date, there have been no recent published studies examining the barriers and facilitators to use or implementation of MAT initiation or naloxone distribution in VHA facilities or, more specifically, from VHA EDs.12 As part of our QI program, we set out to better understand VHA ED provider perceptions of barriers and facilitators to implementation of programs aimed at increasing naloxone distribution and initiation of MAT for treatment-naïve patients in the ED.
Methods
This project received a QI designation from the Office of PBM Academic Detailing Service Institutional Review Board at the Edward Hines, Jr. Veterans Affairs Hospital VA Medical Center (VAMC). This designation was reviewed and approved by the Rocky Mountain Regional VAMC Research and Development service. In addition, we received national union approval to disseminate this survey nationally across all VA Integrated Service Networks (VISNs).
Survey
We worked with VHA subject matter experts, key stakeholders, and the VA Collaborative Evaluation Center (VACE) to develop the survey. Subject matter experts and stakeholders included VHA emergency medicine leadership, ADS leadership, and mental health and substance treatment providers. VACE is an interdisciplinary group of mixed-method researchers. The survey questions aimed to capture perceptions and experiences regarding naloxone distribution and new MAT initiation of VHA ED/UCC providers.
We used a variety of survey question formats. Close-ended questions with a predefined list of answer options were used to capture discrete domains, such as demographic information, comfort level, and experience level. To capture health care provider (HCP) perceptions on barriers and facilitators, we used multiple-answer multiple-choice questions. Built into this question format was a free-response option, which allowed respondents to offer additional barriers or facilitators. Respondents also had the option of not answering individual questions.
We identified physicians, nurse practitioners (NPs), and physician assistants (PAs) who saw at least 100 patients in the ED or UCC in at least one 3-month period in the prior year and obtained an email address for each. In total, 2228 ED or UCC providers across 132 facilities were emailed a survey; 1883 (84.5%) were ED providers and 345 (15.5%) were UCC providers.
We used Research Electronic Data Capture (REDCap) software to build and disseminate the survey via email. Surveys were initially disseminated in late January 2019. During the 3-month survey period, recipients received 3 automated email reminders from REDCap to complete the survey. Survey data were exported from REDCap. Results were analyzed using descriptive statistics analyses with Microsoft Excel.
Results
One respondent received the survey in error and was excluded from the analysis. The survey response rate was 16.7%: 372 responses from 103 unique facilities. Each VISN had a mean 20 respondents. The majority of respondents (n = 286, 76.9%) worked in highly complex level 1 facilities characterized by high patient volume and more high-risk patients and were teaching and research facilities. Respondents were asked to describe their most recent ED or UCC role. While 281 respondents (75.5%) were medical doctors, 61 respondents (16.4%) were NPs, 30 (8.1%) were PAs, and 26 (7.0%) were ED/UCC chiefs or medical directors (Table 1). Most respondents (80.4%) reported at least 10 years of health care experience.
The majority of respondents (72.9%) believed that HCPs at their VHA facility should be prescribing naloxone. When asked to specify which HCPs should be prescribing naloxone, most HCP respondents selected pharmacists (76.4%) and substance abuse providers (71.6%). Less than half of respondents (45.0%) felt that VA ED/UCC providers also should be prescribing naloxone. However, 58.1% of most HCP respondents reported being comfortable or very comfortable with prescribing naloxone to a patient in the ED or UCC who already had an existing prescription of opioids. Similarly, 52.7% of respondents reported being comfortable or very comfortable with coprescribing naloxone when discharging a patient with an opioid prescription from the ED/UCC. Notably, while 36.7% of PAs reported being comfortable/very comfortable coprescribing naloxone, 46.7% reported being comfortable/very comfortable prescribing naloxone to a patient with an existing opioid prescription. Physicians and NPs expressed similar levels of comfort with coprescribing and prescribing naloxone.
Respondents across provider types indicated a number of barriers to prescribing naloxone to medically appropriate patients (Table 2). Many respondents indicated prescribing naloxone was beyond the ED/UCC provider scope of practice (35.2%), followed by the perceived stigma associated with naloxone (33.3%), time required to prescribe naloxone (23.9%), and concern with patient’s ability to use naloxone (22.8%).
Facilitators for prescribing naloxone to medically appropriate patients identified by HCP respondents included pharmacist help and education (44.6%), patient knowledge of medication options (31.7%), societal shift away from opioids for pain management (28.0%), facility leadership (26.9%), and patient interest in safe opioid usage (26.6%) (Table 3). In addition, NPs specifically endorsed
Less than 6.8% of HCP respondents indicated that they were comfortable using MAT. Meanwhile, 42.1% of respondents reported being aware of MAT but not familiar with it, and 23.5% reported that they were unaware of MAT. Correspondingly, 301 of the 372 (88.5%) HCP respondents indicated that they had not prescribed MAT in the past year. Across HCP types, only 24.1% indicated that it is the role of VA ED or UCC providers to prescribe MAT when medically appropriate and subsequently refer patients to substance abuse treatment for follow-up (just 7.1% of PAs endorsed this). Furthermore, 6.5% and 18.8% of HCP respondents indicated that their facility leadership was very supportive and supportive, respectively, of MAT for OUD prescribing.
Barriers to MAT initiation indicated by HCP respondents included limited scope of ED and UCC practice (53.2%), unclear follow-up/referral process (50.3%), time (29.8%), and discomfort (28.2%). Nearly one-third of NPs (27.9%) identified patient willingness/ability as a barrier to MAT initiation (Table 4).
Facilitators of MAT initiation in the ED or UCC included VHA same-day treatment options (34.9%), patient desire (32.5%), pharmacist help/education (27.4%), and psychiatric social workers in the ED or UCC (25.3%). Some NPs (23.0%) and PAs (26.7%) also indicated that having time to educate veterans about the medication would be a facilitator (Table 5). Facility leadership support was considered a facilitator by 30% of PAs.
Discussion
To the best of our knowledge, there have not been any studies examining HCP perceptions of the barriers and facilitators to naloxone distribution or the initiation of MAT in VHA ED and UCCs. Veterans are at an increased risk of overdose when compared with the general population, and increasing access to opioid safety measures (eg, safer prescribing practices, naloxone distribution) and treatment with MAT for OUD across all clinical settings has been a VHA priority.3
National guidance from VHA leadership, the Centers for Disease Control and Prevention (CDC), the US Surgeon General, and the US Department of Health and Human Services (HHS) call for an all-hands-on-deck approach to combatting opioid overdose with naloxone distribution or MAT (such as buprenorphine) initiation.13 VHA ED and UCC settings provide acute outpatient care to patients with medical or psychiatric illnesses or injuries that the patient believes requires emergent or immediate medical attention or for which there is a critical need for treatment to prevent deterioration of the condition or the possible impairment of recovery.14 However, ED and UCC environments are often regarded as settings meant to stabilize a patient until they can be seen by a primary care or long-term care provider.
A major barrier identified by HCPs was that MAT for OUD was outside their ED/UCC scope of practice, which suggests a need for a top-down or peer-to-peer reexamination of the role of HCPs in ED/UCC settings. Any naloxone distribution and/or MAT-initiation program in VHA ED/UCCs should consider education about the role of ED/UCC HCPs in opioid safety and treatment.
Only 25.3% of HCPs reported that their facility leadership was supportive or very supportive of MAT prescribing. This suggests that facility leadership should be engaged in any efforts to implement a MAT-initiation program in the facility’s ED. Engaging leadership in efforts to implement ED-based MAT programs will allow for a better understanding of leadership goals as related to opioid safety and an opportunity to address concerns regarding prescribing MAT in the ED. We recommend engaging facility leadership early in MAT implementation efforts. Respectively, 12.4% and 28.2% of HCP respondents reported discomfort prescribing naloxone or using MAT, suggesting a need for more education. Similarly, only 6.8% of HCPs reported comfort with using MAT.
A consideration for implementing ED/UCC-based MAT should be the inclusion of a training component. An evidence-based clinical treatment pathway that is appropriate to the ED/UCC setting and facility on the administration of MAT also could be beneficial. A clinical treatment pathway that includes ED/UCC-initiated discharge recommendations would address HCP concerns of unclear follow-up plans and system for referral of care. To this end, a key implementation task is coordinating with other outpatient services (eg, pain management clinic, substance use disorder treatment clinic) equipped for long-term patient follow-up to develop a system for referral of care. For example, as part of the clinical treatment pathway, an ED can develop a system of referral for patients initiated on MAT in the ED in which patients are referred for follow-up at the facility’s substance use disorder treatment clinic to be seen within 72 hours to continue the administration of MAT (such as buprenorphine).
In addition to HCP education, results suggest that patient/veteran education regarding naloxone and/or MAT should be considered. HCPs indicated that having help from a pharmacist to educate the patient about the medications would be a facilitator to naloxone distribution and MAT initiation. Similarly, patient knowledge of the medications also was endorsed as a facilitator. As such, a consideration for any future ED/UCC-based naloxone distribution or MAT-initiation programs in the VHA should be patient education whether by a clinically trained professional or an educational campaign for veterans.
Expanded naloxone distribution and initiation of MAT for OUD for EDs/UCCs across the VHA could impact the lives of veterans on long-term opioid therapy, with OUD, or who are otherwise at risk for opioid overdose. Steps taken to address the barriers and leverage the facilitators identified by HCP respondents can greatly reduce current obstacles to widespread implementation of ED/UCC-based naloxone distribution and MAT initiation nationally within the VHA.
Limitations
This survey had a low response rate (16.7%). One potential explanation for the low response rate is that when the survey was deployed, many of the VHA ED/UCC physicians were per-diem employees. Per-diem physicians may be less engaged and aware of site facilitators or barriers to naloxone and MAT prescribing. This, too, may have potentially skewed the collected data. However, the survey did not ask HCPs to disclose their employment status; thus, exact rates of per diem respondents are unknown.
We aimed to capture only self-perceived barriers to prescribing naloxone and MAT in the ED, but we did not capture or measure HCP respondent’s actual prescribing rates of MAT or naloxone. Understanding HCP perceptions of naloxone distribution and MAT initiation in the ED may have been further informed by comparing HCP responses to their actual clinical practice as related to their prescribing of these medications. In future research, we will link HCPs with the actual numbers of naloxone and MAT medications prescribed. Additionally, we do not know how many of these barriers or proposed facilitators will impact clinical practice.
Conclusions
A key aim for VHA leadership is to increase veteran access to naloxone distribution and MAT for OUD across clinical areas. The present study aimed to identify HCP perceptions of barriers and facilitators to the naloxone distribution and MAT-initiation programs in VHA ED/UCCs to inform the development of a targeted QI program to implement these opioid safety measures. Although the survey yielded a low response rate, results allowed us to identify important action items for our QI program, such as the development of clear protocols, follow-up plans, and systems for referral of care and HCP educational materials related to MAT and naloxone. We hope this work will serve as the basis for ED/UCC-tailored programs that can provide customized educational programs for HCPs designed to overcome known barriers to naloxone and MAT initiation.
Acknowledgments
This work was supported by the VA Office of Specialty Care Services 10P11 and through funding provided by the Comprehensive Addiction and Recovery Act (CARA).
1. Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the united states: results from the 2018 National Survey on Drug Use and Health. Published August 2019. Accessed August 20, 2021. https://www.samhsa.gov/data/sites/default/files/cbhsq-reports/NSDUHNationalFindingsReport2018/NSDUHNationalFindingsReport2018.pdf
2. Bohnert AS, Ilgen MA, Galea S, McCarthy JF, Blow FC. Accidental poisoning mortality among patients in the Department of Veterans Affairs Health System. Med Care. 2011;49(4):393-396. doi:10.1097/MLR.0b013e318202aa27
3. US Department of Veterans Affairs, Pharmacy Benefits Management Service. Recommendations for issuing naloxone rescue for the VA opioid overdose education and naloxone distribution (OEND) program. Published August 2016. Accessed August 20, 2021. https://www.pbm.va.gov/PBM/clinicalguidance/clinicalrecommendations/Naloxone_HCl_Rescue_Kits_Recommendations_for_Use.pdf
4. US Department of Defense, US Department of Veterans Affairs, Opioid Therapy for Chronic Pain Work Group. VA/DoD clinical practice guideline for opioid therapy for chronic pain. Published February 2017. Accessed August 20, 2021. https://www.va.gov/HOMELESS/nchav/resources/docs/mental-health/substance-abuse/VA_DoD-CLINICAL-PRACTICE-GUIDELINE-FOR-OPIOID-THERAPY-FOR-CHRONIC-PAIN-508.pdf
5. Barnett ML, Olenski AR, Jena AB. Opioid-prescribing patterns of emergency physicians and risk of long-term use. N Engl J Med. 2017;376(7):663-673. doi:10.1056/NEJMsa1610524
6. Shah A, Hayes CJ, Martin BC. Characteristics of initial prescription episodes and likelihood of long-term opioid use - United States, 2006-2015. MMWR Morb Mortal Wkly Rep. 2017;66(10):265-269. Published 2017 Mar 17. doi:10.15585/mmwr.mm6610a1
7. Clark AK, Wilder CM, Winstanley EL. A systematic review of community opioid overdose prevention and naloxone distribution programs. J Addict Med. 2014;8(3):153-163. doi:10.1097/ADM.0000000000000034
8. Coffin PO, Behar E, Rowe C, et al. Nonrandomized intervention study of naloxone coprescription for primary care patients receiving long-term opioid therapy for Pain. Ann Intern Med. 2016;165(4):245-252. doi:10.7326/M15-2771
9. Ma J, Bao YP, Wang RJ, et al. Effects of medication-assisted treatment on mortality among opioids users: a systematic review and meta-analysis. Mol Psychiatry. 2019;24(12):1868-1883. doi:10.1038/s41380-018-0094-5
10. D’Onofrio G, O’Connor PG, Pantalon MV, et al. Emergency department-initiated buprenorphine/naloxone treatment for opioid dependence: a randomized clinical trial. JAMA. 2015;313(16):1636-1644. doi:10.1001/jama.2015.3474
11. Dieujuste N, Johnson-Koenke R, Christopher M, et al. Feasibility study of a quasi-experimental regional opioid safety prescribing program in Veterans Health Administration emergency departments. Acad Emerg Med. 2020;27(8):734-741. doi:10.1111/acem.13980
12. Mackey K, Veazie S, Anderson J, Bourne D, Peterson K. Evidence brief: barriers and facilitators to use of medications for opioid use disorder. Published July 2017. Accessed August 20, 2021. http://www.ncbi.nlm.nih.gov/books/NBK549203/
13. US Department of Health and Human Services, Office of the Surgeon General. Naloxone: the opioid reversal drug that saves lives. Published December 2018. Accessed August 20, 2021. https://www.hhs.gov/opioids/sites/default/files/2018-12/naloxone-coprescribing-guidance.pdf
14. US Department of Veterans Affairs, Veterans Health Administration. Chapter 256: Emergency department (ED) and urgent care clinic (UCC). Updated October 3, 2016. Accessed August 20, 2021. https://www.cfm.va.gov/til/space/spChapter256.pdf.
The United States is facing an opioid crisis in which approximately 10 million people have misused opioids in the past year, and an estimated 2 million people have an opioid use disorder (OUD).1 Compared with the general population, veterans treated in the Veterans Health Administration (VHA) facilities are at nearly twice the risk for accidental opioid overdose.2 The implementation of opioid safety measures in VHA facilities across all care settings is a priority in addressing this public health crisis. Hence, VHA leadership is working to minimize veteran risk of fatal opioid overdoses and to increase veteran access to medication-assisted treatments (MAT) for OUD.3
Since the administration of our survey, the VHA has shifted to using the term medication for opioid use disorder (MOUD) instead of MAT for OUD. However, for consistency with the survey we distributed, we use MAT in this analysis.
Acute care settings represent an opportunity to offer appropriate opioid care and treatment options to patients at risk for OUD or opioid-related overdose. VHA facilities offer 2 outpatient acute care settings for emergent ambulatory care: emergency departments (EDs) and urgent care centers (UCCs). Annually, these settings see an estimated 2.5 million patients each year, making EDs and UCCs critical access points of OUD care for veterans. Partnering with key national VHA stakeholders from Pharmacy Benefits Management (PBM), the Office of Emergency Medicine, and Academic Detailing Services (ADS), we developed the Emergency Department Opioid Safety Initiative (ED OSI) aimed at implementing and evaluating opioid safety measures in VHA outpatient acute care settings.
The US Department of Veterans Affairs (VA)/Department of Defense (DoD) Clinical Practice Guidelines for Opioid Therapy for Chronic Pain (CPG) makes recommendations for the initiation and continuation of opioids, risk mitigation, taper of opioids, and opioid therapy for acute pain in VHA facilities.4 Using these recommendations, we developed the broad aims of the ED OSI quality improvement (QI) program. The CPG is clear about the prioritization of safe opioid prescribing practices. New opioid prescriptions written in the ED have been associated with continued and chronic opioid use.5 At the time of prescription, patients not currently and chronically on opioids who receive more than a 3-day supply are at increased risk of becoming long-term opioid users.6 Given the annual volume of patients seen, VHA ED/UCCs are a crucial area for implementing better opioid prescribing practices.
The CPG also includes recommendations for the prescribing or coprescribing of naloxone rescue kits. The administration of naloxone following opioid overdose has been found to be an effective measure against fatal overdose. Increasing provider awareness of common risk factors for opioid-related overdose (eg, frequent ED visits or hospitalizations) helps facilitate a discussion on naloxone prescribing at discharge. Prior studies provide evidence that naloxone distribution and accompanying education also are effective in reducing opioid overdose mortalityand ED visits related to adverse opioid-related events.7,8
Similarly, the guidelines provide recommendations for the use of MAT for veterans with OUD. MAT for OUD is considered a first-line treatment option for patients with moderate-to-severe OUD. When used to treat patients with unsafe opioid use, this treatment helps alleviate symptoms of withdrawal, which can increase opioid taper adherence and has a protective effect against opioid overdose mortality.9 MAT initiated in the ED can increase patient engagement to addiction services.10
These 3 CPG recommendations serve as the basis for the broad goals of the ED OSI program. We aim to develop, implement, and evaluate programs and initiatives to (aim 1) reduce inappropriate opioid prescribing from VHA EDs; (aim 2) increase naloxone distribution from VHA EDs; and (aim 3) increase access to MAT initiation from VHA EDs through the implementation of ED-based MAT-initiation programs with EDs across the VHA. Aim 1 was a focused and strategic QI effort to implement an ED-based program to reduce inappropriate opioid prescribing. The ED OSI prescribing program offered a 4-step bundled approach: (1) sharing of opioid prescribing dashboard data with ED medical director and academic detailer; (2) education of ED providers and implementation of toolkit resources; (3) academic detailers conduct audit and feedback session(s) with highest prescribers; and (4) quarterly reports of opioid prescribing data to ED providers.
Results from the pilot suggested that our program was associated with accelerating the rate at which ED prescribing rates decreased.11 In addition, the pilot found that ED-based QI initiatives in VHA facilities are a feasible practice. As we work to develop and implement the next 2 phases of the QI program, a major consideration is to identify facilitators and address any existing barriers to the implementation of naloxone distribution (aim 2) and MAT-initiation (aim 3) programs for treatment-naïve patients from VHA EDs. To date, there have been no recent published studies examining the barriers and facilitators to use or implementation of MAT initiation or naloxone distribution in VHA facilities or, more specifically, from VHA EDs.12 As part of our QI program, we set out to better understand VHA ED provider perceptions of barriers and facilitators to implementation of programs aimed at increasing naloxone distribution and initiation of MAT for treatment-naïve patients in the ED.
Methods
This project received a QI designation from the Office of PBM Academic Detailing Service Institutional Review Board at the Edward Hines, Jr. Veterans Affairs Hospital VA Medical Center (VAMC). This designation was reviewed and approved by the Rocky Mountain Regional VAMC Research and Development service. In addition, we received national union approval to disseminate this survey nationally across all VA Integrated Service Networks (VISNs).
Survey
We worked with VHA subject matter experts, key stakeholders, and the VA Collaborative Evaluation Center (VACE) to develop the survey. Subject matter experts and stakeholders included VHA emergency medicine leadership, ADS leadership, and mental health and substance treatment providers. VACE is an interdisciplinary group of mixed-method researchers. The survey questions aimed to capture perceptions and experiences regarding naloxone distribution and new MAT initiation of VHA ED/UCC providers.
We used a variety of survey question formats. Close-ended questions with a predefined list of answer options were used to capture discrete domains, such as demographic information, comfort level, and experience level. To capture health care provider (HCP) perceptions on barriers and facilitators, we used multiple-answer multiple-choice questions. Built into this question format was a free-response option, which allowed respondents to offer additional barriers or facilitators. Respondents also had the option of not answering individual questions.
We identified physicians, nurse practitioners (NPs), and physician assistants (PAs) who saw at least 100 patients in the ED or UCC in at least one 3-month period in the prior year and obtained an email address for each. In total, 2228 ED or UCC providers across 132 facilities were emailed a survey; 1883 (84.5%) were ED providers and 345 (15.5%) were UCC providers.
We used Research Electronic Data Capture (REDCap) software to build and disseminate the survey via email. Surveys were initially disseminated in late January 2019. During the 3-month survey period, recipients received 3 automated email reminders from REDCap to complete the survey. Survey data were exported from REDCap. Results were analyzed using descriptive statistics analyses with Microsoft Excel.
Results
One respondent received the survey in error and was excluded from the analysis. The survey response rate was 16.7%: 372 responses from 103 unique facilities. Each VISN had a mean 20 respondents. The majority of respondents (n = 286, 76.9%) worked in highly complex level 1 facilities characterized by high patient volume and more high-risk patients and were teaching and research facilities. Respondents were asked to describe their most recent ED or UCC role. While 281 respondents (75.5%) were medical doctors, 61 respondents (16.4%) were NPs, 30 (8.1%) were PAs, and 26 (7.0%) were ED/UCC chiefs or medical directors (Table 1). Most respondents (80.4%) reported at least 10 years of health care experience.
The majority of respondents (72.9%) believed that HCPs at their VHA facility should be prescribing naloxone. When asked to specify which HCPs should be prescribing naloxone, most HCP respondents selected pharmacists (76.4%) and substance abuse providers (71.6%). Less than half of respondents (45.0%) felt that VA ED/UCC providers also should be prescribing naloxone. However, 58.1% of most HCP respondents reported being comfortable or very comfortable with prescribing naloxone to a patient in the ED or UCC who already had an existing prescription of opioids. Similarly, 52.7% of respondents reported being comfortable or very comfortable with coprescribing naloxone when discharging a patient with an opioid prescription from the ED/UCC. Notably, while 36.7% of PAs reported being comfortable/very comfortable coprescribing naloxone, 46.7% reported being comfortable/very comfortable prescribing naloxone to a patient with an existing opioid prescription. Physicians and NPs expressed similar levels of comfort with coprescribing and prescribing naloxone.
Respondents across provider types indicated a number of barriers to prescribing naloxone to medically appropriate patients (Table 2). Many respondents indicated prescribing naloxone was beyond the ED/UCC provider scope of practice (35.2%), followed by the perceived stigma associated with naloxone (33.3%), time required to prescribe naloxone (23.9%), and concern with patient’s ability to use naloxone (22.8%).
Facilitators for prescribing naloxone to medically appropriate patients identified by HCP respondents included pharmacist help and education (44.6%), patient knowledge of medication options (31.7%), societal shift away from opioids for pain management (28.0%), facility leadership (26.9%), and patient interest in safe opioid usage (26.6%) (Table 3). In addition, NPs specifically endorsed
Less than 6.8% of HCP respondents indicated that they were comfortable using MAT. Meanwhile, 42.1% of respondents reported being aware of MAT but not familiar with it, and 23.5% reported that they were unaware of MAT. Correspondingly, 301 of the 372 (88.5%) HCP respondents indicated that they had not prescribed MAT in the past year. Across HCP types, only 24.1% indicated that it is the role of VA ED or UCC providers to prescribe MAT when medically appropriate and subsequently refer patients to substance abuse treatment for follow-up (just 7.1% of PAs endorsed this). Furthermore, 6.5% and 18.8% of HCP respondents indicated that their facility leadership was very supportive and supportive, respectively, of MAT for OUD prescribing.
Barriers to MAT initiation indicated by HCP respondents included limited scope of ED and UCC practice (53.2%), unclear follow-up/referral process (50.3%), time (29.8%), and discomfort (28.2%). Nearly one-third of NPs (27.9%) identified patient willingness/ability as a barrier to MAT initiation (Table 4).
Facilitators of MAT initiation in the ED or UCC included VHA same-day treatment options (34.9%), patient desire (32.5%), pharmacist help/education (27.4%), and psychiatric social workers in the ED or UCC (25.3%). Some NPs (23.0%) and PAs (26.7%) also indicated that having time to educate veterans about the medication would be a facilitator (Table 5). Facility leadership support was considered a facilitator by 30% of PAs.
Discussion
To the best of our knowledge, there have not been any studies examining HCP perceptions of the barriers and facilitators to naloxone distribution or the initiation of MAT in VHA ED and UCCs. Veterans are at an increased risk of overdose when compared with the general population, and increasing access to opioid safety measures (eg, safer prescribing practices, naloxone distribution) and treatment with MAT for OUD across all clinical settings has been a VHA priority.3
National guidance from VHA leadership, the Centers for Disease Control and Prevention (CDC), the US Surgeon General, and the US Department of Health and Human Services (HHS) call for an all-hands-on-deck approach to combatting opioid overdose with naloxone distribution or MAT (such as buprenorphine) initiation.13 VHA ED and UCC settings provide acute outpatient care to patients with medical or psychiatric illnesses or injuries that the patient believes requires emergent or immediate medical attention or for which there is a critical need for treatment to prevent deterioration of the condition or the possible impairment of recovery.14 However, ED and UCC environments are often regarded as settings meant to stabilize a patient until they can be seen by a primary care or long-term care provider.
A major barrier identified by HCPs was that MAT for OUD was outside their ED/UCC scope of practice, which suggests a need for a top-down or peer-to-peer reexamination of the role of HCPs in ED/UCC settings. Any naloxone distribution and/or MAT-initiation program in VHA ED/UCCs should consider education about the role of ED/UCC HCPs in opioid safety and treatment.
Only 25.3% of HCPs reported that their facility leadership was supportive or very supportive of MAT prescribing. This suggests that facility leadership should be engaged in any efforts to implement a MAT-initiation program in the facility’s ED. Engaging leadership in efforts to implement ED-based MAT programs will allow for a better understanding of leadership goals as related to opioid safety and an opportunity to address concerns regarding prescribing MAT in the ED. We recommend engaging facility leadership early in MAT implementation efforts. Respectively, 12.4% and 28.2% of HCP respondents reported discomfort prescribing naloxone or using MAT, suggesting a need for more education. Similarly, only 6.8% of HCPs reported comfort with using MAT.
A consideration for implementing ED/UCC-based MAT should be the inclusion of a training component. An evidence-based clinical treatment pathway that is appropriate to the ED/UCC setting and facility on the administration of MAT also could be beneficial. A clinical treatment pathway that includes ED/UCC-initiated discharge recommendations would address HCP concerns of unclear follow-up plans and system for referral of care. To this end, a key implementation task is coordinating with other outpatient services (eg, pain management clinic, substance use disorder treatment clinic) equipped for long-term patient follow-up to develop a system for referral of care. For example, as part of the clinical treatment pathway, an ED can develop a system of referral for patients initiated on MAT in the ED in which patients are referred for follow-up at the facility’s substance use disorder treatment clinic to be seen within 72 hours to continue the administration of MAT (such as buprenorphine).
In addition to HCP education, results suggest that patient/veteran education regarding naloxone and/or MAT should be considered. HCPs indicated that having help from a pharmacist to educate the patient about the medications would be a facilitator to naloxone distribution and MAT initiation. Similarly, patient knowledge of the medications also was endorsed as a facilitator. As such, a consideration for any future ED/UCC-based naloxone distribution or MAT-initiation programs in the VHA should be patient education whether by a clinically trained professional or an educational campaign for veterans.
Expanded naloxone distribution and initiation of MAT for OUD for EDs/UCCs across the VHA could impact the lives of veterans on long-term opioid therapy, with OUD, or who are otherwise at risk for opioid overdose. Steps taken to address the barriers and leverage the facilitators identified by HCP respondents can greatly reduce current obstacles to widespread implementation of ED/UCC-based naloxone distribution and MAT initiation nationally within the VHA.
Limitations
This survey had a low response rate (16.7%). One potential explanation for the low response rate is that when the survey was deployed, many of the VHA ED/UCC physicians were per-diem employees. Per-diem physicians may be less engaged and aware of site facilitators or barriers to naloxone and MAT prescribing. This, too, may have potentially skewed the collected data. However, the survey did not ask HCPs to disclose their employment status; thus, exact rates of per diem respondents are unknown.
We aimed to capture only self-perceived barriers to prescribing naloxone and MAT in the ED, but we did not capture or measure HCP respondent’s actual prescribing rates of MAT or naloxone. Understanding HCP perceptions of naloxone distribution and MAT initiation in the ED may have been further informed by comparing HCP responses to their actual clinical practice as related to their prescribing of these medications. In future research, we will link HCPs with the actual numbers of naloxone and MAT medications prescribed. Additionally, we do not know how many of these barriers or proposed facilitators will impact clinical practice.
Conclusions
A key aim for VHA leadership is to increase veteran access to naloxone distribution and MAT for OUD across clinical areas. The present study aimed to identify HCP perceptions of barriers and facilitators to the naloxone distribution and MAT-initiation programs in VHA ED/UCCs to inform the development of a targeted QI program to implement these opioid safety measures. Although the survey yielded a low response rate, results allowed us to identify important action items for our QI program, such as the development of clear protocols, follow-up plans, and systems for referral of care and HCP educational materials related to MAT and naloxone. We hope this work will serve as the basis for ED/UCC-tailored programs that can provide customized educational programs for HCPs designed to overcome known barriers to naloxone and MAT initiation.
Acknowledgments
This work was supported by the VA Office of Specialty Care Services 10P11 and through funding provided by the Comprehensive Addiction and Recovery Act (CARA).
The United States is facing an opioid crisis in which approximately 10 million people have misused opioids in the past year, and an estimated 2 million people have an opioid use disorder (OUD).1 Compared with the general population, veterans treated in the Veterans Health Administration (VHA) facilities are at nearly twice the risk for accidental opioid overdose.2 The implementation of opioid safety measures in VHA facilities across all care settings is a priority in addressing this public health crisis. Hence, VHA leadership is working to minimize veteran risk of fatal opioid overdoses and to increase veteran access to medication-assisted treatments (MAT) for OUD.3
Since the administration of our survey, the VHA has shifted to using the term medication for opioid use disorder (MOUD) instead of MAT for OUD. However, for consistency with the survey we distributed, we use MAT in this analysis.
Acute care settings represent an opportunity to offer appropriate opioid care and treatment options to patients at risk for OUD or opioid-related overdose. VHA facilities offer 2 outpatient acute care settings for emergent ambulatory care: emergency departments (EDs) and urgent care centers (UCCs). Annually, these settings see an estimated 2.5 million patients each year, making EDs and UCCs critical access points of OUD care for veterans. Partnering with key national VHA stakeholders from Pharmacy Benefits Management (PBM), the Office of Emergency Medicine, and Academic Detailing Services (ADS), we developed the Emergency Department Opioid Safety Initiative (ED OSI) aimed at implementing and evaluating opioid safety measures in VHA outpatient acute care settings.
The US Department of Veterans Affairs (VA)/Department of Defense (DoD) Clinical Practice Guidelines for Opioid Therapy for Chronic Pain (CPG) makes recommendations for the initiation and continuation of opioids, risk mitigation, taper of opioids, and opioid therapy for acute pain in VHA facilities.4 Using these recommendations, we developed the broad aims of the ED OSI quality improvement (QI) program. The CPG is clear about the prioritization of safe opioid prescribing practices. New opioid prescriptions written in the ED have been associated with continued and chronic opioid use.5 At the time of prescription, patients not currently and chronically on opioids who receive more than a 3-day supply are at increased risk of becoming long-term opioid users.6 Given the annual volume of patients seen, VHA ED/UCCs are a crucial area for implementing better opioid prescribing practices.
The CPG also includes recommendations for the prescribing or coprescribing of naloxone rescue kits. The administration of naloxone following opioid overdose has been found to be an effective measure against fatal overdose. Increasing provider awareness of common risk factors for opioid-related overdose (eg, frequent ED visits or hospitalizations) helps facilitate a discussion on naloxone prescribing at discharge. Prior studies provide evidence that naloxone distribution and accompanying education also are effective in reducing opioid overdose mortalityand ED visits related to adverse opioid-related events.7,8
Similarly, the guidelines provide recommendations for the use of MAT for veterans with OUD. MAT for OUD is considered a first-line treatment option for patients with moderate-to-severe OUD. When used to treat patients with unsafe opioid use, this treatment helps alleviate symptoms of withdrawal, which can increase opioid taper adherence and has a protective effect against opioid overdose mortality.9 MAT initiated in the ED can increase patient engagement to addiction services.10
These 3 CPG recommendations serve as the basis for the broad goals of the ED OSI program. We aim to develop, implement, and evaluate programs and initiatives to (aim 1) reduce inappropriate opioid prescribing from VHA EDs; (aim 2) increase naloxone distribution from VHA EDs; and (aim 3) increase access to MAT initiation from VHA EDs through the implementation of ED-based MAT-initiation programs with EDs across the VHA. Aim 1 was a focused and strategic QI effort to implement an ED-based program to reduce inappropriate opioid prescribing. The ED OSI prescribing program offered a 4-step bundled approach: (1) sharing of opioid prescribing dashboard data with ED medical director and academic detailer; (2) education of ED providers and implementation of toolkit resources; (3) academic detailers conduct audit and feedback session(s) with highest prescribers; and (4) quarterly reports of opioid prescribing data to ED providers.
Results from the pilot suggested that our program was associated with accelerating the rate at which ED prescribing rates decreased.11 In addition, the pilot found that ED-based QI initiatives in VHA facilities are a feasible practice. As we work to develop and implement the next 2 phases of the QI program, a major consideration is to identify facilitators and address any existing barriers to the implementation of naloxone distribution (aim 2) and MAT-initiation (aim 3) programs for treatment-naïve patients from VHA EDs. To date, there have been no recent published studies examining the barriers and facilitators to use or implementation of MAT initiation or naloxone distribution in VHA facilities or, more specifically, from VHA EDs.12 As part of our QI program, we set out to better understand VHA ED provider perceptions of barriers and facilitators to implementation of programs aimed at increasing naloxone distribution and initiation of MAT for treatment-naïve patients in the ED.
Methods
This project received a QI designation from the Office of PBM Academic Detailing Service Institutional Review Board at the Edward Hines, Jr. Veterans Affairs Hospital VA Medical Center (VAMC). This designation was reviewed and approved by the Rocky Mountain Regional VAMC Research and Development service. In addition, we received national union approval to disseminate this survey nationally across all VA Integrated Service Networks (VISNs).
Survey
We worked with VHA subject matter experts, key stakeholders, and the VA Collaborative Evaluation Center (VACE) to develop the survey. Subject matter experts and stakeholders included VHA emergency medicine leadership, ADS leadership, and mental health and substance treatment providers. VACE is an interdisciplinary group of mixed-method researchers. The survey questions aimed to capture perceptions and experiences regarding naloxone distribution and new MAT initiation of VHA ED/UCC providers.
We used a variety of survey question formats. Close-ended questions with a predefined list of answer options were used to capture discrete domains, such as demographic information, comfort level, and experience level. To capture health care provider (HCP) perceptions on barriers and facilitators, we used multiple-answer multiple-choice questions. Built into this question format was a free-response option, which allowed respondents to offer additional barriers or facilitators. Respondents also had the option of not answering individual questions.
We identified physicians, nurse practitioners (NPs), and physician assistants (PAs) who saw at least 100 patients in the ED or UCC in at least one 3-month period in the prior year and obtained an email address for each. In total, 2228 ED or UCC providers across 132 facilities were emailed a survey; 1883 (84.5%) were ED providers and 345 (15.5%) were UCC providers.
We used Research Electronic Data Capture (REDCap) software to build and disseminate the survey via email. Surveys were initially disseminated in late January 2019. During the 3-month survey period, recipients received 3 automated email reminders from REDCap to complete the survey. Survey data were exported from REDCap. Results were analyzed using descriptive statistics analyses with Microsoft Excel.
Results
One respondent received the survey in error and was excluded from the analysis. The survey response rate was 16.7%: 372 responses from 103 unique facilities. Each VISN had a mean 20 respondents. The majority of respondents (n = 286, 76.9%) worked in highly complex level 1 facilities characterized by high patient volume and more high-risk patients and were teaching and research facilities. Respondents were asked to describe their most recent ED or UCC role. While 281 respondents (75.5%) were medical doctors, 61 respondents (16.4%) were NPs, 30 (8.1%) were PAs, and 26 (7.0%) were ED/UCC chiefs or medical directors (Table 1). Most respondents (80.4%) reported at least 10 years of health care experience.
The majority of respondents (72.9%) believed that HCPs at their VHA facility should be prescribing naloxone. When asked to specify which HCPs should be prescribing naloxone, most HCP respondents selected pharmacists (76.4%) and substance abuse providers (71.6%). Less than half of respondents (45.0%) felt that VA ED/UCC providers also should be prescribing naloxone. However, 58.1% of most HCP respondents reported being comfortable or very comfortable with prescribing naloxone to a patient in the ED or UCC who already had an existing prescription of opioids. Similarly, 52.7% of respondents reported being comfortable or very comfortable with coprescribing naloxone when discharging a patient with an opioid prescription from the ED/UCC. Notably, while 36.7% of PAs reported being comfortable/very comfortable coprescribing naloxone, 46.7% reported being comfortable/very comfortable prescribing naloxone to a patient with an existing opioid prescription. Physicians and NPs expressed similar levels of comfort with coprescribing and prescribing naloxone.
Respondents across provider types indicated a number of barriers to prescribing naloxone to medically appropriate patients (Table 2). Many respondents indicated prescribing naloxone was beyond the ED/UCC provider scope of practice (35.2%), followed by the perceived stigma associated with naloxone (33.3%), time required to prescribe naloxone (23.9%), and concern with patient’s ability to use naloxone (22.8%).
Facilitators for prescribing naloxone to medically appropriate patients identified by HCP respondents included pharmacist help and education (44.6%), patient knowledge of medication options (31.7%), societal shift away from opioids for pain management (28.0%), facility leadership (26.9%), and patient interest in safe opioid usage (26.6%) (Table 3). In addition, NPs specifically endorsed
Less than 6.8% of HCP respondents indicated that they were comfortable using MAT. Meanwhile, 42.1% of respondents reported being aware of MAT but not familiar with it, and 23.5% reported that they were unaware of MAT. Correspondingly, 301 of the 372 (88.5%) HCP respondents indicated that they had not prescribed MAT in the past year. Across HCP types, only 24.1% indicated that it is the role of VA ED or UCC providers to prescribe MAT when medically appropriate and subsequently refer patients to substance abuse treatment for follow-up (just 7.1% of PAs endorsed this). Furthermore, 6.5% and 18.8% of HCP respondents indicated that their facility leadership was very supportive and supportive, respectively, of MAT for OUD prescribing.
Barriers to MAT initiation indicated by HCP respondents included limited scope of ED and UCC practice (53.2%), unclear follow-up/referral process (50.3%), time (29.8%), and discomfort (28.2%). Nearly one-third of NPs (27.9%) identified patient willingness/ability as a barrier to MAT initiation (Table 4).
Facilitators of MAT initiation in the ED or UCC included VHA same-day treatment options (34.9%), patient desire (32.5%), pharmacist help/education (27.4%), and psychiatric social workers in the ED or UCC (25.3%). Some NPs (23.0%) and PAs (26.7%) also indicated that having time to educate veterans about the medication would be a facilitator (Table 5). Facility leadership support was considered a facilitator by 30% of PAs.
Discussion
To the best of our knowledge, there have not been any studies examining HCP perceptions of the barriers and facilitators to naloxone distribution or the initiation of MAT in VHA ED and UCCs. Veterans are at an increased risk of overdose when compared with the general population, and increasing access to opioid safety measures (eg, safer prescribing practices, naloxone distribution) and treatment with MAT for OUD across all clinical settings has been a VHA priority.3
National guidance from VHA leadership, the Centers for Disease Control and Prevention (CDC), the US Surgeon General, and the US Department of Health and Human Services (HHS) call for an all-hands-on-deck approach to combatting opioid overdose with naloxone distribution or MAT (such as buprenorphine) initiation.13 VHA ED and UCC settings provide acute outpatient care to patients with medical or psychiatric illnesses or injuries that the patient believes requires emergent or immediate medical attention or for which there is a critical need for treatment to prevent deterioration of the condition or the possible impairment of recovery.14 However, ED and UCC environments are often regarded as settings meant to stabilize a patient until they can be seen by a primary care or long-term care provider.
A major barrier identified by HCPs was that MAT for OUD was outside their ED/UCC scope of practice, which suggests a need for a top-down or peer-to-peer reexamination of the role of HCPs in ED/UCC settings. Any naloxone distribution and/or MAT-initiation program in VHA ED/UCCs should consider education about the role of ED/UCC HCPs in opioid safety and treatment.
Only 25.3% of HCPs reported that their facility leadership was supportive or very supportive of MAT prescribing. This suggests that facility leadership should be engaged in any efforts to implement a MAT-initiation program in the facility’s ED. Engaging leadership in efforts to implement ED-based MAT programs will allow for a better understanding of leadership goals as related to opioid safety and an opportunity to address concerns regarding prescribing MAT in the ED. We recommend engaging facility leadership early in MAT implementation efforts. Respectively, 12.4% and 28.2% of HCP respondents reported discomfort prescribing naloxone or using MAT, suggesting a need for more education. Similarly, only 6.8% of HCPs reported comfort with using MAT.
A consideration for implementing ED/UCC-based MAT should be the inclusion of a training component. An evidence-based clinical treatment pathway that is appropriate to the ED/UCC setting and facility on the administration of MAT also could be beneficial. A clinical treatment pathway that includes ED/UCC-initiated discharge recommendations would address HCP concerns of unclear follow-up plans and system for referral of care. To this end, a key implementation task is coordinating with other outpatient services (eg, pain management clinic, substance use disorder treatment clinic) equipped for long-term patient follow-up to develop a system for referral of care. For example, as part of the clinical treatment pathway, an ED can develop a system of referral for patients initiated on MAT in the ED in which patients are referred for follow-up at the facility’s substance use disorder treatment clinic to be seen within 72 hours to continue the administration of MAT (such as buprenorphine).
In addition to HCP education, results suggest that patient/veteran education regarding naloxone and/or MAT should be considered. HCPs indicated that having help from a pharmacist to educate the patient about the medications would be a facilitator to naloxone distribution and MAT initiation. Similarly, patient knowledge of the medications also was endorsed as a facilitator. As such, a consideration for any future ED/UCC-based naloxone distribution or MAT-initiation programs in the VHA should be patient education whether by a clinically trained professional or an educational campaign for veterans.
Expanded naloxone distribution and initiation of MAT for OUD for EDs/UCCs across the VHA could impact the lives of veterans on long-term opioid therapy, with OUD, or who are otherwise at risk for opioid overdose. Steps taken to address the barriers and leverage the facilitators identified by HCP respondents can greatly reduce current obstacles to widespread implementation of ED/UCC-based naloxone distribution and MAT initiation nationally within the VHA.
Limitations
This survey had a low response rate (16.7%). One potential explanation for the low response rate is that when the survey was deployed, many of the VHA ED/UCC physicians were per-diem employees. Per-diem physicians may be less engaged and aware of site facilitators or barriers to naloxone and MAT prescribing. This, too, may have potentially skewed the collected data. However, the survey did not ask HCPs to disclose their employment status; thus, exact rates of per diem respondents are unknown.
We aimed to capture only self-perceived barriers to prescribing naloxone and MAT in the ED, but we did not capture or measure HCP respondent’s actual prescribing rates of MAT or naloxone. Understanding HCP perceptions of naloxone distribution and MAT initiation in the ED may have been further informed by comparing HCP responses to their actual clinical practice as related to their prescribing of these medications. In future research, we will link HCPs with the actual numbers of naloxone and MAT medications prescribed. Additionally, we do not know how many of these barriers or proposed facilitators will impact clinical practice.
Conclusions
A key aim for VHA leadership is to increase veteran access to naloxone distribution and MAT for OUD across clinical areas. The present study aimed to identify HCP perceptions of barriers and facilitators to the naloxone distribution and MAT-initiation programs in VHA ED/UCCs to inform the development of a targeted QI program to implement these opioid safety measures. Although the survey yielded a low response rate, results allowed us to identify important action items for our QI program, such as the development of clear protocols, follow-up plans, and systems for referral of care and HCP educational materials related to MAT and naloxone. We hope this work will serve as the basis for ED/UCC-tailored programs that can provide customized educational programs for HCPs designed to overcome known barriers to naloxone and MAT initiation.
Acknowledgments
This work was supported by the VA Office of Specialty Care Services 10P11 and through funding provided by the Comprehensive Addiction and Recovery Act (CARA).
1. Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the united states: results from the 2018 National Survey on Drug Use and Health. Published August 2019. Accessed August 20, 2021. https://www.samhsa.gov/data/sites/default/files/cbhsq-reports/NSDUHNationalFindingsReport2018/NSDUHNationalFindingsReport2018.pdf
2. Bohnert AS, Ilgen MA, Galea S, McCarthy JF, Blow FC. Accidental poisoning mortality among patients in the Department of Veterans Affairs Health System. Med Care. 2011;49(4):393-396. doi:10.1097/MLR.0b013e318202aa27
3. US Department of Veterans Affairs, Pharmacy Benefits Management Service. Recommendations for issuing naloxone rescue for the VA opioid overdose education and naloxone distribution (OEND) program. Published August 2016. Accessed August 20, 2021. https://www.pbm.va.gov/PBM/clinicalguidance/clinicalrecommendations/Naloxone_HCl_Rescue_Kits_Recommendations_for_Use.pdf
4. US Department of Defense, US Department of Veterans Affairs, Opioid Therapy for Chronic Pain Work Group. VA/DoD clinical practice guideline for opioid therapy for chronic pain. Published February 2017. Accessed August 20, 2021. https://www.va.gov/HOMELESS/nchav/resources/docs/mental-health/substance-abuse/VA_DoD-CLINICAL-PRACTICE-GUIDELINE-FOR-OPIOID-THERAPY-FOR-CHRONIC-PAIN-508.pdf
5. Barnett ML, Olenski AR, Jena AB. Opioid-prescribing patterns of emergency physicians and risk of long-term use. N Engl J Med. 2017;376(7):663-673. doi:10.1056/NEJMsa1610524
6. Shah A, Hayes CJ, Martin BC. Characteristics of initial prescription episodes and likelihood of long-term opioid use - United States, 2006-2015. MMWR Morb Mortal Wkly Rep. 2017;66(10):265-269. Published 2017 Mar 17. doi:10.15585/mmwr.mm6610a1
7. Clark AK, Wilder CM, Winstanley EL. A systematic review of community opioid overdose prevention and naloxone distribution programs. J Addict Med. 2014;8(3):153-163. doi:10.1097/ADM.0000000000000034
8. Coffin PO, Behar E, Rowe C, et al. Nonrandomized intervention study of naloxone coprescription for primary care patients receiving long-term opioid therapy for Pain. Ann Intern Med. 2016;165(4):245-252. doi:10.7326/M15-2771
9. Ma J, Bao YP, Wang RJ, et al. Effects of medication-assisted treatment on mortality among opioids users: a systematic review and meta-analysis. Mol Psychiatry. 2019;24(12):1868-1883. doi:10.1038/s41380-018-0094-5
10. D’Onofrio G, O’Connor PG, Pantalon MV, et al. Emergency department-initiated buprenorphine/naloxone treatment for opioid dependence: a randomized clinical trial. JAMA. 2015;313(16):1636-1644. doi:10.1001/jama.2015.3474
11. Dieujuste N, Johnson-Koenke R, Christopher M, et al. Feasibility study of a quasi-experimental regional opioid safety prescribing program in Veterans Health Administration emergency departments. Acad Emerg Med. 2020;27(8):734-741. doi:10.1111/acem.13980
12. Mackey K, Veazie S, Anderson J, Bourne D, Peterson K. Evidence brief: barriers and facilitators to use of medications for opioid use disorder. Published July 2017. Accessed August 20, 2021. http://www.ncbi.nlm.nih.gov/books/NBK549203/
13. US Department of Health and Human Services, Office of the Surgeon General. Naloxone: the opioid reversal drug that saves lives. Published December 2018. Accessed August 20, 2021. https://www.hhs.gov/opioids/sites/default/files/2018-12/naloxone-coprescribing-guidance.pdf
14. US Department of Veterans Affairs, Veterans Health Administration. Chapter 256: Emergency department (ED) and urgent care clinic (UCC). Updated October 3, 2016. Accessed August 20, 2021. https://www.cfm.va.gov/til/space/spChapter256.pdf.
1. Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the united states: results from the 2018 National Survey on Drug Use and Health. Published August 2019. Accessed August 20, 2021. https://www.samhsa.gov/data/sites/default/files/cbhsq-reports/NSDUHNationalFindingsReport2018/NSDUHNationalFindingsReport2018.pdf
2. Bohnert AS, Ilgen MA, Galea S, McCarthy JF, Blow FC. Accidental poisoning mortality among patients in the Department of Veterans Affairs Health System. Med Care. 2011;49(4):393-396. doi:10.1097/MLR.0b013e318202aa27
3. US Department of Veterans Affairs, Pharmacy Benefits Management Service. Recommendations for issuing naloxone rescue for the VA opioid overdose education and naloxone distribution (OEND) program. Published August 2016. Accessed August 20, 2021. https://www.pbm.va.gov/PBM/clinicalguidance/clinicalrecommendations/Naloxone_HCl_Rescue_Kits_Recommendations_for_Use.pdf
4. US Department of Defense, US Department of Veterans Affairs, Opioid Therapy for Chronic Pain Work Group. VA/DoD clinical practice guideline for opioid therapy for chronic pain. Published February 2017. Accessed August 20, 2021. https://www.va.gov/HOMELESS/nchav/resources/docs/mental-health/substance-abuse/VA_DoD-CLINICAL-PRACTICE-GUIDELINE-FOR-OPIOID-THERAPY-FOR-CHRONIC-PAIN-508.pdf
5. Barnett ML, Olenski AR, Jena AB. Opioid-prescribing patterns of emergency physicians and risk of long-term use. N Engl J Med. 2017;376(7):663-673. doi:10.1056/NEJMsa1610524
6. Shah A, Hayes CJ, Martin BC. Characteristics of initial prescription episodes and likelihood of long-term opioid use - United States, 2006-2015. MMWR Morb Mortal Wkly Rep. 2017;66(10):265-269. Published 2017 Mar 17. doi:10.15585/mmwr.mm6610a1
7. Clark AK, Wilder CM, Winstanley EL. A systematic review of community opioid overdose prevention and naloxone distribution programs. J Addict Med. 2014;8(3):153-163. doi:10.1097/ADM.0000000000000034
8. Coffin PO, Behar E, Rowe C, et al. Nonrandomized intervention study of naloxone coprescription for primary care patients receiving long-term opioid therapy for Pain. Ann Intern Med. 2016;165(4):245-252. doi:10.7326/M15-2771
9. Ma J, Bao YP, Wang RJ, et al. Effects of medication-assisted treatment on mortality among opioids users: a systematic review and meta-analysis. Mol Psychiatry. 2019;24(12):1868-1883. doi:10.1038/s41380-018-0094-5
10. D’Onofrio G, O’Connor PG, Pantalon MV, et al. Emergency department-initiated buprenorphine/naloxone treatment for opioid dependence: a randomized clinical trial. JAMA. 2015;313(16):1636-1644. doi:10.1001/jama.2015.3474
11. Dieujuste N, Johnson-Koenke R, Christopher M, et al. Feasibility study of a quasi-experimental regional opioid safety prescribing program in Veterans Health Administration emergency departments. Acad Emerg Med. 2020;27(8):734-741. doi:10.1111/acem.13980
12. Mackey K, Veazie S, Anderson J, Bourne D, Peterson K. Evidence brief: barriers and facilitators to use of medications for opioid use disorder. Published July 2017. Accessed August 20, 2021. http://www.ncbi.nlm.nih.gov/books/NBK549203/
13. US Department of Health and Human Services, Office of the Surgeon General. Naloxone: the opioid reversal drug that saves lives. Published December 2018. Accessed August 20, 2021. https://www.hhs.gov/opioids/sites/default/files/2018-12/naloxone-coprescribing-guidance.pdf
14. US Department of Veterans Affairs, Veterans Health Administration. Chapter 256: Emergency department (ED) and urgent care clinic (UCC). Updated October 3, 2016. Accessed August 20, 2021. https://www.cfm.va.gov/til/space/spChapter256.pdf.
Concordance of DNA Repair Gene Mutations in Paired Primary Prostate Cancer Samples and Metastatic Tissue or Cell-free DNA
Importance
DNA damage response repair (DDR) gene mutations represent actionable alterations that can guide precision medicine strategies in men with advanced prostate cancer (PC). However, acquisition of contemporary tissue samples for molecular testing can be a barrier to deploying precision medicine approaches. We hypothesized that DDR alterations represent truncal events in PC and that primary tissue would reflect mutations found in cell-free circulating tumor (ctDNA) and/or metastatic tissue. OBJECTIVE: To assess concordance in DDR gene alterations between primary PC and metastases or ctDNA specimens.
Methods
Patients were included if a DDR pathway mutation was detected in metastatic tissue or ctDNA and primary tissue sequencing was available for comparison. Sequencing data from three cohorts were analyzed: (1) FoundationOne; (2) University of Washington (UW-OncoPlex or SU2C/PCF International Dream Team sequencing pipelines); and (3) University of Washington rapid autopsy series. Only pathogenic somatic mutations were included and we required 30 days between primary tumor tissue and ctDNA/ metastatic tissue acquisition. Clonal hematopoiesis of indeterminant potential (CHIP) and germline events were adjudicated by an expert molecular pathologist and excluded. DDR gene mutations detected in primary prostate tissue matched with metastatic tissue and/or ctDNA findings.
Results
Paired primary and ctDNA/metastatic samples were sequenced from 72 individuals with known DDR alterations. After excluding ctDNA studies where only CHIP and/or germline events (N=21) were observed, 51 subjects remained and were included in the final analysis. The median time from acquisition of primary tissue to acquisition of ctDNA or tumor tissue was 55 months (range: 5-193 months). Concordance in DDR gene mutation status across samples was 84% (95% CI: 71-92%). Rates of concordance between metastatic-primary and ctDNAprimary pairs were similar when CHIP cases were excluded. BRCA2 reversion mutations associated with resistance to PARP inhibitors and platinum chemotherapy were detected in ctDNA from two subjects.
Discussion
Primary prostate tissue accurately reflected the mutational status of actionable DDR genes in metastatic tissue, consistent with DDR alterations being truncal in most cases. After excluding likely CHIP events, ctDNA profiling accurately captured these DDR mutations, while also detecting reversion alterations that may suggest resistance mechanisms.
Importance
DNA damage response repair (DDR) gene mutations represent actionable alterations that can guide precision medicine strategies in men with advanced prostate cancer (PC). However, acquisition of contemporary tissue samples for molecular testing can be a barrier to deploying precision medicine approaches. We hypothesized that DDR alterations represent truncal events in PC and that primary tissue would reflect mutations found in cell-free circulating tumor (ctDNA) and/or metastatic tissue. OBJECTIVE: To assess concordance in DDR gene alterations between primary PC and metastases or ctDNA specimens.
Methods
Patients were included if a DDR pathway mutation was detected in metastatic tissue or ctDNA and primary tissue sequencing was available for comparison. Sequencing data from three cohorts were analyzed: (1) FoundationOne; (2) University of Washington (UW-OncoPlex or SU2C/PCF International Dream Team sequencing pipelines); and (3) University of Washington rapid autopsy series. Only pathogenic somatic mutations were included and we required 30 days between primary tumor tissue and ctDNA/ metastatic tissue acquisition. Clonal hematopoiesis of indeterminant potential (CHIP) and germline events were adjudicated by an expert molecular pathologist and excluded. DDR gene mutations detected in primary prostate tissue matched with metastatic tissue and/or ctDNA findings.
Results
Paired primary and ctDNA/metastatic samples were sequenced from 72 individuals with known DDR alterations. After excluding ctDNA studies where only CHIP and/or germline events (N=21) were observed, 51 subjects remained and were included in the final analysis. The median time from acquisition of primary tissue to acquisition of ctDNA or tumor tissue was 55 months (range: 5-193 months). Concordance in DDR gene mutation status across samples was 84% (95% CI: 71-92%). Rates of concordance between metastatic-primary and ctDNAprimary pairs were similar when CHIP cases were excluded. BRCA2 reversion mutations associated with resistance to PARP inhibitors and platinum chemotherapy were detected in ctDNA from two subjects.
Discussion
Primary prostate tissue accurately reflected the mutational status of actionable DDR genes in metastatic tissue, consistent with DDR alterations being truncal in most cases. After excluding likely CHIP events, ctDNA profiling accurately captured these DDR mutations, while also detecting reversion alterations that may suggest resistance mechanisms.
Importance
DNA damage response repair (DDR) gene mutations represent actionable alterations that can guide precision medicine strategies in men with advanced prostate cancer (PC). However, acquisition of contemporary tissue samples for molecular testing can be a barrier to deploying precision medicine approaches. We hypothesized that DDR alterations represent truncal events in PC and that primary tissue would reflect mutations found in cell-free circulating tumor (ctDNA) and/or metastatic tissue. OBJECTIVE: To assess concordance in DDR gene alterations between primary PC and metastases or ctDNA specimens.
Methods
Patients were included if a DDR pathway mutation was detected in metastatic tissue or ctDNA and primary tissue sequencing was available for comparison. Sequencing data from three cohorts were analyzed: (1) FoundationOne; (2) University of Washington (UW-OncoPlex or SU2C/PCF International Dream Team sequencing pipelines); and (3) University of Washington rapid autopsy series. Only pathogenic somatic mutations were included and we required 30 days between primary tumor tissue and ctDNA/ metastatic tissue acquisition. Clonal hematopoiesis of indeterminant potential (CHIP) and germline events were adjudicated by an expert molecular pathologist and excluded. DDR gene mutations detected in primary prostate tissue matched with metastatic tissue and/or ctDNA findings.
Results
Paired primary and ctDNA/metastatic samples were sequenced from 72 individuals with known DDR alterations. After excluding ctDNA studies where only CHIP and/or germline events (N=21) were observed, 51 subjects remained and were included in the final analysis. The median time from acquisition of primary tissue to acquisition of ctDNA or tumor tissue was 55 months (range: 5-193 months). Concordance in DDR gene mutation status across samples was 84% (95% CI: 71-92%). Rates of concordance between metastatic-primary and ctDNAprimary pairs were similar when CHIP cases were excluded. BRCA2 reversion mutations associated with resistance to PARP inhibitors and platinum chemotherapy were detected in ctDNA from two subjects.
Discussion
Primary prostate tissue accurately reflected the mutational status of actionable DDR genes in metastatic tissue, consistent with DDR alterations being truncal in most cases. After excluding likely CHIP events, ctDNA profiling accurately captured these DDR mutations, while also detecting reversion alterations that may suggest resistance mechanisms.
Prevalence and Management of Veterans with Advanced Solid Tumors Harboring NTRK Gene Rearrangements
Background
Oncogenic fusions within Neurotrophic Tyrosine Receptor Kinase (NTRK) 1, 2, or 3 drive constitutive hyperproliferative activity of (TRK) A, B, and C, respectively. Two TRK inhibitors have been approved for patients with advanced solid tumors bearing oncogenic fusions in NTRK1-3. We sought to describe the prevalence of NTRK fusions and rearrangements and to evaluate treatment outcomes among veterans treated with TRK inhibitors.
Methods
Patients with NTRK1-3 gene fusions or rearrangements were identified from the VA National Precision Oncology Program (NPOP) database. Separately, patients with orders for larotrectinib or entrectinib were identified from the Corporate Data Warehouse (CDW) and associated patient demographics and vital status were obtained. The prevalence of NTRK1-3 gene fusions and rearrangements was computed for all patients who had testing within NPOP. For patients who received either larotrectinib or entrectinib, duration of drug use, tumor response, reasons for drug discontinuation and toxicities were abstracted from medical records. For patients not treated with either drug, medical records were used to identify the reason for no drug use.
Results
Among 14,515 samples sequenced through NPOP (11,714 tissue DNA ,176 tissue DNA/RNA and 2625 liquid biopsy DNA tests), 14 (0.096%) had NTRK1-3 gene fusions or rearrangements (6 canonical fusions, 2 non-canonical fusions and 6 non-fusion gene rearrangements). Two patients tested outside of NPOP had canonical fusions. Among the 16 patients, 5 had prostate, 4 lung, 2 thyroid, 2 sarcoma, 1 bladder, 1 gastric, and 1 colorectal cancer. Twelve patients had metastatic disease, and 4 had early-stage disease. Eight patients were prescribed a TRK inhibitor (larotrectinib 5, entrectinib 3). Median duration of treatment was 59 (29 – 88) days. No responses were observed in the 7 evaluable patients. One patient developed neurotoxicity requiring temporary cessation of larotrectinib, and one patient treated with entrectinib developed volume overload requiring hospitalization leading to drug discontinuation.
Conclusion
Among veterans tested in NPOP, oncogenic NTRK fusions and rearrangements are very uncommon, and no patient had a response to treatment with a TRK inhibitor. Reconsideration of NTRK1-3 testing methodology and recommendations is warranted.
Background
Oncogenic fusions within Neurotrophic Tyrosine Receptor Kinase (NTRK) 1, 2, or 3 drive constitutive hyperproliferative activity of (TRK) A, B, and C, respectively. Two TRK inhibitors have been approved for patients with advanced solid tumors bearing oncogenic fusions in NTRK1-3. We sought to describe the prevalence of NTRK fusions and rearrangements and to evaluate treatment outcomes among veterans treated with TRK inhibitors.
Methods
Patients with NTRK1-3 gene fusions or rearrangements were identified from the VA National Precision Oncology Program (NPOP) database. Separately, patients with orders for larotrectinib or entrectinib were identified from the Corporate Data Warehouse (CDW) and associated patient demographics and vital status were obtained. The prevalence of NTRK1-3 gene fusions and rearrangements was computed for all patients who had testing within NPOP. For patients who received either larotrectinib or entrectinib, duration of drug use, tumor response, reasons for drug discontinuation and toxicities were abstracted from medical records. For patients not treated with either drug, medical records were used to identify the reason for no drug use.
Results
Among 14,515 samples sequenced through NPOP (11,714 tissue DNA ,176 tissue DNA/RNA and 2625 liquid biopsy DNA tests), 14 (0.096%) had NTRK1-3 gene fusions or rearrangements (6 canonical fusions, 2 non-canonical fusions and 6 non-fusion gene rearrangements). Two patients tested outside of NPOP had canonical fusions. Among the 16 patients, 5 had prostate, 4 lung, 2 thyroid, 2 sarcoma, 1 bladder, 1 gastric, and 1 colorectal cancer. Twelve patients had metastatic disease, and 4 had early-stage disease. Eight patients were prescribed a TRK inhibitor (larotrectinib 5, entrectinib 3). Median duration of treatment was 59 (29 – 88) days. No responses were observed in the 7 evaluable patients. One patient developed neurotoxicity requiring temporary cessation of larotrectinib, and one patient treated with entrectinib developed volume overload requiring hospitalization leading to drug discontinuation.
Conclusion
Among veterans tested in NPOP, oncogenic NTRK fusions and rearrangements are very uncommon, and no patient had a response to treatment with a TRK inhibitor. Reconsideration of NTRK1-3 testing methodology and recommendations is warranted.
Background
Oncogenic fusions within Neurotrophic Tyrosine Receptor Kinase (NTRK) 1, 2, or 3 drive constitutive hyperproliferative activity of (TRK) A, B, and C, respectively. Two TRK inhibitors have been approved for patients with advanced solid tumors bearing oncogenic fusions in NTRK1-3. We sought to describe the prevalence of NTRK fusions and rearrangements and to evaluate treatment outcomes among veterans treated with TRK inhibitors.
Methods
Patients with NTRK1-3 gene fusions or rearrangements were identified from the VA National Precision Oncology Program (NPOP) database. Separately, patients with orders for larotrectinib or entrectinib were identified from the Corporate Data Warehouse (CDW) and associated patient demographics and vital status were obtained. The prevalence of NTRK1-3 gene fusions and rearrangements was computed for all patients who had testing within NPOP. For patients who received either larotrectinib or entrectinib, duration of drug use, tumor response, reasons for drug discontinuation and toxicities were abstracted from medical records. For patients not treated with either drug, medical records were used to identify the reason for no drug use.
Results
Among 14,515 samples sequenced through NPOP (11,714 tissue DNA ,176 tissue DNA/RNA and 2625 liquid biopsy DNA tests), 14 (0.096%) had NTRK1-3 gene fusions or rearrangements (6 canonical fusions, 2 non-canonical fusions and 6 non-fusion gene rearrangements). Two patients tested outside of NPOP had canonical fusions. Among the 16 patients, 5 had prostate, 4 lung, 2 thyroid, 2 sarcoma, 1 bladder, 1 gastric, and 1 colorectal cancer. Twelve patients had metastatic disease, and 4 had early-stage disease. Eight patients were prescribed a TRK inhibitor (larotrectinib 5, entrectinib 3). Median duration of treatment was 59 (29 – 88) days. No responses were observed in the 7 evaluable patients. One patient developed neurotoxicity requiring temporary cessation of larotrectinib, and one patient treated with entrectinib developed volume overload requiring hospitalization leading to drug discontinuation.
Conclusion
Among veterans tested in NPOP, oncogenic NTRK fusions and rearrangements are very uncommon, and no patient had a response to treatment with a TRK inhibitor. Reconsideration of NTRK1-3 testing methodology and recommendations is warranted.
Factors Associated with Survival and Epidemiology of Gastrointestinal Neuroendocrine Tumors in the US Department of Veteran Affairs
Introduction
Rectal carcinoid tumors are rare but the second most common carcinoid in the gastrointestinal tract. They are usually found incidentally during endoscopic or rectal examination. They do not often produce carcinoid syndrome like manifestations although they may manifest as rectal bleeding. Rectal carcinoid patients also have a higher morbidity for other cancers such as stomach, small intestine, or secondary lung cancer.
Methods
We retrospectively explored factors associated with survival in Veterans with rectal carcinoid tumors over a ten-year period from 2007-2017 using the National Veterans Affairs Cancer Cube Registry using specific histological ICD-03 coding. We identified 1110 cases of rectal carcinoid. Chi-squared tests were used for statistical analysis.
Results
Regarding age distribution in our cohort, there were 2.61% of patients ages 40-50 group, 14.0% in the 50-60 age group, 41.5% in the 60-70 age group, and 40.7% above ages 70. There was a higher proportion of rectal cancer in stage 1 compared to other stages (86.3%). The majority of diagnoses occur after age 50 (89.8%). A higher proportion of rectal carcinoid was identified in the 60-70 years category compared to <60 and >70 years old. In the general VA population, there are 80.2% White and 12.8% Black patients. We found a higher proportion of rectal carcinoid in Black patients (47.8%) over White patients (42.8%, p=0.02), which differs significantly from the racial makeup of the VA population (12.8% Black vs 80.3% White). Looking at survival time based on diagnosis, it is notable that 82.7% of individuals survive longer than 5 years when the diagnosis is made in ages 50-60 when compared to 68.7% when the diagnosis is made between ages 60-70 (p<0.001).
Conclusions
Our data is consistent with the SEER data in that the incidence and prevalence of rectal carcinoid are higher in Black patients compared to White patients. Further analysis into reasons for this racial disparity may prove beneficial to our understanding of this malignancy in the Veteran population. Further research is needed to determine whether diagnosis at a younger age offers a survival advantage in rectal carcinoid.
Introduction
Rectal carcinoid tumors are rare but the second most common carcinoid in the gastrointestinal tract. They are usually found incidentally during endoscopic or rectal examination. They do not often produce carcinoid syndrome like manifestations although they may manifest as rectal bleeding. Rectal carcinoid patients also have a higher morbidity for other cancers such as stomach, small intestine, or secondary lung cancer.
Methods
We retrospectively explored factors associated with survival in Veterans with rectal carcinoid tumors over a ten-year period from 2007-2017 using the National Veterans Affairs Cancer Cube Registry using specific histological ICD-03 coding. We identified 1110 cases of rectal carcinoid. Chi-squared tests were used for statistical analysis.
Results
Regarding age distribution in our cohort, there were 2.61% of patients ages 40-50 group, 14.0% in the 50-60 age group, 41.5% in the 60-70 age group, and 40.7% above ages 70. There was a higher proportion of rectal cancer in stage 1 compared to other stages (86.3%). The majority of diagnoses occur after age 50 (89.8%). A higher proportion of rectal carcinoid was identified in the 60-70 years category compared to <60 and >70 years old. In the general VA population, there are 80.2% White and 12.8% Black patients. We found a higher proportion of rectal carcinoid in Black patients (47.8%) over White patients (42.8%, p=0.02), which differs significantly from the racial makeup of the VA population (12.8% Black vs 80.3% White). Looking at survival time based on diagnosis, it is notable that 82.7% of individuals survive longer than 5 years when the diagnosis is made in ages 50-60 when compared to 68.7% when the diagnosis is made between ages 60-70 (p<0.001).
Conclusions
Our data is consistent with the SEER data in that the incidence and prevalence of rectal carcinoid are higher in Black patients compared to White patients. Further analysis into reasons for this racial disparity may prove beneficial to our understanding of this malignancy in the Veteran population. Further research is needed to determine whether diagnosis at a younger age offers a survival advantage in rectal carcinoid.
Introduction
Rectal carcinoid tumors are rare but the second most common carcinoid in the gastrointestinal tract. They are usually found incidentally during endoscopic or rectal examination. They do not often produce carcinoid syndrome like manifestations although they may manifest as rectal bleeding. Rectal carcinoid patients also have a higher morbidity for other cancers such as stomach, small intestine, or secondary lung cancer.
Methods
We retrospectively explored factors associated with survival in Veterans with rectal carcinoid tumors over a ten-year period from 2007-2017 using the National Veterans Affairs Cancer Cube Registry using specific histological ICD-03 coding. We identified 1110 cases of rectal carcinoid. Chi-squared tests were used for statistical analysis.
Results
Regarding age distribution in our cohort, there were 2.61% of patients ages 40-50 group, 14.0% in the 50-60 age group, 41.5% in the 60-70 age group, and 40.7% above ages 70. There was a higher proportion of rectal cancer in stage 1 compared to other stages (86.3%). The majority of diagnoses occur after age 50 (89.8%). A higher proportion of rectal carcinoid was identified in the 60-70 years category compared to <60 and >70 years old. In the general VA population, there are 80.2% White and 12.8% Black patients. We found a higher proportion of rectal carcinoid in Black patients (47.8%) over White patients (42.8%, p=0.02), which differs significantly from the racial makeup of the VA population (12.8% Black vs 80.3% White). Looking at survival time based on diagnosis, it is notable that 82.7% of individuals survive longer than 5 years when the diagnosis is made in ages 50-60 when compared to 68.7% when the diagnosis is made between ages 60-70 (p<0.001).
Conclusions
Our data is consistent with the SEER data in that the incidence and prevalence of rectal carcinoid are higher in Black patients compared to White patients. Further analysis into reasons for this racial disparity may prove beneficial to our understanding of this malignancy in the Veteran population. Further research is needed to determine whether diagnosis at a younger age offers a survival advantage in rectal carcinoid.
Methods of Identifying Real World mCRPC Patients from the Veterans Health Administration System
Purpose
Prostate cancer is the fifth leading cause of death in the United States. Genomic testing is essential to guide treatment decisions in patients with metastatic castration resistant prostate cancer (mCRPC), the most advanced stage of prostate cancer. However, identifying mCRPC patients from administrative data is challenging and hinders researchers’ ability to assess testing among these patients. This study aims to develop algorithms using structured data and unstructured data with Natural language processing (NLP) methods to identify veterans by disease stage and hormone sensitivity, and to assess patient characteristics as well as receipt of tumor NGS testing.
Methods
We used biopsy, pathology, and diagnosis codes, to identify veterans with newly diagnosed PC within the Veterans Health Administration (VA) from January 1, 2017 to December 31, 2020. We developed and deployed: 1. A structured algorithm that used medication and Prostate-Specific Antigen (PSA) data to assess hormone sensitivity. 2. NLP tools to extract disease stage and hormone sensitivity from clinical notes. We report descriptive statistics on patient demographics, clinical characteristics, disease status, androgen deprivation therapy (ADT), and receipt of tumor NGS testing.
Results
There were 42,485 veterans with newly diagnosed prostate cancer between 2017-2020. This represented ~0.18% of veterans served in the VA and consisted of Whites (57%), Blacks (33%), and others (10%). During the study period, 3,113 (7.3%) patients had documentation of assessment for intraductal carcinoma, 5,160 (12.1%) had ADT treatment, 1,481 (3.5%) had CRPC, and 3,246 (7.6%) had metastatic disease. Among the 42,485 veterans, 422 received tumor NGS testing within VA, and 300 of them had metastatic disease. NLP tool and structured data algorithm collectively showed that 38% of the 422 tumor NGS testing recipients had mCRPC. Among all newly diagnosed PC patients, White patients had highest rates of tumor-based testing (2.3%), then Native Hawaiians (1.7%), Asians and Blacks (1.2% each), compared to Native Americans (0.4%).
Implications
NLP tools alongside structured data algorithms successfully identified variables required to measure access to tumor NGS testing. Efforts to validate and apply this method is ongoing to assess receipt of precision prostate cancer care in VA.
Purpose
Prostate cancer is the fifth leading cause of death in the United States. Genomic testing is essential to guide treatment decisions in patients with metastatic castration resistant prostate cancer (mCRPC), the most advanced stage of prostate cancer. However, identifying mCRPC patients from administrative data is challenging and hinders researchers’ ability to assess testing among these patients. This study aims to develop algorithms using structured data and unstructured data with Natural language processing (NLP) methods to identify veterans by disease stage and hormone sensitivity, and to assess patient characteristics as well as receipt of tumor NGS testing.
Methods
We used biopsy, pathology, and diagnosis codes, to identify veterans with newly diagnosed PC within the Veterans Health Administration (VA) from January 1, 2017 to December 31, 2020. We developed and deployed: 1. A structured algorithm that used medication and Prostate-Specific Antigen (PSA) data to assess hormone sensitivity. 2. NLP tools to extract disease stage and hormone sensitivity from clinical notes. We report descriptive statistics on patient demographics, clinical characteristics, disease status, androgen deprivation therapy (ADT), and receipt of tumor NGS testing.
Results
There were 42,485 veterans with newly diagnosed prostate cancer between 2017-2020. This represented ~0.18% of veterans served in the VA and consisted of Whites (57%), Blacks (33%), and others (10%). During the study period, 3,113 (7.3%) patients had documentation of assessment for intraductal carcinoma, 5,160 (12.1%) had ADT treatment, 1,481 (3.5%) had CRPC, and 3,246 (7.6%) had metastatic disease. Among the 42,485 veterans, 422 received tumor NGS testing within VA, and 300 of them had metastatic disease. NLP tool and structured data algorithm collectively showed that 38% of the 422 tumor NGS testing recipients had mCRPC. Among all newly diagnosed PC patients, White patients had highest rates of tumor-based testing (2.3%), then Native Hawaiians (1.7%), Asians and Blacks (1.2% each), compared to Native Americans (0.4%).
Implications
NLP tools alongside structured data algorithms successfully identified variables required to measure access to tumor NGS testing. Efforts to validate and apply this method is ongoing to assess receipt of precision prostate cancer care in VA.
Purpose
Prostate cancer is the fifth leading cause of death in the United States. Genomic testing is essential to guide treatment decisions in patients with metastatic castration resistant prostate cancer (mCRPC), the most advanced stage of prostate cancer. However, identifying mCRPC patients from administrative data is challenging and hinders researchers’ ability to assess testing among these patients. This study aims to develop algorithms using structured data and unstructured data with Natural language processing (NLP) methods to identify veterans by disease stage and hormone sensitivity, and to assess patient characteristics as well as receipt of tumor NGS testing.
Methods
We used biopsy, pathology, and diagnosis codes, to identify veterans with newly diagnosed PC within the Veterans Health Administration (VA) from January 1, 2017 to December 31, 2020. We developed and deployed: 1. A structured algorithm that used medication and Prostate-Specific Antigen (PSA) data to assess hormone sensitivity. 2. NLP tools to extract disease stage and hormone sensitivity from clinical notes. We report descriptive statistics on patient demographics, clinical characteristics, disease status, androgen deprivation therapy (ADT), and receipt of tumor NGS testing.
Results
There were 42,485 veterans with newly diagnosed prostate cancer between 2017-2020. This represented ~0.18% of veterans served in the VA and consisted of Whites (57%), Blacks (33%), and others (10%). During the study period, 3,113 (7.3%) patients had documentation of assessment for intraductal carcinoma, 5,160 (12.1%) had ADT treatment, 1,481 (3.5%) had CRPC, and 3,246 (7.6%) had metastatic disease. Among the 42,485 veterans, 422 received tumor NGS testing within VA, and 300 of them had metastatic disease. NLP tool and structured data algorithm collectively showed that 38% of the 422 tumor NGS testing recipients had mCRPC. Among all newly diagnosed PC patients, White patients had highest rates of tumor-based testing (2.3%), then Native Hawaiians (1.7%), Asians and Blacks (1.2% each), compared to Native Americans (0.4%).
Implications
NLP tools alongside structured data algorithms successfully identified variables required to measure access to tumor NGS testing. Efforts to validate and apply this method is ongoing to assess receipt of precision prostate cancer care in VA.
Diagnosis of Prostate Cancer and Prostate-specific Antigen Level on Initial Prostate Biopsy: Does Race Matter?
Objective
To determine whether Black Veterans are at higher risk for prostate cancer diagnosis on their first prostate biopsy compared to non-Hispanic White (White) Veterans.
Background
Prostate-specific antigen (PSA) testing is widely used to screen for prostate cancer. Although men of African ancestry display an increased incidence of prostate cancer and more aggressive disease, specific PSA thresholds for biopsy referral have yet to be proposed for this population.
Methods
We used the VHA’s electronic medical record data to collect Veterans’ demographic and clinical characteristics including self-identified race/ethnicity, age, date of first prostate biopsy, PSA results, and prostate cancer diagnosis. Veterans’ ZIP code of residence was used to determine urban/rural status, income, and education. We estimated multivariable logistic regression models to predict the likelihood of prostate cancer diagnosis on the first biopsy using race, baseline PSA, age at first PSA test, age at initial biopsy, smoking status, use of statins, and socioeconomic factors as predictors. We calculated adjusted predicted probabilities of cancer detection on the first prostate biopsy from the logistic models at different PSA levels.
Results
We identified 246,056 White and 71,653 Black Veterans who underwent their first prostate biopsy through February 28, 2020 and who had no previous prostate cancer diagnosis or treatment prior to that biopsy. Black Veterans appeared to receive their first PSA test four years earlier and undergo their first prostate biopsy two years earlier than their White counterparts (median age of 57 vs. 61 and 63 vs. 65, respectively). After controlling for selected covariates, we found that Black Veterans were 52% more likely to be diagnosed with prostate cancer on their first prostate biopsy compared to White Veterans (OR 1.52, 95% CI 1.49-1.55). Our model indicated that a Black Veteran with a PSA of 4.0 ng/ml has an equivalent risk of prostate cancer detection as a White Veteran with a PSA of 9.7 ng/ml.
Implications
Our findings suggested that developing a risk-based PSA threshold for referral to prostate biopsy may lead to earlier diagnosis of clinically significant prostate cancer in a population of Veterans known to have an increased incidence and risk of aggressive disease.
Objective
To determine whether Black Veterans are at higher risk for prostate cancer diagnosis on their first prostate biopsy compared to non-Hispanic White (White) Veterans.
Background
Prostate-specific antigen (PSA) testing is widely used to screen for prostate cancer. Although men of African ancestry display an increased incidence of prostate cancer and more aggressive disease, specific PSA thresholds for biopsy referral have yet to be proposed for this population.
Methods
We used the VHA’s electronic medical record data to collect Veterans’ demographic and clinical characteristics including self-identified race/ethnicity, age, date of first prostate biopsy, PSA results, and prostate cancer diagnosis. Veterans’ ZIP code of residence was used to determine urban/rural status, income, and education. We estimated multivariable logistic regression models to predict the likelihood of prostate cancer diagnosis on the first biopsy using race, baseline PSA, age at first PSA test, age at initial biopsy, smoking status, use of statins, and socioeconomic factors as predictors. We calculated adjusted predicted probabilities of cancer detection on the first prostate biopsy from the logistic models at different PSA levels.
Results
We identified 246,056 White and 71,653 Black Veterans who underwent their first prostate biopsy through February 28, 2020 and who had no previous prostate cancer diagnosis or treatment prior to that biopsy. Black Veterans appeared to receive their first PSA test four years earlier and undergo their first prostate biopsy two years earlier than their White counterparts (median age of 57 vs. 61 and 63 vs. 65, respectively). After controlling for selected covariates, we found that Black Veterans were 52% more likely to be diagnosed with prostate cancer on their first prostate biopsy compared to White Veterans (OR 1.52, 95% CI 1.49-1.55). Our model indicated that a Black Veteran with a PSA of 4.0 ng/ml has an equivalent risk of prostate cancer detection as a White Veteran with a PSA of 9.7 ng/ml.
Implications
Our findings suggested that developing a risk-based PSA threshold for referral to prostate biopsy may lead to earlier diagnosis of clinically significant prostate cancer in a population of Veterans known to have an increased incidence and risk of aggressive disease.
Objective
To determine whether Black Veterans are at higher risk for prostate cancer diagnosis on their first prostate biopsy compared to non-Hispanic White (White) Veterans.
Background
Prostate-specific antigen (PSA) testing is widely used to screen for prostate cancer. Although men of African ancestry display an increased incidence of prostate cancer and more aggressive disease, specific PSA thresholds for biopsy referral have yet to be proposed for this population.
Methods
We used the VHA’s electronic medical record data to collect Veterans’ demographic and clinical characteristics including self-identified race/ethnicity, age, date of first prostate biopsy, PSA results, and prostate cancer diagnosis. Veterans’ ZIP code of residence was used to determine urban/rural status, income, and education. We estimated multivariable logistic regression models to predict the likelihood of prostate cancer diagnosis on the first biopsy using race, baseline PSA, age at first PSA test, age at initial biopsy, smoking status, use of statins, and socioeconomic factors as predictors. We calculated adjusted predicted probabilities of cancer detection on the first prostate biopsy from the logistic models at different PSA levels.
Results
We identified 246,056 White and 71,653 Black Veterans who underwent their first prostate biopsy through February 28, 2020 and who had no previous prostate cancer diagnosis or treatment prior to that biopsy. Black Veterans appeared to receive their first PSA test four years earlier and undergo their first prostate biopsy two years earlier than their White counterparts (median age of 57 vs. 61 and 63 vs. 65, respectively). After controlling for selected covariates, we found that Black Veterans were 52% more likely to be diagnosed with prostate cancer on their first prostate biopsy compared to White Veterans (OR 1.52, 95% CI 1.49-1.55). Our model indicated that a Black Veteran with a PSA of 4.0 ng/ml has an equivalent risk of prostate cancer detection as a White Veteran with a PSA of 9.7 ng/ml.
Implications
Our findings suggested that developing a risk-based PSA threshold for referral to prostate biopsy may lead to earlier diagnosis of clinically significant prostate cancer in a population of Veterans known to have an increased incidence and risk of aggressive disease.
Racial Disparities in Treatment and Survival for Early-Stage Non-Small Cell Lung Cancer: Is Equal Access Health Care System the Answer?
Background
Survival for early-stage non-small cell lung cancer (NSCLC) has dramatically improved with advancement in surgical and radiation techniques over last two decades but there exists a disparity for African Americans (AA) having worse overall survival (OS) in recent studies on the general US population. We studied this racial disparity in Veteran population.
Methods
Data for 2589 AA and 14184 Caucasian Veterans diagnosed with early-stage (I, II) NSCLC between 2011-2017 was obtained from the Cancer Cube Registry (VACCR). IRB approval was obtained.
Results
The distribution of newly diagnosed cases of Stage I (73.92% AA vs 74.71% Caucasians) and Stage II (26.07% vs 25.29%) between the two races was comparable (p = .41). More Caucasians were diagnosed above the age of 60 compared to AA (92.22% vs 84.51%, p < .05). More AA were diagnosed with adenocarcinoma at diagnosis (56.01% vs 45.88% Caucasians, p < .05) for both Stage I and II disease. For the limited number of Veterans with reported performance status (PS), similar proportion of patients had a good PS defined as ECOG 0-2 among the two races (93.70% AA vs 93.97% Caucasians, p = .73). There was no statistically significant difference between 5-year OS for AA and Caucasians (69.81% vs 70.78%, p = .33) for both Stage I and II NSCLC. Both groups had similar rate of receipt of surgery as first line treatment or in combination with other treatments (58.90% AA vs 59.07% Caucasians, p = .90). Similarly, the rate of receiving radiation therapy was comparable between AA and Caucasians (42.4% vs 42.3%, p = .96). Although both races showed improved 5-year OS after surgery, there was no statistical difference in survival benefit between AA and Caucasians (69.8% vs 70.8%, p = .33).
Conclusion
In contrast to the studies assessing general US population trends, there was no racial disparity for 5-year OS in early-stage NSCLC for the Veteran population. This points to the inequities in access to treatment and preventive healthcare services as a possible contributing cause to the increased mortality in AA in general US population and a more equitable healthcare delivery within the VHA system.
Background
Survival for early-stage non-small cell lung cancer (NSCLC) has dramatically improved with advancement in surgical and radiation techniques over last two decades but there exists a disparity for African Americans (AA) having worse overall survival (OS) in recent studies on the general US population. We studied this racial disparity in Veteran population.
Methods
Data for 2589 AA and 14184 Caucasian Veterans diagnosed with early-stage (I, II) NSCLC between 2011-2017 was obtained from the Cancer Cube Registry (VACCR). IRB approval was obtained.
Results
The distribution of newly diagnosed cases of Stage I (73.92% AA vs 74.71% Caucasians) and Stage II (26.07% vs 25.29%) between the two races was comparable (p = .41). More Caucasians were diagnosed above the age of 60 compared to AA (92.22% vs 84.51%, p < .05). More AA were diagnosed with adenocarcinoma at diagnosis (56.01% vs 45.88% Caucasians, p < .05) for both Stage I and II disease. For the limited number of Veterans with reported performance status (PS), similar proportion of patients had a good PS defined as ECOG 0-2 among the two races (93.70% AA vs 93.97% Caucasians, p = .73). There was no statistically significant difference between 5-year OS for AA and Caucasians (69.81% vs 70.78%, p = .33) for both Stage I and II NSCLC. Both groups had similar rate of receipt of surgery as first line treatment or in combination with other treatments (58.90% AA vs 59.07% Caucasians, p = .90). Similarly, the rate of receiving radiation therapy was comparable between AA and Caucasians (42.4% vs 42.3%, p = .96). Although both races showed improved 5-year OS after surgery, there was no statistical difference in survival benefit between AA and Caucasians (69.8% vs 70.8%, p = .33).
Conclusion
In contrast to the studies assessing general US population trends, there was no racial disparity for 5-year OS in early-stage NSCLC for the Veteran population. This points to the inequities in access to treatment and preventive healthcare services as a possible contributing cause to the increased mortality in AA in general US population and a more equitable healthcare delivery within the VHA system.
Background
Survival for early-stage non-small cell lung cancer (NSCLC) has dramatically improved with advancement in surgical and radiation techniques over last two decades but there exists a disparity for African Americans (AA) having worse overall survival (OS) in recent studies on the general US population. We studied this racial disparity in Veteran population.
Methods
Data for 2589 AA and 14184 Caucasian Veterans diagnosed with early-stage (I, II) NSCLC between 2011-2017 was obtained from the Cancer Cube Registry (VACCR). IRB approval was obtained.
Results
The distribution of newly diagnosed cases of Stage I (73.92% AA vs 74.71% Caucasians) and Stage II (26.07% vs 25.29%) between the two races was comparable (p = .41). More Caucasians were diagnosed above the age of 60 compared to AA (92.22% vs 84.51%, p < .05). More AA were diagnosed with adenocarcinoma at diagnosis (56.01% vs 45.88% Caucasians, p < .05) for both Stage I and II disease. For the limited number of Veterans with reported performance status (PS), similar proportion of patients had a good PS defined as ECOG 0-2 among the two races (93.70% AA vs 93.97% Caucasians, p = .73). There was no statistically significant difference between 5-year OS for AA and Caucasians (69.81% vs 70.78%, p = .33) for both Stage I and II NSCLC. Both groups had similar rate of receipt of surgery as first line treatment or in combination with other treatments (58.90% AA vs 59.07% Caucasians, p = .90). Similarly, the rate of receiving radiation therapy was comparable between AA and Caucasians (42.4% vs 42.3%, p = .96). Although both races showed improved 5-year OS after surgery, there was no statistical difference in survival benefit between AA and Caucasians (69.8% vs 70.8%, p = .33).
Conclusion
In contrast to the studies assessing general US population trends, there was no racial disparity for 5-year OS in early-stage NSCLC for the Veteran population. This points to the inequities in access to treatment and preventive healthcare services as a possible contributing cause to the increased mortality in AA in general US population and a more equitable healthcare delivery within the VHA system.
Survival Analysis of Untreated Early-Stage Non-Small Cell Lung Cancer (NSCLC) in a Veteran Population
Introduction
Veterans with early-stage NSCLC who do not receive any form of treatment have been shown to have a worse overall survival compared to those who receive treatment. Factors that may influence the decision to administer treatment including age, performance status (PS), comorbidities, and racial disparity have not been assessed on a national level in recent years.
Methods
Data for 31,966 veterans diagnosed with early-stage (0, I) NSCLC between 2003-2017 was obtained from the Cancer cube registry (VACCR). IRB approval was obtained.
Results
Patients were divided into treatment (26,833/31,966, 83.16%) and no-treatment group (3096/31966, 9.68%). Of the no-treatment group, 3004 patients were stage I and 92 were stage 0 whereas in the treatment group, the distribution was 26,584 and 249 respectively. Gender, race, and histology distribution were comparable between the two. Patients with poor PS (defined as ECOG III and IV) received less treatment with any modality compared to those with good PS (ECOG I and II) (15.07% in no treatment group vs 4.03% in treatment group, p<0.05). The treatment group had a better 5-year overall survival (OS) as compared to no-treatment group (43.1% vs 14.7%, p<0.05). Regardless of treatment, patients above the age of 60 (41% vs 13.4%, p<0.05) and those with poor PS (19.6% vs 5.8%, p<0.05) had worse 5-year survival, with the effect being greater in the treatment group. Adenocarcinoma had a better 5-year survival compared to squamous cell carcinoma (SCC) in both groups (49.56% vs 39.1% p<0.05). There was no clinically significant OS difference in terms of race (Caucasian or African American) or tumor location (upper, middle, or lower lobe) in between the two groups. Our study was limited by lack of patient- level data including smoking status or reason why no treatment was given.
Conclusion
Patients with early-stage NSCLC who receive no treatment based on poor PS have a worse overall survival compared to the patients that receive treatment. Further investigation is required to assess what other criteria are used to decide treatment eligibility and whether these patients would be candidates for immunotherapy or targeted therapy in the future.
Introduction
Veterans with early-stage NSCLC who do not receive any form of treatment have been shown to have a worse overall survival compared to those who receive treatment. Factors that may influence the decision to administer treatment including age, performance status (PS), comorbidities, and racial disparity have not been assessed on a national level in recent years.
Methods
Data for 31,966 veterans diagnosed with early-stage (0, I) NSCLC between 2003-2017 was obtained from the Cancer cube registry (VACCR). IRB approval was obtained.
Results
Patients were divided into treatment (26,833/31,966, 83.16%) and no-treatment group (3096/31966, 9.68%). Of the no-treatment group, 3004 patients were stage I and 92 were stage 0 whereas in the treatment group, the distribution was 26,584 and 249 respectively. Gender, race, and histology distribution were comparable between the two. Patients with poor PS (defined as ECOG III and IV) received less treatment with any modality compared to those with good PS (ECOG I and II) (15.07% in no treatment group vs 4.03% in treatment group, p<0.05). The treatment group had a better 5-year overall survival (OS) as compared to no-treatment group (43.1% vs 14.7%, p<0.05). Regardless of treatment, patients above the age of 60 (41% vs 13.4%, p<0.05) and those with poor PS (19.6% vs 5.8%, p<0.05) had worse 5-year survival, with the effect being greater in the treatment group. Adenocarcinoma had a better 5-year survival compared to squamous cell carcinoma (SCC) in both groups (49.56% vs 39.1% p<0.05). There was no clinically significant OS difference in terms of race (Caucasian or African American) or tumor location (upper, middle, or lower lobe) in between the two groups. Our study was limited by lack of patient- level data including smoking status or reason why no treatment was given.
Conclusion
Patients with early-stage NSCLC who receive no treatment based on poor PS have a worse overall survival compared to the patients that receive treatment. Further investigation is required to assess what other criteria are used to decide treatment eligibility and whether these patients would be candidates for immunotherapy or targeted therapy in the future.
Introduction
Veterans with early-stage NSCLC who do not receive any form of treatment have been shown to have a worse overall survival compared to those who receive treatment. Factors that may influence the decision to administer treatment including age, performance status (PS), comorbidities, and racial disparity have not been assessed on a national level in recent years.
Methods
Data for 31,966 veterans diagnosed with early-stage (0, I) NSCLC between 2003-2017 was obtained from the Cancer cube registry (VACCR). IRB approval was obtained.
Results
Patients were divided into treatment (26,833/31,966, 83.16%) and no-treatment group (3096/31966, 9.68%). Of the no-treatment group, 3004 patients were stage I and 92 were stage 0 whereas in the treatment group, the distribution was 26,584 and 249 respectively. Gender, race, and histology distribution were comparable between the two. Patients with poor PS (defined as ECOG III and IV) received less treatment with any modality compared to those with good PS (ECOG I and II) (15.07% in no treatment group vs 4.03% in treatment group, p<0.05). The treatment group had a better 5-year overall survival (OS) as compared to no-treatment group (43.1% vs 14.7%, p<0.05). Regardless of treatment, patients above the age of 60 (41% vs 13.4%, p<0.05) and those with poor PS (19.6% vs 5.8%, p<0.05) had worse 5-year survival, with the effect being greater in the treatment group. Adenocarcinoma had a better 5-year survival compared to squamous cell carcinoma (SCC) in both groups (49.56% vs 39.1% p<0.05). There was no clinically significant OS difference in terms of race (Caucasian or African American) or tumor location (upper, middle, or lower lobe) in between the two groups. Our study was limited by lack of patient- level data including smoking status or reason why no treatment was given.
Conclusion
Patients with early-stage NSCLC who receive no treatment based on poor PS have a worse overall survival compared to the patients that receive treatment. Further investigation is required to assess what other criteria are used to decide treatment eligibility and whether these patients would be candidates for immunotherapy or targeted therapy in the future.
Atopic Dermatitis Oral Therapies: What Are Patients Learning on YouTube?
To the Editor:
Oral immunosuppressive therapies are prescribed for moderate to severe atopic dermatitis. Patients often consult YouTube to make informed decisions about these therapies. In the United States, most health-related online searches are initiated through a search engine, which frequently leads to social media sites such as YouTube. Recent studies have examined the reasons why users turn to the Internet for health-related information, indicating that users typically seek specific information regarding health concerns.1,2 Furthermore, social media platforms such as YouTube are a popular means of sharing health information with the public.3-5 Currently, YouTube has more than 1 billion registered users, and 30 million health-related videos are watched each day.6 Almost one-third of US consumers use YouTube, Facebook, and Twitter to obtain medical information.7 YouTube is a versatile tool because of its video-discovery mechanisms such as a keyword-based search engine, video-recommendation system, highlight feature for videos on home pages, and the capacity to embed YouTube videos on various web pages.8 Searchers use videos that are short, fast paced, emotion evoking, from credible sources, recently uploaded, and relevant to the searcher for aiding in health decisions.9 Furthermore, studies have demonstrated YouTube’s capacity to support a change in attitude and increase users’ knowledge. In fact, YouTube had higher impact on recall, attitudes, and behaviors when compared with written materials on other social media platforms, such as Facebook and Twitter.9 We conducted a cross-sectional study to examine the quality of YouTube videos on oral therapies for atopic dermatitis, such as cyclosporine, methotrexate, azathioprine, and mycophenolate mofetil.
On April 23, 2020, we performed 8 searches using a private browser with default filters on YouTube (Figure). Injectables were not included in the analysis, as the YouTube experience on dupilumab previously has been investigated.10 The top 40 videos from each search were screened by 3 researchers. Duplicates, non–English-language videos, and videos that did not discuss atopic dermatitis or oral therapies were excluded, resulting in 73 videos included in this analysis. Testimonials generated by patients made up 39 of 73 (53.4%) videos. Health care professionals created 23 of 73 (31.5%) videos, and educators with financial interest created 11 of 73 (15.1%) videos. The dates of production for the videos spanned from 2008 to 2020.
The major topics addressed in the videos were symptomatic changes (63 [68.8% of all topics discussed]), adverse effects (52 [67.5%]), and quality-of-life changes (37 [48.1%]). Of the videos included, the majority (42/73 [57.5%]) contained a neutral tone about the medication, citing advantages and disadvantages with therapy, while 22 of 73 (30.1%) had an encouraging tone, and 9 of 73 (12.3%) had a discouraging tone. Regarding videos with positive tones, there were 17 videos on cyclosporine, 9 on azathioprine, 7 on methotrexate, 4 on oral steroids, and 2 on mycophenolate mofetil. Regarding videos with negative tones, there were 4 on cyclosporine, 3 on azathioprine, 2 on methotrexate, and 2 on mycophenolate mofetil.
Of the videos made with financial interest, the majority (28/34 [77.8%]) were more suitable for informing health care providers rather than patients, containing jargon as well as complex information on clinical trials, dosing, and mechanisms of action. From the videos discussing clinical recommendations, there were 9 of 73 (12.3%) Grade A recommendations (eg, citing evidence-based information and clinical trials) and 64 of 73 (87.7%) Grade B recommendations (eg, anecdotal information on patient experience). Thirty-seven of 73 (50.7%) videos were evidence based, and 36 of 73 (49.3%) were non–evidence based. Six videos were patient-oriented news broadcasts.
Patient-generated testimonials had the most views (mean, 9238.4) and highest interaction ratio (the sum of likes, dislikes, and comments divided by the number of views)(mean, 0.027), while health care provider–generated videos had fewer views (mean, 9218.7) and a lower interaction ratio (mean, 0.011). Financial-based videos had 4233.4 views on average, with an average interaction ratio of 0.014. Based on these results, biased, patient-generated content comprised greater than 50% of YouTube videos about oral therapies for atopic dermatitis and was quite likely to be engaged with by users. Thus, these patient testimonials have great potential to affect decision-making.
The high number of patient-generated videos about oral therapies was consistent with prior studies of YouTube videos about therapies for numerous conditions.11-13 Dermatologists should consider utilizing YouTube for providing evidence-based, patient-oriented information about novel therapeutics. They may consider collaborating with patients to assist with their creation of YouTube videos and directing patients to credible resources by the American Academy of Dermatology and Canadian Dermatology Association for decision-making.
Importantly, this analysis is limited by its lack of quality-assessment tools for video-based resources such as JAMA score and DISCERN score.14,15 However, these metrics have limited ability to evaluate audiovisual elements, indicating the need for novel tools to score their validity.
- Fox S, Duggan M. Health online 2013. January 15, 2013. Accessed August 15, 2021. https://www.pewresearch.org/internet/2013/01/15/health-online-2013/
- Ní Ríordáin R, McCreary C. Dental patients’ use of the Internet. Br Dent J. 2009;207:583-586, 575.
- Fergie G, Hilton S, Hunt K. Young adults’ experiences of seeking online information about diabetes and mental health in the age of social media. Health Expect. 2016;19:1324-1335.
- Antheunis ML, Tates K, Nieboer TE. Patients’ and health professionals’ use of social media in health care: motives, barriers and expectations. Patient Educ Couns. 2013;92:426-431.
- McGregor F, Somner JE, Bourne RR, et al. Social media use by patients with glaucoma: what can we learn? Ophthalmic Physiol Opt. 2014;34:46-52.
- YouTube Statistics—15 Amazing Stats for 2015. Published April 30, 2015. Accessed August 27, 2021. YouTube.com/watch?v=9ZLBSPzY7GQ
- Health Research Institute. Social media “likes” healthcare: from marketing to social business. April 2012. Accessed August 15, 2021. https://www.pwc.com/us/en/health-industries/health-research-institute/publications/pdf/health-care-social-media-report.pdf
- Zhou R, Khemmarat S, Gao L, et al. How YouTube videos are discovered and its impact on videos views. Multimed Tools Appl. 2016;75:6035-6058.
- Haslam K, Doucette H, Hachey S, et al. YouTube videos as health decision aids for the public: an integrative review. Can J Dent Hyg. 2019;53:53-66.
- Pithadia D, Reynolds K, Lee E, et al. Dupilumab for atopic dermatitis: what are patients learning on YouTube [published online ahead of print April 16,2020]? J Dermatolog Treat. doi: 10.1080/09546634.2020.1755418
- Tolu S, Yurdakul OV, Basaran B, et al. English-language videos on YouTube as a source of information on self-administer subcutaneous anti-tumour necrosis factor agent injections. Rheumatol Int. 2018;38:1285-1292.
- Reynolds KA, Pithadia DJ, Lee EB, et al. A cross-sectional study of YouTube videos about psoriasis biologics. Int J Dermatol. 2019;58:E61-E62.
- Kocyigit BF, Akaltun MS. Does YouTube provide high quality information? assessment of secukinumab videos. Rheumatol Int. 2019;39:1263-1268.
- Qi J, Trang T, Doong J, et al. Misinformation is prevalent in psoriasis-related YouTube videos. Dermatol Online J. 2016;22:13030/qt7qc9z2m5
- Gokcen HB, Gumussuyu G. A quality analysis of disc herniation videos on YouTube. World Neurosurg. 2019;124:E799-E804.
To the Editor:
Oral immunosuppressive therapies are prescribed for moderate to severe atopic dermatitis. Patients often consult YouTube to make informed decisions about these therapies. In the United States, most health-related online searches are initiated through a search engine, which frequently leads to social media sites such as YouTube. Recent studies have examined the reasons why users turn to the Internet for health-related information, indicating that users typically seek specific information regarding health concerns.1,2 Furthermore, social media platforms such as YouTube are a popular means of sharing health information with the public.3-5 Currently, YouTube has more than 1 billion registered users, and 30 million health-related videos are watched each day.6 Almost one-third of US consumers use YouTube, Facebook, and Twitter to obtain medical information.7 YouTube is a versatile tool because of its video-discovery mechanisms such as a keyword-based search engine, video-recommendation system, highlight feature for videos on home pages, and the capacity to embed YouTube videos on various web pages.8 Searchers use videos that are short, fast paced, emotion evoking, from credible sources, recently uploaded, and relevant to the searcher for aiding in health decisions.9 Furthermore, studies have demonstrated YouTube’s capacity to support a change in attitude and increase users’ knowledge. In fact, YouTube had higher impact on recall, attitudes, and behaviors when compared with written materials on other social media platforms, such as Facebook and Twitter.9 We conducted a cross-sectional study to examine the quality of YouTube videos on oral therapies for atopic dermatitis, such as cyclosporine, methotrexate, azathioprine, and mycophenolate mofetil.
On April 23, 2020, we performed 8 searches using a private browser with default filters on YouTube (Figure). Injectables were not included in the analysis, as the YouTube experience on dupilumab previously has been investigated.10 The top 40 videos from each search were screened by 3 researchers. Duplicates, non–English-language videos, and videos that did not discuss atopic dermatitis or oral therapies were excluded, resulting in 73 videos included in this analysis. Testimonials generated by patients made up 39 of 73 (53.4%) videos. Health care professionals created 23 of 73 (31.5%) videos, and educators with financial interest created 11 of 73 (15.1%) videos. The dates of production for the videos spanned from 2008 to 2020.
The major topics addressed in the videos were symptomatic changes (63 [68.8% of all topics discussed]), adverse effects (52 [67.5%]), and quality-of-life changes (37 [48.1%]). Of the videos included, the majority (42/73 [57.5%]) contained a neutral tone about the medication, citing advantages and disadvantages with therapy, while 22 of 73 (30.1%) had an encouraging tone, and 9 of 73 (12.3%) had a discouraging tone. Regarding videos with positive tones, there were 17 videos on cyclosporine, 9 on azathioprine, 7 on methotrexate, 4 on oral steroids, and 2 on mycophenolate mofetil. Regarding videos with negative tones, there were 4 on cyclosporine, 3 on azathioprine, 2 on methotrexate, and 2 on mycophenolate mofetil.
Of the videos made with financial interest, the majority (28/34 [77.8%]) were more suitable for informing health care providers rather than patients, containing jargon as well as complex information on clinical trials, dosing, and mechanisms of action. From the videos discussing clinical recommendations, there were 9 of 73 (12.3%) Grade A recommendations (eg, citing evidence-based information and clinical trials) and 64 of 73 (87.7%) Grade B recommendations (eg, anecdotal information on patient experience). Thirty-seven of 73 (50.7%) videos were evidence based, and 36 of 73 (49.3%) were non–evidence based. Six videos were patient-oriented news broadcasts.
Patient-generated testimonials had the most views (mean, 9238.4) and highest interaction ratio (the sum of likes, dislikes, and comments divided by the number of views)(mean, 0.027), while health care provider–generated videos had fewer views (mean, 9218.7) and a lower interaction ratio (mean, 0.011). Financial-based videos had 4233.4 views on average, with an average interaction ratio of 0.014. Based on these results, biased, patient-generated content comprised greater than 50% of YouTube videos about oral therapies for atopic dermatitis and was quite likely to be engaged with by users. Thus, these patient testimonials have great potential to affect decision-making.
The high number of patient-generated videos about oral therapies was consistent with prior studies of YouTube videos about therapies for numerous conditions.11-13 Dermatologists should consider utilizing YouTube for providing evidence-based, patient-oriented information about novel therapeutics. They may consider collaborating with patients to assist with their creation of YouTube videos and directing patients to credible resources by the American Academy of Dermatology and Canadian Dermatology Association for decision-making.
Importantly, this analysis is limited by its lack of quality-assessment tools for video-based resources such as JAMA score and DISCERN score.14,15 However, these metrics have limited ability to evaluate audiovisual elements, indicating the need for novel tools to score their validity.
To the Editor:
Oral immunosuppressive therapies are prescribed for moderate to severe atopic dermatitis. Patients often consult YouTube to make informed decisions about these therapies. In the United States, most health-related online searches are initiated through a search engine, which frequently leads to social media sites such as YouTube. Recent studies have examined the reasons why users turn to the Internet for health-related information, indicating that users typically seek specific information regarding health concerns.1,2 Furthermore, social media platforms such as YouTube are a popular means of sharing health information with the public.3-5 Currently, YouTube has more than 1 billion registered users, and 30 million health-related videos are watched each day.6 Almost one-third of US consumers use YouTube, Facebook, and Twitter to obtain medical information.7 YouTube is a versatile tool because of its video-discovery mechanisms such as a keyword-based search engine, video-recommendation system, highlight feature for videos on home pages, and the capacity to embed YouTube videos on various web pages.8 Searchers use videos that are short, fast paced, emotion evoking, from credible sources, recently uploaded, and relevant to the searcher for aiding in health decisions.9 Furthermore, studies have demonstrated YouTube’s capacity to support a change in attitude and increase users’ knowledge. In fact, YouTube had higher impact on recall, attitudes, and behaviors when compared with written materials on other social media platforms, such as Facebook and Twitter.9 We conducted a cross-sectional study to examine the quality of YouTube videos on oral therapies for atopic dermatitis, such as cyclosporine, methotrexate, azathioprine, and mycophenolate mofetil.
On April 23, 2020, we performed 8 searches using a private browser with default filters on YouTube (Figure). Injectables were not included in the analysis, as the YouTube experience on dupilumab previously has been investigated.10 The top 40 videos from each search were screened by 3 researchers. Duplicates, non–English-language videos, and videos that did not discuss atopic dermatitis or oral therapies were excluded, resulting in 73 videos included in this analysis. Testimonials generated by patients made up 39 of 73 (53.4%) videos. Health care professionals created 23 of 73 (31.5%) videos, and educators with financial interest created 11 of 73 (15.1%) videos. The dates of production for the videos spanned from 2008 to 2020.
The major topics addressed in the videos were symptomatic changes (63 [68.8% of all topics discussed]), adverse effects (52 [67.5%]), and quality-of-life changes (37 [48.1%]). Of the videos included, the majority (42/73 [57.5%]) contained a neutral tone about the medication, citing advantages and disadvantages with therapy, while 22 of 73 (30.1%) had an encouraging tone, and 9 of 73 (12.3%) had a discouraging tone. Regarding videos with positive tones, there were 17 videos on cyclosporine, 9 on azathioprine, 7 on methotrexate, 4 on oral steroids, and 2 on mycophenolate mofetil. Regarding videos with negative tones, there were 4 on cyclosporine, 3 on azathioprine, 2 on methotrexate, and 2 on mycophenolate mofetil.
Of the videos made with financial interest, the majority (28/34 [77.8%]) were more suitable for informing health care providers rather than patients, containing jargon as well as complex information on clinical trials, dosing, and mechanisms of action. From the videos discussing clinical recommendations, there were 9 of 73 (12.3%) Grade A recommendations (eg, citing evidence-based information and clinical trials) and 64 of 73 (87.7%) Grade B recommendations (eg, anecdotal information on patient experience). Thirty-seven of 73 (50.7%) videos were evidence based, and 36 of 73 (49.3%) were non–evidence based. Six videos were patient-oriented news broadcasts.
Patient-generated testimonials had the most views (mean, 9238.4) and highest interaction ratio (the sum of likes, dislikes, and comments divided by the number of views)(mean, 0.027), while health care provider–generated videos had fewer views (mean, 9218.7) and a lower interaction ratio (mean, 0.011). Financial-based videos had 4233.4 views on average, with an average interaction ratio of 0.014. Based on these results, biased, patient-generated content comprised greater than 50% of YouTube videos about oral therapies for atopic dermatitis and was quite likely to be engaged with by users. Thus, these patient testimonials have great potential to affect decision-making.
The high number of patient-generated videos about oral therapies was consistent with prior studies of YouTube videos about therapies for numerous conditions.11-13 Dermatologists should consider utilizing YouTube for providing evidence-based, patient-oriented information about novel therapeutics. They may consider collaborating with patients to assist with their creation of YouTube videos and directing patients to credible resources by the American Academy of Dermatology and Canadian Dermatology Association for decision-making.
Importantly, this analysis is limited by its lack of quality-assessment tools for video-based resources such as JAMA score and DISCERN score.14,15 However, these metrics have limited ability to evaluate audiovisual elements, indicating the need for novel tools to score their validity.
- Fox S, Duggan M. Health online 2013. January 15, 2013. Accessed August 15, 2021. https://www.pewresearch.org/internet/2013/01/15/health-online-2013/
- Ní Ríordáin R, McCreary C. Dental patients’ use of the Internet. Br Dent J. 2009;207:583-586, 575.
- Fergie G, Hilton S, Hunt K. Young adults’ experiences of seeking online information about diabetes and mental health in the age of social media. Health Expect. 2016;19:1324-1335.
- Antheunis ML, Tates K, Nieboer TE. Patients’ and health professionals’ use of social media in health care: motives, barriers and expectations. Patient Educ Couns. 2013;92:426-431.
- McGregor F, Somner JE, Bourne RR, et al. Social media use by patients with glaucoma: what can we learn? Ophthalmic Physiol Opt. 2014;34:46-52.
- YouTube Statistics—15 Amazing Stats for 2015. Published April 30, 2015. Accessed August 27, 2021. YouTube.com/watch?v=9ZLBSPzY7GQ
- Health Research Institute. Social media “likes” healthcare: from marketing to social business. April 2012. Accessed August 15, 2021. https://www.pwc.com/us/en/health-industries/health-research-institute/publications/pdf/health-care-social-media-report.pdf
- Zhou R, Khemmarat S, Gao L, et al. How YouTube videos are discovered and its impact on videos views. Multimed Tools Appl. 2016;75:6035-6058.
- Haslam K, Doucette H, Hachey S, et al. YouTube videos as health decision aids for the public: an integrative review. Can J Dent Hyg. 2019;53:53-66.
- Pithadia D, Reynolds K, Lee E, et al. Dupilumab for atopic dermatitis: what are patients learning on YouTube [published online ahead of print April 16,2020]? J Dermatolog Treat. doi: 10.1080/09546634.2020.1755418
- Tolu S, Yurdakul OV, Basaran B, et al. English-language videos on YouTube as a source of information on self-administer subcutaneous anti-tumour necrosis factor agent injections. Rheumatol Int. 2018;38:1285-1292.
- Reynolds KA, Pithadia DJ, Lee EB, et al. A cross-sectional study of YouTube videos about psoriasis biologics. Int J Dermatol. 2019;58:E61-E62.
- Kocyigit BF, Akaltun MS. Does YouTube provide high quality information? assessment of secukinumab videos. Rheumatol Int. 2019;39:1263-1268.
- Qi J, Trang T, Doong J, et al. Misinformation is prevalent in psoriasis-related YouTube videos. Dermatol Online J. 2016;22:13030/qt7qc9z2m5
- Gokcen HB, Gumussuyu G. A quality analysis of disc herniation videos on YouTube. World Neurosurg. 2019;124:E799-E804.
- Fox S, Duggan M. Health online 2013. January 15, 2013. Accessed August 15, 2021. https://www.pewresearch.org/internet/2013/01/15/health-online-2013/
- Ní Ríordáin R, McCreary C. Dental patients’ use of the Internet. Br Dent J. 2009;207:583-586, 575.
- Fergie G, Hilton S, Hunt K. Young adults’ experiences of seeking online information about diabetes and mental health in the age of social media. Health Expect. 2016;19:1324-1335.
- Antheunis ML, Tates K, Nieboer TE. Patients’ and health professionals’ use of social media in health care: motives, barriers and expectations. Patient Educ Couns. 2013;92:426-431.
- McGregor F, Somner JE, Bourne RR, et al. Social media use by patients with glaucoma: what can we learn? Ophthalmic Physiol Opt. 2014;34:46-52.
- YouTube Statistics—15 Amazing Stats for 2015. Published April 30, 2015. Accessed August 27, 2021. YouTube.com/watch?v=9ZLBSPzY7GQ
- Health Research Institute. Social media “likes” healthcare: from marketing to social business. April 2012. Accessed August 15, 2021. https://www.pwc.com/us/en/health-industries/health-research-institute/publications/pdf/health-care-social-media-report.pdf
- Zhou R, Khemmarat S, Gao L, et al. How YouTube videos are discovered and its impact on videos views. Multimed Tools Appl. 2016;75:6035-6058.
- Haslam K, Doucette H, Hachey S, et al. YouTube videos as health decision aids for the public: an integrative review. Can J Dent Hyg. 2019;53:53-66.
- Pithadia D, Reynolds K, Lee E, et al. Dupilumab for atopic dermatitis: what are patients learning on YouTube [published online ahead of print April 16,2020]? J Dermatolog Treat. doi: 10.1080/09546634.2020.1755418
- Tolu S, Yurdakul OV, Basaran B, et al. English-language videos on YouTube as a source of information on self-administer subcutaneous anti-tumour necrosis factor agent injections. Rheumatol Int. 2018;38:1285-1292.
- Reynolds KA, Pithadia DJ, Lee EB, et al. A cross-sectional study of YouTube videos about psoriasis biologics. Int J Dermatol. 2019;58:E61-E62.
- Kocyigit BF, Akaltun MS. Does YouTube provide high quality information? assessment of secukinumab videos. Rheumatol Int. 2019;39:1263-1268.
- Qi J, Trang T, Doong J, et al. Misinformation is prevalent in psoriasis-related YouTube videos. Dermatol Online J. 2016;22:13030/qt7qc9z2m5
- Gokcen HB, Gumussuyu G. A quality analysis of disc herniation videos on YouTube. World Neurosurg. 2019;124:E799-E804.
Practice Points
- Patient-based YouTube videos comprised the majority of videos on oral therapies for atopic dermatitis, with the greatest views and interaction ratio.
- Most YouTube videos on this topic contained a neutral tone and Grade B recommendations, thus meriting production of more evidence-based videos in collaboration with patients on the YouTube platform.
Atopic Dermatitis Topical Therapies: Study of YouTube Videos as a Source of Patient Information
To the Editor:
Atopic dermatitis (eczema) affects approximately 20% of children worldwide.1 In atopic dermatitis management, patient education is crucial for optimal outcomes.2 The COVID-19 pandemic has impacted patient-physician interactions. To ensure safety of patients and physicians, visits may have been canceled, postponed, or conducted virtually, leaving less time for discussion and questions.3 As a consequence, patients may seek information about atopic dermatitis from alternative sources, including YouTube videos. We performed a cross-sectional study to analyze YouTube videos about topical treatments for atopic dermatitis.
During the week of July 16, 2020, we performed 4 private browser YouTube searches with default filters using the following terms: eczema topicals, eczema topical treatments, atopic dermatitis topicals, and atopic dermatitis topical treatments. For video selection, we defined topical treatments as topical corticosteroids, topical calcineurin inhibitors, crisaborole, emollients, wet wraps, and any prospective treatment topically administered. For each of the 4 searches, 2 researchers (A.M. and A.T.) independently examined the top 75 videos, yielding a total of 300 videos. Of them, 98 videos were duplicates, 19 videos were not about atopic dermatitis, and 91 videos were not about topical treatments, leaving a total of 92 videos for analysis (Figure 1).
For the 92 included videos, the length; upload year; number of views, likes, dislikes, and comments; interaction ratio (IR)(the sum of likes, dislikes, and comments divided by the number of views); and video content were determined. The videos were placed into mutually exclusive categories as follows: (1) patient experience, defined as a video about patient perspective; (2) professional source, defined as a video featuring a physician, physician extender, pharmacist, or scientist, or produced by a formal organization; or (3) other. The DISCERN Instrument was used for grading the reliability and quality of the 92 included videos. This instrument consists of 16 questions with the responses rated on a scale of 1 to 5.4 For analysis of DISCERN scores, patient experience and other videos were grouped together as nonprofessional source videos. A 2-sample t-test was used to compare DISCERN scores between professional source and nonprofessional source videos.
Most videos were uploaded in 2017 (n=19), 2018 (n=23), and 2019 (n=25), but 20 were uploaded in 2012-2016 and 5 were uploaded in 2020. The 92 videos had a mean length of 8 minutes and 35 seconds (range, 30 seconds to 62 minutes and 23 seconds).
Patient experience videos accounted for 23.9% (n=22) of videos. These videos discussed topical steroid withdrawal (TSW)(n=16), instructions for making emollients (n=2), and treatment successes (n=4). Professional source videos represented 67.4% (n=62) of videos. Of them, 40.3% (n=25) were physician oriented, defined as having extensive medical terminology or qualifying for continuing medical education credit. Three (4.8%) of the professional source videos were sponsored by a drug company. Other constituted the remaining 8.7% (n=8) of videos. Patient experience videos had more views (median views [interquartile range], 6865 [10,307]) and higher engagement (median IR [interquartile range], 0.038 [0.022]) than professional source videos (views: median views [interquartile range], 1052.5 [10,610.5]; engagement: median IR [interquartile range], 0.006 [0.008]).
Although less popular, professional source videos had a significantly higher DISCERN overall quality rating score (question 16) compared to those categorized as nonprofessional source (3.92 vs 1.53; P<.001). In contrast, nonprofessional source videos scored significantly higher on the quality-of-life question (question 13) compared to professional source videos (3.90 vs 2.56; P<.001)(eTable). (Three professional source videos were removed from YouTube before DISCERN scores could be assigned.)
Notably, 20.7% (n=19) of the 92 videos discussed TSW, and most of them were patient experiences (n=16). Other categories included topical steroids excluding TSW (n=11), steroid phobia (n=2), topical calcineurin inhibitors (n=2), crisaborole (n=6), news broadcast (n=7), wet wraps (n=5), product advertisement (n=7), and research (n=11)(Figure 2). Interestingly, there were no videos focusing on the calcineurin inhibitor black box warning.
Similar to prior studies, our results indicate preference for patient-generated videos over videos produced by or including a professional source.5 Additionally, only 3 of 19 videos about TSW were from a professional source, increasing the potential for patient misconceptions about topical corticosteroids. Future studies should examine the educational impact of patient-generated videos as well as features that make the patient experience videos more desirable for viewing.
- Mueller SM, Hongler VNS, Jungo P, et al. Fiction, falsehoods, and few facts: cross-sectional study on the content-related quality of atopic eczema-related videos on YouTube. J Med Internet Res. 2020;22:e15599. doi:10.2196/15599
- Torres T, Ferreira EO, Gonçalo M, et al. Update on atopic dermatitis. Acta Med Port. 2019;32:606-613. doi:10.20344/amp.11963
- Vogler SA, Lightner AL. Rethinking how we care for our patients in a time of social distancing during the COVID-19 pandemic. Br J Surg. 2020;107:937-939. doi:10.1002/bjs.11636
- The DISCERN Instrument. discern online. Accessed January 22, 2021. http://www.discern.org.uk/discern_instrument.php
- Pithadia DJ, Reynolds KA, Lee EB, et al. Dupilumab for atopic dermatitis: what are patients learning on YouTube? [published online April 16, 2020]. J Dermatolog Treat. doi:10.1080/09546634.2020.1755418
To the Editor:
Atopic dermatitis (eczema) affects approximately 20% of children worldwide.1 In atopic dermatitis management, patient education is crucial for optimal outcomes.2 The COVID-19 pandemic has impacted patient-physician interactions. To ensure safety of patients and physicians, visits may have been canceled, postponed, or conducted virtually, leaving less time for discussion and questions.3 As a consequence, patients may seek information about atopic dermatitis from alternative sources, including YouTube videos. We performed a cross-sectional study to analyze YouTube videos about topical treatments for atopic dermatitis.
During the week of July 16, 2020, we performed 4 private browser YouTube searches with default filters using the following terms: eczema topicals, eczema topical treatments, atopic dermatitis topicals, and atopic dermatitis topical treatments. For video selection, we defined topical treatments as topical corticosteroids, topical calcineurin inhibitors, crisaborole, emollients, wet wraps, and any prospective treatment topically administered. For each of the 4 searches, 2 researchers (A.M. and A.T.) independently examined the top 75 videos, yielding a total of 300 videos. Of them, 98 videos were duplicates, 19 videos were not about atopic dermatitis, and 91 videos were not about topical treatments, leaving a total of 92 videos for analysis (Figure 1).
For the 92 included videos, the length; upload year; number of views, likes, dislikes, and comments; interaction ratio (IR)(the sum of likes, dislikes, and comments divided by the number of views); and video content were determined. The videos were placed into mutually exclusive categories as follows: (1) patient experience, defined as a video about patient perspective; (2) professional source, defined as a video featuring a physician, physician extender, pharmacist, or scientist, or produced by a formal organization; or (3) other. The DISCERN Instrument was used for grading the reliability and quality of the 92 included videos. This instrument consists of 16 questions with the responses rated on a scale of 1 to 5.4 For analysis of DISCERN scores, patient experience and other videos were grouped together as nonprofessional source videos. A 2-sample t-test was used to compare DISCERN scores between professional source and nonprofessional source videos.
Most videos were uploaded in 2017 (n=19), 2018 (n=23), and 2019 (n=25), but 20 were uploaded in 2012-2016 and 5 were uploaded in 2020. The 92 videos had a mean length of 8 minutes and 35 seconds (range, 30 seconds to 62 minutes and 23 seconds).
Patient experience videos accounted for 23.9% (n=22) of videos. These videos discussed topical steroid withdrawal (TSW)(n=16), instructions for making emollients (n=2), and treatment successes (n=4). Professional source videos represented 67.4% (n=62) of videos. Of them, 40.3% (n=25) were physician oriented, defined as having extensive medical terminology or qualifying for continuing medical education credit. Three (4.8%) of the professional source videos were sponsored by a drug company. Other constituted the remaining 8.7% (n=8) of videos. Patient experience videos had more views (median views [interquartile range], 6865 [10,307]) and higher engagement (median IR [interquartile range], 0.038 [0.022]) than professional source videos (views: median views [interquartile range], 1052.5 [10,610.5]; engagement: median IR [interquartile range], 0.006 [0.008]).
Although less popular, professional source videos had a significantly higher DISCERN overall quality rating score (question 16) compared to those categorized as nonprofessional source (3.92 vs 1.53; P<.001). In contrast, nonprofessional source videos scored significantly higher on the quality-of-life question (question 13) compared to professional source videos (3.90 vs 2.56; P<.001)(eTable). (Three professional source videos were removed from YouTube before DISCERN scores could be assigned.)
Notably, 20.7% (n=19) of the 92 videos discussed TSW, and most of them were patient experiences (n=16). Other categories included topical steroids excluding TSW (n=11), steroid phobia (n=2), topical calcineurin inhibitors (n=2), crisaborole (n=6), news broadcast (n=7), wet wraps (n=5), product advertisement (n=7), and research (n=11)(Figure 2). Interestingly, there were no videos focusing on the calcineurin inhibitor black box warning.
Similar to prior studies, our results indicate preference for patient-generated videos over videos produced by or including a professional source.5 Additionally, only 3 of 19 videos about TSW were from a professional source, increasing the potential for patient misconceptions about topical corticosteroids. Future studies should examine the educational impact of patient-generated videos as well as features that make the patient experience videos more desirable for viewing.
To the Editor:
Atopic dermatitis (eczema) affects approximately 20% of children worldwide.1 In atopic dermatitis management, patient education is crucial for optimal outcomes.2 The COVID-19 pandemic has impacted patient-physician interactions. To ensure safety of patients and physicians, visits may have been canceled, postponed, or conducted virtually, leaving less time for discussion and questions.3 As a consequence, patients may seek information about atopic dermatitis from alternative sources, including YouTube videos. We performed a cross-sectional study to analyze YouTube videos about topical treatments for atopic dermatitis.
During the week of July 16, 2020, we performed 4 private browser YouTube searches with default filters using the following terms: eczema topicals, eczema topical treatments, atopic dermatitis topicals, and atopic dermatitis topical treatments. For video selection, we defined topical treatments as topical corticosteroids, topical calcineurin inhibitors, crisaborole, emollients, wet wraps, and any prospective treatment topically administered. For each of the 4 searches, 2 researchers (A.M. and A.T.) independently examined the top 75 videos, yielding a total of 300 videos. Of them, 98 videos were duplicates, 19 videos were not about atopic dermatitis, and 91 videos were not about topical treatments, leaving a total of 92 videos for analysis (Figure 1).
For the 92 included videos, the length; upload year; number of views, likes, dislikes, and comments; interaction ratio (IR)(the sum of likes, dislikes, and comments divided by the number of views); and video content were determined. The videos were placed into mutually exclusive categories as follows: (1) patient experience, defined as a video about patient perspective; (2) professional source, defined as a video featuring a physician, physician extender, pharmacist, or scientist, or produced by a formal organization; or (3) other. The DISCERN Instrument was used for grading the reliability and quality of the 92 included videos. This instrument consists of 16 questions with the responses rated on a scale of 1 to 5.4 For analysis of DISCERN scores, patient experience and other videos were grouped together as nonprofessional source videos. A 2-sample t-test was used to compare DISCERN scores between professional source and nonprofessional source videos.
Most videos were uploaded in 2017 (n=19), 2018 (n=23), and 2019 (n=25), but 20 were uploaded in 2012-2016 and 5 were uploaded in 2020. The 92 videos had a mean length of 8 minutes and 35 seconds (range, 30 seconds to 62 minutes and 23 seconds).
Patient experience videos accounted for 23.9% (n=22) of videos. These videos discussed topical steroid withdrawal (TSW)(n=16), instructions for making emollients (n=2), and treatment successes (n=4). Professional source videos represented 67.4% (n=62) of videos. Of them, 40.3% (n=25) were physician oriented, defined as having extensive medical terminology or qualifying for continuing medical education credit. Three (4.8%) of the professional source videos were sponsored by a drug company. Other constituted the remaining 8.7% (n=8) of videos. Patient experience videos had more views (median views [interquartile range], 6865 [10,307]) and higher engagement (median IR [interquartile range], 0.038 [0.022]) than professional source videos (views: median views [interquartile range], 1052.5 [10,610.5]; engagement: median IR [interquartile range], 0.006 [0.008]).
Although less popular, professional source videos had a significantly higher DISCERN overall quality rating score (question 16) compared to those categorized as nonprofessional source (3.92 vs 1.53; P<.001). In contrast, nonprofessional source videos scored significantly higher on the quality-of-life question (question 13) compared to professional source videos (3.90 vs 2.56; P<.001)(eTable). (Three professional source videos were removed from YouTube before DISCERN scores could be assigned.)
Notably, 20.7% (n=19) of the 92 videos discussed TSW, and most of them were patient experiences (n=16). Other categories included topical steroids excluding TSW (n=11), steroid phobia (n=2), topical calcineurin inhibitors (n=2), crisaborole (n=6), news broadcast (n=7), wet wraps (n=5), product advertisement (n=7), and research (n=11)(Figure 2). Interestingly, there were no videos focusing on the calcineurin inhibitor black box warning.
Similar to prior studies, our results indicate preference for patient-generated videos over videos produced by or including a professional source.5 Additionally, only 3 of 19 videos about TSW were from a professional source, increasing the potential for patient misconceptions about topical corticosteroids. Future studies should examine the educational impact of patient-generated videos as well as features that make the patient experience videos more desirable for viewing.
- Mueller SM, Hongler VNS, Jungo P, et al. Fiction, falsehoods, and few facts: cross-sectional study on the content-related quality of atopic eczema-related videos on YouTube. J Med Internet Res. 2020;22:e15599. doi:10.2196/15599
- Torres T, Ferreira EO, Gonçalo M, et al. Update on atopic dermatitis. Acta Med Port. 2019;32:606-613. doi:10.20344/amp.11963
- Vogler SA, Lightner AL. Rethinking how we care for our patients in a time of social distancing during the COVID-19 pandemic. Br J Surg. 2020;107:937-939. doi:10.1002/bjs.11636
- The DISCERN Instrument. discern online. Accessed January 22, 2021. http://www.discern.org.uk/discern_instrument.php
- Pithadia DJ, Reynolds KA, Lee EB, et al. Dupilumab for atopic dermatitis: what are patients learning on YouTube? [published online April 16, 2020]. J Dermatolog Treat. doi:10.1080/09546634.2020.1755418
- Mueller SM, Hongler VNS, Jungo P, et al. Fiction, falsehoods, and few facts: cross-sectional study on the content-related quality of atopic eczema-related videos on YouTube. J Med Internet Res. 2020;22:e15599. doi:10.2196/15599
- Torres T, Ferreira EO, Gonçalo M, et al. Update on atopic dermatitis. Acta Med Port. 2019;32:606-613. doi:10.20344/amp.11963
- Vogler SA, Lightner AL. Rethinking how we care for our patients in a time of social distancing during the COVID-19 pandemic. Br J Surg. 2020;107:937-939. doi:10.1002/bjs.11636
- The DISCERN Instrument. discern online. Accessed January 22, 2021. http://www.discern.org.uk/discern_instrument.php
- Pithadia DJ, Reynolds KA, Lee EB, et al. Dupilumab for atopic dermatitis: what are patients learning on YouTube? [published online April 16, 2020]. J Dermatolog Treat. doi:10.1080/09546634.2020.1755418
Practice Points
- YouTube is a readily accessible resource for educating patients about topical treatments for atopic dermatitis.
- Although professional source videos comprised a larger percentage of the videos included within our study, patient experience videos had a higher number of views and engagement.
- Twenty-one percent (19/92) of the videos examined in our study discussed topical steroid withdrawal, and the majority of them were patient experience videos.