Veterans Health Administration Clinics Research Articles

Internal Medicine Resident Addiction Training at the Veteran's Health Administration: A Qualitative Evaluation of Site Directors' Response to the 2022 ACGME Requirements.

Substance use disorders (SUDs) are prevalent in the USA yet remain dramatically undertreated. To address this care gap, the Accreditation Council for Graduate Medical Education (ACGME) approved revisions to the Program Requirements for Graduate Medical Education (GME) in Internal Medicine, effective July 1, 2022, requiring addiction medicine training for all internal medicine (IM) residents. The Veterans Health Administration (VHA) is a clinical training site for many academic institutions that sponsor IM residencies. This focus group project evaluated VHA IM residency site directors' perspectives about providing addiction medical education within VHA IM training sites. To better understand the current state, barriers to, and facilitators of IM resident addiction medicine training at VHA sites. This was a qualitative evaluation based on semi-structured video-based focus groups. Participants were VHA IM site directors based at a VHA hospital or clinic throughout the USA. Focus groups were conducted using a semi-structured group interview guide. Two investigators coded each focus group independently, then met to create a final adjudicated coding scheme. Thematic analysis was used to identify key themes. Forty-three participants from 38 VHA sites participated in four focus groups (average size: 11 participants). Six themes were identified within four pre-defined categories. Current state of training: most VHA sites offered no formal training in addiction medicine for IM residents. Barriers: addiction experts are often located outside of IM settings, and ACGME requirements were non-specific. Facilitators: clinical champions help support addiction training. Desired next steps: participants desired incentives to train or hire local champions and a pre-packaged didactic curriculum. Developing competent clinical champions and leveraging VHA addiction specialists from non-IM settings would create more addiction training opportunities for IM trainees at VHA sites. These insights can likely be applied to IM training at non-VHA sites.

The Military Health History: An Educational Initiative to Improve Veteran Healthcare.

As a result of the nature of military service, veterans are a unique patient population with many special health considerations. For various reasons, measures are often not taken by clinicians to address such special considerations. This results in a healthcare disparity for veterans first described by Dr. Jeffrey Brown in 2012. To address this disparity, we introduced "the military health history" to third-year medical students at a large medical school in the southeastern United States. Our objective was to assess the effectiveness of this educational intervention and determine its potential role in creating a future in which veteran healthcare is of the highest quality. This study was approved as a quality assurance/quality improvement project by both Louisiana State University Health Science Center and Southeast Louisiana Veteran Healthcare System IRB offices. A short lecture outlining the components of the military health history was presented to 186 third-year medical students. The students were given the opportunity to answer five survey questions before and after the lecture. These questions assessed the students' current confidence performing a military health history, perceived importance of doing so, and likelihood of future implementation. To determine useful retention of the lecture material, the post-lecture survey was readministered to the same population sample 6 months after the lecture. A series of repeated measures analyses of variance were conducted to examine changes in mean levels of confidence, importance, and likelihood of ascertaining military history during a patient encounter at pre- and post-presentation as well as at the 6 month follow-up. Results revealed a significant effect of time on importance, Wilks' Lambda = 0.74, F (2, 87) = 15.41, P < 0.001; confidence, Wilks' Lambda = 0.61, F (2, 87) = 27.58, P < 0.001; and likelihood of ascertaining a military history during a future patient encounter, Wilks' Lambda = 0.46, F (2, 88) = 50.58, P < 0.001. Results are demonstrated in detail in Table I of the manuscript. The lecture resulted in a statistically significant increase over 6 months in both the likelihood and confidence parameters. The team believes that this result indicates that the students demonstrated useful retention of the lecture material. Our hope is that these students continue to employ the military health history throughout their years of clinical work. In the future, we plan to survey veterans immediately following Veterans Health Administration clinic visits with members of our study population to assess the patient's perceived benefit of the military health history. The team will continue to investigate ways in which military health curricula can be implemented in undergraduate medical education.

The Teledermatology Experience: Cost Savings and Image Quality Control.

Introduction: Teledermatology adoption continues to increase, in part, spurred by the COVID-19 pandemic. This study analyzes the utility and cost savings of a store-and-forward teledermatology consultative system within the Veterans Health Administration (VA). Methods: Retrospective cohort of 4,493 patients across 14 remote sites in Tennessee and Kentucky from May 2017 through August 2019. The study measured the agreement between the teledermatology diagnoses and follow-up face-to-face clinic evaluations as well as the cost effectiveness of the teledermatology program over the study period. Results: Fifty-four percent of patients were recommended for face-to-face appointment for biopsy or further evaluation. Most patients, 80.5% received their face-to-face care by a VA dermatologist. There was a high level of concordance between teledermatologist and clinic dermatologist for pre-malignant and malignant cutaneous conditions. Veterans were seen faster at a VA clinic compared with a community dermatology site. Image quality improved as photographers incorporated teledermatologist feedback. From a cost perspective, teledermatology saved the VA system $1,076,000 in community care costs. Discussion: Teledermatology is a useful diagnostic tool within the VA system providing Veteran care at a cost savings.

Treatment of posttraumatic stress disorder with prolonged exposure for primary care (PE-PC): Effectiveness and patient and therapist factors related to symptom change and retention.

Prolonged exposure (PE) is a first-line treatment for posttraumatic stress disorder (PTSD) available in specialty mental health. PE for primary care (PE-PC) is a brief version of PE adapted for primary care mental health integration, composed of four-eight, 30-min sessions. Using retrospective data of PE-PC training cases from 155 Veterans Health Administration (VHA) providers in 99 VHA clinics who participated in a 4- to 6-month PE-PC training and consultation program, we examined patients' PTSD and depression severity across sessions via mixed effects multilevel linear modeling. Additionally, hierarchical logistic regression analysis was conducted to assess predictors of treatment dropout. Among 737 veterans, medium-to-large reductions in PTSD (intent-to-treat, Cohen's d = 0.63; completers, Cohen's d = 0.79) and small-to-medium reductions in depression (intent-to-treat, Cohen's d = 0.40; completers, Cohen's d = 0.51) were observed. The modal number of PE-PC sessions was five (SD = 1.98). Providers previously trained in both PE and cognitive processing therapy (CPT) were more likely than providers who were not trained in either PE or CPT to have veterans complete PE-PC (OR = 1.54). Veterans with military sexual trauma were less likely to complete PE-PC than veterans with combat trauma (OR = 0.42). Asian American and Pacific Islander veterans were more likely than White veterans to complete treatment (OR = 2.93). Older veterans were more likely than younger veterans to complete treatment (OR = 1.11). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

An examination of individual and organizational theory in a pilot virtual facilitated learning collaborative to implement written exposure therapy.

Participant training alone is typically insufficient to ensure adoption of a new treatment. This study provides preliminary data on a pilot program that implemented written exposure therapy (WET) through a virtual facilitated learning collaborative (VFLC) that combined clinician training with implementation support. Ninety-five mental health clinicians from Veterans Health Administration clinics enrolled in the VFLC. Clinicians received 6 hr of training in WET plus weekly group consultation on training cases for 12-16 weeks. Clinic leaders participated in monthly group calls with facilitators to develop and track implementation plans, address barriers, and share resources. Clinicians completed the Perceived Characteristics of Intervention Scale and Implementation Climate Scale before training and after consultation, and the Intention Scale for providers after the program. Clinicians' positive perceptions of WET increased over time, t(85) = -8.80, p < .001, d = 0.95, and changes were moderated by how much reduction in symptoms their patients experienced, t(151) = -2.13, p = .035. The implementation climate for WET also improved over time, t(85) = -3.55, p < .001, d = 0.36. Consistent with the theory of planned behavior, clinicians' intention to continue using WET after training was influenced by their perceptions and attitudes about WET, subjective norms, and perceived behavioral control. The VFLC model was feasible and associated with increases in clinicians' and leaders' support for using WET. Patient outcomes predicted the amount of change in clinicians' perceptions about WET. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Electronic Population-Based Depression Detection and Management Through Universal Screening in the Veterans Health Administration

In 2016, the US Preventive Services Task Force newly recommended universal screening for depression, with the expectation that screening would be associated with appropriate treatment. Few studies have been able to assess the population-based trajectory from screening to receipt of follow-up and treatment for individuals with depression. To examine adherence to guidelines for follow-up and treatment among primary care patients who newly screened positive for depression in the Veterans Health Administration (VA). This retrospective cohort study used VA electronic data to identify patients who newly screened positive for depression on the 2-item Patient Health Questionnaire at 82 primary care VA clinics in California, Arizona, and New Mexico between October 1, 2015, and September 30, 2019. Data analysis was performed from December 2020 to August 2021. Receipt of guideline-concordant care for screen-positive patients who were determined by clinicians as having depression was assessed. Timely follow-up (within 84 days of screening) was defined as receiving 3 or more mental health specialty visits, 3 or more psychotherapy visits, or 3 or more primary care visits with a depression diagnosis according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Completing at least minimal treatment (within 12 months) was defined as having 60 days or more of antidepressant prescriptions filled, 4 or more mental health specialty visits, or 3 or more psychotherapy visits. The final cohort included 607 730 veterans (mean [SD] age, 59.4 [18.2] years; 546 516 men [89.9%]; 339 811 non-Hispanic White [55.9%]); 8%, or 82 998 of 997 185 person-years, newly screened positive for depression. Clinicians identified fewer than half with depression (15 155 patients), of whom 32% (5034 of 15 650 person-years) met treatment guidelines for timely follow-up and 77% (12 026 of 15 650 person-years) completed at least minimal treatment. Younger age (odds ratio, 0.990; 95% CI, 0.986-0.993; P < .001), Black race (odds ratio, 1.19; 95% CI, CI 1.05-1.34; P = .01), and having comorbid psychiatric diagnoses were significantly associated with timely follow-up. Individual quality metric components (eg, medication or psychotherapy) were associated differently with overall quality results among patient groups, except for age. In this cohort study, most patients met the guidelines for completing at least minimal treatment, but only a minority received timely follow-up after screening positive and being identified as having depression. More research is needed to understand whether the discrepancy between patients who screened positive and patients identified as having depression reflects a gap in recognition of needed care.

Association of Integrated Mental Health Services with Physical Health Quality Among VA Primary Care Patients

BackgroundIntegrated care for comorbid depression and chronic medical disease improved physical and mental health outcomes in randomized controlled trials. The Veterans Health Administration (VA) implemented Primary Care–Mental Health Integration (PC-MHI) across all primary care clinics nationally to increase access to mental/behavioral health treatment, alongside physical health management.ObjectiveTo examine whether widespread, pragmatic PC-MHI implementation was associated with improved care quality for chronic medical diseases.Design, Setting, and ParticipantsThis retrospective cohort study included 828,050 primary care patients with at least one quality metric among 396 VA clinics providing PC-MHI services between October 2013 and September 2016.Main Measure(s)For outcome measures, chart abstractors rated whether diabetes and cardiovascular quality metrics were met for patients at each clinic as part of VA’s established quality reporting program. The explanatory variable was the proportion of primary care patients seen by integrated mental health specialists in each clinic annually. Multilevel logistic regression models examined associations between clinic PC-MHI proportion and patient-level quality metrics, adjusting for regional, patient, and time-level effects and clinic and patient characteristics.Key ResultsMedian proportion of patients seen in PC-MHI per clinic was 6.4% (IQR=4.7–8.7%). Nineteen percent of patients with diabetes had poor glycemic control (hemoglobin A1c >9%). Five percent had severely elevated blood pressure (>160/100 mmHg). Each two-fold increase in clinic PC-MHI proportion was associated with 2% lower adjusted odds of poor glycemic control (95% CI=0.96–0.99; p=0.046) in diabetes. While there was no association with quality for patients diagnosed with hypertension, patients without diagnosed hypertension had 5% (CI=0.92–0.99; p=0.046) lower adjusted odds of having elevated blood pressures.Conclusions and RelevancePrimary care clinics where integrated mental health care reached a greater proportion of patients achieved modest albeit statistically significant gains in key chronic care quality metrics, providing optimism about the expected effects of large-scale PC-MHI implementation on physical health.

Factors affecting primary care physician decision-making for patients with complex multimorbidity: a qualitative interview study

BackgroundPatients with multiple chronic conditions (multimorbidity) and additional psychosocial complexity are at higher risk of adverse outcomes. Establishing treatment or care plans for these patients must account for their disease interactions, finite self-management abilities, and even conflicting treatment recommendations from clinical practice guidelines. Despite existing insight into how primary care physicians (PCPs) approach care decisions for their patients in general, less is known about how PCPs make care planning decisions for more complex populations particularly within a medical home setting. We therefore sought to describe factors affecting physician decision-making when care planning for complex patients with multimorbidity within the team-based, patient-centered medical home setting in the integrated healthcare system of the U.S. Department of Veterans Affairs, the Veterans Health Administration (VHA).MethodsThis was a qualitative study involving semi-structured telephone interviews with PCPs working > 40% time in VHA clinics. Interviews were conducted from April to July, 2020. Content was analyzed with deductive and inductive thematic analysis.Results23 physicians participated in interviews; most were MDs (n = 21) and worked in hospital-affiliated clinics (n = 14) across all regions of the VHA’s national clinic network. We found internal, external, and relationship-based factors, with developed subthemes describing factors affecting decision-making for complex patients with multimorbidity. Physicians described tailoring decisions to individual patients; making decisions in keeping with an underlying internal style or habit; working towards an overarching goal for care; considering impacts from patient access and resources on care plans; deciding within boundaries provided by organizational structures; collaborating on care plans with their care team; and impacts on decisions from their own emotions and relationship with patient.ConclusionsPCPs described internal, external, and relationship-based factors that affected their care planning for high-risk and complex patients with multimorbidity in the VHA. Findings offer useful strategies employed by physicians to effectively conduct care planning for complex patients in a medical home setting, such as delegation of follow-up within multidisciplinary care teams, optimizing visit time vs frequency, and deliberate investment in patient-centered relationship building to gain buy-in to care plans.

The Impact of Non-Ophthalmic Factors on Intravitreal Injections During the COVID-19 Lockdown.

PurposeEarly on in the COVID-19 pandemic, it was difficult to know what factors would affect patient and physician decision-making regarding ophthalmic care utilization. The purpose of this study is to investigate the effect of non-ophthalmic factors on patient decision-making to receive intravitreal injections during the COVID-19 lockdown.Patients and MethodsData on patients who had intravitreal injection appointments at a tertiary care Veterans Health Administration clinic during a seven-week period (March 19, 2020–May 8, 2020) of the COVID-19 outbreak in Los Angeles County were collected and compared to patients who had intravitreal injection appointments during the same time period in 2019. Demographic characteristics, injection diagnoses, visual acuities, body mass indices, co-morbidities, and psychiatric conditions of patients and clinic volumes were tabulated and compared between the two time periods.ResultsThere were 86 patients in the injection clinic in 2020 compared to 176 patients in 2019. The mean age and gender of patients in the injection clinic did not differ between 2019 and 2020. Compared to 2019, the number of patients who identified as Hispanic or Latino remained nearly the same, but the number of patients who identified as White, Black, or Asian or Pacific Islander decreased by nearly half. In 2020, a greater proportion of patients came to the injection clinic for neovascular age-related macular degeneration (56.5% vs 39.3%, p=0.017), but a decreased proportion of patients diagnosed with a heart condition (OR 0.57, 95% CI 0.33, 0.96), chronic obstructive pulmonary disease (OR 0.43, 95% CI 0.21, 0.91), or asthma (OR 0.09, 95% CI 0.01, 0.70) came to the injection clinic.ConclusionThe COVID-19 pandemic was associated with behavioral changes in eyecare utilization influenced by race and systemic co-morbidities. These data can be used to design and implement strategies to address disparities in essential ophthalmic care among vulnerable populations.

Adaptation of a quality improvement approach to implement eScreening in VHA healthcare settings: innovative use of the Lean Six Sigma Rapid Process Improvement Workshop

BackgroundThe Veterans Health Administration (VHA) developed a comprehensive mobile screening technology (eScreening) that provides customized and automated self-report health screening via mobile tablet for veterans seen in VHA settings. There is agreement about the value of health technology, but limited knowledge of how best to broadly implement and scale up health technologies. Quality improvement (QI) methods may offer solutions to overcome barriers related to broad scale implementation of technology in health systems. We aimed to develop a process guide for eScreening implementation in VHA clinics to automate self-report screening of mental health symptoms and psychosocial challenges.MethodsThis was a two-phase, mixed methods implementation project building on an adapted quality improvement method. In phase one, we adapted and conducted an RPIW to develop a generalizable process guide for eScreening implementation (eScreening Playbook). In phase two, we integrated the eScreening Playbook and RPIW with additional strategies of training and facilitation to create a multicomponent implementation strategy (MCIS) for eScreening. We then piloted the MCIS in two VHA sites. Quantitative eScreening pre-implementation survey data and qualitative implementation process “mini interviews” were collected from individuals at each of the two sites who participated in the implementation process. Survey data were characterized using descriptive statistics, and interview data were independently coded using a rapid qualitative analytic approach.ResultsPilot data showed overall satisfaction and usefulness of our MCIS approach and identified some challenges, solutions, and potential adaptations across sites. Both sites used the components of the MCIS, but site 2 elected not to include the RPIW. Survey data revealed positive responses related to eScreening from staff at both sites. Interview data exposed implementation challenges related to the technology, support, and education at both sites. Workflow and staffing resource challenges were only reported by site 2.ConclusionsOur use of RPIW and other QI methods to both develop a playbook and an implementation strategy for eScreening has created a testable implementation process to employ automated, patient-facing assessment. The efficient collection and communication of patient information have the potential to greatly improve access to and quality of healthcare.

Improving cardiovascular outcomes by using team-supported, EHR-leveraged, active management: Disseminating a successful quality improvement project

BackgroundUncontrolled blood pressure (BP) is common among Veterans. Rural Veterans are at risk for suboptimal care coordination as successful programs may be implemented at lower rates due to individual- and system-level factors. There is strong evidence to support the use of remotely delivered support and patient-generated data from home BP monitors and virtual BP visits to manage BP. ObjectiveThe purpose of this project is to augment the current approach to addressing uncontrolled BP so that existing clinical staff can reach a larger patient population. MethodsOur project will address uncontrolled BP by leveraging team-based care, the Veteran's Health Administration Electronic Health Record, and patient-centered medical home data to address patient, provider, and system barriers to cardiovascular disease (CVD) preventive care. We will implement this project in cardiovascular disease practices in three rural Veterans Health Administration clinics. We will evaluate implementation processes as well as patient-level (e.g., clinical outcomes, referrals to specialty services) outcomes in a one-arm, pre-post design. DiscussionThis manuscript describes our process in expanding the implementation of a successful project to improve BP control in high-risk, rural Veterans. Findings from our study will inform an understanding of both implementation and clinical effectiveness outcomes of a potentially scalable BP intervention in rural, community-based clinics. Appropriate management of Veterans with uncontrolled BP can reduce morbidity and mortality related to CVD. In turn, improvements in BP, can lead to improved quality metrics and potentially decrease costs for a healthcare system.

Changes in Hepatocellular Carcinoma Surveillance and Risk Factors for Noncompletion in the Veterans Health Administration Cohort During the Coronavirus Disease 2019 Pandemic

Changes in Hepatocellular Carcinoma Surveillance and Risk Factors for Noncompletion in the Veterans Health Administration Cohort During the Coronavirus Disease 2019 Pandemic

Quality of life among women veterans.

Of 23 million US veterans, 2 million are women. Female veterans often have physical and mental health disorders, but only 6.5% use the Veterans Health Administration (VA) system. Health care for women veterans is challenging in a health care system unfamiliar with this population. The purpose of this study was to investigate how receipt of treatment by female veterans at a VA women's health specialty clinic affected levels of distress, quality of life (QOL), and depression. A retrospective record review was completed on 51 female veterans between the ages of 40 and 60 years attending a VA clinic. The clinic provides comprehensive women's health services to female veterans. Multiple linear regression models were fit to explore QOL and depression levels with socioeconomic status, parity, years of service, and military sexual trauma (MST). Female veterans had significantly lower baseline scores for QOL than did a comparison group. The only significant predictor associated with higher health-related symptom scores at baseline was a history of MST (β = 0.363; t = 2.44; p = .02). Means and standard deviations for total scores were significantly higher than those of the comparison group. Higher symptom scores indicated lower QOL among female veterans. Study findings suggested that timely, comprehensive, gender-specific health care can significantly improve overall QOL and depression levels. Nurse practitioners play a leading role in providing primary care to this population with significant potential to impact QOL, depression levels, and overall health of female veterans.

Factors Affecting Adoption of Coordinated Anxiety Learning and Management (CALM) in Veterans' Affairs Community-Based Outpatient Clinics.

Many US military veterans experience anxiety, depression, and trauma-related disorders. A major goal of the Veterans Health Administration (VHA) has been to increase access to evidence-based psychotherapies (EBPs) such as cognitive-behavioral therapy to address veterans' substantial health burden. However, despite widespread implementation of EBPs throughout the VHA, smaller clinics that often serve rural veterans face barriers to delivering these interventions. The Veterans Affairs Coordinated Anxiety Learning and Management (VA CALM) program aims to empower providers in rural areas with varying levels of training and experience in delivering EBPs to provide high-quality cognitive-behavioral therapy for anxiety, depression, and trauma-related disorders. The goal of this study was to better understand, through qualitative interviews, VHA community-based outpatient clinic providers' perspectives on implementing VA CALM. Qualitative interviews with providers (N = 22) were conducted to understand implementation of VA CALM. Template analysis was used to organize and summarize responses. Providers noted several facilitators for implementing VA CALM in rural community clinics, including its perceived effectiveness, broad applicability, and structure. Barriers to implementation included scheduling problems and patient-related barriers. Incorporating providers' perspectives on factors that affect implementing cognitive-behavioral therapy in this setting may inform future efforts to disseminate-implement EBPs in smaller, more remote VHA clinics.

Association of Veterans Affairs Primary Care Mental Health Integration With Care Access Among Men and Women Veterans

Women veterans increasingly seek care yet continue to face barriers in the Veterans Health Administration (VA), which predominantly cares for men. Evidence-based collaborative care models can improve patient access to treatment of depression, which is experienced at higher rates by women. While the VA has implemented these care models nationally, it is not known whether access improvements occur equitably across genders in primary care. To examine whether the VA's national Primary Care-Mental Health Integration (PC-MHI) initiative (beginning 2007) expanded realized access to mental health care similarly for men and women. This cohort study included 5 377 093 million primary care patients assigned to 396 VA clinics that provided integrated mental health services nationally between October 2013 and September 2016. Data analysis occurred between May 2017 and July 2020. Clinic PC-MHI penetration, calculated as the proportion of clinic patients who saw an integrated specialist per fiscal year. Estimates of mean VA health care utilization (mental health, primary care, other specialty care, telephone, hospitalizations) and median total costs for men and women. Multilevel models adjusted for year, clinic, patient characteristics, and interactions between patient-defined gender and clinic PC-MHI penetration. This study examined 5 377 093 veterans (448 455 [8.3%] women; 3 744 140 [69.6%] White) with a mean (SD) baseline age 62.0 (16.6) years. Each percentage-point increase in the proportion of clinic patients who saw an integrated specialist was associated with 38% fewer mental health visits per year for women (incidence rate ratio [IRR], 0.62; 95% CI, 0.60-0.65), but 39% more visits for men (IRR, 1.39; 95% CI, 1.34-1.44; P < .001). Both men and women had more primary care visits (men: IRR, 1.40; 95% CI, 1.36-1.45; women: IRR, 1.22; 95% CI, 1.17-1.28; P < .001) and total costs (men: β [SE], 2.23 [0.10]; women: β [SE], 1.24 [0.15]; P = .06), but women had 74% fewer hospitalizations than men related to clinics with mental health integration (IRR, 0.26; 95% CI, 0.19-0.36 vs IRR, 1.02; 95% CI, 0.83-1.24; P < .001). While greater outpatient service use for men was observed in this study, PC-MHI was associated with a decrease in mental health specialty visits (and hospitalizations) for women veterans, potentially signifying a shift of services to primary care. With increasing patient choice for where veterans receive care, the VA must tailor medical care to the needs of rising numbers of women patients. Differences in health care utilization by gender highlight the importance of anticipating policy impacts on and tailoring services for patients in the numerical minority in the VA and other health systems.

Association of Health Conditions and Health Service Utilization With Intimate Partner Violence Identified via Routine Screening Among Middle-Aged and Older Women

The US Preventive Services Task Force recently determined that there is insufficient evidence to recommend routine screening for intimate partner violence (IPV) in women who are middle-aged and older. Certain Veterans Health Administration (VHA) clinics have been routinely screening women of all ages for IPV since 2014. To examine the proportion of women older than childbearing age (ie, ≥45 years) who have positive results when routinely screened for past-year IPV at VHA clinics and to evaluate the associations of a positive screening result with health conditions and health service utilization. This cohort study included 4481 women aged 45 years and older who were screened for past-year IPV in 13 VHA outpatient clinics in 11 states between April 2014 and April 2016. Data analysis was conducted from March 2019 to August 2019. Positive screening result for past-year IPV. Mental and physical health conditions (identified using International Classification of Diseases, Ninth Edition [ICD-9] and ICD-10 codes from VHA medical record data) and VHA health services utilization (identified using inpatient and outpatient VHA encounter data) in the 20 months after screening. In this study, 2937 of 4481 women (65.5%) were middle-aged (ie, aged 45 to 59 years), and 1544 (34.5%) were older (ie, aged ≥60 years), with 1955 (43.6%) black participants. A total of 255 middle-aged women (8.7%; mean [SD] age, 51 [4] years) and 79 older women (5.1%; mean [SD] age, 64 [5] years) screened positive for past-year IPV. In adjusted logistic regression models among middle-aged women, screening positive for IPV was associated with subsequent diagnoses of anxiety (adjusted odds ratio [aOR], 2.00; 95% CI, 1.50-2.70; P < .001), depression (aOR, 2.30; 95% CI, 1.80-3.00; P < .001), posttraumatic stress disorder (aOR, 2.30; 95% CI, 1.80-3.00; P < .001), suicidal ideation and/or behavior (aOR, 3.80; 95% CI, 2.10-6.90; P < .001), and substance use disorder (aOR, 2.50; 95% CI, 1.80-3.50; P < .001). Similar but attenuated associations were seen for older women (eg, substance use disorder: aOR, 2.20; 95% CI, 1.10-4.40; P = .04). In adjusted negative binomial regression models among middle-aged women, screening positive for IPV was associated with a higher rate of subsequent psychosocial (eg, mental health) visits (adjusted rate ratio [aRR], 2.40; 95% CI, 2.00-2.90; P < .001), primary care visits (aRR, 1.20; 95% CI, 1.10-1.30; P < .001), and emergency department visits (aRR, 1.50; 95% CI 1.20-1.80; P < .001). Older women screening positive for IPV had a higher rate of psychosocial visits (aRR, 1.90; 95% CI, 1.30-2.70; P < .001) but not of other visit types. To our knowledge, this study was the largest to evaluate routine screening for IPV among women aged 45 years and older, and it found that IPV remained prevalent and was associated with morbidity for these women. Screening for IPV in women older than 44 years may improve detection and provision of evidence-based services to this growing population.

Analyzing free-text survey responses: An accessible strategy for developing patient-centered programs and program evaluation

Despite widespread availability of yoga in the Veterans Health Administration (VA), it remains unclear how to best evaluate yoga programs. This is particularly problematic for programs aimed at veterans with mental health concerns, as evaluation typically focuses narrowly upon mental health symptom severity, even though program participants may have other health-related priorities. We analyzed responses to free-text questions on 237 surveys completed by veterans with mental health concerns enrolled in a yoga program at six VA clinics in Louisiana to characterize veteran participants’ experiences with yoga. Qualitative analysis resulted in 15 domains reflecting veterans’ individual health-related values and priorities. We use results to illustrate the potential for analysis of free-text responses to reveal valuable insights into patient experiences, demonstrating how these data can inform patient-centered program evaluation. The approach we present is more accessible to those responsible for decision-making about local programs than conventional methods of analyzing qualitive evaluation data.

Veterans Health Administration Investments In Primary Care And Mental Health Integration Improved Care Access.

Aiming to increase care access, the national Primary Care-Mental Health Integration (PC-MHI) initiative of the Veterans Health Administration (VHA) embedded specialists, care managers, or both in primary care clinics to collaboratively care for veterans with psychiatric illness. The initiative's effects on health care use and cost patterns were examined among 5.4million primary care patients in 396 VHA clinics in 2013-16. The median rate of patients who saw a PC-MHI provider was 6.3percent. Each percentage-point increase in the proportion of clinic patients seen by these providers was associated with 11percent more mental health and 40percent more primary care visits but also with 9percent higher average total costs per patient per year. At the mean, 2.5 integrated care visits substituted for each specialty-based mental health visit that did not occur. PC-MHI was associated with improved access to outpatient care, albeit at increased total cost to the VHA. Successful implementation of integrated care necessitates significant investment and multidisciplinary partnership within health systems.

Determinants of quality prostate cancer survivorship care across the primary and specialty care interface: Lessons from the Veterans Health Administration.

BackgroundWith over 3 million US prostate cancer survivors, ensuring high‐quality, coordinated cancer survivorship care is important. However, implementation of recommended team‐based cancer care has lagged, and determinants of quality care across primary and specialty care remain unclear. Guided by the theoretical domains framework (TDF), we explored multidisciplinary determinants of quality survivorship care in an integrated delivery system.MethodsWe conducted semistructured interviews with primary (4) and specialty (7) care providers across 6 Veterans Health Administration clinic sites. Using template analysis, we coded interview transcripts into the TDF, mapping statements to specific constructs within each domain. We assessed whether each construct was perceived a barrier or facilitator, examining results for both primary care providers (PCPs) and prostate cancer specialists.ResultsCancer specialists and PCPs identified 2 primary TDF domains impacting their prostate cancer survivorship care: Knowledge and Environmental context and resources. Both groups noted knowledge (about survivorship care) and procedural knowledge (about how to deliver survivorship care) as positive determinants or facilitators, whereas resources/material resources (to deliver survivorship care) was noted as a negative determinant or barrier to care. Additional domains more commonly referenced by cancer specialists included Social/professional role and identity and Goals, while PCPs reported the domain Beliefs about capabilities as relevant.ConclusionsWe used the TDF to identify several behavioral domains acting as determinants of high‐quality, team‐based prostate cancer survivorship care. These results can inform prostate cancer survivorship care plan content, and may guide tailored, multidisciplinary implementation strategies to improve survivorship care across the primary and specialty care interface.

Using implementation facilitation to implement primary care mental health integration via clinical video telehealth in rural clinics: protocol for a hybrid type 2 cluster randomized stepped-wedge design

BackgroundIntegrating mental health providers into primary care clinics improves access to and outcomes of mental health care. In the Veterans Health Administration (VA) Primary Care Mental Health Integration (PCMHI) program, mental health providers are co-located in primary care clinics, but the implementation of this model is challenging outside large VA medical centers, especially for rural clinics without full mental health staffing. Long wait times for mental health care, little collaboration between mental health and primary care providers, and sub-optimal outcomes for rural veterans could result. Telehealth could be used to provide PCMHI to rural clinics; however, the clinical effectiveness of the tele-PCMHI model has not been tested. Based on evidence that implementation facilitation is an effective implementation strategy to increase uptake of PCMHI when delivered on-site at larger VA clinics, it is hypothesized that this strategy may also be effective with regard to ensuring adequate uptake of the tele-PCMHI model at rural VA clinics.MethodsThis study is a hybrid type 2 pragmatic effectiveness-implementation trial of tele-PCMHI in six sites over 24 months. Tele-PCMHI, which will be delivered by clinical staff available in routine care settings, will be compared to usual care. Fidelity to the care model will be monitored but not controlled. We will use the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework to evaluate the patient-level clinical effectiveness of tele-PCMHI in rural VA clinics and also to evaluate the fidelity to and outcomes of the implementation strategy, implementation facilitation. The proposed study will employ a stepped-wedge design in which study sites sequentially begin implementation in three steps at 6-month intervals. Each step will include (1) a 6-month period of implementation planning, followed by (2) a 6-month period of active implementation, and (3) a final period of stepped-down implementation facilitation.DiscussionThis study will evaluate the effectiveness of PCMHI in a novel setting and via a novel method (clinical video telehealth). We will test the feasibility of using implementation facilitation as an implementation strategy to deploy tele-PCMHI in rural VA clinics.Trial registrationClinicalTrials.gov registration number NCT02713217. Registered on 18 March 2016