Assessment of PSA responses and changes in the rate of tumor growth (g-rate) with immune checkpoint inhibitors in US Veterans with prostate cancer.

We examined data from US Veterans with prostate cancer (PC) to assess disease response to immune checkpoint inhibitors (ICI) as monotherapy or combined with abiraterone or enzalutamide to assess ICI efficacy in the real-world. We queried the VA corporate data warehouse (CDW) to identify Veterans with a diagnosis of PC who received ICI for any malignancy and had ≥1 PSA measurement while receiving ICI. To evaluate ICI monotherapy, we restricted analysis to Veterans who had not received LHRH agonists/antagonists, PC-directed medical therapy, or radiation/extirpative surgery of the bladder/prostate within and preceding the duration of ICI administration. For ICI combination analysis, we identified Veterans who received abiraterone or enzalutamide for PC while on ICI. We calculated rates of tumor (PSA) growth (g-rates), comparing them to a 1:2 matched reference cohort. We identified 787 Veterans with PC and ≥1 PSA measurement while receiving an ICI. Median duration of ICI therapy was 155 days. 223 Veterans received ICI monotherapy, with only 17(8%) having a reduction in PSA (median decline = 43%). 12 (5%) had PSA declines >30% (PSA30) which included 6 (3%) who had PSA reductions greater than 50% (PSA50). Median g-rates for ICI plus abiraterone (n = 20) or enzalutamide (n = 31) were 0.000689/d-1 and 0.002819/d-1, respectively, and were statistically insignificant compared to g-rates of matched cohorts receiving abiraterone (g = 0.000925/d-1, P = 0.73) or enzalutamide (g = 0.001929/d-1, P = 0.58) alone. Our data align with clinical trial data in PC, demonstrating limited benefit from ICI monotherapy and predicting no survival benefit from simultaneous abiraterone or enzalutamide with an ICI using g-rate.

Shallow Subsidies for Veterans Facing Housing Barriers in the VA Supportive Services for Veteran Families Program.

The Department of Veterans Affairs provides a shallow subsidy (i.e., subsidizing 50% of an individual's rent for two years) to Veterans experiencing housing instability. We sought to describe the characteristics of Veterans who received these subsidies. Methods. We conducted a retrospective cohort study of Veterans between 10/2019-9/2021. We identified Veteran-level characteristics associated with receiving a shallow subsidy using a multivariable two-part regression model. We also conducted qualitative interviews to identify how shallow subsidies are allocated. Results Black race, higher income, more education, and older age were positively associated with receiving a shallow subsidy; previous homelessness, prior VA outpatient cost, and participating in permanent supportive housing were negatively associated with receiving a shallow subsidy. Interviews revealed that income was the most influential determinant of whether to give shallow subsidies. Discussion Our mixed methods findings were consistent, indicating that socioeconomic stability is an important driver of shallow subsidy allocation decisions.

Telehealth Research and Innovation for Veterans with Cancer: the THRIVE Center.

BACKGROUND: In recent years the US health-care system has witnessed a substantial increase in telehealth use. Telehealth enhances health-care access and quality and may reduce costs. However, there is a concern that the shift from in-person to telehealth care delivery may differentially improve cancer care access and quality in certain clinical settings and for specific patient populations while potentially exacerbating disparities in care for others. Our National Cancer Institute-funded center, called Telehealth Research and Innovation for Veterans with Cancer (THRIVE), is focused on health equity for telehealth-delivered cancer care. We seek to understand how social determinants of telehealth-particularly race and ethnicity, poverty, and rurality-affect the use of telehealth. METHODS: THRIVE draws from the Health Disparities Research Framework and the Consolidated Framework for Implementation Research. THRIVE consists of multiple cores that work synergistically to assess and understand health equity for telehealth-delivered cancer care. These include the Administrative Core, Research and Methods Core, Clinical Practice Network, and Pragmatic Trial. RESULTS: As of October 2023, we identified and trained 5 THRIVE scholars, who are junior faculty beginning a research career. We have reviewed 20 potential pilot studies, funding 6. Additionally, in communication with our funders and advisory boards, we have adjusted our study design and analytic approach, ensuring feasibility while addressing our operational partners' needs. CONCLUSIONS: THRIVE has several key strengths. First, the Veterans Health Administration's health-care system is large and diverse regarding health-care setting type and patient population. Second, we have access to longitudinal data, predating the COVID-19 pandemic, about telehealth use. Finally, equitable access to high-quality care for all veterans is a major tenet of the Veterans Health Administration health-care mission. As a result of these advantages, THRIVE can focus on isolating and evaluating the impact of social determinants of telehealth on equity in cancer care.

Estimating prevalence of post-war health disorders using multiple systems data.

Effective surveillance on the long-term public health impact due to war and terrorist attacks remains limited. Such health issues are commonly under-reported, specifically for a large group of individuals. For this purpose, efficient estimation of the size or undercount of the population under the risk of physical and mental health hazards is of utmost necessity. A novel trivariate Bernoulli model is developed allowing heterogeneity among the individuals and dependence between the sources of information, and an estimation methodology using a Monte Carlo-based EM algorithm is proposed. Simulation results show the superiority of the performance of the proposed method over existing competitors and robustness under model mis-specifications. The method is applied to analyse two real case studies on monitoring amyotrophic lateral sclerosis (ALS) cases for the Gulf War veterans and the 9/11 terrorist attack survivors at the World Trade Center, USA. The average annual cumulative incidence rate for ALS disease increases by 33 % and 16 % for deployed and no-deployed military personnel, respectively, after adjusting the undercount. The number of individuals exposed to the risk of physical and mental health effects due to WTC terrorist attacks increased by 42 % . These results provide interesting insights that can assist in effective decision-making and policy formulation for monitoring the health status of post-war survivors.

Racial and Ethnic and Rural Variations in Access to Primary Care for Veterans Following the MISSION Act.

Importance: The 2018 Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks (VA MISSION) Act was implemented to increase timely access to care by expanding veterans' opportunities to receive Veterans Affairs (VA)-purchased care in the community (community care [CC]). Because health equity is a major VA priority, it is important to know whether Black and Hispanic veterans compared with White veterans experienced equitable access to primary care within the VA MISSION Act. Objective: To examine whether utilization of and wait times for primary care differed between Black and Hispanic veterans compared with White veterans in rural and urban areas after the implementation of the VA MISSION Act. Design, Setting, and Participants: This cross-sectional study used VA and CC outpatient and consult data from the VA's Corporate Data Warehouse for fiscal years 2021 to 2022 (October 1, 2020, to September 30, 2022). Separate fixed-effects multivariable models were run to predict CC utilization and wait times. Each model was run twice, once comparing Black and White veterans and then comparing Hispanic and White veterans. Adjusted risk ratios (ARRs) were calculated for Black and Hispanic veterans compared with White veterans within rurality status for both outcomes. Main Outcomes and Measures: VA and CC primary care utilization as measured by primary care visits (utilization cohort); VA and CC primary care access as measured by mean wait times (access cohort). Results: A total of 5 046 087 veterans (994 517 [19.7%] Black, 390 870 [7.7%] Hispanic, and 3 660 700 [72.6%] White individuals) used primary care from fiscal years 2021 to 2022. Utilization increased for all 3 racial and ethnicity groups, more so in CC than VA primary care. ARRs were significantly less than 1 regardless of rurality status, indicating Black and Hispanic veterans compared with White veterans were less likely to utilize CC for primary care. There were 468 246 primary care consultations during the study period. The overall mean (SD) wait time was 33.3 (32.4) days. Despite decreases in wait times over time, primary care wait times remained longer in CC than in VA. Black veterans compared with White veterans had significantly longer wait times in CC (ARRs >1) but significantly shorter wait times in VA (ARRS <1) regardless of rurality status in VA and CC. CC wait times for Hispanic veterans compared with White veterans were longer in rural areas only and in VA rural and urban areas (ARRs >1). Conclusion and Relevance: The results of this cross-sectional study suggest that additional research should explore the determinants and implications of utilization differences among Black and Hispanic veterans compared with White veterans. Efforts to promote equitable primary care access for all veterans are needed so that policy changes can be more effective in ensuring timely access to care for all veterans.

Health-related quality of life by veterans RAND 12 and healthcare resource utilization in cancer patients with sleep disorders: insights from the Medical Expenditure Panel Survey.

PURPOSE: This study aims to investigate the joint effects of cancer and sleep disorders on the health-related quality of life (HRQoL), healthcare resource utilization, and expenditures among US adults. METHODS: Utilizing the 2018-2019 Medical Expenditure Panel Survey (MEPS) database, a sample of 25,274 participants was categorized into four groups based on cancer and sleep disorder status. HRQoL was assessed using the VR-12 questionnaire. Generalized linear model (GLM) with a log-linear regression model combined gamma distribution was applied for the analysis of healthcare expenditure data. RESULTS: Individuals with both cancer and sleep disorders (C+/S+) exhibited notably lower physical health (PCS) and mental health (MCS) scores-1.45 and 1.87 points lower, respectively. They also showed significantly increased clinic visits (2.12 times), outpatient visits (3.59 times), emergency visits (1.69 times), and total medical expenditures (2.08 times) compared to those without cancer or sleep disorders (C-/S-). In contrast, individuals with sleep disorders alone (C-/S+) had the highest number of prescription drug usage (2.26 times) and home health care days (1.76 times) compared to the reference group (C-/S-). CONCLUSIONS: Regardless of cancer presence, individuals with sleep disorders consistently reported compromised HRQoL. Furthermore, those with cancer and sleep disorders experienced heightened healthcare resource utilization, underscoring the considerable impact of sleep disorders on overall quality of life. IMPLICATIONS FOR CANCER SURVIVORS: The findings of this study address the importance of sleep disorders among cancer patients and their potential implications for cancer care. Healthcare professionals should prioritize screening, education, and tailored interventions to support sleep health in this population.

Factors Associated With Increased Substance Use Disorder Care in VA PTSD Specialty Outpatient Treatment.

OBJECTIVE: Substance use disorders (SUDs) commonly co-occur with posttraumatic stress disorder (PTSD). Understanding PTSD clinics that serve higher percentages of patients with PTSD/SUD is crucial for improving SUD care in clinics with lower percentages of such patients. This study examined the differences between Veterans Affairs (VA) PTSD treatment sites with higher percentages ("High%") and lower percentages ("Low%") of patients with PTSD/SUD as well as exploring the roles of the PTSD/SUD specialists. METHODS: The study collected quantitative and qualitative data from 18 clinic directors and 21 specialists from 33 VA PTSD specialty outpatient clinics from 2014 to 2016. The clinics were chosen from the top and bottom quartiles based on two criteria: (1) the percentage of patients with PTSD/SUD and (2) the percentage of patients with PTSD/SUD who completed at least three SUD visits within the first month of their SUD treatment. The interviews sought to identify distinguishing characteristics between the High% and Low% clinics in terms of treatment access and practices for patients with PTSD/SUD. RESULTS: More of the High% clinics reported providing evidence-based, patient-centered, and integrated/concurrent PTSD/SUD treatment and had staff members with more up-to-date knowledge and skills than the Low% clinics. We also found the roles of the PTSD/SUD specialists were demanding and confusing, leading to high turnover rates. CONCLUSIONS: The two groups of PTSD clinics differed in three key factors: Resources, knowledge and skills of staff members, and local policies. Future research should focus on addressing resource limitations, knowledge gaps, and local policy disparities in Low% clinics. By emulating the practices of High% clinics, VA PTSD clinics can improve SUD care for patients with PTSD/SUD.

Evaluation of the Implementation of the FLOW Program for Increasing Access to Mental Health Care.

The FLOW program was designed to facilitate appropriate and safe transitions of patients from specialty mental health (SMH) to primary care (PC) as a method of improving access and reducing appointment burden on veterans who have improved or remitted. In this study, the team evaluated the implementation of FLOW across nine Veterans Affairs (VA) sites using a mixed-methods evaluation in a cluster-randomized stepped wedge trial design. Outcome assessments used data from VA databases, dashboards, and semi-structured interviews and were guided by the Reach, Adoption, Effectiveness, Implementation, and Maintenance (RE-AIM) framework. Across the sites, mean level reach was 1.36% of all specialty mental health patients transitioned to primary care (standard deviation [SD] = 1.05). Mean provider adoption was 10.2% (SD = 8.3%). Approximately 75% of veterans were fully satisfied with their transition and reported shared decision-making in the decision to transition. Rates of transitions did not decrease over the 6-month maintenance period following implementation. These data suggest that FLOW can be successfully implemented and maintained, although there was wide variation in implementation across sites. Future research should examine how to support sites that struggle with implementation.

What is the additive value of nutritional deficiency to VA-FI in the risk assessment for heart failure patients?

OBJECTIVES: To assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure. METHODS: A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≥50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≤43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≤0.1), prefrail (0.1-0.2), and frail (>0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32nd deficit with the total number of deficits divided by 32. Frailty levels used the same cut-offs as the VA-FI. We compared categories based on VA-FI to those based on VA-FI-Nutrition and estimated the hazard ratio (HR) for post-discharge all-cause mortality over the study period as the primary outcome and other adverse events as secondary outcomes among patients with reduced or preserved ejection fraction in each VA-FI and VA-FI-Nutrition frailty groups. RESULTS: We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m2). In general, VA-FI-Nutrition reclassified 1959 (18.6%) Veterans to a higher frailty level. The VA-FI identified 1,880 (5%) as robust, 8,644 (23%) as prefrail, and 27,077 (72%) as frail. The VA-FI-Nutrition reclassified 382 (20.3%) from robust to prefrail and 1577 (18.2%) from prefrail to frail creating the modified-prefrail and modified-frail categories based on the VA-FI-Nutrition. We observed shorter time-to-death among Veterans reclassified to a higher frailty status vs. those who remained in their original group (Median of 2.8 years (IQR:0.5,6.8) in modified-prefrail vs. 6.3 (IQR:1.8,6.8) years in robust, and 2.2 (IQR:0.7,5.7) years in modified-frail vs. 3.9 (IQR:1.4,6.8) years in prefrail). The adjusted HR in the reclassified groups was also significantly higher in the VA-FI-Nutrition frailty categories with a 38% increase in overall all-cause mortality among modified-prefrail and a 50% increase among modified-frails. Similar trends of increasing adverse events were also observed among reclassified groups for other clinical outcomes. CONCLUSION: Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF.

Lower comorbidity scores and severity levels in Veterans Health Administration hospitals: a cross-sectional study.

BACKGROUND: Previous studies found that documentation of comorbidities differed when Veterans received care within versus outside Veterans Health Administration (VHA). Changes to medical center funding, increased attention to performance reporting, and expansion of Clinical Documentation Improvement programs, however, may have caused coding in VHA to change. METHODS: Using repeated cross-sectional data, we compared Elixhauser-van Walraven scores and Medicare Severity Diagnosis Related Group (DRG) severity levels for Veterans' admissions across settings and payers over time, utilizing a linkage of VHA and all-payer discharge data for 2012-2017 in seven US states. To minimize selection bias, we analyzed records for Veterans admitted to both VHA and non-VHA hospitals in the same year. Using generalized linear models, we adjusted for patient and hospital characteristics. RESULTS: Following adjustment, VHA admissions consistently had the lowest predicted mean comorbidity scores (4.44 (95% CI 4.34-4.55)) and lowest probability of using the most severe DRG (22.1% (95% CI 21.4%-22.8%)). In contrast, Medicare-covered admissions had the highest predicted mean comorbidity score (5.71 (95% CI 5.56-5.85)) and highest probability of using the top DRG (35.3% (95% CI 34.2%-36.4%)). CONCLUSIONS: More effective strategies may be needed to improve VHA documentation, and current risk-adjusted comparisons should account for differences in coding intensity.

Differences in healthcare costs over 10 years following discharge from military service by weight trajectory.

The prevalence of overweight and obesity among military personnel has increased substantially in the past two decades. Following military discharge many personnel can receive integrated health care from the Veterans Health Administration. Prior research related to the economic impacts of obesity has not examined health care costs following the transition into civilian life following military discharge. To address this evidence gap, this study sought to compare longitudinal costs over 10 years across weight categories among VA enrollees recently discharged from the military.

Social Determinants of Long-Term Opioid Use Following Total Knee Arthroplasty.

Total knee arthroplasty (TKA) risks persistent pain and long-term opioid use (LTO). The role of social determinants of health (SDoH) in LTO is not well established. We hypothesized that SDoH would be associated with postsurgical LTO after controlling for relevant demographic and clinical variables. This study utilized data from the Veterans Affairs Surgical Quality Improvement Program, VA Corporate Data Warehouse, and Centers for Medicare and Medicaid Services, including Veterans aged ≥ 65 who underwent elective TKA between 2013 and 2019 with no postsurgical complications or history of significant opioid use. LTO was defined as > 90 days of opioid use beginning within 90 days postsurgery. SDoH variables included the Area Deprivation Index, rurality, and housing instability in the last 12 months identified via medical record screener or International Classification of Diseases, Tenth Revision codes. Multivariable risk adjustment models controlled for demographic and clinical characteristics. Of the 9,064 Veterans, 97% were male, 84.2% white, mean age was 70.6 years, 46.3% rural, 11.2% living in highly deprived areas, and 0.9% with a history of homelessness/housing instability. Only 3.7% (n = 336) developed LTO following TKA. In a logistic regression model of only SDoH variables, housing instability (odds ratio [OR] = 2.38, 95% confidence interval [CI]: 1.09-5.22) and rurality conferred significant risk for LTO. After adjusting for demographic and clinical variables, LTO was only associated with increasing days of opioid supply in the year prior to surgery (OR = 1.52, 95% CI: 1.43-1.63 per 30 days) and the initial opioid fill (OR = 1.07; 95% CI: 1.06-1.08 per day). Our primary hypothesis was not supported; however, our findings do suggest that patients with housing instability may present unique challenges for postoperative pain management and be at higher risk for LTO.

Risk of Potentially Preventable Hospitalizations After SARS-CoV-2 Infection.

Importance: Research demonstrates that SARS-CoV-2 infection is associated with increased risk of all-cause hospitalization. However, no prior studies have assessed the association between SARS-CoV-2 and potentially preventable hospitalizations-that is, hospitalizations for conditions that can usually be effectively managed in ambulatory care settings. Objective: To examine whether SARS-CoV-2 is associated with potentially preventable hospitalization in a nationwide cohort of US veterans. Design, Setting, and Participants: This cohort study used an emulated target randomized trial design with monthly sequential trials to compare risk of a potentially preventable hospitalization among veterans with SARS-CoV-2 and matched comparators without SARS-CoV-2. A total of 189 136 US veterans enrolled in the Veterans Health Administration (VHA) who were diagnosed with SARS-CoV-2 between March 1, 2020, and April 30, 2021, and 943 084 matched comparators were included in the analysis. Data were analyzed from May 10, 2023, to January 26, 2024. Exposure: SARS-CoV-2 infection. Main Outcomes and Measures: The primary outcome was a first potentially preventable hospitalization in VHA facilities, VHA-purchased community care, or Medicare fee-for-service care. Extended Cox models were used to examine adjusted hazard ratios (AHRs) of potentially preventable hospitalization among veterans with SARS-CoV-2 and comparators during follow-up periods of 0 to 30, 0 to 90, 0 to 180, and 0 to 365 days. The start of follow-up was defined as the date of each veteran's first positive SARS-CoV-2 diagnosis, with the same index date applied to their matched comparators. Results: The 1 132 220 participants were predominantly men (89.06%), with a mean (SD) age of 60.3 (16.4) years. Most veterans were of Black (23.44%) or White (69.37%) race. Veterans with SARS-CoV-2 and comparators were well-balanced (standardized mean differences, all <0.100) on observable baseline clinical and sociodemographic characteristics. Overall, 3.10% of veterans (3.81% of those with SARS-CoV-2 and 2.96% of comparators) had a potentially preventable hospitalization during 1-year follow-up. Risk of a potentially preventable hospitalization was greater among veterans with SARS-CoV-2 than comparators in 4 follow-up periods: 0- to 30-day AHR of 3.26 (95% CI, 3.06-3.46); 0- to 90-day AHR of 2.12 (95% CI, 2.03-2.21); 0- to 180-day AHR of 1.69 (95% CI, 1.63-1.75); and 0- to 365-day AHR of 1.44 (95% CI, 1.40-1.48). Conclusions and Relevance: In this cohort study, an increased risk of preventable hospitalization in veterans with SARS-CoV-2, which persisted for at least 1 year after initial infection, highlights the need for research on ways in which SARS-CoV-2 shapes postinfection care needs and engagement with the health system. Solutions are needed to mitigate preventable hospitalization after SARS-CoV-2.

Gender Differences in Adoption and Frequency of Virtual Primary Care Among Men and Women Veterans.

Background: Women Veterans have unique health care utilization patterns; however, video-based primary care utilization among and between women and men has not been well examined. Methods: In a retrospective cohort study, we calculated gender-stratified video visit adoption (i.e., likelihood) and frequency (i.e., rate of use among users) between April 1, 2020, and March 31, 2022, by demographic and clinical characteristics known to impact health care utilization. Results: Among 5,389,139 Veterans (9.2% women), 32% of women and 18.6% of men had a video-based primary care visit over the 2-year study period. Gender interacted with Veteran characteristics and the likelihood of any video care. Men often had associations stronger in magnitude (both positive and negative) than women, including by age, rurality, history of housing instability, mental health conditions, and marital status. The direction of effect never diverged by gender. A positive association among women always coincided with a positive association among men, and vice versa, across all characteristics assessed. Only the risk ratio for video care use comparing Veterans of Black race with White race was stronger among women. In contrast to the video care adoption differences by gender, we found few differences in the frequency of video-based care by gender. Conclusions: The findings suggest there are fewer disparities by demographic and clinical characteristics in any video care use among women compared with men and little to no disparities in the frequency of video care use by gender. Understanding the variation in video care utilization by gender could help improve acceptance, appropriate utilization, and uptake of video-based visits for all.

Perspectives on supporting Veterans' social needs during hospital to home health transitions: findings from the Transitions Nurse Program.

BACKGROUND: Veterans who need post-acute home health care (HHC) are at risk for adverse outcomes and unmet social needs. Veterans' social needs could be identified and met by community-based HHC clinicians due to their unique perspective from the home environment, acuity of Veterans they serve, and access to Veterans receiving community care. To understand these needs, we explored clinician, Veteran, and care partner perspectives to understand Veterans' social needs during the transition from hospital to home with skilled HHC. METHODS: Qualitative data were collected through individual interviews with Veterans Health Administration (VHA) inpatient & community HHC clinicians, Veterans, and care partners who have significant roles facilitating Veterans' hospital to home with HHC transition. To inform implementation of a care coordination quality improvement intervention, participants were asked about VHA and HHC care coordination and Veterans' social needs during these transitions. Interviews were recorded, transcribed, and analyzed inductively using thematic analysis and results were organized deductively according to relevant transitional care domains (Discharge Planning, Transition to Home, and HHC Delivery). RESULTS: We conducted 35 interviews at 4 VHA Medical Centers located in Western, Midwestern, and Southern U.S. regions during March 2021 through July 2022. We organized results by the three care transition domains and related themes by VHA, HHC, or Veteran/care partner perspective. Our themes included (1) how social needs affected access to HHC, (2) the need for social needs screening during hospitalization, (3) delays in HHC for Veterans discharged from community hospitals, and (4) a need for closed-loop communication between VHA and HHC to report social needs. CONCLUSIONS: HHC is an underexplored space for Veterans social needs detection. While this research is preliminary, we recommend two steps forward from this work: (1) develop closed-loop communication and education pathways with HHC and (2) develop a partnership to integrate a social risk screener into HHC pathways.

Legal Services for Veterans (LSV): Protocol for evaluating the grant-based LSV initiative supporting community organizations' delivery of legal services to veterans.

BACKGROUND: 1.8 million Veterans are estimated to need legal services, such as for housing eviction prevention, discharge upgrades, and state and federal Veterans benefits. While having one's legal needs met is known to improve one's health and its social determinants, many Veterans' legal needs remain unmet. Public Law 116-315 enacted in 2021 authorizes VA to fund legal services for Veterans (LSV) by awarding grants to legal service providers including nonprofit organizations and law schools' legal assistance programs. This congressionally mandated LSV initiative will award grants to about 75 competitively selected entities providing legal services. This paper describes the protocol for evaluating the initiative. The evaluation will fulfill congressional reporting requirements, and inform continued implementation and sustainment of LSV over time. METHODS: Our protocol calls for a prospective, mixed-methods observational study with a repeated measures design, aligning to the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) and Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) frameworks. In 2023, competitively selected legal services-providing organizations will be awarded grants to implement LSV. The primary outcome will be the number of Veterans served by LSV in the 12 months after the awarding of the grant. The evaluation has three Aims. Aim 1 will focus on measuring primary and secondary LSV implementation outcomes aligned to RE-AIM. Aim 2 will apply the mixed quantitative-qualitative Matrixed Multiple Case Study method to identify patterns in implementation barriers, enablers, and other i-PARIHS-aligned factors that relate to observed outcomes. Aim 3 involves a mixed-methods economic evaluation to understand the costs and benefits of LSV implementation. DISCUSSION: The LSV initiative is a new program that VA is implementing to help Veterans who need legal assistance. To optimize ongoing and future implementation of this program, it is important to rigorously evaluate LSV's outcomes, barriers and enablers, and costs and benefits. We have outlined the protocol for such an evaluation, which will lead to recommending strategies and resource allocation for VA's LSV implementation.

Veterans Administration Readjustment Counseling Service Counselors' Training Needs: Results of a National Needs Assessment.

The Department of Veteran Affairs established Readjustment Counseling Service (RCS) to meet the mental health needs of active-duty service members, veterans, and their families. A diverse therapeutic skill set is needed to serve this complex population. To assess training needs, a national mixed-methods needs assessment consisting of a survey for RCS counselors and focus groups among counselors, RCS educational trainers, and national leadership was conducted. Survey results (n = 681) showed that RCS counselors were most interested in trainings on moral injury, acceptance and commitment therapy, and military sexual trauma (MST). Desired trainings aligned with populations served. Themes from focus groups revealed the need for foundational trainings so that all RCS counselors are adept in treating MST, moral injury, and posttraumatic disorder and proficient in caring for couples. Additionally, counselors desired advanced trainings tailored to individual counselors' needs. RCS counselors identified multiple trainings to help them treat those they serve.