Department Of Veterans Affairs Research Articles

Cross-talk between Helicobacter pylori and gastric cancer: a scientometric analysis.

Helicobacter pylori (HP) is considered a leading risk factor for gastric cancer (GC). The aim of this article is to conduct bibliometric and visual analysis to assess scientific output, identify highly cited papers, summarize current knowledge, and explore recent hotspots and trends in HP/GC research. A bibliographic search was conducted on October 24, 2023, to retrieve relevant studies on HP/GC research between 2003 and 2022. The search terms were attached to HP and GC. The main data were from the Web of Science Core Collection (WoSCC). Data visualization was performed using Biblioshiny, VOSviewer, and Microsoft Excel. In HP/GC research, 1970 papers were retrieved. The total number of papers (Np) in HP/GC was growing from 2003 to 2022. China and Japan were in the leading position and made the most contributions to HP/GC. Vanderbilt University and the US Department of Veterans Affairs had the highest Np. The most productive authors were Peek Jr Richard M. and Piazuelo M Blanca. Helicobacter received the most Np, while Gastroenterology had the most total citations (TC). High-cited publications and keyword clustering were used to identify the current status and trends in HP/GC research, while historical citation analysis provided insight into the evolution of HP/GC research. The hot topics included the effect of HP on gastric tumorigenesis and progression, the pathogenesis of HP-induced GC (HP factors), and the mechanisms by which HP affects GC (host factors). Research in the coming years could focus on topics such as autophagy, gut microbiota, immunotherapy, exosomes, epithelial-mesenchymal transition (EMT), and gamma-glutamyl transpeptidase (GGT). This study evaluated the global scientific output in HP/GC research and its quantitative characteristics, identified the essential works, and collected information on the current status, main focuses and emerging trends in HP/GC research to provide academics with guidance for future paths.

Perspectives on advancing innovation and human flourishing through a network of AI institutes

Abstract This paper explores the role of artificial intelligence (AI) and the potential to launch a network of AI institutes within federal agencies for innovation and risk management. After providing background about changes in US economic activity and recent AI policy, we study the barriers to science and technology policy and focus on the challenge of coordination in an increasingly complex and interdependent world and how better coordination is required to manage against AI risks. We introduce the concept of a networked approach to intra-agency AI collaboration, drawing on our experience in the National Artificial Intelligence Institute (NAII) at the US Department of Veterans Affairs. Using the NAII as a case-study, we outline a decentralized approach that allows each agency to contribute and coordinate at a local level and in the areas of greatest strength offer substantial opportunity for driving innovation.

Adoption and Sustained Use of Primary Care Video Visits Among Veterans with VA Video-Enabled Tablets.

In 2020, the U.S. Department of Veterans Affairs (VA) expanded an initiative to distribute video-enabled tablets to Veterans with limited virtual care access. We examined patient characteristics associated with adoption and sustained use of video-based primary care among Veterans. We conducted a retrospective cohort study of Veterans who received VA-issued tablets between 3/11/2020-9/10/2020. We used generalized linear models to evaluate the sociodemographic and clinical factors associated with video-based primary care adoption (i.e., likelihood of having a primary care video visit) and sustained use (i.e., rate of video care) in the six months after a Veteran received a VA-issued tablet. Of the 36,077 Veterans who received a tablet, 69% had at least one video-based visit within six months, and 24% had a video-based visit in primary care. Veterans with a history of housing instability or a mental health condition, and those meeting VA enrollment criteria for low-income were significantly less likely to adopt video-based primary care. However, among Veterans who had a video visit in primary care (e.g., those with at least one video visit), older Veterans, and Veterans with a mental health condition had more sustained use (higher rate) than younger Veterans or those without a mental health condition. We found no differences in adoption of video-based primary care by rurality, age, race, ethnicity, or low/moderate disability and high disability priority groups compared to Veterans with no special enrollment category. VA's tablet initiative has supported many Veterans with complex needs in accessing primary care by video. While Veterans with certain social and clinical challenges were less likely to have a video visit, those who adopted video telehealth generally had similar or higher rates of sustained use. These patterns suggest opportunities for tailored interventions that focus on needs specific to initial uptake vs. sustained use of video care.

Predictors of Acute Kidney Injury (AKI) among COVID-19 Patients at the US Department of Veterans Affairs: The Important Role of COVID-19 Vaccinations.

There are knowledge gaps about factors associated with acute kidney injury (AKI) among COVID-19 patients. To examine AKI predictors among COVID-19 patients, a retrospective longitudinal cohort study was conducted between January 2020 and December 2022. Logistic regression models were used to examine predictors of AKI, and survival analysis was performed to examine mortality in COVID-19 patients. A total of 742,799 veterans diagnosed with COVID-19 were included and 95,573 were hospitalized within 60 days following COVID-19 diagnosis. A total of 45,754 developed AKI and 28,573 AKI patients were hospitalized. Use of vasopressors (OR = 14.73; 95% CL 13.96-15.53), history of AKI (OR = 2.22; CL 2.15-2.29), male gender (OR = 1.90; CL 1.75-2.05), Black race (OR = 1.62; CL 1.57-1.65), and age 65+ (OR = 1.57; CL 1.50-1.63) were associated with AKI. Patients who were vaccinated twice and boosted were least likely to develop AKI (OR = 0.51; CL 0.49-0.53) compared to unvaccinated COVID-19 patients. Patients receiving two doses (OR = 0.77; CL = 0.72-0.81), or a single dose (OR = 0.88; CL = 0.81-0.95) were also less likely to develop AKI compared to the unvaccinated. AKI patients exhibited four times higher mortality compared to those without AKI (HR = 4.35; CL 4.23-4.50). Vaccinated and boosted patients had the lowest mortality risk compared to the unvaccinated (HR = 0.30; CL 0.28-0.31). Use of vasopressors, being unvaccinated, older age, male gender, and Black race were associated with post COVID-19 AKI. Whether COVID-19 vaccination, including boosters, decreases the risk of developing AKI warrants additional studies.

Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).

In this manuscript, we outline our developed version of a Learning Health System (LHS) in oncology implemented at the Department of Veterans Affairs (VA). Transferring healthcare into an LHS framework has been one of the spearpoints of VA's Central Office and given the general lack of evidence generated through randomized control clinical trials to guide medical decisions in oncology, this domain is one of the most suitable for this change. We describe our technical solution, which includes a large real-world data repository, a data science and algorithm development framework, and the mechanism by which results are brought back to the clinic and to the patient. Additionally, we propose the need for a bridging framework that requires collaboration between informatics specialists and medical professionals to integrate knowledge generation into the clinical workflow at the point of care.

Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use.

Electronic Nicotine Delivery Systems (ENDS) use has increased substantially in the United States since 2010. To date, there is limited evidence regarding the nature and extent of ENDS documentation in the clinical note. In this work we investigate the effectiveness of different approaches to identify a patient's documented ENDS use. We report on the development and validation of a natural language processing system to identify patients with explicit documentation of ENDS using a large national cohort of patients at the United States Department of Veterans Affairs.

Implementation of Direct-to-Patient Mobile Teledermatology in VA

BackgroundInnovative technology can enhance patient access to healthcare but must be successfully implemented to be effective.ObjectiveWe evaluated Department of Veterans Affairs’ (VA’s) implementation of My VA Images, a direct-to-patient asynchronous teledermatology mobile application enabling established dermatology patients to receive follow-up care remotely instead of in-person.Design /Participants/ApproachFollowing pilot testing at 3 facilities, the app was introduced to 28 facilities (4 groups of 7) every 3 months using a stepped-wedge cluster-randomized design. Using the Organizational Theory of Implementation Effectiveness, we examined the app’s implementation using qualitative and quantitative data consisting of encounter data from VA’s corporate data warehouse; app usage from VA’s Mobile Health database; bi-monthly reports from facility representatives; phone interviews with clinicians; and documented communications between the operational partner and facility staff.Key ResultsImplementation policies and practices included VA’s vision to expand home telehealth and marketing/communication strategies. The COVID-19 pandemic dominated the implementation climate by stressing staffing, introducing competing demands, and influencing stakeholder attitudes to the app, including its fit to their values. These factors were associated with mixed implementation effectiveness, defined as high quality consistent use. Nineteen of 31 exposed facilities prepared to use the app; 10 facilities used it for actual patient care, 7 as originally intended. Residents, nurse practitioners, and physician assistants were more likely than attendings to use the app. Facilities exposed to the app pre-pandemic were more likely to use and sustain the new process.ConclusionsConsiderable heterogeneity existed in implementing mobile teledermatology, despite VA’s common mission, integrated healthcare system, and stakeholders’ broad interest. Identifying opportunities to target favorable facilities and user groups (such as teaching facilities and physician extenders, respectively) while addressing internal implementation barriers including incomplete integration with the electronic health record as well as inadequate staffing may help optimize the initial impact of direct-to-patient telehealth. The COVID pandemic was a notable extrinsic barrier.Clinical Trials RegistrationNCT03241589

Cannabis use disorder contributes to cognitive dysfunction in Veterans with traumatic brain injury.

While emerging evidence supports a link between traumatic brain injury (TBI) and progressive cognitive dysfunction in Veterans, there is insufficient information on the impact of cannabis use disorder (CUD) on long-term cognitive disorders. This study aimed to examine the incidences of cognitive disorders in Veterans with TBI and CUD and to evaluate their relationship. This retrospective cohort study used the US Department of Veterans Affairs and Department of Defense administrative data from the Long-term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium Phenotype study. Diagnoses suggesting cognitive disorders after a TBI index date were identified using inpatient and outpatient data from 2003 to 2022. We compared the differential cognitive disorders incidence in Veterans who had the following: (1) no CUD or TBI (control group), (2) CUD only, (3) TBI only, and (4) comorbid CUD+TBI. Kaplan-Meier analyses were used to estimate the overall cognitive disorders incidence in the above study groups. The crude and adjusted Cox proportional hazards models were used to estimate crude and adjusted hazard ratios (HRs) for cognitive disorders. A total of 1,560,556 Veterans [82.32% male, median (IQR) age at the time of TBI, 34.51 (11.29) years, and 61.35% white] were evaluated. The cognitive disorder incidence rates were estimated as 0.68 (95% CI, 0.62, 0.75) for CUD only and 1.03 (95% CI, 1.00, 1.06) for TBI only per 10,000 person-months of observations, with the highest estimated cognitive disorder incidence observed in participants with both TBI and CUD [1.83 (95% CI, 1.72, 1.95)]. Relative to the control group, the highest hazard of cognitive disorders was observed in Veterans with CUD+TBI [hazard ratio (HR), 3.26; 95% CI, 2.91, 3.65], followed by those with TBI only (2.32; 95 CI%, 2.13, 2.53) and with CUD (1.79; 95 CI%, 1.60, 2.00). Of note, in the CUD only subgroup, we also observed the highest risk of an early onset cognitive disorder other than Alzheimer's disease and Frontotemporal dementia. The results of this analysis suggest that individuals with comorbid TBI and CUD may be at increased risk for early onset cognitive disorders, including dementia.

Herpes Zoster and Risk of Incident Parkinson's Disease in US Veterans: A Matched Cohort Study.

Although some systemic infections are associated with Parkinson's disease (PD), the relationship between herpes zoster (HZ) and PD is unclear. The objective is to investigate whether HZ is associated with incident PD risk in a matched cohort study using data from the US Department of Veterans Affairs. We compared the risk of PD between individuals with incident HZ matched to up to five individuals without a history of HZ using Cox proportional hazards regression. In sensitivity analyses, we excluded early outcomes. Among 198,099 individuals with HZ and 976,660 matched individuals without HZ (median age 67.0 years (interquartile range [IQR 61.4-75.7]); 94% male; median follow-up 4.2 years [IQR 1.9-6.6]), HZ was not associated with an increased risk of incident PD overall (adjusted HR 0.95, 95% CI 0.90-1.01) or in any sensitivity analyses. We found no evidence that HZ was associated with increased risk of incident PD in this cohort. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Expanding Access to Comprehensive Geriatric Evaluation via Telehealth: Development of Hybrid-Virtual Home Visits

BackgroundIn response to the aging population, the Department of Veterans Affairs (VA) seeks to expand access to evidence-based practices which support community-dwelling older persons such as the Geriatric Resources for Assessment and Care of Elders (GRACE) program. GRACE is a multidisciplinary care model which provides home-based geriatric evaluation and management for older Veterans residing within a 20-mile drive radius from the hospital. We sought to expand the geographic reach of VA-GRACE by developing a hybrid-virtual home visit (TeleGRACE).ObjectivesThe objectives were to: (1) describe challenges encountered and solutions implemented during the iterative, pre-implementation program development process; and (2) illustrate potential successes of the program with two case examples.DesignQuality improvement project with longitudinal qualitative data collection.Program DescriptionThe hybrid-virtual home visit involved a telehealth technician travelling to patients’ homes and connecting virtually to VA-GRACE team members who participated remotely.Approach & ParticipantsWe collected multiple data streams throughout program development: TeleGRACE staff periodic reflections, fieldnotes, and team meeting notes; and VA-GRACE team member interviews.Key ResultsThe five program domains that required attention and problem-solving were: telehealth connectivity and equipment, virtual physical examination, protocols and procedures, staff training, and team integration. For each domain, we describe several challenges and solutions. An example from the virtual physical examination domain: several iterations were required to identify the combination of telehealth stethoscope with dedicated headphones that allowed remote nurse practitioners to hear heart and lung sounds. The two cases illustrate how this hybrid-virtual home visit model provided care for patients who would not otherwise have received timely healthcare services.ConclusionsThese results provide a blueprint to translate an in-person home-based geriatrics program into a hybrid-virtual model and support the feasibility of using hybrid-virtual home visits to expand access to comprehensive geriatric evaluation and ongoing care for high-risk, community-dwelling older persons who reside geographically distant from the primary VA facility.Graphical

COVID-19 vaccination uptake and receptivity among veterans enrolled in homelessness-tailored primary health care clinics: provider trust vs. misinformation

BackgroundCompared to the general population, individuals experiencing homelessness are at greater risk of excess morbidity and mortality from COVID-19 but have been vaccinated at lower rates. The U.S. Department of Veterans Affairs (VA)’s Homeless Patient Aligned Care Team (HPACT) program integrates health care and social services for Veterans experiencing homelessness to improve access to and utilization of care.MethodsThis study explores the vaccination uptake behavior and attitudes through a qualitative comparative case study of two HPACT clinics, one in California (CA) and one in North Dakota (ND). Semi-structured telephone interviews were conducted with Veterans enrolled in the two VA HPACT clinics from August to December 2021 with 20 Veterans (10 at each clinic).ResultsFour themes emerged from the interviews: (1) Vaccination uptake and timing— While half of the Veterans interviewed were vaccinated, ND Veterans were more likely to be vaccinated and got vaccinated earlier than CA Veterans; (2) Housing— Unsheltered or precariously housed Veterans were less likely to be vaccinated; (3) Health Care— Veterans reporting positive experiences with VA health care and those who trusted health providers were more likely to vaccinate than those with negative or nuanced satisfaction with health care; (4) Refusers’ Conspiracy Theories and Objectivity Claims— Veterans refusing the vaccine frequently mentioned belief in conspiracy theories while simultaneously asserting their search for objective information from unbiased sources.ConclusionsThese findings amplify the importance of improving access to population-tailored care for individuals experiencing homelessness by reducing patient loads, expanding housing program enrollment, and increasing the provider workforce to ensure personalized care. Health care providers, and housing providers, social workers, and peers, who offer information without discrediting or criticizing Veterans’ beliefs, are also key to effectively delivering vaccine messaging to this population.

US Veterans Affairs and Department of Defense 2023 Clinical Guideline for PTSD—Devolving Not Evolving

This Viewpoint discusses the updated 2023 clinical practice guidelines issued by the US Department of Veterans Affairs and the US Department of Defense regarding treatment approaches for posttraumatic stress disorder.

A clinician's guide to the 2023 VA/DoD Clinical Practice Guideline for Management of Posttraumatic Stress Disorder and Acute Stress Disorder.

A clinical practice guideline (CPG) is a rigorously established set of recommendations based on currently available evidence about the efficacy, safety, acceptability, and feasibility of interventions to assist with clinical decision-making. The 2023 Department of Veterans Affairs /Department of Defense Clinical Practice Guideline for Management of Posttraumatic Stress Disorder and Acute Stress Disorder is described herein. The CPG recommendations are accompanied by a clinical algorithm, which incorporates principles of evidence-based practice, shared decision-making, and functional and contextual assessments of goals and outcomes. An overview of the CPG recommendations is combined with a discussion of questions that clinicians and patients may face in implementing the CPG and suggestions for how to effectively work with the CPG.

Overcoming barriers to implementation: mapping implementation strategies in four hospital in home programs within the Veterans Health Administration

ABSTRACT The Hospital at Home model, called Hospital-in-Home (HIH) in the Department of Veterans Affairs, delivers coordinated, high-value care aligned with older adult and caregiver preferences. Documenting implementation barriers and corresponding strategies to overcome them can address challenges to widespread adoption. To evaluate HIH implementation barriers and identify strategies to address them, we conducted interviews with 8 HIH staff at 4 hospitals between 2010 and 2013. We utilized qualitative directed content analysis guided by the Consolidated Framework for Implementation Research (CFIR) and mapped identified barriers to possible strategies using the CFIR-Expert Recommendations for Implementing Change (ERIC) Matching Tool. We identified 11 barriers spanning 5 CFIR domains. Three implementation strategies – identifying and preparing champions, conducting educational meetings, and capturing and sharing local knowledge – achieved high expert endorsement for each barrier. A mix of strategies targeting resources, organizational readiness and fit, and leadership engagement should be considered to support the sustainability and spread of HIH.

What Happens Next? Maintenance of Gains After Discharge From VA Residential PTSD Treatment.

Residential posttraumatic stress disorder (PTSD) treatment in the Department of Veterans Affairs is helpful for many Veterans, yet the majority experience symptom rebound after discharge. This study examined a national cohort of Veterans (n = 1872) who completed VA residential PTSD treatment and identified factors associated with maintenance of gains from discharge to 4-month follow-up. We generated three logistic regression models based on response profiles during residential treatment. In the "marginal responders" group, 1-3 "booster" sessions of PTSD treatment were associated with decreased odds of maintenance of gains (odds ratio [OR], 0.42), whereas in the "clinically significant responders" group, these sessions were associated with increased odds of maintenance of gains (OR, 2.89). Greater pain severity was associated with decreased odds of maintenance of gains in the "clinically significant responder" group (OR, 0.90). Results demonstrate several avenues for intervention including targeting pain severity and matching aftercare psychotherapy to Veteran residential treatment response.

Impact of Medical Training Programs on Time-to-Fill Physician Vacancies at the Veterans Health Administration.

The Department of Veterans Affairs (VA) provides the largest Graduate Medical Education (GME) training platform for health professionals in the United States. Studies on the impact of VA GME programs on physician recruitment were lacking. To examine the impact of the size of residency training programs at a VA facility on the facility's time-to-fill physician vacancies, and whether the impact differs by the socioeconomic deprivation and public school quality of the geographic area. We constructed an instrumental variable for training program size by interacting the facility clinicians share with the total training allocation nationally. Our evaluation used national data on filled physician vacancies in the VA that were posted between 2020 and 2021. The outcome evaluated was time-to-fill physician vacancies. Our explanatory variable was the facility-year level number of physician residency slots. For positions posted in 2020, an increase of one training slot was significantly associated with a decrease of 1.33 days to fill physician vacancies (95% CI, 0.38-2.28) in facilities in less deprived areas, a decrease of 1.50 days (95% CI, 0.75-2.25) in facilities with better public schools, a decrease of 3.30 days (95% CI, 0.85-5.76) in facilities in both less deprived areas and better public schools. We found similar results for positions posted in 2020 and 2021 when limiting time-to-fill to <500 days. We found that increasing the size of the residency program at a VA facility could decrease the facility's time-to-fill vacant physician positions in places with less socioeconomic deprivation or better public schools.

Bridging information gaps in menopause status classification through natural language processing.

To use natural language processing (NLP) of clinical notes to augment existing structured electronic health record (EHR) data for classification of a patient's menopausal status. A rule-based NLP system was designed to capture evidence of a patient's menopause status including dates of a patient's last menstrual period, reproductive surgeries, and postmenopause diagnosis as well as their use of birth control and menstrual interruptions. NLP-derived output was used in combination with structured EHR data to classify a patient's menopausal status. NLP processing and patient classification were performed on a cohort of 307512 female Veterans receiving healthcare at the US Department of Veterans Affairs (VA). NLP was validated at 99.6% precision. Including the NLP-derived data into a menopause phenotype increased the number of patients with data relevant to their menopausal status by 118%. Using structured codes alone, 81173 (27.0%) are able to be classified as postmenopausal or premenopausal. However, with the inclusion of NLP, this number increased 167804 (54.6%) patients. The premenopausal category grew by 532.7% with the inclusion of NLP data. By employing NLP, it became possible to identify documented data elements that predate VA care, originate outside VA networks, or have no corresponding structured field in the VA EHR that would be otherwise inaccessible for further analysis. NLP can be used to identify concepts relevant to a patient's menopausal status in clinical notes. Adding NLP-derived data to an algorithm classifying a patient's menopausal status significantly increases the number of patients classified using EHR data, ultimately enabling more detailed assessments of the impact of menopause on health outcomes.

Alzheimer Disease Treatment With Acetylcholinesterase Inhibitors and Incident Age-Related Macular Degeneration

Age-related macular degeneration (AMD) is a serious and common ophthalmologic disorder that is hypothesized to result, in part, from inflammatory reactions in the macula. Alzheimer disease (AD) treatment, acetylcholinesterase inhibitors (AChEIs), have anti-inflammatory effects and it remains unclear if they modify the risk of AMD. To investigate the association between AChEI medications and the incidence of AMD. This propensity score-matched retrospective cohort study took place at health care facilities within the US Department of Veterans Affairs (VA) health care system from January 2000 through September 2023. Participants included patients diagnosed with AD between ages 55 and 80 years with no preexisting diagnosis of AMD in the VA database. AChEIs prescription dispensed as pharmacologic treatments for AD. The first diagnosis of AMD. A total of 21 823 veterans with AD (mean [SD] age, 72.3 [6.1] years; 21 313 male participants [97.7%] and 510 female participants [2.3%]) were included. Propensity score-matched Cox model reveals each additional year of AChEI treatment was associated with a 6% lower hazard of AMD (hazard ratio, 0.94; 95% CI, (0.89-0.99). This observational study reports a small reduction in the risk of AMD among veterans with AD receiving AChEIs. Randomized clinical trials would be needed to determine if there is a cause-and-effect relationship and further research is required to validate these findings across diverse populations.

Nursing home wastewater surveillance for early warning of SARS-CoV-2-positive occupants—Insights from a pilot project at 8 facilities

Wastewater surveillance for SARS-CoV-2 has been used widely in the United States for indication of community incidence during the COVID-19 pandemic, but less is known about the feasibility of its use on a building level in nursing homes to provide early warning and prevent transmission. A pilot study was conducted at 8 Department of Veterans Affairs nursing homes across the United States to examine operational feasibility. Wastewater from the participating facilities was sampled daily during the week for 6 months (January 11, 2021-July 2, 2021) and analyzed for SARS-CoV-2 genetic material. Wastewater results were compared to new SARS-CoV-2 infections in nursing home residents and employees to determine if wastewater surveillance could provide early warning of a COVID-19-positive occupant. All 8 nursing homes had wastewater samples positive for SARS-CoV-2 and COVID-19-positive occupants. The sensitivity of wastewater surveillance for early warning of COVID-19-positive residents was 60% (3/5) and for COVID-19-positive employees was 46% (13/28). Wastewater surveillance may provide additional information for reinforcing infection control practices and lead to preventing transmission in a setting with high-risk residents. The low sensitivity for early warning in this real-world pilot highlights limitations and insights for applicability in buildings.

New Research on Veterans Treatment Courts: An Overview of the Community Participatory Research on Veterans in Specialized Programming Project

ABSTRACT Justice-involved veterans return to civilian life with a variety of mental and physical health challenges that often go untreated and increase their risk for self-harm and involvement in the criminal-legal system. Veterans Treatment Courts (VTC) were created to respond to the unique problems of justice-involved veterans by attempting to coordinate services and support with the U.S. Department of Veterans Affairs (VA), local treatment providers, and the VTC. Our research has two distinct phases. In Phase 1, we conducted qualitative interviews with VTC team members in twenty (20) VTCs from each USA region; in each VTC, we gained the perspectives of team members – judges, prosecutors, defense attorneys, VJOs, VTC program coordinators, mentors, probation officers, and treatment providers – on the operation of VTCs, with a focus on how to improve service provision for justice-involved veterans. A total of 145 interviews were conducted. We begin by describing the unique problems and treatment needs of justice-involved veterans, and briefly summarize the findings from previous research on the implementation and impact of VTCs. We then present our research study protocol and highlight findings from our phase 1 qualitative interviews with VTC team members. In addition, we describe phase 2 of our project, which will include focus groups with VTC graduates, and quantitative analyses of the service provision networks of three VTCs.