BACKGROUND: A previous scoping review of legal-involved veterans\' health and healthcare (1947-2017) identified studies and their limitations. Given the influx of literature published recently, this study aimed to update the previous review and map articles to the Veterans-Sequential Intercept Model (V-SIM) - a conceptual model used by key partners, including Veterans Health Administration, veteran advocates, criminal justice practitioners, and local governments to identify intercept points in the criminal legal system where resources and programming can be provided. Developing an updated resource of literature is essential to inform current research, discover gaps, and highlight areas for future research.
METHODS: A systematic search of 5 databases identified articles related to legal-involved veterans\' health and healthcare published between December 2017 through December 2022. The first and senior authors conducted abstract reviews, full-text reviews, and data extraction of study characteristics. Finally, each article was sorted by the various intercept points from the V-SIM.
RESULTS: Of 903 potentially relevant articles, 107 peer-reviewed publications were included in this review, most related to mental health (66/107, 62%) and used an observational quantitative study design (95/107, 89%). Although most articles did not explicitly use the V-SIM to guide data collection, analyses, or interpretation, all could be mapped to this conceptual model. Half of the articles (54/107, 50%) collected data from intercept 5 (Community Corrections and Support Intercept) of the V-SIM. No articles gathered data from intercepts 0 (Community and Emergency Services Intercept), 1 (Law Enforcement Intercept), or 2 (Initial Detention and Court Hearings Intercept).
CONCLUSIONS: There were 107 articles published in the last five years compared to 190 articles published in 70 years covered in the last review, illustrating the growing interest in legal-involved veterans. The V-SIM is widely used by front-line providers and clinical leadership, but not by researchers to guide their work. By clearly tying their research to the V-SIM, researchers could generate results to help guide policy and practice at specific intercept points. Despite the large number of publications, research on prevention and early intervention for legal-involved veterans is lacking, indicating areas of great need for future studies.

Within the United States, approximately 330 000 military veterans die annually, but only 5% of deaths occur in Veterans Health Administration (VHA) facilities. To help provide end-of-life care for veterans, the VHA built community partnerships with community hospice and palliative care (HPC) organizations. Veterans experience unique psychosocial factors making it vital to ensure HPC organizations have access to veteran-specific knowledge and resources to reduce suffering. To better understand the strengths and limitations of these partnerships, community HPC staff (N = 483) responded to quantitative and qualitative survey questions developed using an access to care theory for veterans. Survey responses demonstrated variable perceptions of access to VHA care and resources. Respondents reported excellent experiences (44%) and relationships with their local facility (50%) and had a reliable contact who provided needed assistance (92%). Thematic analysis identified a need for VHA care and barriers to access, which were associated with technical characteristics, and geographical and cultural issues. These findings can help inform future research and policy regarding access to VHA resources for end-of-life care for veterans in the community and guide resource development for community HPC providers.

BACKGROUND: Access to mental health care has been a priority area for the U.S. Department of Veterans Affairs (DVA) for decades. Access for veterans with PTSD is essential because untreated PTSD is associated with numerous adverse outcomes. Although interventions have been developed to improve access to DVA mental health care, the impact of these interventions on access for veterans with untreated PTSD has not been examined comprehensively, limiting guidance on appropriate implementation.
METHODS: We conducted a systematic review of PubMed and PTSDpubs between May 2019 and January 2022 to identify DVA access interventions for veterans with PTSD not engaged in DVA mental health care. We identified 17 interventions and 29 manuscripts reporting quantitative access outcomes. We categorized interventions into four major categories: Primary care mental health integration, other national initiatives, telemental health, and direct outreach. We evaluated five outcome domains: Binary attendance, number of sessions attended, wait time, number of patients seen, and care initiation. We assessed the risk of bias using the Cochrane Collaboration criteria.
RESULTS: Across articles, binary attendance generally improved, whereas the impact on the number of sessions attended was equivocal. Overall, the number of patients seen increased compared to control participants and retrospective data. The few articles that examined care initiation had mixed results. Only one article examined the impact on wait time.
CONCLUSIONS: Access interventions for veterans with PTSD demonstrated varied success across interventions and outcomes. The national initiatives-particularly primary care mental health integration -were successful across several outcomes; telemental health demonstrated promise in improving access; and the success of direct outreach varied across interventions. Confidence in these findings is tempered by potential bias among studies. Limited literature on how these interventions impact relevant preattendance barriers, along with incomplete data on how many perform nationally, suggests that additional work is needed to ensure that these interventions increase access for veterans with PTSD nationwide.

UNASSIGNED: Representative surgical case sampling, rather than universal review, is used by US Department of Veterans Affairs (VA) and private-sector national surgical quality improvement (QI) programs to assess program performance and to inform local QI and performance improvement efforts. However, it is unclear whether case sampling is robust for identifying hospitals with safety or quality concerns.
UNASSIGNED: To evaluate whether the sampling strategy used by several national surgical QI programs provides hospitals with data that are representative of their overall quality and safety, as measured by 30-day mortality.
UNASSIGNED: This comparative effectiveness study was a national, hospital-level analysis of data from adult patients (aged ≥18 years) who underwent noncardiac surgery at a VA hospital between January 1, 2016, and September 30, 2020. Data were obtained from the VA Surgical Quality Improvement Program (representative sample) and the VA Corporate Data Warehouse surgical domain (100% of surgical cases). Data analysis was performed from July 1 to December 21, 2022.
UNASSIGNED: The primary outcome was postoperative 30-day mortality. Quarterly, risk-adjusted, 30-day mortality observed-to-expected (O-E) ratios were calculated separately for each hospital using the sample and universal review cohorts. Outlier hospitals (ie, those with higher-than-expected mortality) were identified using an O-E ratio significantly greater than 1.0.
UNASSIGNED: In this study of data from 113 US Department of Veterans Affairs hospitals, the sample cohort comprised 502 953 surgical cases and the universal review cohort comprised 1 703 140. The majority of patients in both the representative sample and the universal sample were men (90.2% vs 91.1%) and were White (74.7% vs 74.5%). Overall, 30-day mortality was 0.8% and 0.6% for the sample and universal review cohorts, respectively (P < .001). Over 2145 quarters of data, hospitals were identified as an outlier in 11.7% of quarters with sampling and in 13.2% with universal review. Average hospital quarterly 30-day mortality rates were 0.4%, 0.8%, and 0.9% for outlier hospitals identified using the sample only, universal review only, and concurrent identification in both data sources, respectively. For nonsampled cases, average hospital quarterly 30-day mortality rates were 1.0% at outlier hospitals and 0.5% at nonoutliers. Among outlier hospital quarters in the sample, 47.4% were concurrently identified with universal review. For those identified with universal review, 42.1% were concurrently identified using the sample.
UNASSIGNED: In this national, hospital-level study, sampling strategies employed by national surgical QI programs identified less than half of hospitals with higher-than-expected perioperative mortality. These findings suggest that sampling may not adequately represent overall surgical program performance or provide stakeholders with the data necessary to inform QI efforts.

Implementation intentions (if-then plans) are an evidence-based behavior change strategy designed to translate behavioral intentions into habits [1]. Despite extensive evidence of its potential utility, this behavior change strategy is underutilized and under-researched in high-need healthcare contexts within the United States (U.S.) which face high rates of chronic conditions and barriers to care such as rurality, lack of resources, and cognitive strain from mental health and neurological conditions [2,3]. Implementation intentions have demonstrated efficacy in promoting many health behaviors proven to mitigate chronic conditions, namely physical activity, healthy diet, and substance use reduction [4-6]. In addition, the accessible, adaptable, and self-driven nature of implementation intentions allow the technique to meet many of the individual and system-level priorities of these high-need care contexts. By being patient-driven, proactive, and personalized, implementation intentions can help these patients cultivate healthy habits as part of their everyday lives. At the systems-level, implementation intentions\' inexpensiveness, scalability, and compatibility with telemedicine platforms allow them to be integrated easily into existing healthcare system infrastructure [7,8]. This review describes these concepts in detail, and uses the Veterans Affairs (VA) healthcare system as an exemplar to provide concrete examples of how and where implementation intentions could be integrated in a healthcare system, within some existing programs, to benefit both the system and individual patients.

Guidelines strongly recommend trauma-focused therapies to treat posttraumatic stress disorder. Implementation of cognitive processing therapy (CPT) and prolonged exposure (PE) in Veterans Health Administration (VHA) and non-VHA settings began in 2006. We conducted a systematic review of implementation facilitators and challenges and strategies to address barriers. We searched MEDLINE, Embase, PsycINFO, and CINAHL from inception until March 2021 for English-language articles. Two individuals reviewed eligibility and rated quality. Quantitative results were abstracted by one reviewer and verified by a second. Qualitative results were independently coded by two reviewers and finalized through consensus. We used RE-AIM and CFIR frameworks to synthesize findings. 29 eligible studies addressed CPT/PE, mostly conducted in VHA. Training/education with audit/feedback was the primary implementation strategy and was linked to improved provider CPT/PE perceptions and self-efficacy. Use was not widespread. Only six studies tested other implementation strategies with mixed impact. Following VHA implementation, strong support for training, perceived effectiveness for patients and benefits for clinics, and positive patient experiences and relationships with providers were reported. However, barriers persisted including perceived protocol inflexibility, complex referral processes and patient complexity and competing needs. In non-VHA settings, providers perceived fewer barriers, but few were CPT/PE trained. Across both settings, fewer studies targeted patient factors. Training/education with audit/feedback improved perceptions and the availability of CPT/PE, but not consistent use. Studies testing implementation strategies to address post-training challenges, including patient-level factors, are needed. A few studies are underway in VHA to test patient-focused and other implementation strategies. Research assessing actual vs perceived barriers in non-VHA settings is needed to elucidate unique challenges experienced.

BACKGROUND: The Veterans Health Administration (VHA) is the largest healthcare network in the USA and has been a national leader in opioid safety for acute pain management. However, detailed information on the availability and characteristics of acute pain services within its facilities is lacking. We designed this project to assess the current state of acute pain services within the VHA.
METHODS: A 50-question electronic survey developed by the VHA national acute pain medicine committee was emailed to anesthesiology service chiefs at 140 VHA surgical facilities within the USA. Data collected were analyzed by facility complexity level and service characteristics.
RESULTS: Of the 140 VHA surgical facilities contacted, 84 (60%) completed the survey. Thirty-nine (46%) responding facilities had an acute pain service. The presence of an acute pain service was associated with higher facility complexity level designation. The most common staffing model was 2.0 full-time equivalents, which typically included at least one physician. Services performed most by formal acute pain programs included peripheral nerve catheters, inpatient consult services, and ward ketamine infusions.
CONCLUSIONS: Despite widespread efforts to promote opioid safety and improve pain management, the availability of dedicated acute pain services within the VHA is not universal. Higher complexity programs are more likely to have acute pain services, which may reflect differential resource distribution, but the barriers to implementation have not yet been fully explored.

In response to concerns about healthcare access and long wait times within the Veterans Health Administration (VA), Congress passed the Choice Act of 2014 and the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act of 2018 to create a program for patients to receive care in non-VA sites of care, paid by VA. Questions remain about the quality of surgical care between these sites in specific and between VA and non-VA care in general. This review synthesizes recent evidence comparing surgical care between VA and non-VA delivered care across the domains of quality and safety, access, patient experience, and comparative cost/efficiency (2015 to 2021). Eighteen studies met the inclusion criteria. Of 13 studies reporting quality and safety outcomes, 11 reported that quality and safety of VA surgical care were as good as or better than non-VA sites of care. Six studies of access did not have a preponderance of evidence favoring care in either setting. One study of patient experience reported VA care as about equal to non-VA care. All 4 studies of cost/efficiency outcomes favored non-VA care. Based on limited data, these findings suggest that expanding eligibility for veterans to get care in the community may not provide benefits in terms of increasing access to surgical procedures, will not result in better quality, and may result in worse quality of care, but may reduce inpatient length of stay and perhaps cost less.

The Veterans Health Administration (VA) serves Veterans in the nation\'s largest integrated healthcare system. VA seeks to provide high quality of healthcare to Veterans, but due to the VA Choice and MISSION Acts, VA increasingly pays for care outside of its system in the community. This systematic review compares care provided in VA and non-VA settings, and includes published studies from 2015 to 2023, updating 2 prior systematic reviews on this topic.
We searched PubMed, Web of Science, and PsychINFO from 2015 to 2023 for published literature comparing VA and non-VA care, including VA-paid community care. Records were included at the abstract or full-text level if they compared VA medical care with care provided in other healthcare systems, and included clinical quality, safety, access, patient experience, efficiency (cost), or equity outcomes. Data from included studies was abstracted by two independent reviewers, with disagreements resolved by consensus. Results were synthesized narratively and via graphical evidence maps.
Thirty-seven studies were included after screening 2415 titles. Twelve studies compared VA and VA-paid community care. Most studies assessed clinical quality and safety, and studies of access were second most common. Only six studies assessed patient experience and six assessed cost or efficiency. Clinical quality and safety of VA care was better than or equal to non-VA care in most studies. Patient experience in VA care was better than or equal to experience in non-VA care in all studies, but access and cost/efficiency outcomes were mixed.
VA care is consistently as good as or better than non-VA care in terms of clinical quality and safety. Access, cost/efficiency, and patient experience between the two systems are not well studied. Further research is needed on these outcomes and on services widely used by Veterans in VA-paid community care, like physical medicine and rehabilitation.

The Veterans Health Administration (VHA) implemented the Stratification Tool for Opioid Risk Mitigation (STORM) to reduce the risk of serious adverse events (SAE) among patients with opioid analgesic prescriptions. VHA facilities were mandated to case review patients identified as high risk by STORM. The aim of this study was to measure the effect of this mandate on all-cause mortality and SAEs among VHA patients newly diagnosed with opioid use disorder (OUD).
Secondary analysis of a stepped-wedged cluster randomized controlled trial conducted at all 140 VHA facilities, with facility as the unit of randomization, from 2018 to 2020.
United States VHA facilities were randomized to case review the top 1 or 5% of high-risk patients prescribed opioid analgesics identified by STORM. A total of 28 251 patients were diagnosed with OUD during the trial and were considered control or treatment depending on the status of the facility where they received their OUD diagnosis. Post-hoc analyses among patients who had at least one opioid analgesic prescription in the 90 days prior to diagnosis were conducted and were then stratified by receipt of a prescription in the 90 days following diagnosis to assess the sensitivity of results to opioid discontinuation.
All-cause mortality and opioid-related, drug-related, suicide-related and other SAEs within 90 days of OUD diagnosis.
Mandated case review increased the odds of 90-day mortality [odds ratio (OR) = 1.74, 95% confidence interval (CI) = 1.06, 2.87], but did not significantly change the odds of SAEs. Among patients who received an opioid prescription prior to but not after OUD diagnosis, the odds of all-cause mortality within 90 days was 5.87 (95% CI = 1.85, 18.58) relative to control patients.
Veterans Health Administration patients newly diagnosed with opioid use disorder experienced increased all-cause mortality following expansion of a case review mandate for high-risk patients prescribed opioids.