Veterans receiving care within the Veterans Health Administration (VA) are a unique population with distinctive cultural traits and healthcare needs compared to the civilian population. Modifications to evidence-based interventions (EBIs) developed outside of the VA may be useful to adapt care to the VA healthcare system context or to specific cultural norms among veterans. We sought to understand how EBIs have been modified for veterans and whether adaptations were feasible and acceptable to veteran populations.
We conducted a scoping review of EBI adaptations occurring within the VA at any time prior to June 2021. Eligible articles were those where study populations included veterans in VA care, EBIs were clearly defined, and there was a comprehensive description of the EBI adaptation from its original context. Data was summarized by the components of the Framework for Reporting Adaptations and Modifications to Evidence-based interventions (FRAME).
We retrieved 922 abstracts based on our search terms. Following review of titles and abstracts, 49 articles remained for full-text review; eleven of these articles (22%) met all inclusion criteria. EBIs were adapted for mental health (n = 4), access to care and/or care delivery (n = 3), diabetes prevention (n = 2), substance use (n = 2), weight management (n = 1), care specific to cancer survivors (n = 1), and/or to reduce criminal recidivism among veterans (n = 1). All articles used qualitative feedback (e.g., interviews or focus groups) with participants to inform adaptations. The majority of studies (55%) were modified in the pre-implementation, planning, or pilot phases, and all were planned proactive adaptations to EBIs.
The reviewed articles used a variety of methods and frameworks to guide EBI adaptations for veterans receiving VA care. There is an opportunity to continue to expand the use of EBI adaptations to meet the specific needs of veteran populations.

In the unique context of rural Veterans\' health care needs, expansion of US Department of Veterans Affairs and Community Care programs under the MISSION Act, and the uncertainties of coronavirus disease 2019 (COVID-19), it is critical to understand what may support effective interorganizational care coordination for increased access to high-quality care.
We conducted a systematic review to examine the interorganizational care coordination initiatives that Veterans Affairs (VA) and community partners have pursued in caring for rural Veterans, including challenges and opportunities, organizational domains shaping care coordination, and among these, initiatives that improve or impede health care outcomes.
We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search 2 electronic databases (PubMed and Embase) for peer-reviewed articles published between January 2009 and May 2020. Building on prior research, we conducted a systematic review.
Sixteen articles met our criteria. Each captured a unique health care focus while examining common challenges. Four organizational domains emerged: policy and administration, culture, mechanisms, and relational practices. Exemplars highlight how initiatives improve or impede rural health care delivery.
This is the first systematic review, to our knowledge, examining interorganizational care coordination of rural Veterans by VA and Community Care programs. Results provide exemplars of interorganizational care coordination domains and program effectiveness. It suggests that partners\' efforts to align their coordination domains can improve health care, with rurality serving as a critical contextual factor. Findings are important for policies, practices, and research of VA and Community Care partners committed to improving access and health care for rural Veterans.

Administrative data are increasingly used in research and evaluation yet lack standardized guidelines for constructing measures using these data. Body weight measures from administrative data serve critical functions of monitoring patient health, evaluating interventions, and informing research. This study aimed to describe the algorithms used by researchers to construct and use weight measures.
A structured, systematic literature review of studies that constructed body weight measures from the Veterans Health Administration was conducted. Key information regarding time frames and time windows of data collection, measure calculations, data cleaning, treatment of missing and outlier weight values, and validation processes was collected.
We identified 39 studies out of 492 nonduplicated records for inclusion. Studies parameterized weight outcomes as change in weight from baseline to follow-up (62%), weight trajectory over time (21%), proportion of participants meeting weight threshold (46%), or multiple methods (28%). Most (90%) reported total time in follow-up and number of time points. Fewer reported time windows (54%), outlier values (51%), missing values (34%), or validation strategies (15%).
A high variability in the operationalization of weight measures was found. Improving methods to construct clinical measures will support transparency and replicability in approaches, guide interpretation of findings, and facilitate comparisons across studies.

OBJECTIVE: Treatment utilization among veterans with posttraumatic stress disorder (PTSD) is low. Understanding correlates and predictors of mental health care for veterans with PTSD is critical to facilitating treatment utilization. However, given the size of the literature base and disparate findings, it is difficult to interpret available research. Correlates and predictors of mental health care for veterans with PTSD published between 2012 and 2016 were examined to (a) define the scope of recent literature and (b) summarize predictive evidence.
METHODS: This 2-phase systematic review conducted scientific database searches. Phase 1 defined the scope of recent literature (n = 51) and tabulated types of correlates, outcomes, and sources of bias. Phase 2 summarized results from prospective studies (n = 17) evaluating mental health care utilization (PROSPERO ID No. CRD42017082686).
RESULTS: Demographics-social network characteristics (61%) and evaluated need (61%) were the most common correlates of mental health utilization. Facilitators with the strongest evidence for predicting utilization (both initiation and retention) were characteristics of the episode of care (e.g., mental health in primary care) and greater PTSD symptom severity. Study biases favoring Department of Veterans Affairs (VA) enrollees (92%) and excluding outside VA care outcomes (86%) limit generalizability of results.
CONCLUSIONS: Efforts focused on providing mental health in primary care, interventions to address mental health beliefs, and outreach to racial-ethnic minority veterans and those with mild to moderate PTSD could increase mental health care utilization. (PsycINFO Database Record (c) 2019 APA, all rights reserved).