Adopting the RE-AIM analytic framework for rural program evaluation: experiences from the Advance Care Planning via Group Visits (ACP-GV) national evaluation.

Introduction: To support rigorous evaluation across a national portfolio of grants, the United States Department of Veterans Affairs (VA) Office of Rural Health (ORH) adopted an analytic framework to guide their grantees' evaluation of initiatives that reach rural veterans and to standardize the reporting of outcomes and impacts. Advance Care Planning via Group Visits (ACP-GV), one of ORH's Enterprise-Wide Initiatives, also followed the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. ACP-GV is a national patient-centered intervention delivered in a large, veterans integrated healthcare system. This manuscript describes how RE-AIM was used to evaluate this national program and lessons learned from ORH's annual reporting feedback to ACP-GV on their use of the framework to describe evaluation impacts. Methods: We used patient, provider, and site-level administrative health care data from the VA Corporate Data Warehouse and national program management databases for federal fiscal years (FY) spanning October 1, 2018-September 30, 2023. Measures included cumulative and past FY metrics developed to assess program impacts. Results: RE-AIM constructs included the following cumulative and annual program evaluation results. ACP-GV reached 54,167 unique veterans, including 19,032 unique rural veterans between FY 2018 to FY 2023. During FY 2023, implementation adherence to the ACP-GV model was noted in 91.7% of program completers, with 55% of these completers reporting a knowledge increase and 14% reporting a substantial knowledge increase (effectiveness). As of FY 2023, 66 ACP-GV sites were active, and 1,556 VA staff were trained in the intervention (adoption). Of the 66 active sites in FY 2023, 27 were sites previously funded by ORH and continued to offer ACP-GV after the conclusion of three years of seed funding (maintenance). Discussion: Lessons learned developing RE-AIM metrics collaboratively with program developers, implementers, and evaluators allowed for a balance of clinical and scientific input in decision-making, while the ORH annual reporting feedback provided specificity and emphasis for including both cumulative, annual, and rural specific metrics. ACP-GV's use of RE-AIM metrics is a key step towards improving rural veteran health outcomes and describing real world program impacts.

Application of motivational interviewing to group: Teaching advance care planning via group visits for clinical professionals.

OBJECTIVE: Advance Care Planning (ACP) via Group Visits (ACP-GV) is an innovative patient-centered intervention used in the United States Department of Veterans Affairs (VA) healthcare system. The goal of ACP-GV is to spread ACP to veterans and caregivers in medically underserved rural areas. Veterans, caregivers and those they trust participate in a group led by clinicians in Veterans Health Administration healthcare and/or community-based settings. To learn how to facilitate ACP-GV, clinicians attend ACP-GV training. The training teaches the ACP-GV group model and the theoretical components of Motivational Interviewing (MI) (Rollnick & Miller, 1995), which are used to empower participants to have conversations about their healthcare values and preferences. Therefore, the aim is to describe the specific MI techniques utilized by group facilitators in the innovative ACP-GV intervention. DISCUSSION: We provide exemplars for how group facilitators apply the MI techniques to the group discussion with participants. Lastly, we provide a scripted case example of a coded MI-concordant session of ACP-GV delivered with veterans in a healthcare setting that can be used in future training and education for clinicians interested in facilitating ACP using a group modality. CONCLUSION: MI is a key aspect of delivering ACP-GV, a high-quality, patient-centered intervention for veterans, caregivers and those they trust.

"Advancing" Advance Care Planning to Veterans in the Veterans Health Administration.

INTRODUCTION: The completion rate of Advance Directive (ADs) in the Veterans Health Administration (VHA) is unknown. There is substantial literature on the need for effective Advance Care Planning (ACP) that leads to an AD to ensure that health care preferences for patients are known. Advance Directive are essential to consider since ACP, which explains and plans Advance Directive, does not reach all individuals. Health inequities, such as those experienced in rural areas, continue to exist. While ACP may disproportionately affect rural-residing veterans and their providers, a VHA program was specifically designed to increase ACP engagement with rural veterans and to address several systemic barriers to ACP. MATERIALS AND METHODS: This descriptive analysis seeks to identify patient, provider, and geographic characteristics associated with higher rates of ACP participation in VHA. An observational examination of the profile of veterans and the types of ACP (e.g., individual or in groups) using administrative data for all beneficiaries receiving VHA health care services in federal fiscal year (FY) 2020 was conducted as part of a national program evaluation. The measures include patient-level data on demographics (e.g., race, ethnicity, gender), unique patient identifiers (e.g., name, social security number), geographic characteristics of patient's location (e.g., rurality defined as Rural-Urban Commuting Areas [RUCA]), VHA priority group; provider-level data (e.g., type of document definition, clinic stop codes, visit date used to verify Advance Care Planning via Group Visits [ACP-GV] attendance; data not shown), and electronic health record note titles that indicated the presence of ACP in VHA (e.g., "Advance Directive [AD] Discussion" note title, "ACP-GV CHAR 4 code"). Pearson's chi-square statistics were used for between-group comparisons based on a two-sided test with a significance level of 0.05. RESULTS: The overall rate of AD discussions among unique VHA users in FY2020 was 5.2% (95% CI: 5.2%-5.2%) and for Advance Care Planning via Group Visits, which targets rural veterans using groups, it was 1.8% (95% CI: 1.8%-1.9%). Advance Directive discussions in VHA are more successful at reaching middle age (M = 64; SD = 16), African Americans, males, veterans living in urban areas, and veterans with a VA disability (Priority Group 1-4). Advance Care Planning delivered in groups is reaching slightly younger veterans under the age of 75 years (M = 62; SD = 15), African Americans, females, disabled veterans (e.g., Priority Group 1-4), and more veterans residing in rural communities compared to the national population of VHA users. CONCLUSION: Advance Directive discussion rates are low across VHA, yet intentional efforts with ACP via group visits are reaching veterans who are considered underserved owing to residing in rural areas. Advance Care Planning needs to be a well-informed clinical priority for VHA to engage with the entire veteran population and to support the completion of ADs.

Complete Clinicopathological Case Report of a Young Patient Dying of COVID-19-Related Stroke.

ABSTRACT: The SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic has revealed diverse neurological manifestations of coronavirus disease 2019 (COVID-19). This case report begins with a background review of the neurological effects of COVID-19, focusing on stroke, neuroinflammation, and coagulopathy. It then describes the clinical course and autopsy findings of a young patient presenting with COVID-19-associated stroke. The formal neuropathological examination is presented, along with the systemic and brain histological features. Interesting aspects include multiterritory hemorrhagic infarctions, microinfarcts throughout the cortex and white matter, and prominent mixed inflammatory cell cuffing of intracerebral blood vessels distant from the infarcts.

Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration.

Social factors account more for health outcomes than medical care, yet health services research in this area is limited due to the lack of social factors data contained within electronic health records (EHR) systems. Few investigations have examined how cumulative burdens of co-occurring adverse social factors impact health outcomes. From 293,872 patients in one region of the Veterans Health Administration (VHA), we examined how increasing numbers of adverse social factors extracted from the EHR were associated with mortality across a one-year period for male and female patients. Adverse social factors were identified using four sources in the EHR: responses to universal VHA screens, International Classification of Disease (ICD) diagnostic codes that indicate social factors, receipt of VHA services related to social factors, and templated social work referrals. Seven types of adverse social factors were coded: violence, housing instability, employment or financial problems, legal issues, social or familial problems, lack of access to care or transportation, and nonspecific psychosocial needs. Overall, each increase in an adverse social factor was associated with 27% increased odds of mortality, after accounting for demographics, medical comorbidity, and military service-related disability. Non-specific psychosocial factors were most strongly associated with mortality, followed by social or familial problems. Although women were more likely than men to have multiple adverse social factors, social factors were not associated with mortality among women as they were among men. By incorporating social factors data, health care systems can better understand patient all-cause mortality and identify potential prevention efforts built around social determinants.

Social determinants and emergency department utilization: Findings from the Veterans Health Administration.

BACKGROUND: Social determinants of health (SDH) are strong predictors of morbidity and mortality but health care systems struggle to integrate documentation of SDH into health records in ways that can be used for health services research. Given the impact of social factors on health, it is important to examine the relationship with emergency department (ED) utilization. OBJECTIVE: To examine the association between seven indicators of SDH and ED utilization using electronic health record (EHR) data from the Veterans Health Administration (VHA). METHODS: This cross-sectional analysis included data from all patients who had at least one health care visit in the Veterans Integrated Service Network region 4 from October 1, 2015 through September 30, 2016 (n=293,872). Seven categories of adverse SDH included violence, housing instability, employment or financial problems, legal problems, social or family problems, lack of access to care or transportation, and non-specific psychosocial needs identified through structured coding in EHR. Negative binomial regression was used to examine the association of the count of adverse SDH (0-7) with the count of ED visits, adjusting for socio-demographic and health-related factors. RESULTS: Approximately 18% of patients visited the ED during the observation period. After adjusting for covariates, adverse SDH were positively associated with VHA ED utilization. Each of the SDH indicators, other than legal issues, was positively associated with increased ED utilization. CONCLUSION: Even after accounting for several demographic and health-related factors, adverse SDH demonstrated strong positive associations with VHA ED utilization.

Embedding Social Workers In Veterans Health Administration Primary Care Teams Reduces Emergency Department Visits.

While an emerging body of evidence suggests that medical homes may yield more benefits than traditional care models do, the role of social workers within medical homes has yet to be evaluated separately. We assessed the impact of an initiative to add social workers to rural primary care teams in the Veterans Health Administration on patients' use of social work services, hospital admissions, and emergency department visits. We found that introducing a social worker increased social work encounters by 33 percent among all veterans who received care. Among high-risk patients, we observed a 4.4 percent decrease in the number of veterans who had any acute hospital admission and a 3.0 percent decrease in veterans who had any emergency department visit, after the introduction of a social worker. Investing in social workers is a key strategy for addressing the social determinants of health and managing care coordination for high-risk, high-need populations.