Department Of Veterans Affairs Research Articles

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.

Women Veterans’ Barriers to Care-Seeking for Cardiovascular Disease Prevention

Background Women veterans have a high prevalence of traditional and nontraditional risks for cardiovascular disease (CVD) including obesity and posttraumatic stress disorder. Experts from the U.S. Department of Veterans Affairs have called for actions to improve the cardiovascular health of this population. One approach is to assess women veterans’ barriers to care-seeking for CVD prevention, to inform future intervention research. Objective The objective of this study was to describe women veterans’ barriers to care-seeking for CVD prevention, guided by the theory of care-seeking behavior and concept awareness. Methods Using a cross-sectional, descriptive design, a national sample of 245 women veterans participated in an online survey about barriers to care-seeking. Participants provided narrative responses to open-ended items, endorsements to closed-ended items, and rankings of their top five barriers. Researchers conducted poststratification weighting of numerical data to reflect the women veteran population. Results Narrative responses described unaffordable and inaccessible services, feeling harassed or not respected in healthcare settings, and lack of awareness of risks for CVD. Frequently endorsed barriers were unaffordable and inaccessible services. Frequently ranked barriers were feeling not respected in healthcare settings and clinicians not recommending CVD prevention. Discussion Findings support concepts in theory of care-seeking behavior and concept awareness. Understanding women veterans’ barriers to care-seeking for CVD prevention can inform clinicians and researchers as they address these barriers.

Provider Perceived Facilitators and Barriers to Identifying, Perceiving, and Seeking Healthcare for Chronic Pain After TBI: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project.

Identify determinants to chronic pain healthcare for persons with traumatic brain injury (TBI) informed by an Access to Care Framework. Findings related to the Access Framework's core domains of identifying a need, perceptions of the need, and seeking healthcare are reported. Community. Healthcare providers (n = 63) with 2 or more years of experience treating persons with TBI interviewed between October 2020 and November 2021. Descriptive, qualitative study. Semi-structured interviews with open-ended questions of chronic pain management for persons with TBI. Informed by the Access Framework, responses were coded by and categorized within the domains of identifying healthcare needs, perceptions of needs, and factors related to healthcare seeking from the supply and demand perspective. For the overall sample, 14 facilitators and 6 barriers were endorsed by more than 20% of the provider cohort. Top facilitators included on-site availability of needed resources and treatments (94%), adequate time and provider capability to ensure patient comprehension of diagnosis and treatment plans (83%), and establishing patient motivation and buy-in with the treatment plan (75%). Barriers most endorsed included policies impacting access (46%), wait times for services (41%), and patient uncertainty regarding telehealth commonly due to cognitive and physical challenges (37%). Unique determinants are reported across civilian versus Department of Veterans Affairs (VA) healthcare systems and different provider types. This is the first evidence-based study to inform policy and planning to improve access to high-quality chronic pain treatments for persons with TBI. Results will inform future interventions at the systems, patient, and policy levels of healthcare that can be tailored to healthcare settings (VA, Civilian) and types of providers (rehabilitation therapists, psychologists, and medical). Evidence-informed interventions may help minimize healthcare disparities experienced by persons with TBI and facilitate access to high-quality, evidence-informed chronic pain care.

Case Sampling for Evaluating Hospital Postoperative Morbidity in US Surgical Quality Improvement Programs

US surgical quality improvement (QI) programs use data from a systematic sample of surgical cases, rather than universal review of all cases, to assess and compare risk-adjusted hospital postoperative complication rates. Given decreasing postoperative complication rates over time and the types of cases eligible for abstraction, it is unclear whether case sampling is robust for identifying hospitals with higher than expected complications. To compare the assessment of hospital 30-day complication rates derived from sampling strategy used by some US surgical QI programs relative to universal review of all cases. This US hospital-level analysis took place from January 1, 2016, through September 30, 2020. Data analysis was performed from July 1, 2022, through December 21, 2022. Quarterly, risk-adjusted, 30-day complication observed to expected (O-E) ratios were calculated for each hospital using the sample (n = 502 730) and universal review (n = 1 725 364). Outlier hospitals (ie, those with higher than expected mortality) were identified using an O-E ratio significantly greater than 1.0. Patients 18 years and older who underwent a noncardiac operation at US Department of Veterans Affairs (VA) hospitals with a record in the VA Surgical Quality Improvement Program (systematic sample) and the VA Corporate Data Warehouse surgical domain (100% of surgical cases) were included. Thirty-day complications. Most patients in both the representative sample and the universal sample were men (90.2% vs 91.2%) and White (74.7% vs 74.5%). Overall, 30-day complication rates were 7.6% and 5.3% for the sample and universal review cohorts, respectively (P < .001). Over 2145 hospital quarters of data, hospitals were identified as an outlier in 15.0% of quarters using the sample and 18.2% with universal review. Average hospital quarterly complication rates were 4.7%, 7.2%, and 7.4% for outliers identified using the sample only, universal review only, and concurrent identification in both data sources, respectively. For nonsampled cases, average hospital quarterly complication rates were 7.0% at outliers and 4.4% at nonoutliers. Among outlier hospital quarters in the sample, 54.2% were concurrently identified with universal review. For those identified with universal review, 44.6% were concurrently identified using the sample. In this observational study, case sampling identified less than half of hospitals with excess risk-adjusted postoperative complication rates. Future work is needed to ascertain how to best use currently collected data and whether alternative data collection strategies may be needed to better inform local QI efforts.

IMPLEMENTING AGE-FRIENDLY HEALTH SYSTEMS: SCALING 4MS CARE ACROSS VA

Abstract The U.S. Department of Veterans Affairs (VA) provides health care to 9 million enrolled Veterans across a variety of settings. Nearly 50% of enrolled Veterans are age 65 and older, compared to 16% of the U.S. population. The VA has set out to become the largest integrated Age-Friendly Health System (AFHS), using the 4Ms as a framework to improve care for older adults: what Matters, Medication, Mentation and Mobility. When implemented together, the 4Ms allow interprofessional teams and health systems to provide care consistent with what Matters to each older adult. Since joining AFHS movement in 2020, over 190 care settings at 100 VA facilities have earned recognition from the Institute for Healthcare Improvement (IHI). VA has identified key drivers to scale-up and spread 4Ms care at the national, local, and team level. Drivers include active and visible national leadership, building a coalition of local champions, and regular commmunication with teams. VA has accelerated adoption of the 4Ms by following IHI’s Action Community (AC) model. At close of registration, 145 teams from 69 VA facilities enrolled in the VA AC. The VA AC offered a series of monthly webinars and coaching calls to empower teams to create a 4Ms plan building on exisiting best practices. In addition to using evidence-based tools identified by IHI, teams may also leverage VA clinical innovations to support their 4Ms plan. Implementation of AFHS provides a framework for interdisciplinary teams to continuously improve Veteran-centered care and ultimately, fulfill VA’s mission to honor America’s aging Veterans.