Social Determinants of Long-Term Opioid Use Following Total Knee Arthroplasty.

Total knee arthroplasty (TKA) risks persistent pain and long-term opioid use (LTO). The role of social determinants of health (SDoH) in LTO is not well established. We hypothesized that SDoH would be associated with postsurgical LTO after controlling for relevant demographic and clinical variables. This study utilized data from the Veterans Affairs Surgical Quality Improvement Program, VA Corporate Data Warehouse, and Centers for Medicare and Medicaid Services, including Veterans aged ≥ 65 who underwent elective TKA between 2013 and 2019 with no postsurgical complications or history of significant opioid use. LTO was defined as > 90 days of opioid use beginning within 90 days postsurgery. SDoH variables included the Area Deprivation Index, rurality, and housing instability in the last 12 months identified via medical record screener or International Classification of Diseases, Tenth Revision codes. Multivariable risk adjustment models controlled for demographic and clinical characteristics. Of the 9,064 Veterans, 97% were male, 84.2% white, mean age was 70.6 years, 46.3% rural, 11.2% living in highly deprived areas, and 0.9% with a history of homelessness/housing instability. Only 3.7% (n = 336) developed LTO following TKA. In a logistic regression model of only SDoH variables, housing instability (odds ratio [OR] = 2.38, 95% confidence interval [CI]: 1.09-5.22) and rurality conferred significant risk for LTO. After adjusting for demographic and clinical variables, LTO was only associated with increasing days of opioid supply in the year prior to surgery (OR = 1.52, 95% CI: 1.43-1.63 per 30 days) and the initial opioid fill (OR = 1.07; 95% CI: 1.06-1.08 per day). Our primary hypothesis was not supported; however, our findings do suggest that patients with housing instability may present unique challenges for postoperative pain management and be at higher risk for LTO.

Facility-Level Variation in Racial Disparities in Anticoagulation for Atrial Fibrillation: The REACH-AF Study.

BACKGROUND: Oral anticoagulation reduces stroke risk for patients with atrial fibrillation (AF). Prior research demonstrates lower anticoagulant prescribing in Black than in White individuals but few studies have examined racial differences in facility-level anticoagulant prescribing for AF. OBJECTIVE: To assess variation in anticoagulant initiation by race within Veterans Health Administration (VA) facilities. DESIGN: Retrospective cohort study. PARTICIPANTS: Black and White patients enrolled in the VA with incident AF from 2020 through 2021. MAIN MEASURES: The primary outcome was rate of any anticoagulant initiation (i.e., warfarin or direct oral anticoagulant [DOAC]) or any DOAC therapy within 90 days of an AF diagnosis, overall and for Black and White patients at each facility. We also estimated the adjusted Black-White risk difference. KEY RESULTS: In 82 VA facilities serving 26,832 Black and White patients, overall unadjusted rates of any anticoagulant therapy ranged from 56.8 to 87.1% across facilities; the corresponding ranges for Black and White patients were 47.6 to 91.3% and 58.2 to 87.1%, respectively. Overall unadjusted rates of DOAC therapy ranged from 55.1 to 85.5% by facility; ranges for Black and White patients were 42.8 to 86.9% and 56.4 to 85.5%, respectively. The adjusted risk difference between Black and White patients ranged from - 29.9 (95% CI, - 54.9 to - 4.8) to 14.2 (95% CI, - 9.1 to 25.0) across facilities for any anticoagulant therapy and from - 28.8 (95% CI, - 58.3 to 0.8) to 15.0 (95% CI, - 8.0 to 38.1) for DOAC therapy. For any anticoagulant therapy there were 3 facilities where prescribing was statistically higher in White than Black patients; for DOAC therapy there were 5 such facilities. CONCLUSIONS: In a national cohort of patients with AF, we observed large facility-level variation and adjusted risk differences in any anticoagulant and DOAC initiation, overall and by race. These findings represent a target for local quality improvement in AF care.

Participation of Veterans Affairs Medical Centers in veteran-centric community-based service navigation networks: A mixed methods study.

OBJECTIVE: To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social needs. DATA SOURCES AND SETTING: Semi-structured interviews were conducted with AmericaServes and VAMC staff across seven regional networks. We matched administrative data to calculate the percentage of AmericaServes referrals that were successfully resolved (i.e., requested support was provided) in each network overall and stratified by whether clients were also VAMC patients. STUDY DESIGN: Convergent parallel mixed-methods study guided by Himmelman's Developmental Continuum of Change Strategies (DCCS) for interorganizational collaboration. DATA COLLECTION: Fourteen AmericaServes staff and 17 VAMC staff across seven networks were recruited using snowball sampling and interviewed between October 2021 and April 2022. Rapid qualitative analysis methods were used to characterize the extent and determinants of VAMC participation in networks. PRINCIPAL FINDINGS: On the DCCS continuum of participation, three networks were classified as networking, two as coordinating, one as cooperating, and one as collaborating. Barriers to moving from networking to collaborating included bureaucratic resistance to change, VAMC leadership buy-in, and not having VAMCs staff use the shared technology platform. Facilitators included ongoing communication, a shared mission of serving Veterans, and having designated points-of-contact between organizations. The percentage of referrals that were successfully resolved was lowest in networks engaged in networking (65.3%) and highest in cooperating (85.6%) and collaborating (83.1%) networks. For coordinating, cooperating, and collaborating networks, successfully resolved referrals were more likely among Veterans who were also VAMC patients than among Veterans served only by AmericaServes. CONCLUSIONS: VAMCs participate in AmericaServes Networks at varying levels. When partnerships are more advanced, successful resolution of referrals is more likely, especially among Veterans who are dually served by both organizations. Although challenges to establishing partnerships exist, this study highlights effective strategies to overcome them.

Addressing Veteran Health-Related Social Needs: How Joint Commission Standards Accelerated Integration and Expansion of Tools and Services in the Veterans Health Administration.

BACKGROUND: The Joint Commission recently named reduction of health care disparities and improvement of health care equity as quality and safety priorities (Leadership [LD] Standard LD.04.03.08 and National Patient Safety Goal [NPSG] Standard NPSG.16.01.01). As the largest integrated health system, the Veterans Health Administration (VHA) sought to leverage these new accreditation standards to further integrate and expand existing tools and initiatives to reduce health care disparities and address health-related social needs (HRSNs). INITIATIVES AND TOOLS: A combination of existing data tools (for example, Primary Care Equity Dashboard), resource tools (for example, Assessing Circumstances and Offering Resources for Needs tool), and a care delivery approach (for example, Whole Health) are discussed as quality improvement opportunities to further integrate and expand how VHA addresses health care disparities and HRSNs. The authors detail the development timeline, building, limitations, and future plans for these tools and initiatives. COORDINATION OF INITIATIVES: Responding to new health care equity Joint Commission standards led to new implementation strategies and deeper partnerships across VHA that facilitated expanded dissemination, technical assistance activities, and additional resources for VHA facilities to meet new standards and improve health care equity for veterans. Health care systems may learn from VHA's experiences, which include building actionable data platforms, employing user-centered design for initiative development and iteration, designing wide-reaching dissemination strategies for tools, and recognizing the importance of providing technical assistance for stakeholders. FUTURE DIRECTIONS: VHA continues to expand implementation of a diverse set of tools and resources to reduce health care disparities and identify and address unmet individual veteran HRSNs more widely and effectively.

Developing a brief assessment of social risks for the Veterans Health Administration Survey of Healthcare Experiences of Patients.

OBJECTIVE: To determine whether a 6- or 12-month look-back period affected rates of reported social risks in a social risk survey for use in the Veterans Health Administration and to assess associations of social risks with overall health and mental health. STUDY DESIGN: Cross-sectional survey of respondents randomized to 6- or 12-month look-back period. DATA SOURCES AND STUDY SETTING: Online survey with a convenience sample of Veterans in June and July 2021. DATA COLLECTION/EXTRACTION METHODS: Veteran volunteers were recruited by email to complete a survey assessing social risks, including financial strain, adult caregiving, childcare, food insecurity, housing, transportation, internet access, loneliness/isolation, stress, discrimination, and legal issues. Outcomes included self-reported overall health and mental health. Chi-squared tests compared the prevalence of reported social risks between 6- and 12-month look-back periods. Spearman correlations assessed associations among social risks. Bivariate and multivariable logistic regression models estimated associations between social risks and fair/poor overall and mental health. PRINCIPAL FINDINGS: Of 3418 Veterans contacted, 1063 (31.10%) responded (87.11% male; 85.61% non-Hispanic White; median age = 70, interquartile range [IQR] = 61-74). Prevalence of most reported social risks did not significantly differ by look-back period. Most social risks were weakly intercorrelated (median |r| = 0.24, IQR = 0.16-0.31). Except for legal issues, all social risks were associated with higher odds of fair/poor overall health and mental health in bivariate models. In models containing all significant social risks from bivariate models, adult caregiving and stress remained significant predictors of overall health; food insecurity, housing, loneliness/isolation, and stress remained significant for mental health. CONCLUSIONS: Six- and 12-month look-back periods yielded similar rates of reported social risks. Although most individual social risks are associated with fair/poor overall and mental health, when examined together, only adult caregiving, stress, loneliness/isolation, food, and housing remain significant.

Increasing consumer engagement: tools to engage service users in quality improvement or implementation efforts.

Introduction: Engaging service users or consumers in quality improvement or implementing a new service is important across settings and may reduce health inequities. Implementation strategies leveraging consumer engagement are neither commonly used nor robustly operationalized in implementation science. Implementers (e.g., middle managers, facilitators) want to involve consumers in implementation activities, but do not always feel confident in how to proceed. We developed a compendium of tools called Consumer Voice to guide others how to engage consumers in design/delivery of implementation strategies. Although generalizable to other settings, we developed Consumer Voice within the context of implementing suicide prevention treatments in healthcare to reach rural U.S. military veterans, as there are suicide inequities for people in rural areas. Methods: We developed Consumer Voice using a multistep process and human-centered design methods. In between steps, a design team met to generate insights from data, and decide which prototypes to create/refine. In preliminary work, we conducted a scan of examples in healthcare of patient engagement in implementation activities and interviewed two implementation experts about preferred learning styles. In Step 1, we interviewed 26 participants with experience in community engagement, implementation, or lived experience as a rural U.S. veteran with suicidal thoughts/behavior. In Step 2, 11 implementers beta tested prototypes then share feedback in focus groups. In Step 3, we reconvened participants from prior steps to review tools and, using nominal group technique, prioritized remaining recommendations. Results: Consumer Voice is online, modular, and nonlinear for self-guided learning tailored to beginner, intermediate, or advanced experience with consumer engagement. Tools consist of slides, audiovisual content with written text, and templates. Findings indicated there is not one "right" way to engage consumers in implementation activities, rather that implementers wanted tools showcasing core principles for consumer engagement and practical ideas. Discussion: Consumer Voice can be used by implementers to reflect and decide on how to apply consumer engagement implementation strategies to improve equitable dissemination and uptake of evidence-based practices. Most insights generated by user data were explicitly to build trust between consumers and professionals representing institutions, which may be one component to reducing healthcare inequities.

Disparities in Guideline-Recommended Statin Use for Prevention of Atherosclerotic Cardiovascular Disease by Race, Ethnicity, and Gender : A Nationally Representative Cross-Sectional Analysis of Adults in the United States.

BACKGROUND: Although statins are a class I recommendation for prevention of atherosclerotic cardiovascular disease and its complications, their use is suboptimal. Differential underuse may mediate disparities in cardiovascular health for systematically marginalized persons. OBJECTIVE: To estimate disparities in statin use by race-ethnicity-gender and to determine whether these potential disparities are explained by medical appropriateness of therapy and structural factors. DESIGN: Cross-sectional analysis. SETTING: National Health and Nutrition Examination Survey from 2015 to 2020. PARTICIPANTS: Persons eligible for statin therapy based on 2013 and 2018 American College of Cardiology/American Heart Association blood cholesterol guidelines. MEASUREMENTS: The independent variable was race-ethnicity-gender. The outcome of interest was use of a statin. Using the Institute of Medicine framework for examining unequal treatment, we calculated adjusted prevalence ratios (aPRs) to estimate disparities in statin use adjusted for age, disease severity, access to health care, and socioeconomic status relative to non-Hispanic White men. RESULTS: For primary prevention, we identified a lower prevalence of statin use that was not explained by measurable differences in disease severity or structural factors among non-Hispanic Black men (aPR, 0.73 [95% CI, 0.59 to 0.88]) and non-Mexican Hispanic women (aPR, 0.74 [CI, 0.53 to 0.95]). For secondary prevention, we identified a lower prevalence of statin use that was not explained by measurable differences in disease severity or structural factors for non-Hispanic Black men (aPR, 0.81 [CI, 0.64 to 0.97]), other/multiracial men (aPR, 0.58 [CI, 0.20 to 0.97]), Mexican American women (aPR, 0.36 [CI, 0.10 to 0.61]), non-Mexican Hispanic women (aPR, 0.57 [CI, 0.33 to 0.82), non-Hispanic White women (aPR, 0.69 [CI, 0.56 to 0.83]), and non-Hispanic Black women (aPR, 0.75 [CI, 0.57 to 0.92]). LIMITATION: Cross-sectional data; lack of geographic, language, or statin-dose data. CONCLUSION: Statin use disparities for several race-ethnicity-gender groups are not explained by measurable differences in medical appropriateness of therapy, access to health care, and socioeconomic status. These residual disparities may be partially mediated by unobserved processes that contribute to health inequity, including bias, stereotyping, and mistrust. PRIMARY FUNDING SOURCE: National Institutes of Health.

Understanding the Context for Incorporating Equity into Quality Improvement Throughout a National Health Care System.

Purpose: Although health care systems aspire to deliver equitable care, practical tools that empower the health care workforce to weave equity throughout quality improvement (QI) processes are lacking. In this article, we report findings from context of use interviews that informed the development of a user-centered tool to support equity-focused QI. Methods: Semistructured interviews were conducted from February to April of 2019. Participants included 14 medical center administrators, departmental or service line leaders, and clinical staff involved in direct patient care from three Veterans Affairs (VA) Medical Centers within a single region. Interviews covered existing practices for monitoring health care quality (i.e., priorities, tasks, workflow, and resources) and explored how equity data might fit into current processes. Themes extracted through rapid qualitative analysis were used to draft initial functional requirements for a tool to support equity-focused QI. Results: Although the potential value of examining disparities in health care quality was clearly recognized, the data necessary for examining disparities were lacking for most quality measures. Interviewees also desired guidance on how inequities could be addressed through QI. The ways in which QI initiatives were selected, carried out, and supported also had important design implications for tools to support equity-focused QI. Discussion: The themes identified in this work guided the development of a national VA Primary Care Equity Dashboard to support equity-focused QI within VA. Understanding the ways in which QI was carried out across multiple levels of the organization provided a successful foundation upon which to build functional tools to support thoughtful engagement around equity in clinical settings.

Assessing an electronic self-report method for improving quality of ethnicity and race data in the Veterans Health Administration.

Objective: Evaluate self-reported electronic screening (eScreening) in a VA Transition Care Management Program (TCM) to improve the accuracy and completeness of administrative ethnicity and race data. Materials and Methods: We compared missing, declined, and complete (neither missing nor declined) rates between (1) TCM-eScreening (ethnicity and race entered into electronic tablet directly by patient using eScreening), (2) TCM-EHR (Veteran-completed paper form plus interview, data entered by staff), and (3) Standard-EHR (multiple processes, data entered by staff). The TCM-eScreening (n = 7113) and TCM-EHR groups (n = 7113) included post-9/11 Veterans. Standard-EHR Veterans included all non-TCM Gulf War and post-9/11 Veterans at VA San Diego (n = 92 921). Results: Ethnicity: TCM-eScreening had lower rates of missingness than TCM-EHR and Standard-EHR (3.0% vs 5.3% and 8.6%, respectively, P < .05), but higher rates of "decline to answer" (7% vs 0.5% and 1.2%, P < .05). TCM-EHR had higher data completeness than TCM-eScreening and Standard-EHR (94.2% vs 90% and 90.2%, respectively, P < .05). Race: No differences between TCM-eScreening and TCM-EHR for missingness (3.5% vs 3.4%, P > .05) or data completeness (89.9% vs 91%, P > .05). Both had better data completeness than Standard-EHR (P < .05), which despite the lowest rate of "decline to answer" (3%) had the highest missingness (10.3%) and lowest overall completeness (86.6%). There was strong agreement between TCM-eScreening and TCM-EHR for ethnicity (Kappa = .92) and for Asian, Black, and White Veteran race (Kappas = .87 to .97), but lower agreement for American Indian/Alaska Native (Kappa = .59) and Native Hawaiian/Other Pacific Islander (Kappa = .50) Veterans. Conculsions: eScreening is a promising method for improving ethnicity and race data accuracy and completeness in VA.

Analysis by Gender and Race and Ethnicity of Reviewers and Awardees for Intramural Research Funding in the Veterans Health Administration.

Importance: Underrepresentation of women and racial and ethnic minority individuals among reviewers and funded investigators in health research has been widely reported. It is unknown whether such underrepresentation exists in the Veterans Health Administration (VHA). Objective: To describe gender and racial and ethnic makeup of VHA Health Services Research and Development (HSR&D) study sections and funding awardees and to explore the associations between gender and racial and ethnic makeup of study sections and awardees who were women and racial and ethnic minority individuals. Design, Setting, and Participants: This cross-sectional study at the VHA evaluated study section members and funding awardees from 5 review cycles from March 13, 2018, through March 6, 2020, identified via the HSR&D and National Institutes of Health websites. Main Outcomes and Measures: Univariable and multivariable logistic regression models were used to determine the likelihood of an awardee being a woman or a racial or ethnic minority individual based on the gender and racial and ethnic makeup of study sections, respectively. Separate models were conducted for investigator-initiated research proposals only. Results: Thirty-six study sections comprised 664 reviewers, including 381 women (57.4%) and 81 racial and ethnic minority individuals (12.2%). Of the 146 funded proposals, 77 (52.7%) were awarded to women and 25 (17.1%) to racial and ethnic minority investigators; 29 (19.9%) were reviewed by study sections with no racial and ethnic minority reviewers. The odds of a woman awardee were more than 5 times greater for proposals reviewed by study sections comprising the highest proportion of women (fourth quartile; >58.3%) than the lowest proportion of women (first quartile; ≤50.0%) (adjusted odds ratio [aOR], 5.24 [95% CI, 1.70-16.13]). Similarly, the odds of a racial or ethnic minority awardee were 3 times greater for proposals reviewed by study sections in the top 50th percentile for proportion of racial and ethnic minority individuals (>7.3%) than the bottom 50th percentile (aOR, 3.08 [95% CI, 1.18-8.09]). Secondary analyses limited to investigator-initiated research proposals identified similar associations. Conclusions and Relevance: In this cross-sectional study of VHA HSR&D-funded research, racial and ethnic minority individuals were underrepresented among investigators and reviewers. More women and racial and ethnic minority reviewers on study sections were associated with women and racial and ethnic minority individuals awarded funding.

Association of Neighborhood Disadvantage and Anticoagulation for Patients with Atrial Fibrillation in the Veterans Health Administration: the REACH-AF Study.

BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia, the management of which includes anticoagulation for stroke prevention. Although disparities in anticoagulant prescribing have been well documented for individual socioeconomic factors, less is known about the association of neighborhood-level disadvantage and anticoagulation for AF. OBJECTIVE: To assess the association between neighborhood disadvantage and anticoagulant initiation for patients with incident AF. DESIGN: Retrospective cohort study. PARTICIPANTS: A cohort of patients enrolled in the Veterans Health Administration (VA) with incident AF from January 2014 through December 2020 from the Race, Ethnicity, and Anticoagulant CHoice in Atrial Fibrillation (REACH-AF) Study. MAIN MEASURES: The primary exposure was neighborhood disadvantage quantified using area deprivation index (ADI), classified by quintiles (Q). The outcomes were initiation of any anticoagulant therapy (warfarin or direct oral anticoagulant, DOAC) within 90 days of AF diagnosis and DOAC use among initiators. We used mixed effects logistic regression to assess the association between ADI and anticoagulant therapy, incorporating a fixed effect for treatment site and baseline patient, provider, and facility covariates. KEY RESULTS: Among 161,089 patients, 105,489 (65.5%) initiated any anticoagulant therapy, and 78,903 (74.8%) used DOACs. Any anticoagulant therapy increased 3.2 percentage points (63.0% to 66.2%; p<.001) from Q1 to Q5, whereas DOAC use decreased 8.2 percentage points (79.4% to 71.2%; p<.0001) across quintiles. The adjusted odd ratios of any anticoagulant therapy were non-significantly different for Q2-Q5 than Q1. The adjusted odds of DOAC use decreased progressively from 0.89 (95% CI, 0.84-0.94) in Q2 to 0.77 (95% CI, 0.73-0.83) in Q5 compared to Q1 (p<.0001). CONCLUSIONS: Among Veterans with incident AF, we observed similar initiation of any anticoagulant, though neighborhood deprivation was associated with decreased DOAC use among anticoagulant initiators. Future interventions to improve pharmacoequity in anticoagulant prescribing for AF should consider the role of neighborhood-level determinants of health inequities.

Interaction between Legal and Social Needs in Their Association with Self-rated Health in a National Sample of Veterans.

Many health-related social needs, such as financial insecurity, are interconnected with legal needs. However, little is known about which social needs are more likely to be associated with legal needs, or whether legal and other needs interact to affect health. Using data from a 2020 national mailed survey assessing social needs among Veterans who had or were at risk for cardiovascular disease (N=2,801) and linked administrative data, linear regression models tested interactions between legal and other social needs, and their associations with self-rated health. In a model examining the interaction of financial and legal needs, experiencing financial but not legal needs was as strongly associated with worse health (b=-0.58, 95% CI -0.69, -0.46) as experiencing both financial and legal needs (b= -0.55, 95% CI -0.70, -0.40). Financial needs are important to Veterans' health and further research is needed to determine how financial and legal needs should be triaged by providers.

Temporal variation in individual social risk factors associated with testing positive for SARS-CoV-2 among veterans in the veterans health administration.

PURPOSE: Marginalized communities have been disproportionally impacted by SARS-CoV-2. How the associations between social determinants of health and the risk of SARS-CoV-2 infection shifted across time is unknown. In this evaluation, we examine individual-level social determinants of health as social risk factors for SARS-CoV-2 infection across the first 12 months of the pandemic among US Veterans. METHODS: We conducted a retrospective cohort analysis of 946,358 Veterans who sought testing or treatment for SARS-CoV-2 infection in U.S. Department of Veterans Affairs medical facilities. We estimated risk ratios for testing positive by social risk factors, adjusting for demographics, comorbidities, and time. Adjusted models were stratified by pandemic phase to assess temporal fluctuations in social risks. RESULTS: Approximately 19% of Veterans tested positive for SARS-CoV-2. Larger household size was a persistent risk factor and this association increased over time. Early in the pandemic, lower county-level population density was associated with lower SARS-CoV-2 infection risk, but between June 1 and August 31, 2020, this trend reversed. CONCLUSIONS: Temporal fluctuations in social risks associated with Veterans' SARS-CoV-2 infection suggest the need for ongoing, real-time tracking as the social and medical environment continues to evolve.

Determining feasibility of incorporating consumer engagement into implementation activities: study protocol of a hybrid effectiveness-implementation type II pilot.

INTRODUCTION: Implementation researchers could draw from participatory research to engage patients (consumers of healthcare) in implementation processes and possibly reduce healthcare disparities. There is a little consumer involvement in healthcare implementation, partially because no formal guidance exists. We will create and pilot a toolkit of methods to engage consumers from the US' Veterans Health Administration (VHA) in selecting and tailoring implementation strategies. This toolkit, Consumer Voice, will provide guidance on what, when, where, how and why an implementer might engage consumers in implementing treatments. We will pilot the toolkit by implementing Safety Planning Intervention for suicide prevention with rural veterans, a population with suicide disparities. Safety Planning Intervention is effective for reducing suicidal behaviours. METHODS AND ANALYSIS: In Aim 1, we will use participatory approaches and user-centred design to develop Consumer Voice and its methods. In Aim 2, we will pilot Consumer Voice by implementing the Safety Planning Intervention in two clinics serving rural VHA patients. One site will receive a current implementation strategy (Implementation Facilitation) only; the second will receive Implementation Facilitation plus Consumer Voice. We will use mixed methods to assess feasibility and acceptability of Consumer Voice. We will compare sites on preliminary implementation (reach, adoption, fidelity) and clinical outcomes (depression severity, suicidal ideation, suicidal behaviour). In Aim 3, we will evaluate Aim 2 outcomes at 20 months to assess sustained impact. We will gather qualitative data on sustainability of the Safety Planning Intervention. ETHICS AND DISSEMINATION: These studies are overseen by the Institutional Review Board at the Central Arkansas Veterans Healthcare System. We plan to use traditional academic modalities of dissemination (eg, conferences, publications). We plan to disseminate findings through meetings with other trainers in implementation practice so they may adopt Consumer Voice. We plan to share results with local community boards.

Tracking the randomized rollout of a Veterans Affairs opioid risk management tool: A multi-method implementation evaluation using the Consolidated Framework for Implementation Research (CFIR).

Background: The Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM) dashboard to assist in identifying Veterans at risk for adverse opioid overdose or suicide-related events. In 2018, a policy was implemented requiring VHA facilities to complete case reviews of Veterans identified by STORM as very high risk for adverse events. Nationally, facilities were randomized in STORM implementation to four arms based on required oversight and by the timing of an increase in the number of required case reviews. To help evaluate this policy intervention, we aimed to (1) identify barriers and facilitators to implementing case reviews; (2) assess variation across the four arms; and (3) evaluate associations between facility characteristics and implementation barriers and facilitators. Method: Using the Consolidated Framework for Implementation Research (CFIR), we developed a semi-structured interview guide to examine barriers to and facilitators of implementing the STORM policy. A total of 78 staff from 39 purposefully selected facilities were invited to participate in telephone interviews. Interview transcripts were coded and then organized into memos, which were rated using the -2 to + 2 CFIR rating system. Descriptive statistics were used to evaluate the mean ratings on each CFIR construct, the associations between ratings and study arm, and three facility characteristics (size, rurality, and academic detailing) associated with CFIR ratings. We used the mean CFIR rating for each site to determine which constructs differed between the sites with highest and lowest overall CFIR scores, and these constructs were described in detail. Results: Two important CFIR constructs emerged as barriers to implementation: Access to knowledge and information and Evaluating and reflecting. Little time to complete the CASE reviews was a pervasive barrier. Sites with higher overall CFIR scores showed three important facilitators: Leadership engagement, Engaging, and Implementation climate. CFIR ratings were not significantly different between the four study arms, nor associated with facility characteristics.Plain Language Summary: The Veterans Health Administration (VHA) created a tool called the Stratification Tool for Opioid Risk Mitigation dashboard. This dashboard shows Veterans at risk for opioid overdose or suicide-related events. In 2018, a national policy required all VHA facilities to complete case reviews for Veterans who were at high risk for these events. To evaluate this policy implementation, 78 staff from 39 facilities were interviewed. The Consolidated Framework for Implementation Research (CFIR) implementation framework was used to create the interview. Interview transcripts were coded and organized into site memos. The site memos were rated using CFIR's -2 to +2 rating system. Ratings did not differ for four study arms related to oversight and timing. Ratings were not associated with facility characteristics. Leadership, engagement and implementation climate were the strongest facilitators for implementation. Lack of time, knowledge, and feedback were important barriers.

From HRO to HERO: Making Health Equity a Core System Capability.

As many health systems have been working to become high-reliability organizations (HROs), health equity has been largely absent from discussions and applications of HRO principles. This is a serious oversight. Disparities in health and health care represent systematic failures to achieve reliable outcomes for certain groups. Acceptance of disparities is antithetical to the essential HRO goal of "zero harm." We propose adding Equity to HROs in the most literal sense by designating it as a key component and achieving High Equity Reliability Organizations. We describe how equity should be a crucial element of all 5 HRO core concepts: sensitivity to operations, preoccupation with failure, deference to expertise, resilience, and reluctance to simplify.

Race Differences in Postacute Physical Therapy Utilization and Patient-Reported Function After Total Knee Arthroplasty.

OBJECTIVE: This observational cohort study included patients of Black and White race and non-Hispanic ethnicity with end-stage knee osteoarthritis who were scheduled to receive total knee arthroplasty (TKA) surgery. Our objective was to examine whether race differences exist in the use of physical therapy (PT) across all postacute settings and to examine patient-reported physical function following TKA. METHODS: We collected pre- and postoperative physical function data and postoperative rehabilitation data on 104 Black and White individuals undergoing TKA. Regression analyses and independent samples t-tests were used to explore the predictive value of race on postoperative functional outcome and to compare PT utilization within each postacute setting and across all postacute rehabilitation settings. RESULTS: Total PT received was similar between White and Black participants, but significant race differences in PT utilization existed within specific settings. Race did not significantly predict function after TKA, but Black participants had slightly lower self-reported function both before and after surgery than White participants. CONCLUSION: This is the first study to examine both PT utilization and functional outcomes in a sample of individuals undergoing TKA, and results indicate differences in where postoperative PT is received between Black and White patients.

Exploring Race Differences in Satisfaction With Rehabilitation Following Total Knee Arthroplasty: A Qualitative Study.

BACKGROUND: The purpose of this qualitative focus group study was to explore race differences in the rehabilitation experience and satisfaction with rehabilitation following total knee arthroplasty (TKA). METHOD: We conducted a series of qualitative focus group discussions with groups of non-Hispanic White and non-Hispanic Black older adults who recently underwent TKA. We used grounded theory approach, which asks the researcher to develop theory from the data that are collected. Participants discussed barriers and facilitators to accessing rehabilitation after surgery, opinions regarding their physical therapists, the amount of postoperative physical therapy received, and overall satisfaction with the postoperative rehabilitation process. RESULTS: Thirty-six individuals participated in focus groups. Three major themes emerged: (i) Participants reported overall positive views of their post-TKA rehabilitation experience. They particularly enjoyed one-on-one care, the ability to participate in "prehabilitation," and often mentioned specific interventions they felt were most helpful in their recovery. (ii) Despite this, substantial barriers to accessing physical therapy exist. These include suboptimal pain management, copayments and other out-of-pocket costs, and transportation to visits. (iii) There were minor differences in the rehabilitation experiences between Black and White participants. Black participants reported longer paths toward surgery and occasional difficulty interacting with rehabilitation providers. CONCLUSIONS: Individuals undergoing TKA can largely expect positive rehabilitation experiences postoperatively. However, some barriers to postoperative physical therapy exist and may differ between Black and White patients. Physical therapists should increase their awareness of these barriers and work to minimize them whenever possible.

Association of Race and Ethnicity and Anticoagulation in Patients With Atrial Fibrillation Dually Enrolled in Veterans Health Administration and Medicare: Effects of Medicare Part D on Prescribing Disparities.

BACKGROUND: Racial and ethnic disparities in anticoagulation exist in atrial fibrillation management in Medicare and the Veterans Health Administration, but the influence of dual Veterans Health Administration and Medicare enrollment is unclear. We compared anticoagulant initiation by race and ethnicity in dually enrolled patients and assessed the role of Medicare part D enrollment on anticoagulation disparities. METHODS: We identified patients with incident atrial fibrillation (2014-2018) dually enrolled in Veterans Health Administration and Medicare. We assessed any anticoagulant initiation (warfarin or direct-acting oral anticoagulants [DOACs]) within 90 days of atrial fibrillation diagnosis and DOAC use among anticoagulant initiators. We modeled anticoagulant initiation, adjusting for patient, provider, and facility factors, including main effects for race and ethnicity and Medicare part D enrollment and an interaction term for these variables. RESULTS: In 43 789 patients, 8.9% were Black, 3.6% Hispanic, and 87.5% White; 10.9% participated in Medicare part D. Overall, 29 680 (67.8%) patients initiated any anticoagulant, of whom 17 568 (59.2%) initiated DOACs. Lower proportions of Black (65.2%) than Hispanic (67.6%) or White (68.0%) patients initiated any anticoagulant (P=0.001) and, lower proportions of Black (56.3%) and Hispanic (55.9%) than White (59.6%) patients (P=0.001) initiated DOACs. Compared with White patients, Black patients had significantly lower initiation of any anticoagulant (adjusted odds ratio, 0.89 [95% CI, 0.82-0.97]). The adjusted odds ratios for DOAC initiation were significantly lower for Black (0.72 [95% CI, 0.65-0.81]) and Hispanic (0.84 [95% CI, 0.70-1.00]) than White patients. The interaction between race and ethnicity and Medicare part D enrollment was nonsignificant for any anticoagulant (P=0.99) and DOAC (P=0.27) therapies. CONCLUSIONS: In dually enrolled Veterans Health Administration and Medicare patients with atrial fibrillation, Black patients were less likely to initiate any anticoagulant, and Black and Hispanic patients were less likely to initiate DOACs. Medicare part D enrollment did not moderate the associations between race and ethnicity and anticoagulant therapies.