Hospital Catchment Areas Characteristics and Geographic Regions Associated With Higher COVID-19 Veterans Health Administration Hospitalization During the Omicron Surge.

CONTEXT: Surges in the ongoing coronavirus-19 (COVID-19) pandemic and accompanying increases in hospitalizations continue to strain hospital systems. Identifying hospital-level characteristics associated with COVID-19 hospitalization rates and clusters of hospitalization "hot spots" can help with hospital system planning and resource allocation. OBJECTIVE: To identify (1) hospital catchment area-level characteristics associated with higher COVID-19 hospitalization rates and (2) geographic regions with high and low COVID-19 hospitalization rates across catchment areas during COVID-19 Omicron surge (December 20, 2021-April 3, 2022). DESIGN: This observational study used Veterans Health Administration (VHA), US Health Resource & Services Administration's Area Health Resources File, and US Census data. We used multivariate regression to identified hospital catchment area-level characteristics associated with COVID-19 hospitalization rates. We used ESRI ArcMap's Getis-Ord Gi* statistic to identify catchment area clusters of hospitalization hot and cold spots. SETTING AND PARTICIPANTS: VHA hospital catchment areas in the United States (n = 143). MAIN OUTCOME MEASURES: Hospitalization rate. RESULTS: Greater COVID-19 hospitalization was associated with serving more high hospitalization risk patients (34.2 hospitalizations/10 000 patients per 10-percentage point increase in high hospitalization risk patients; 95% confidence intervals [CI]: 29.4, 39.0), fewer patients new to VHA during the pandemic (-3.9, 95% CI: -6.2, -1.6), and fewer COVID vaccine-boosted patients (-5.2; 95% CI: -7.9, -2.5).We identified 2 hospitalization cold spots located in the Pacific Northwest and in the Great Lakes regions, and 2 hot spots in the Great Plains and Southeastern US regions. CONCLUSIONS: Within VHA's nationally integrated health care system, catchment areas serving a larger high hospitalization risk patient population were associated with more Omicron-related hospitalizations, while serving more patients fully vaccinated and boosted for COVID-19 and new VHA users were associated with lower hospitalization. Hospital and health care system efforts to vaccinate patients, particularly high-risk patients, can potentially safeguard against pandemic surges.Hospitalization hot spots within VHA include states with a high burden of chronic disease in the Great Plains and Southeastern United States.

Outcomes that Matter: High-Needs Patients' and Primary Care Leaders' Perspectives on an Intensive Primary Care Pilot.

BACKGROUND: Quantitative evaluations of the effectiveness of intensive primary care (IPC) programs for high-needs patients have yielded mixed results for improving healthcare utilization, cost, and mortality. However, IPC programs may provide other value. OBJECTIVE: To understand the perspectives of high-needs patients and primary care facility leaders on the effects of a Veterans Affairs (VA) IPC program on patients. DESIGN: A total of 66 semi-structured telephone interviews with high-needs VA patients and primary care facility leaders were conducted as part of the IPC program evaluation. PARTICIPANTS: High-needs patients (n = 51) and primary care facility leaders (n = 15) at 5 VA pilot sites. APPROACH: We used content analysis to examine interview transcripts for both a priori and emergent themes about perceived IPC program effects. KEY RESULTS: Patients enrolled in VA IPCs reported improvements in their experience of VA care (e.g., patient-provider relationship, access to their team). Both patients and leaders reported improvements in patient motivation to engage with self-care and with their IPC team, and behaviors, especially diet, exercise, and medication management. Patients also perceived improvements in health and described receiving assistance with social needs. Despite this, patients and leaders also outlined patient health characteristics and contextual factors (e.g., chronic health conditions, housing insecurity) that may have limited the effectiveness of the program on healthcare cost and utilization. CONCLUSIONS: Patients and primary care facility leaders report benefits for high-needs patients from IPC interventions that translated into perceived improvements in healthcare, health behaviors, and physical and mental health status. Most program evaluations focus on cost and utilization, which may be less amenable to change given this cohort's numerous comorbid health conditions and complex social circumstances. Future IPC program evaluations should additionally examine IPC's effects on quality of care, patient satisfaction, quality of life, and patient health behaviors other than utilization (e.g., engagement, self-efficacy).

The neighborhood environment and obesity: Understanding variation by race/ethnicity.

Neighborhood characteristics have been associated with obesity, but less is known whether relationships vary by race/ethnicity. This study examined the relationship between soda consumption - a behavior strongly associated with obesity - and weight status with neighborhood sociodemographic, social, and built environments by race/ethnicity. We merged data on adults from the 2011-2013 California Health Interview Survey, U.S. Census data, and InfoUSA (n=62,396). Dependent variables were soda consumption and weight status outcomes (body mass index and obesity status). Main independent variables were measures of three neighborhood environments: social (social cohesion and safety), sociodemographic (neighborhood socioeconomic status, educational attainment, percent Asian, percent Hispanic, and percent black), and built environments (number of grocery stores, convenience stores, fast food restaurants, and gyms in neighborhood). We fit multi-level linear and logistic regression models, stratified by individual race/ethnicity (NH (non-Hispanic) Whites, NH African Americans, Hispanics, and NH Asians) controlling for individual-level characteristics, to estimate neighborhood contextual effects on study outcomes. Lower neighborhood educational attainment was associated with higher odds of obesity and soda consumption in all racial/ethnic groups. We found fewer associations between study outcomes and the neighborhood, especially the built environment, among NH African Americans and NH Asians. While improvements to neighborhood environment may be promising to reduce obesity, null associations among minority subgroups suggest that changes, particularly to the built environment, may alone be insufficient to address obesity in these groups.

Eligibility Criteria for Lower Extremity Joint Replacement May Worsen Racial and Socioeconomic Disparities.

BACKGROUND: Cost-containment strategies may discourage hospitals from performing surgery for patients with preexisting risk factors such as those with high body mass index (BMI), those with high hemoglobin A1c (HbA1c), or those who smoke cigarettes. Because these risk factors may not appear in equal proportions across the population, using these risk factors as inflexible eligibility criteria for lower extremity joint arthroplasty may exacerbate existing racial-ethnic, gender, and socioeconomic disparities pertaining to access to an operation that can improve health and quality of life. However, any effects on such disparities have not yet been quantified nor have the groups been identified that may be most affected by inflexible eligibility criteria. QUESTIONS/PURPOSES: Does the use of inflexible eligibility criteria related to (1) BMI; (2) HbA1c level; and (3) smoking status potentially decrease the odds of lower extremity joint arthroplasty eligibility for members of racial-ethnic minority groups, women, and those of lower socioeconomic status more than it does for non-Hispanic whites, men, and those of higher socioeconomic status? METHODS: We pooled data from 21,294 adults aged ≥ 50 years from the 1999-2014 National Health and Nutrition Examination Survey (NHANES). NHANES is a nationally administered series of surveys that assess the health and nutritional status of the US population and collect information on many risk factors for diseases. NHANES is uniquely suited to examine our study questions because it includes data from physical examinations and laboratory assessments as well as comprehensive questionnaires, and it is nationally representative. We determined the odds of lower extremity arthroplasty eligibility by running separate multivariable logistic regressions for each criterion (that is, for each dependent variable): (1) BMI < 35 kg/m; (2) BMI < 40 kg/m; (3) HbA1c < 8%; and (4) current nonsmoker status. Independent variables of interest were race-ethnicity, gender, educational level, and annual household income. Each model included all independent variables of interest, age, and survey year. RESULTS: The BMI < 35-kg/m criterion resulted in lower arthroplasty eligibility for non-Hispanic blacks compared with non-Hispanic whites (odds ratio [OR], 0.62; 95% confidence interval [CI], 0.55-0.70; p < 0.001), women versus men (OR, 0.61; 95% CI, 0.55-0.69; p < 0.001), individuals of lower socioeconomic status versus those of higher socioeconomic status (annual household income < USD 45,000 versus ≥ USD 45,000 [OR, 0.81; 95% CI, 0.71-0.93; p = 0.002], and those with a high school degree or less versus those with a degree beyond a high school degree (OR, 0.66; 95% CI, 0.57-0.77; p < 0.001). The HbA1c < 8% criterion resulted in lower arthroplasty eligibility for non-Hispanic blacks (OR, 0.44; 95% CI, 0.37-0.53; p < 0.001) and Hispanics (OR, 0.41; 95% CI, 0.33-0.51; p < 0.001) versus non-Hispanic whites, for individuals of lower socioeconomic status versus those of higher socioeconomic status (OR, 0.73; 95% CI, 0.56-0.94; p = 0.015), and for those with a high school degree or less versus those with a degree beyond a high school degree (OR, 0.58; 95% CI, 0.44-0.77; p < 0.001). Excluding smokers resulted in lower arthroplasty eligibility for non-Hispanic blacks versus non-Hispanic whites (OR, 0.84; 95% CI, 0.73-0.97; p = 0.019), for individuals of lower socioeconomic status versus those of higher socioeconomic status (OR, 0.53; 95% CI, 0.47-0.61; p < 0.001), and for those with a high school degree or less versus those with a degree beyond a high school degree (OR, 0.29; 95% CI, 0.24-0.35; p < 0.001). CONCLUSIONS: Payment structures and clinical decision-making algorithms that set inflexible cutoffs with respect to BMI, HbA1c, and smoking status disproportionately discourage performing lower extremity arthroplasty for non-Hispanic blacks and individuals of lower socioeconomic status. We do not advocate performing elective surgery for patients with multiple, uncontrolled medical comorbidities. However, ample evidence suggests that many patients whose BMI values are > 35 kg/m (or even > 40 kg/m) may be reasonable candidates for arthroplasty surgery, and BMI is not an easily modifiable risk factor for many patients. We discourage across-the-board cutoff parameters in these domains because such cutoffs will worsen current racial-ethnic, gender-based, and socioeconomic disparities and limit access to an operation that can improve quality of life. LEVEL OF EVIDENCE: Level III, economic and decision analysis.

HUD Housing Assistance and Levels of Physical Activity Among Low-Income Adults.

INTRODUCTION: Receipt of housing assistance from the US Department of Housing and Urban Development (HUD) is associated with improved health among adults and lower rates of unmet medical need among adults and young children. However, it is unclear whether HUD housing assistance is associated with healthier behaviors. The objective of our study was to assess whether participation in HUD housing assistance programs is associated with increased physical activity among low-income adults. METHODS: In 2017, we pooled cross-sectional data from the 2004-2012 National Health Interview Survey (NHIS) linked to administrative records of HUD housing assistance participation. Our primary sample was low-income adults (aged ≥18; <200% of federal poverty level). Using multivariate logistic regression, we calculated the odds of being physically active (≥150 min/week of moderate-intensity activity or equivalent combination of moderate- and vigorous-intensity activity) among current HUD housing assistance residents compared with a control group of future residents (adults who would receive assistance within the next 2 years). In a secondary analyses, we examined neighborhood socioeconomic status as a modifier and conducted a subanalysis among nonsenior adults (aged <65). RESULTS: Among all low-income adults, the adjusted odds of being physically active were similar for current and future residents (odds ratio =1.17; 95% confidence interval, 0.95-1.46). Among nonseniors, current residents were more likely to be physically active than future residents (odds ratio = 1.47; 95% confidence interval, 1.10-1.97). Associations did not differ by neighborhood socioeconomic status. CONCLUSION: Receiving HUD housing assistance is associated with being physically active among nonsenior low-income adults.

Identifying Financially Sustainable Pricing Interventions to Promote Healthier Beverage Purchases in Small Neighborhood Stores.

INTRODUCTION: Residents of low-income communities often purchase sugar-sweetened beverages (SSBs) at small, neighborhood "corner" stores. Lowering water prices and increasing SSB prices are potentially complementary public health strategies to promote more healthful beverage purchasing patterns in these stores. Sustainability, however, depends on financial feasibility. Because in-store pricing experiments are complex and require retailers to take business risks, we used a simulation approach to identify profitable pricing combinations for corner stores. METHODS: The analytic approach was based on inventory models, which are suitable for modeling business operations. We used discrete-event simulation to build inventory models that use data representing beverage inventory, wholesale costs, changes in retail prices, and consumer demand for 2 corner stores in Baltimore, Maryland. Model outputs yielded ranges for water and SSB prices that increased water demand without loss of profit from combined water and SSB sales. RESULTS: A 20% SSB price increase allowed lowering water prices by up to 20% while maintaining profit and increased water demand by 9% and 14%, for stores selling SSBs in 12-oz cans and 16- to 20-oz bottles, respectively. Without changing water prices, profits could increase by 4% and 6%, respectively. Sensitivity analysis showed that stores with a higher volume of SSB sales could reduce water prices the most without loss of profit. CONCLUSION: Various combinations of SSB and water prices could encourage water consumption while maintaining or increasing store owners' profits. This model is a first step in designing and implementing profitable pricing strategies in collaboration with store owners.

A multidimensional view of racial differences in access to prostate cancer care.

BACKGROUND: Racial disparities in prostate cancer treatment and outcomes are widespread and poorly understood. In the current study, the authors sought to determine whether access to care, measured across multiple dimensions, contributed to racial differences in prostate cancer. METHODS: The Philadelphia Area Prostate Cancer Access Study (P2 Access) included 2374 men diagnosed with localized prostate cancer between 2012 and 2014. Men were surveyed to assess their experiences accessing care (response rate of 51.1%). The authors determined appointment availability at 151 urology practices using simulated patient telephone calls and calculated travel distances using geospatial techniques. Multivariable logistic regression models were used to determine the association between 5 different domains of access (availability, accessibility, accommodation, affordability, and acceptability) and receipt of treatment, perceived quality of care, and physician-patient communication. RESULTS: There were 1907 non-Hispanic white and 394 black men in the study cohort. Overall, approximately 85% of the men received definitive treatment with no differences noted by race. Black men were less likely to report a high quality of care (69% vs 81%; P<.001) and good physician-patient communication (60% vs 71%; P<.001) compared with white men. In adjusted models, none of the 5 domains of access were found to be associated with definitive treatment overall or with radical prostatectomy. All access domains were associated with perceived quality of care and communication, although these domains did not mediate racial disparities. CONCLUSIONS: To the authors' knowledge, the current study presents the first comprehensive assessment of prostate cancer care access, treatment, and patient experience, demonstrating that although access was related to overall perceived quality of care and better physician-patient communication, it did not appear to explain observed racial differences. Cancer 2017;123:4449-57. © 2017 American Cancer Society.

Racial Differences in Geographic Access to Medical Care as Measured by Patient Report and Geographic Information Systems.

BACKGROUND: Geographic access-the travel burden required to reach medical care-is an important aspect of care. Studies, which typically rely on geographic information system (GIS) calculated travel times, have found some evidence of racial disparities in spatial access to care. However, the validity of these studies depends on the accuracy of travel times by patient race. OBJECTIVES: To determine if there are racial differences when comparing patient-reported and GIS-calculated travel times. RESEARCH DESIGN: Data came from the Philadelphia Area Prostate Cancer Access Study (P Access), a cohort study of men diagnosed with localized prostate cancer. We conducted cross-sectional analysis of 2136 men using multivariable linear mixed-effects models to examine the effect of race on differences in patient-reported and GIS-calculated travel times to urology and radiation oncology cancer providers. RESULTS: Patient-reported travel times were, on an average, longer than GIS-calculated times. For urology practices, median patient-reported travel times were 12.7 minutes longer than GIS-calculated travel times for blacks versus 7.2 minutes longer for whites. After adjusting for potential confounders, including socioeconomic status and car access, the difference was significantly greater for black patients than white patients (2.0 min; 95% confidence interval, 0.58-3.44). CONCLUSIONS: GIS-calculated travel time may underestimate access to care, especially for black patients. Future studies that use GIS-calculated travel times to examine racial disparities in spatial access to care might consider including patient-reported travel times and controlling for factors that might affect the accuracy of GIS-calculated travel times.

Using a computational model to quantify the potential impact of changing the placement of healthy beverages in stores as an intervention to "Nudge" adolescent behavior choice.

BACKGROUND: Product placement influences consumer choices in retail stores. While sugar sweetened beverage (SSB) manufacturers expend considerable effort and resources to determine how product placement may increase SSB purchases, the information is proprietary and not available to the public health and research community. This study aims to quantify the effect of non-SSB product placement in corner stores on adolescent beverage purchasing behavior. Corner stores are small privately owned retail stores that are important beverage providers in low-income neighborhoods--where adolescents have higher rates of obesity. METHODS: Using data from a community-based survey in Baltimore and parameters from the marketing literature, we developed a decision-analytic model to simulate and quantify how placement of healthy beverage (placement in beverage cooler closest to entrance, distance from back of the store, and vertical placement within each cooler) affects the probability of adolescents purchasing non-SSBs. RESULTS: In our simulation, non-SSB purchases were 2.8 times higher when placed in the "optimal location"--on the second or third shelves of the front cooler--compared to the worst location on the bottom shelf of the cooler farthest from the entrance. Based on our model results and survey data, we project that moving non-SSBs from the worst to the optional location would result in approximately 5.2 million more non-SSBs purchased by Baltimore adolescents annually. CONCLUSIONS: Our study is the first to quantify the potential impact of changing placement of beverages in corner stores. Our findings suggest that this could be a low-cost, yet impactful strategy to nudge this population--highly susceptible to obesity--towards healthier beverage decisions.

Differential associations of mask mandates on COVID-19 infection and mortality by community social vulnerability.

BACKGROUND: The COVID-19 pandemic in the United States has disproportionately impacted communities deemed vulnerable to disease outbreaks. Our objectives were to test (1) whether infection and mortality decreased in counties in the most vulnerable (highest) tercile of the Social Vulnerability Index (SVI), and (2) whether disparities between terciles of SVI were reduced, as the length of mask mandates increased. METHODS: Using the New York Times COVID-19 and the Centers for Disease Control and Prevention SVI and mask mandate datasets, we conducted negative binomial regression analyses of county-level COVID-19 cases and deaths from 1/2020-11/2021 on interactions of SVI and mask mandate durations. RESULTS: Mask mandates were associated with decreases in mid-SVI cases (IRR: 0.79) and deaths (IRR: 0.90) and high-SVI cases (IRR: 0.89) and deaths (IRR: 0.88). Mandates were associated with the mitigation of infection disparities (Change in IRR: 0.92) and mortality disparities (Change in IRR: 0.85) between low and mid-SVI counties and mortality disparities between low and high-SVI counties (Change in IRR: 0.84). DISCUSSION: Mask mandates were associated with reductions in COVID-19 infection and mortality and mitigation of disparities for mid and high-vulnerability communities. CONCLUSIONS: Ongoing COVID-19 response efforts may benefit from longer-standing infection control policies, particularly in the most vulnerable communities.

Relationship between health system quality and racial and ethnic equity in diabetes care.

Failing to consider disparities in quality measures, such as by race and ethnicity, may obscure inequities in care, which could exist in facilities with overall high-quality ratings. We examined the relationship between overall quality and racial and ethnic disparities in diabetes care quality by health care facility-level performance on a diabetes-related quality measure within a national dataset of veterans using Veterans Health Administration (VA) ambulatory care between March 1, 2020 and Feburary 28, 2021, and were eligible for diabetes quality assessment. We found racial and ethnic disparities in diabetes care quality existed in top-performing VA medical centers (VAMCs) among American Indian or Alaska Native (AIAN) (predicted probability = 30%), Black (predicted probability = 29%), and Hispanic VA-users (predicted probability = 30%) vs White VA-users (predicted probability = 26%). While disparities among Black and Hispanic VA-users were similar relative to White VA-users across VAMCs at all performance levels, disparities were exacerbated for AIAN and Native Hawaiian or Other Pacific Islander VA-users in bottom-performing VAMCs. Equity remains an issue even in facilities providing overall high-quality care. Integrating equity as a component of quality measures can incentivize greater focus on equity in quality improvement.

Implementing evidence-based practices to improve primary care for high-risk patients: study protocol for the VA high-RIsk VETerans (RIVET) type III effectiveness-implementation trial.

BACKGROUND: Patients with significant multimorbidity and other factors that make healthcare challenging to access and coordinate are at high risk for poor health outcomes. Although most (93%) of Veterans' Health Administration (VHA) patients at high risk for hospitalization or death ("high-risk Veterans") are primarily managed by primary care teams, few of these teams have implemented evidence-based practices (EBPs) known to improve outcomes for the high-risk patient population's complex healthcare issues. Effective implementation strategies could increase adoption of these EBPs in primary care; however, the most effective implementation strategies to increase evidence-based care for high-risk patients are unknown. The high-RIsk VETerans (RIVET) Quality Enhancement Research Initiative (QUERI) will compare two variants of Evidence-Based Quality Improvement (EBQI) strategies to implement two distinct EBPs for high-risk Veterans: individual coaching (EBQI-IC; tailored training with individual implementation sites to meet site-specific needs) versus learning collaborative (EBQI-LC; implementation sites trained in groups to encourage collaboration among sites). One EBP, Comprehensive Assessment and Care Planning (CACP), guides teams in addressing patients' cognitive, functional, and social needs through a comprehensive care plan. The other EBP, Medication Adherence Assessment (MAA), addresses common challenges to medication adherence using a patient-centered approach. METHODS: We will recruit and randomize 16 sites to either EBQI-IC or EBQI-LC to implement one of the EBPs, chosen by the site. Each site will have a site champion (front-line staff) who will participate in 18 months of EBQI facilitation. ANALYSIS: We will use a mixed-methods type 3 hybrid Effectiveness-Implementation trial to test EBQI-IC versus EBQI-LC versus usual care using a Concurrent Stepped Wedge design. We will use the Practical, Robust Implementation and Sustainability Model (PRISM) framework to compare and evaluate Reach, Effectiveness, Adoption, Implementation, and costs. We will then assess the maintenance/sustainment and spread of both EBPs in primary care after the 18-month implementation period. Our primary outcome will be Reach, measured by the percentage of eligible high-risk patients who received the EBP. DISCUSSION: Our study will identify which implementation strategy is most effective overall, and under various contexts, accounting for unique barriers, facilitators, EBP characteristics, and adaptations. Ultimately this study will identify ways for primary care clinics and teams to choose implementation strategies that can improve care and outcomes for patients with complex healthcare needs. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05050643. Registered September 9th, 2021, https://clinicaltrials.gov/study/NCT05050643 PROTOCOL VERSION: This protocol is Version 1.0 which was created on 6/3/2020.

Inclusion of Race and Ethnicity With Neighborhood Socioeconomic Deprivation When Assessing COVID-19 Hospitalization Risk Among California Veterans Health Administration Users.

Importance: Despite complexities of racial and ethnic residential segregation (hereinafter referred to as segregation) and neighborhood socioeconomic deprivation, public health studies, including those on COVID-19 racial and ethnic disparities, often rely on composite neighborhood indices that do not account for residential segregation. Objective: To examine the associations by race and ethnicity among California's Healthy Places Index (HPI), Black and Hispanic segregation, Social Vulnerability Index (SVI), and COVID-19-related hospitalization. Design, Setting, and Participants: This cohort study included veterans with positive test results for COVID-19 living in California who used Veterans Health Administration services between March 1, 2020, and October 31, 2021. Main Outcomes and Measures: Rates of COVID-19-related hospitalization among veterans with COVID-19. Results: The sample available for analysis included 19 495 veterans with COVID-19 (mean [SD] age, 57.21 [17.68] years), of whom 91.0% were men, 27.7% were Hispanic, 16.1% were non-Hispanic Black, and 45.0% were non-Hispanic White. For Black veterans, living in lower-HPI (ie, less healthy) neighborhoods was associated with higher rates of hospitalization (odds ratio [OR], 1.07 [95% CI, 1.03-1.12]), even after accounting for Black segregation (OR, 1.06 [95% CI, 1.02-1.11]). Among Hispanic veterans, living in lower-HPI neighborhoods was not associated with hospitalization with (OR, 1.04 [95% CI, 0.99-1.09]) and without (OR, 1.03 [95% CI, 1.00-1.08]) Hispanic segregation adjustment. For non-Hispanic White veterans, lower HPI was associated with more frequent hospitalization (OR, 1.03 [95% CI, 1.00-1.06]). The HPI was no longer associated with hospitalization after accounting for Black (OR, 1.02 [95% CI, 0.99-1.05]) or Hispanic (OR, 0.98 [95% CI, 0.95-1.02]) segregation. Hospitalization was higher for White (OR, 4.42 [95% CI, 1.62-12.08]) and Hispanic (OR, 2.90 [95% CI, 1.02-8.23]) veterans living in neighborhoods with greater Black segregation and for White veterans in more Hispanic-segregated neighborhoods (OR, 2.81 [95% CI, 1.96-4.03]), adjusting for HPI. Living in higher SVI (ie, more vulnerable) neighborhoods was associated with greater hospitalization for Black (OR, 1.06 [95% CI, 1.02-1.10]) and non-Hispanic White (OR, 1.04 [95% CI, 1.01-1.06]) veterans. Conclusions and Relevance: In this cohort study of US veterans with COVID-19, HPI captured neighborhood-level risk for COVID-19-related hospitalization for Black, Hispanic, and White veterans comparably with SVI. These findings have implications for the use of HPI and other composite neighborhood deprivation indices that do not explicitly account for segregation. Understanding associations between place and health requires ensuring composite measures accurately account for multiple aspects of neighborhood deprivation and, importantly, variation by race and ethnicity.

Housing outcomes among homeless-experienced veterans engaged in vocational services.

Though unemployment and homelessness are closely intertwined, vocational services are rarely prioritized for homeless-experienced individuals engaging in housing services. Our goal was to examine associations between vocational service use and housing outcomes among homeless-experienced Veterans engaged in permanent supportive housing. We obtained data from Veterans Health Administration (VHA) medical record and homelessness registry data for homeless-experienced Veterans engaged in U.S. Department of Veterans Affairs (VA) Greater Los Angeles' permanent supportive housing program from October 2016 to September 2017 (n = 1,200). We used multivariate logistic regression to examine whether vocational service use was associated with housing attainment and/or premature permanent supportive housing exits. We found that Veterans in permanent supportive housing who used vocational services were more likely to attain housing (OR = 2.52, p < .001) than their peers who did not use these services. There were no between-group differences in the odds of premature exits from the permanent supportive housing program (OR = 1.92, p = .425). Our study suggests that, among homeless-experienced Veterans engaged in permanent supportive housing programs, those who use vocational services potentially may be more likely to attain housing. However, future research can better elucidate the pathways underlying vocational service use and housing outcomes for individuals in permanent supportive housing programs. Greater integration of vocational services and permanent supportive housing programs, and encouragement of vocational service use may enhance housing outcomes among permanent supportive housing participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Healthcare service utilization for formerly homeless veterans in permanent supportive housing: Do neighborhoods matter?

Neighborhood characteristics are associated with residents' healthcare use. However, we understand less about these relationships among formerly homeless persons, who often have complex healthcare needs, including mental health and substance use disorders. Among formerly homeless Veterans, we examined: (a) how neighborhood characteristics are associated with Veteran Health Administration (VHA) healthcare use and, (b) if these relationships varied by Veterans' level of healthcare need. We obtained data on our cohort of 711 Veterans housed through VHA's permanent supportive housing program (HUD-VASH) in 2016-2017 from VHA's Homeless Registry, VHA's electronic health records, and the U.S. Census. We studied the relationships between neighborhood characteristics (% Veteran, % in poverty, % unemployed, % using public transportation, and % vacant properties) and VA healthcare use (primary care visits, outpatient mental health visits, and "high use" of emergency departments [> 4 visits]) using mixed-effects logistic and negative binomial regression models, controlling for patient demographics. We further examined moderation by patient healthcare need (calculated from cost and clinical data). We found that veterans in neighborhoods with higher percentages of residents who (a) were Veterans or (b) used public transportation were more likely to have high emergency department use. Those in neighborhoods with higher public transportation use had more primary care visits while those in neighborhoods with more property vacancies had more outpatient mental health visits. Among those with high healthcare needs, residents of areas with more Veterans had higher emergency department use. Promoting public transportation use and social engagement with other Veterans in residential neighborhoods may influence HUD-VASH Veterans' VA healthcare use. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Racial/Ethnic Variation in Veterans Health Administration COVID-19 Vaccine Uptake.

INTRODUCTION: Equitable COVID-19 vaccine access is imperative to mitigating negative COVID-19 impacts among racial/ethnic minorities. U.S. racial/ethnic minorities have lower COVID-19 vaccination rates than Whites despite higher COVID-19 death/case rates. The Veterans Health Administration provides the unique context of a managed care system with few access barriers. This study evaluates race/ethnicity as a predictor of Veterans Health Administration COVID-19 vaccination. METHODS: The cohort was composed of Veterans Health Administration outpatient users aged ≥65 years (N=3,474,874). COVID-19 vaccination was assessed between December 14, 2020 and February 23, 2021. Multivariable logistic regressions were conducted, controlling for demographics, medical comorbidity, and influenza vaccination history. Proximity to Indian Health Service Contract Health Service Delivery Areas was tested as a moderator. Data analyses were conducted during 2021. RESULTS: Blacks (OR=1.28, 95% CI=1.17, 1.40), Hispanics (OR=1.15, 95% CI=1.05, 1.25), and Asians (OR=1.21, 95% CI=1.02, 1.43) were more likely than Whites to receive Veterans Health Administration COVID-19 vaccinations. American Indian/Alaska Natives were less likely than Whites to receive Veterans Health Administration COVID-19 vaccinations, but only those residing in Contract Health Service Delivery Area counties (OR= 0.58, 95% CI= 0.47, 0.72). Influenza vaccine history positively predicted COVID-19 vaccine uptake (OR= 2.28, 95% CI=2.22, 2.34). CONCLUSIONS: In the Veterans Health Administration, compared with the general U.S. population, COVID-19 vaccine receipt is higher among most racial/ethnic minority groups than Whites, suggesting reduced vaccination barriers . The Indian Health Service may provide a safety net for American Indian/Alaska Native populations. Addressing vaccination access barriers in non-Veterans Health Administration settings can potentially reduce racial/ethnic disparities.