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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.
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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.
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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.
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COVID-19 , Estados Unidos/epidemiologia , Humanos , COVID-19/prevenção & controle , Pandemias/prevenção & controle , Vulnerabilidade Social , Centers for Disease Control and Prevention, U.S. , Surtos de DoençasRESUMO
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.
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COVID-19 , Saúde dos Veteranos , Humanos , Estados Unidos/epidemiologia , Vacinas contra COVID-19 , COVID-19/epidemiologia , Hospitalização , HospitaisRESUMO
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.
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COVID-19 , Etnicidade , Masculino , Humanos , Pessoa de Meia-Idade , Feminino , Estudos de Coortes , Saúde dos Veteranos , California , Hospitalização , Fatores SocioeconômicosRESUMO
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).
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Pessoas Mal Alojadas , Veteranos , Estados Unidos , Humanos , Habitação , United States Department of Veterans Affairs , Modelos Logísticos , Habitação PopularRESUMO
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.
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Vacinas contra COVID-19 , COVID-19 , Idoso , COVID-19/prevenção & controle , Etnicidade , Humanos , Grupos Minoritários , Estados Unidos , Saúde dos VeteranosRESUMO
PURPOSE: Racial/ethnic minoritized groups, women, and economically disadvantaged groups are disproportionately affected by the COVID-19 pandemic. We investigated racial/ethnic differences by gender in correlates of COVID-19 infection among veterans seeking health care services at the Veterans Health Administration. Little is known about gender-specific factors associated with infection among veterans. This study seeks to fill this gap. METHODS: The sample was veterans with results from a COVID-19 test (polymerase chain reaction) conducted at Veterans Health Administration facilities between March 1, 2020, and August 5, 2020, and linked to the Centers for Disease Control and Prevention Social Vulnerability Index data (39,223 women and 316,380 men). Bivariate, multivariate logistic, and predicted probability analyses were conducted. All analyses were stratified by gender. RESULTS: Similar percentages of women and men tested positive for COVID-19 (9.6% vs. 10.0%). In multivariate analysis, compared with non-Hispanic White women, American Indian/Alaska Native, Black, and Hispanic women all had significantly higher odds of infection. Similar racial/ethnic differences were found for men. Both older men and women (>40 years) had lower odds of infection, but the age cut points differed (40 for women, 55 for men). Men 80 years and older had a higher odds than those aged less than 40 years of age. For men, but not for women, being employed (vs. unemployed) was associated with an increased odds of infection, and having comorbidities was associated with decreased odds. There were significant differences within and across gender-by-race/ethnicity in infection, after adjusting for covariates. CONCLUSIONS: American Indian/Alaska Native, Hispanic, and Black women and men veterans are disproportionately impacted by COVID-19 infection. Widespread testing and tracking, education, and outreach regarding COVID-19 mitigation and vaccination efforts are recommended.
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COVID-19 , Veteranos , Adulto , Negro ou Afro-Americano , Idoso , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , COVID-19/etnologia , Etnicidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Grupos Raciais , Vulnerabilidade Social , Estados Unidos/epidemiologia , Saúde dos Veteranos , População BrancaRESUMO
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).
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Pessoas Mal Alojadas , Veteranos , Atenção à Saúde , Pessoas Mal Alojadas/psicologia , Habitação , Humanos , Habitação Popular , Estados Unidos , United States Department of Veterans Affairs , Veteranos/psicologiaRESUMO
OBJECTIVES: American Indian and Alaska Native (AI/AN) communities have been disproportionately affected by the coronavirus disease 2019 (COVID-19) pandemic. This study examines whether neighborhood characteristics mediate AI/AN versus White-non-Hispanic Veteran COVID-19 infection disparities, and whether mediation differs based on proximity to reservations. METHODS: Using Veteran Health Administration's (VHA) national database of VHA users evaluated for COVID-19 infection (3/1/2020-8/25/2020), we examined whether census tract neighborhood characteristics (percent households overcrowded, without complete plumbing, without kitchen plumbing, and neighborhood socioeconomic status [n-SES]) mediated racial disparities in COVID-19 infection, using inverse odds-weighted logistic models controlling for individual-level characteristics. Using moderated mediation analyses, we assessed whether neighborhood mediating effects on disparities differed for those residing in counties containing/near federally recognized tribal lands (i.e., Contract Health Service Delivery Area [CHSDA] counties) versus not. RESULTS: The percent of households without complete plumbing, percent without kitchen plumbing, and n-SES partially mediated AI/AN-White-non-Hispanic COVID-19 infection disparities (accounting for 17-35% of disparity) to a similar extent in CHSDA and non-CHSDA counties. The percent of households without kitchen plumbing had stronger mediating effects for CHSDA than non-CHSDA residents. CONCLUSIONS: Neighborhood-level social determinants of health may contribute to the disproportionate COVID-19 infection burden on AI/ANs; differences are exacerbated among AI/ANs living near reservations.
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COVID-19 , Veteranos , Humanos , Grupos Raciais , Indígena Americano ou Nativo do AlascaRESUMO
Racial/ethnic disparities in coronavirus disease 2019 (COVID-19) hospitalization and mortality have emerged in the United States, but less is known about whether similar differences exist in testing, and how this changed as COVID-19 knowledge and policies evolved. We examined racial/ethnic variations in COVID-19 testing over time among veterans who sought care for COVID-19 symptoms or exposure. In the national population of all Veterans who sought Veterans Health Administration (VHA) care for COVID-19 symptoms or exposure (n = 913,806), we conducted multivariate logistic regressions to explore race/ethnicity-by-time period differences in testing from 3/1/2020-11/25/2020, and calculated predicted probabilities by race/ethnicity and time period. Early in the pandemic (3/1/2020-4/6/2020) when testing was limited and there was less awareness of racial/ethnic disparities, non-Hispanic Black, Hispanic, and other non-White racial/ethnic minority Veterans who sought care from VHA for COVID-19 symptoms or exposure were more likely than non-Hispanic White Veterans to receive a COVID-19 test (p < 0.05). In subsequent time periods (4/7/2020-11/25/2020), testing was similar among all racial/ethnic groups. Among Veterans with COVID-19 symptoms or exposure, non-Hispanic Black and Hispanic patients were just as likely, and in some cases, more likely, to receive a COVID-19 test versus non-Hispanic White patients. The United States faced testing shortages at the start of the third wave of the pandemic; additional shortages are likely to emerge as the pandemic continues to peak and ebb. It is important to ensure that racial/ethnic minorities and others at greater risk for infection continue to have access to COVID-19 testing with each of these peaks.
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Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration's (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020-5/31/2020 (spring); 6/1/2020-8/31/2020 (summer); and 9/1/2020-11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection and mortality changed over time. American Indian/Alaskan Natives (AI/AN), Blacks, Hispanics, and Native Hawaiians/Other Pacific Islanders experienced higher COVID-19 infections compared to Whites during the summertime. There were mortality disparities for Blacks in springtime, and AI/ANs, Asians, and Hispanics in summertime. Policy makers should consider the dynamic nature of racial/ethnic disparities as the pandemic evolves, and potential effects of risk mitigation and other (e.g., economic) policies on these disparities. Researchers should consider how trends in disparities change over time in other samples.
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COVID-19 , Etnicidade , Havaí , Disparidades nos Níveis de Saúde , Hispânico ou Latino , Humanos , Grupos Minoritários , SARS-CoV-2 , Estados Unidos/epidemiologiaRESUMO
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).
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Qualidade de Vida , United States Department of Veterans Affairs , Humanos , Equipe de Assistência ao Paciente , Satisfação do Paciente , Atenção Primária à Saúde , Estados UnidosRESUMO
OBJECTIVE: The purpose of this study was to assess associations between BMI and severe coronavirus disease 2019 (COVID-19) outcomes: hospitalization, intensive care unit (ICU) admission, and mortality. A secondary aim was to investigate whether associations varied by age. METHODS: The cohort comprised patients in the Veterans Health Administration (VHA) who tested positive for COVID-19 (N = 9,347). For each outcome, we fit piecewise logistic regression models with restricted cubic splines (knots at BMI of 23, 30, and 39), adjusting for age, sex, comorbidities, VHA nursing home residence, and race/ethnicity. Supplemental analyses included age-by-BMI interaction terms (α = 0.05). RESULTS: We found evidence of a nonlinear J-curve association between BMI and likelihood of hospitalization and mortality. BMI was associated with increased odds for hospitalization, ICU admission, and mortality among patients with BMI 30 to 39 but decreased odds of hospitalization and mortality for patients with BMI 23 to 30. Patients under age 75 with BMI between 30 and 39 had increased odds for mortality with increasing BMI. CONCLUSIONS: Odds for severe outcomes with COVID-19 infection increased with increasing BMI for people with, but not without, obesity. This nonlinear relationship should be tested in future research. COVID-19 public health messages in VHA, and broadly, should incorporate information about risks associated with all classes of obesity, particularly for those under age 75.
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Índice de Massa Corporal , COVID-19/epidemiologia , Veteranos/estatística & dados numéricos , Idoso , Estudos de Coortes , Comorbidade , Feminino , Hospitalização , Humanos , Unidades de Terapia Intensiva , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Obesidade/complicações , Fatores de Risco , Estados Unidos/epidemiologia , Saúde dos Veteranos , Serviços de Saúde para Veteranos MilitaresRESUMO
Posttraumatic stress disorder (PTSD) is associated with coronavirus disease 2019 (COVID-19) risk factors, such as hypertension and obesity. Associations between PTSD and COVID-19 outcomes may affect Veterans Health Administration (VA) services, as PTSD occurs at higher rates among veterans than the general population. While previous research has identified the potential for increased PTSD prevalence resulting from COVID-19 as a public health concern, no known research examines the effect of pre-existing PTSD on COVID-19 test-seeking behavior or infection. This study aimed to evaluate pre-existing PTSD as a predictor of COVID-19 testing and test positivity. The sample consisted of 6,721,407 veterans who sought VA care between March 1, 2018 and February 29, 2020. Veterans with a previous PTSD clinical diagnosis were more likely to receive COVID-19 testing than veterans without PTSD. However, among those with available COVID-19 test results (n = 168,032), veterans with a previous PTSD clinical diagnosis were less likely to test positive than veterans without PTSD. Elevated COVID-19 testing rates among veterans with PTSD may reflect increased COVID-19 health concerns and/or hypervigilance. Lower rates of COVID-19 test positivity among veterans with PTSD may reflect increased social isolation, or overrepresentation in the tested population due to higher overall use of VA services. As the COVID-19 pandemic continues, the identification of patient-level psychiatric predictors of testing and test positivity can facilitate the targeted provision of medical and mental health services to individuals in need.