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Objectives: Some state veterans homes (SVHs) received media attention in the wake of the COVID-19 pandemic because of allegations of poor infection control and excess mortality. However, little research has investigated how these facilities differ from community nursing homes (CNHs) and what the geographical trends of these infection and mortality differences are. We aimed to test (1) whether infection was overall lower in SVHs than CNHs, (2) whether mortality was overall lower in SVHs than CNHs, as well as the geographic distribution of nursing home infection and mortality across the United States., Design: Retrospective nationwide cohort study., Setting and Participants: Skilled nursing facilities in the United States from May 2020 to July 2022 during the COVID-19 pandemic., Methods: Using multilevel negative binomial regression, we modeled COVID-19 infection and mortality rates in skilled nursing homes, testing for overall SVH differences from May 2020 to July 2022, placing random effects on counties to calculate adjusted county-level infection and mortality rates., Results: SVHs experienced 18% fewer cases but 25% more deaths overall compared with CNHs. Counties with the highest levels of facility infection, including counties with SVHs, were situated mainly in Midwestern, Atlantic, and Southern states, with the majority of counties with low infection levels in Central and Western states. Counties with the highest levels of facility mortality emerged in Rust Belt and Midwestern states down to Southern states, with the lowest levels of county-level mortality, particularly among counties containing SVHs, occurring westward to Central and Western states., Conclusion and Implications: SVHs experienced lower infection levels but higher mortality levels than CNHs, and fewer extremely high infection and mortality rates in counties containing SVHs despite higher mortality risk in SVHs, calling attention to unobserved facility-level differences such as gender and age distributions and future research opportunities using more granular geographical aggregations to better understand facility-level SVH risk within the broader neighborhood context., Competing Interests: Disclosure The authors declare no conflicts of interest., (Published by Elsevier Inc.)

Objective: To examine the role of patient-perceived access to primary care in mediating and moderating racial and ethnic disparities in hypertension control and diabetes control among Veterans Health Administration (VA) users., Data Source and Study Setting: We performed a secondary analysis of national VA user administrative data for fiscal years 2016-2019., Study Design: Our primary exposure was race or ethnicity and primary outcomes were binary indicators of hypertension control (<140/90 mmHg) and diabetes control (HgbA1c < 9%) among patients with known disease. We used the inverse odds-weighting method to test for mediation and logistic regression with race and ethnicity-by-perceived access interaction product terms to test moderation. All models were adjusted for age, sex, socioeconomic status, rurality, education, self-rated physical and mental health, and comorbidities., Data Collection/extraction Methods: We included VA users with hypertension and diabetes control data from the External Peer Review Program who had contemporaneously completed the Survey of Healthcare Experience of Patients-Patient-Centered Medical Home. Hypertension (34,233 patients) and diabetes (23,039 patients) samples were analyzed separately., Principal Findings: After adjustment, Black patients had significantly lower rates of hypertension control than White patients (75.5% vs. 78.8%, p < 0.01); both Black (81.8%) and Hispanic (80.4%) patients had significantly lower rates of diabetes control than White patients (85.9%, p < 0.01 for both differences). Perceived access was lower among Black, Multi-Race and Native Hawaiian and Other Pacific Islanders compared to White patients in both samples. There was no evidence that perceived access mediated or moderated associations between Black race, Hispanic ethnicity, and hypertension or diabetes control., Conclusions: We observed disparities in hypertension and diabetes control among minoritized patients. There was no evidence that patients' perception of access to primary care mediated or moderated these disparities. Reducing racial and ethnic disparities within VA in hypertension and diabetes control may require interventions beyond those focused on improving patient access., (© 2023 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Objective: To examine by age, the veterans' report on whether components of age-friendly health systems were discussed during primary care visits., Data Sources and Study Setting: Veterans Affairs (VA) Survey of Healthcare Experience of Patients from October 2015 to September 2019., Study Design: Cross-sectional survey of VA users by age group (18-44 years, 45-64 years, 65+ years; N = 1,042,318). We used weighted logistic regression models to evaluate disparities in whether veterans discussed with anyone in their provider's office: health goals, depression symptoms, stress, personal problems, and medications. Models were adjusted for socio-demographic characteristics (sex, socioeconomic status, education, rurality) and comorbidity., Data Collection/extraction Method: Surveys were administered by mail and online. Additional veteran characteristics were extracted from VA administrative data., Principal Findings: In unadjusted analyses, VA users age 18-44 had a higher (-8.2%; CI: -9.0, -7.3) and users aged 45 to 64 had lower (4.0%; CI: 3.7, 4.3) predicted, probably discussing health goals compared to age 65+. Fewer VA users age 65+ reported discussing depression symptoms, personal problems, and stress than other age groups, whereas more VA users age 65+ discussed medications. Results were unchanged after adjusting for socio-demographics and comorbidity., Conclusions: Delivery of goal-concordant care relies on understanding the needs of individual patients. Lower rates of discussing what matters and mood represent potential missed opportunities to deliver age-friendly care for older veterans., (Published 2022. This article is a U.S. Government work and is in the public domain in the USA.)

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., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

Objective: This study examined the association between serious mental illness diagnoses and COVID-19 vaccination among Veterans Health Administration (VHA) patients., Methods: The sample (N=4,890,693) comprised veterans ages ≥18 years with VHA outpatient visits from March 1, 2018, through February 29, 2020. Veterans with serious mental illness were identified with ICD-10 diagnostic codes from electronic health records of the U.S. Department of Veterans Affairs. Receipt of a VHA COVID-19 vaccine from December 1, 2020, through June 1, 2021, was documented by using procedure codes. Treatment effects estimation with inverse-probability weighting was used to estimate the effects of serious mental illness on COVID-19 vaccine uptake., Results: Patients with serious mental illness and patients without serious mental illness were equally likely to receive a vaccination (48% and 46%, respectively; average effect of serious mental illness=-0.4%, 95% confidence interval=-0.8% to 0.1%)., Conclusions: VHA outreach activities have contributed to equitable distribution of the COVID-19 vaccine.

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., (Published 2021. This article is a U.S. Government work and is in the public domain in the USA.)

Objective: To examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation., Data Sources: Electronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census., Study Design: Racial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions., Principal Findings: Mortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations., Conclusions: Neighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention., (Published 2020. This article is a U.S. Government work and is in the public domain in the USA. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.)

Background: Obesity is highly stigmatized, especially for women, and therefore may negatively affect health care experiences. Past findings on the relationship between obesity and health care experiences are mixed, perhaps because few studies examine relationships by gender and obesity class. Our objective was to evaluate whether women and men with more severe obesity report worse health care experiences related to Veterans Health Administration (VA) care., Methods: Health care experiences (self-management support, mental health assessments, office staff courtesy, communication with providers) and overall provider ratings were assessed with the 2014 VA Survey of Health Care Experiences of Patients. Using multiple regression analyses (n = 13,462 women, n = 268,180 men), we assessed associations among obesity classes, health care experiences, and overall provider ratings, adjusting for sociodemographic, health, and primary care use characteristics., Results: The greatest differences in health care experiences between patients with and without obesity were in self-management support experiences, which were more favorable among women and men of all obesity classes. There were gender differences in associations between obesity and mental health assessments: for men, but not women, those in any obesity class gave higher ratings than those without obesity. For most other health care experiences and provider ratings, men with obesity reported slightly less favorable experiences than those without. There was no consistent pattern for women., Conclusions: It is promising that VA patients with obesity report more self-management support, given the behavior change required for weight management. Lower health care experience and provider ratings among men with obesity suggest a need to further investigate possible obesity-related stigma in VA primary care., (Published by Elsevier Inc.)

OBJECTIVE: To examine by age, the veterans report on whether components of age-friendly health systems were discussed during primary care visits. DATA SOURCES AND STUDY SETTING: Veterans Affairs (VA) Survey of Healthcare Experience of Patients from October 2015 to September 2019. STUDY DESIGN: Cross-sectional survey of VA users by age group (18-44 years, 45-64 years, 65+ years; N = 1,042,318). We used weighted logistic regression models to evaluate disparities in whether veterans discussed with anyone in their providers office: health goals, depression symptoms, stress, personal problems, and medications. Models were adjusted for socio-demographic characteristics (sex, socioeconomic status, education, rurality) and comorbidity. DATA COLLECTION/EXTRACTION METHOD: Surveys were administered by mail and online. Additional veteran characteristics were extracted from VA administrative data. PRINCIPAL FINDINGS: In unadjusted analyses, VA users age 18-44 had a higher (-8.2%; CI: -9.0, -7.3) and users aged 45 to 64 had lower (4.0%; CI: 3.7, 4.3) predicted, probably discussing health goals compared to age 65+. Fewer VA users age 65+ reported discussing depression symptoms, personal problems, and stress than other age groups, whereas more VA users age 65+ discussed medications. Results were unchanged after adjusting for socio-demographics and comorbidity. CONCLUSIONS: Delivery of goal-concordant care relies on understanding the needs of individual patients. Lower rates of discussing what matters and mood represent potential missed opportunities to deliver age-friendly care for older veterans.

ObjectiveTo examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation.Data sourcesElectronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census.Study designRacial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions.Principal findingsMortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations.ConclusionsNeighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention.

Patient-centered medical homes (PCMH) are primary care delivery models that improve care access and population-level health outcomes, yet they have not been observed to narrow racial-ethnic disparities in the Veteran Health Administration (VHA) or other health systems. We aimed to identify and compare underlying drivers of persistent hypertension and diabetes control differences between non-Hispanic Black (Black) and Hispanic versus non-Hispanic White (White) patients before and after PCMH implementation in the VHA. Among Black and Hispanic versus White VHA primary care patients in 2009 (nhypertension = 26,906; ndiabetes = 21,141) and 2014 (nhypertension = 83,809; ndiabetes = 38,887), we retrospectively examined hypertension control (blood pressure

Purpose: Equal-access health care systems such as the Veterans Health Administration (VHA) reduce financial and nonfinancial barriers to care. It is unknown if such systems mitigate racial/ethnic mortality disparities, such as those well documented in the broader U.S. population. We examined racial/ethnic mortality disparities among VHA health care users, and compared racial/ethnic disparities in VHA and U.S. general populations. Methods: Linking VHA records for an October 2008 to September 2009 national VHA user cohort, and National Death Index records, we assessed all-cause, cancer, and cardiovascular-related mortality through December 2011. We calculated age-, sex-, and comorbidity-adjusted mortality hazard ratios. We computed sex-stratified, age-standardized mortality risk ratios for VHA and U.S. populations, then compared racial/ethnic disparities between the populations. Results: Among VHA users, American Indian/Alaskan Natives (AI/ANs) had higher adjusted all-cause mortality, whereas non-Hispanic Blacks had higher cause-specific mortality versus non-Hispanic Whites. Asians, Hispanics, and Native Hawaiian/Other Pacific Islanders had similar, or lower all-cause and cause-specific mortality versus non-Hispanic Whites. Mortality disparities were evident in non-Hispanic-Black men compared with non-Hispanic White men in both VHA and U.S. populations for all-cause, cardiovascular, and cancer (cause-specific) mortality, but disparities were smaller in VHA. VHA non-Hispanic Black women did not experience the all-cause and cause-specific mortality disparity present for U.S. non-Hispanic Black women. Disparities in all-cause and cancer mortality existed in VHA but not in U.S. population AI/AN men. Conclusion: Patterns in racial/ethnic disparities differed between VHA and U.S. populations, with fewer disparities within VHAs equal-access system. Equal-access health care may partially address racial/ethnic mortality disparities, but other nonhealth care factors should also be explored.

Objective Emotional awareness and expression therapy (EAET) emphasizes the importance of the central nervous system and emotional processing in the etiology and treatment of chronic pain. Prior trials suggest EAET can substantially reduce pain; however, only one has compared EAET with an established alternative, demonstrating some small advantages over cognitive behavioral therapy (CBT) for fibromyalgia. The current trial compared EAET with CBT in older, predominately male, ethnically diverse veterans with chronic musculoskeletal pain. Design Randomized comparison trial. Setting Outpatient clinics at the West Los Angeles VA Medical Center. Subjects Fifty-three veterans (mean age = 73.5 years, 92.4% male) with chronic musculoskeletal pain. Methods Patients were randomized to EAET or CBT, each delivered as one 90-minute individual session and eight 90-minute group sessions. Pain severity (primary outcome), pain interference, anxiety, and other secondary outcomes were assessed at baseline, post-treatment, and three-month follow-up. Results EAET produced significantly lower pain severity than CBT at post-treatment and follow-up; differences were large (partial η2 = 0.129 and 0.157, respectively). At post-treatment, 41.7% of EAET patients had >30% pain reduction, one-third had >50%, and 12.5% had >70%. Only one CBT patient achieved at least 30% pain reduction. Secondary outcomes demonstrated small to medium effect size advantages of EAET over CBT, although only post-treatment anxiety reached statistical significance. Conclusions This trial, although preliminary, supports prior research suggesting that EAET may be a treatment of choice for many patients with chronic musculoskeletal pain. Psychotherapy may achieve substantial pain reduction if pain neuroscience principles are emphasized and avoided emotions are processed. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer (CRC) is a deadly but largely preventable disease. Screening improves outcomes, but screening rates vary across healthcare coverage models. In the Veterans Health Administration (VA), screening rates are high; however, it is unknown how CRC screening rates compare for Veterans with other types of healthcare coverage.Aims: To determine whether Veterans with Veteran-status-related coverage (VA, military, TRICARE) have higher rates of CRC screening than Veterans with alternate sources of healthcare coverage.Methods: We conducted a cross-sectional analysis of Veterans 50-75 years from the 2014 Behavioral Risk Factor Surveillance System survey. We examined CRC screening rates and screening modalities. We performed multivariable logistic regression to identify the role of coverage type, demographics, and clinical factors on screening status.Results: The cohort included 22,138 Veterans. Of these, 76.7% reported up-to-date screening. Colonoscopy was the most common screening modality (83.7%). Screening rates were highest among Veterans with Veteran-status-related coverage (82.3%), as was stool-based screening (10.8%). The adjusted odds of up-to-date screening among Veterans with Veteran-status-related coverage were 83% higher than among Veterans with private coverage (adjusted OR = 1.83, 95% CI = 1.52-2.22). Additional predictors of screening included older age, black race, high income, access to medical care, frequent medical visits, and employed or married status.Conclusions: CRC screening rates were highest among Veterans with Veteran-status-related coverage. High CRC screening rates among US Veterans may be related to system-level characteristics of VA and military care. Insight to these system-level characteristics may inform mechanisms to improve CRC screening in non-VA settings. [ABSTRACT FROM AUTHOR]

Patient-centered medical homes are widely promoted as a primary care delivery model that achieves better patient outcomes. It is unknown if their benefits extend equally to all racial/ethnic groups. In 2010 the Veterans Health Administration, part of the Department of Veterans Affairs (VA), began implementing patient-centered medical homes nationwide. In 2009 significant disparities in hypertension or diabetes control were present for most racial/ethnic groups, compared with whites. In 2014 hypertension disparities were similar for blacks, had become smaller but remained significant for Hispanics, and were no longer significant for multiracial veterans, whereas disparities had become significant for American Indians/Alaska Natives and Native Hawaiians/other Pacific Islanders. By contrast, in 2014 diabetes disparities were similar for American Indians/Alaska Natives, blacks, and Hispanics, and were no longer significant for Native Hawaiians/other Pacific Islanders. We found that the modest benefits of the VA's implementation of patient-centered medical homes were offset by competing multifactorial external, health system, provider, and patient factors, such as increased patient volume. To promote health equity, health care innovations such as patient-centered medical homes should incorporate tailored strategies that account for determinants of racial/ethnic variations. Evaluations of patient-centered medical homes should monitor outcomes for racial/ethnic groups. [ABSTRACT FROM AUTHOR]

In Wong et al,1 the funding information should be amended so it reads as: B Funding information b Funding for this project is from Veterans Health Administration (VHA) Office of Health Equity and Quality Enhancement Research Initiative (Grant No. PEC-15-239). Dr. Wong was funded by VA Office of Academic Affiliations through a VA Health Services Research and Development (HSR&D) Fellowship. Relationship of neighborhood social determinants of health on racial/ethnic mortality disparities in US veterans - mediation and moderating effects. [Extracted from the article]