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.

Dried blood spots: Effects of less than optimal collection, shipping time, heat, and humidity.

OBJECTIVES: This study investigates how factors related to collection, storage, transport time, and environmental conditions affect the quality and accuracy of analyses of dried blood spot (DBS) samples. METHODS: Data come from the 2016 Health and Retirement Study (HRS) DBS laboratory reports and the HRS merged with the National Climatic Data Center (NCDC) Global Historical Climate Network Daily (NCDC GHCN-Daily) and the NCDC Local Climatological Data, by zip code. We ran regression models to examine the associations between assay values based on DBS for five analytes (total cholesterol, high-density lipoprotein (HDL) cholesterol, glycosylated hemoglobin (HbA1c), C-reactive protein (CRP), and cystatin C) and the characteristics of DBS cards and drops, shipping time, and temperature, and humidity at the time of collection. RESULTS: We found cholesterol measures to be sensitive to many factors including small spots, shipping time, high temperature and humidity. Small spots in DBS cards are related to lower values across all analytes. Longer DBS transit time before freezing is associated with lower values of total and HDL cholesterol and cystatin C. Results were similar whether or not venous blood sample values were included in equations. CONCLUSIONS: Small spots, long shipping time, and exposure to high temperature and humidity need to be avoided if possible. Quality of spots and cards and information on shipping time and conditions should be coded with the data to make adjustments in values when necessary. The different results across analytes indicate that results cannot be generalized to all DBS assays.

COVID-19 Infection and Mortality in State Veterans Homes: A Multilevel Approach.

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.

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.

Provider discussion of health goals and psychosocial needs: Comparing older to younger veteran experience.

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.

Racial and Ethnic Variation in Complementary and Integrative Health Therapy Use Among US Veterans.

Importance: White individuals are the greatest users of complementary and integrative health (CIH) therapies in the general population, but this might partially be due to differences in age, health condition, and location. Identifying the nuances in racial and ethnic differences in care is one important step to addressing them. Objective: To evaluate racial and ethnic differences in Veterans Affairs (VA)-covered CIH therapy use in a more nuanced manner by examining the association of 5 demographic characteristics, health conditions, and medical facility locations with those differences. Design, Setting, and Participants: Retrospective cross-sectional observational study of VA health care system users, using electronic health record and administrative data at all VA medical facilities and community-based clinics. Participants included veterans with nonmissing race and ethnicity data using VA-funded health care between October 2018 and September 2019. Data were analyzed from June 2022 to April 2023. Main Outcome and Measure: Any use of VA-covered acupuncture, chiropractic care, massage therapy, yoga, or meditation/mindfulness. Results: The sample consisted of 5 260 807 veterans with a mean (SD) age of 62.3 (16.4) years and was 91% male (4 788 267 veterans), 67% non-Hispanic White (3 547 140 veterans), 6% Hispanic (328 396 veterans), and 17% Black (903 699 veterans). Chiropractic care was the most used CIH therapy among non-Hispanic White veterans, Hispanic veterans, and veterans of other races and ethnicities, while acupuncture was the most commonly used therapy among Black veterans. When not accounting for the location of the VA medical facilities in which veterans used health care, Black veterans appeared more likely to use yoga and meditation than non-Hispanic White veterans and far less likely to use chiropractic care, while those of Hispanic or other race and ethnicity appeared more likely to use massage than non-Hispanic White veterans. However, those differences mostly disappeared once controlling for medical facility location, with few exceptions-after adjustment Black veterans were less likely than non-Hispanic White veterans to use yoga and more likely to use chiropractic care. Conclusions and Relevance: This large-scale, cross-sectional study found racial and ethnic differences in use of 4 of 5 CIH therapies among VA health care system users when not considering their medical facility location. Given those differences mostly disappeared once medical facilities were accounted for, the results demonstrated the importance of considering facilities and residential locations when examining racial differences in CIH therapy use. Medical facilities could be a proxy for the racial and ethnic composition of their patients, CIH therapy availability, regional patient or clinician attitudes, or therapy availability.

Residential care in California.

We examine the distribution of residential care in California, showing geographical disparities in care supply and need. We mapped the ratio of beds to older women in Los Angeles and San Diego County census tracts and concentrations of small and large facilities in the Cities of Los Angeles and San Diego. The largest ratios of residential care beds per older women occur on the border of the City of San Diego and on the periphery of Los Angeles County away from the City of Los Angeles. Clusters of small facilities take place in northern Los Angeles and southeastern San Diego, while clusters of large facilities occur in Downtown Los Angeles and near La Jolla. Understanding geographical disparities in residential care supply and need in California can help residential care developers, service providers, and local and state agencies partner in planning for residential care facility development in underserved areas.

Residential care in Los Angeles: Evaluating the spatial distribution of facilities and neighbourhood access to care among older adults.

Residential care has increased in number of facilities and has grown in density in urban areas, yet it is disproportionately dispersed in cities and only beginning to meet the current long-term care need of older adults as an alternative to institutional and in-home care. California State Department of Social Services residential care facility data were linked with Los Angeles County census tract data to examine the spatial distribution of facilities through hot spot analysis of small and large clusters of facilities and zero-inflated negative binomial regression of census tract facility counts on older age and race groups, older disabled adults, and older adults in poverty in the area. The results show clusters of large facilities west of downtown Los Angeles and clusters of small facilities in the northern suburbs of the city in the San Fernando Valley. Increases in pre- and early-retired adults and older Hispanics in census tracts are associated with the greatest decreases in facility tract capacity in the area, whereas increases in the oldest old and older disabled adults are associated with the greatest increases. Understanding spatial disparities in residential care can help local agencies and developers plan and partner in more intentional and equitable development of facilities. The greatest opportunity for such development may lie in institutional tools for eldercare facility development such as the eldercare facility ordinance of Los Angeles and development of board and care facilities in residential zones of Los Angeles and other cities.

Are U.S. adults reporting less sleep?: Findings from sleep duration trends in the National Health Interview Survey, 2004-2017.

Study Objectives: To document trends in self-reported sleep duration for the noninstitutionalized U.S. civilian population from 2004 to 2017 and examine how sleep trends vary by race/ethnicity. Methods: We use data from the National Health Interview Survey (NHIS) for U.S. noninstitutionalized adults aged 18-84 from 2004 to 2017 (N = 398 382). NHIS respondents were asked how much they slept in a 24-hour period on average, which we categorized as ≤6 hr (short sleep), 7-8 hr (adequate sleep), and ≥9 hr (long sleep). We used multinomial logistic regression models to examine trends in self-reported sleep duration and assess race/ethnic differences in these trends. Our models statistically adjusted for demographic, socioeconomic, familial, behavioral, and health covariates. Results: The prevalence of short sleep duration was relatively stable from 2004 to 2012. However, results from multinomial logistic regression models indicated that there was an increasing trend toward short sleep beginning in 2013 (b: 0.09, 95% CI: 0.05-0.14) that continued through 2017 (b: 0.18, 95% CI: 0.13-0.23). This trend was significantly more pronounced among Hispanics and non-Hispanic blacks, which resulted in widening racial/ethnic differences in reports of short sleep. Conclusions: Recent increases in reports of short sleep are concerning as short sleep has been linked with a number of adverse health outcomes in the population. Moreover, growing race/ethnic disparities in short sleep may have consequences for racial and ethnic health disparities.

Functional Status and Adaptation: Measuring Activities of Daily Living and Device Use in the National Health and Aging Trends Study.

OBJECTIVE: The objective of this study is to evaluate the functional status and adaptation of older Americans and discover the factors that contribute to device use. METHOD: Using the community participants' portion of the first round of National Health and Aging Trends Study (NHATS), we demonstrate the prevalence of device use and reduction in activities, creating a multilevel measure of activities of daily living (ADL) functionality as compared with Katz's dichotomous measure. In determining whether adaptation is universal irrespective of age, sex, race, living arrangement, and income, or dependent on these variables, we create a measure of device use, performing a path analysis of the device use measure and sociodemographic variables, with disability score as an intervening measure. RESULTS: ADL functionality becomes more nuanced between the Katz-ADL and NHATS-ADL. Age, sex, and living arrangement were predictors of device use; income was indirectly, whereas race was not. DISCUSSION: When assessors design service plans, consideration should be given to older adults' ability, capacity, and resources to adapt.