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Racial, Ethnic, and Socioeconomic Differences in COVID-19 Diagnosis and Mortality Among Nursing Home Residents

Publication Date
Authors
Micah Segelman, Max Spiewak, Denise Tyler, Zhanlian Feng, Xiao Xiao, Xuanqi Wu, Ayush Manandhar, Thomas DeLeire, Iara Oliveira, Judy Dey

Nursing homes have been disproportionately impacted by COVID-19. The purpose of this study was to examine whether there were racial, ethnic, and socioeconomic differences in COVID-19 infection and mortality rates at both the nursing home resident and nursing home facility levels. The study includes national data on COVID-19 outcomes for nursing home residents through the end of June 2021. This study found that residents identifying as Black, Hispanic, Asian, or Native American had higher rates of COVID-19 diagnosis and mortality than White residents even after adjusting for risk factors such as comorbid conditions; individual level race, however, was no longer statistically significant after accounting for other nursing home and county characteristics. The study also found that facilities with a higher proportion of Black and Hispanic residents were significantly associated with greater likelihood of COVID-19 diagnosis; residents of facilities with a higher percentage of residents with Medicaid as the primary payer tended to have higher rates of COVID-19 diagnosis and mortality; and, greater county-level socioeconomic social vulnerability was associated with higher rates of COVID-19 diagnosis and mortality, although controlling for other variables of interest attenuated these relationships.

This research was conducted under contract #HHSP233201500050I between HHS/ASPE’s Office of Behavioral Health, Disability, and Aging Policy (BHDAP), and RTI International and Acumen. Additional research in this area is available at the ASPE Aging & Disability page.

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Product Type
Research Brief
Populations
Older Adults | Black & African American People | Hispanic, Latino, Latina, & Latinx People | Racial & Ethnic Groups | White People | Medicare-Medicaid Dual-Eligible | Medicare Beneficiaries | Underserved Populations
Location- & Geography-Based Data
National Data