County-Level Social Determinants of Health and COVID-19 in Nursing Homes, United States, June 1, 2020–January 31, 2021

Author:

Hege Adam1ORCID,Lane Sandi2,Spaulding Trent2,Sugg Margaret3,Iyer Lakshmi S.4

Affiliation:

1. Department of Health and Exercise Science, Appalachian State University, Boone, NC, USA

2. Department of Nutrition and Healthcare Management, Appalachian State University, Boone, NC, USA

3. Department of Geography and Planning, Appalachian State University, Boone, NC, USA

4. Department of Computer Information Systems, Appalachian State University, Boone, NC, USA

Abstract

Objectives: Nursing homes are a primary setting of COVID-19 transmission and death, but research has primarily focused only on factors within nursing homes. We investigated the relationship between US nursing home–associated COVID-19 infection rates and county-level and nursing home attributes. Methods: We constructed panel data from the Centers for Medicare & Medicaid Services (CMS) minimum dataset, CMS nursing home data, 2010 US Census data, 5-year (2012-2016) American Community Survey estimates, and county COVID-19 infection rates. We analyzed COVID-19 data from June 1, 2020, through January 31, 2021, during 7 five-week periods. We used a maximum likelihood estimator, including an autoregressive term, to estimate effects and changes over time. We performed 3 model forms (basic, partial, and full) for analysis. Results: Nursing homes with nursing (0.005) and staff (0.002) shortages had high COVID-19 infection rates, and locally owned (−0.007) or state-owned (−0.025) and nonprofit (–0.011) agencies had lower COVID-19 infection rates than privately owned agencies. County-level COVID-19 infection rates corresponded with COVID-19 infection rates in nursing homes. Racial and ethnic minority groups had high nursing home–associated COVID-19 infection rates early in the study. High median annual personal income (−0.002) at the county level correlated with lower nursing home–associated COVID-19 infection rates. Conclusions: Communities with low rates of nursing home infections had access to more resources (eg, financial resources, staffing) and likely had better mitigation efforts in place earlier in the pandemic than nursing homes that had access to few resources and poor mitigation efforts. Future research should address the social and structural determinants of health that are leaving racial and ethnic minority populations and institutions such as nursing homes vulnerable during times of crises.

Funder

appalachian state university

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health

Reference78 articles.

1. Johns Hopkins University Coronavirus Resource Center. COVID-19 dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). 2021. Accessed March 25, 2021. https://coronavirus.jhu.edu/map.html

2. Centers for Disease Control and Prevention. COVID data tracker—United States COVID-19 cases, deaths, and laboratory testing (NAATs) by state, territory, and jurisdiction. Accessed March 25, 2021. https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

3. COVID-19 and the other pandemic: populations made vulnerable by systemic inequity

4. COVID-19 exacerbating inequalities in the US

5. Addressing inequities in COVID-19 morbidity and mortality: research and policy recommendations

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