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Nursing Home Characteristics Associated With Resident COVID-19 Morbidity in Communities With High Infection Rates

Educational Objective
To identify the key insights or developments described in this article
1 Credit CME

Nursing home (NH) residents have been disproportionately affected by the coronavirus disease 2019 (COVID-19) pandemic. Transmission rates in an NH’s surrounding community have been identified as a key risk factor associated with NH COVID-19 outbreaks.1 It is not known whether some NHs within communities are more successful at mitigating outbreaks among residents than others. We examined NHs in communities with the highest COVID-19 prevalence to identify characteristics associated with resident infection rates.

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CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.

Article Information

Accepted for Publication: January 22, 2021.

Published: March 16, 2021. doi:10.1001/jamanetworkopen.2021.1555

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Chen AT et al. JAMA Network Open.

Corresponding Author: Hye-Young Jung, PhD, Department of Population Health Sciences, Weill Cornell Medical College, 402 E 67th St, New York, NY 10065 (arj2005@med.cornell.edu).

Author Contributions: Ms Yun and Dr Jung had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Chen, Ryskina, Jung.

Acquisition, analysis, or interpretation of data: Chen, Yun, Jung.

Drafting of the manuscript: Chen, Jung.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Chen, Yun, Jung.

Obtained funding: Jung.

Administrative, technical, or material support: Ryskina, Jung.

Supervision: Ryskina, Jung.

Conflict of Interest Disclosures: None reported.

Funding/Support: Ms Chen received support from Training in Healthcare Financing, Organization and Delivery for Aging Populations grant T32 AG051090 from the National Institute on Aging (NIA), National Institutes of Health (NIH), awarded to the University of Pennsylvania. Dr Ryskina’s work on this study was supported by NIA Career Development Award K08-AG052572. Dr Jung’s work on this study was supported by Mentored Research Scientist Development Award K01AG057824 from the NIA).

Role of the Funder/Sponsor: The NIA and NIH had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.

References
1.
White  EM , Kosar  CM , Feifer  RA ,  et al.  Variation in SARS-CoV-2 prevalence in U.S. skilled nursing facilities.   J Am Geriatr Soc. 2020;68(10):2167-2173. doi:10.1111/jgs.16752 PubMedGoogle ScholarCrossref
2.
Centers for Medicare and Medicaid. COVID-19 nursing home data. 2020. Accessed October 20, 2020. https://data.cms.gov/stories/s/COVID-19-Nursing-Home-Data/bkwz-xpvg/
3.
Brown School of Public Health. Long-term care: facts on care in the US. 2020. Accessed February 10, 2021. http://ltcfocus.org/2/faq
4.
USAFacts. Coronavirus locations: COVID-19 map by county and state. 2020. Accessed October 20, 2020. https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/
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US Census Bureau. American Community Survey (ACS). 2017. Accessed October 20, 2020. https://www.census.gov/programs-surveys/acs
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Morris  JN , Fries  BE , Morris  SA .  Scaling ADLs within the MDS.   J Gerontol A Biol Sci Med Sci. 1999;54(11):M546-M553. doi:10.1093/gerona/54.11.M546PubMedGoogle ScholarCrossref
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