Southeastern United States Predictors of COVID-19 in Nursing Homes

This study’s aim was to determine nursing home (NH) and county-level predictors of COVID-19 outbreaks in nursing homes (NHs) in the southeastern region of the United States across three time periods. NH-level data compiled from census data and from NH compare and NH COVID-19 infection datasets provi...

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Published in:Journal of applied gerontology 2022-07, Vol.41 (7), p.1641-1650
Main Authors: Lane, Sandi J., Sugg, Maggie, Spaulding, Trent J., Hege, Adam, Iyer, Lakshmi
Format: Article
Language:English
Subjects:
Aged
Centers for Medicare and Medicaid Services, U.S
Counties
COVID-19
COVID-19 - epidemiology
Humans
Medicaid
Medicare
Nursing homes
Nursing Homes - statistics & numerical data
Original Manuscript
Random effects
Regions
Southeastern United States - epidemiology
United States
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cited_by cdi_FETCH-LOGICAL-c466t-b70217c850029c45100df7baceabe3c9fca6fc861f8574bb65f2426c876b33173
cites cdi_FETCH-LOGICAL-c466t-b70217c850029c45100df7baceabe3c9fca6fc861f8574bb65f2426c876b33173
container_end_page 1650
container_issue 7
container_start_page 1641
container_title Journal of applied gerontology
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creator Lane, Sandi J.
Sugg, Maggie
Spaulding, Trent J.
Hege, Adam
Iyer, Lakshmi
description This study’s aim was to determine nursing home (NH) and county-level predictors of COVID-19 outbreaks in nursing homes (NHs) in the southeastern region of the United States across three time periods. NH-level data compiled from census data and from NH compare and NH COVID-19 infection datasets provided by the Center for Medicare and Medicaid Services cover 2951 NHs located in 836 counties in nine states. A generalized linear mixed-effect model with a random effect was applied to significant factors identified in the final stepwise regression. County-level COVID-19 estimates and NHs with more certified beds were predictors of COVID-19 outbreaks in NHs across all time periods. Predictors of NH cases varied across the time periods with fewer community and NH variables predicting COVID-19 in NH during the late period. Future research should investigate predictors of COVID-19 in NH in other regions of the US from the early periods through March 2021.
doi_str_mv 10.1177/07334648221082022
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source Sociological Abstracts; SAGE
subjects Aged
Centers for Medicare and Medicaid Services, U.S
Counties
COVID-19
COVID-19 - epidemiology
Humans
Medicaid
Medicare
Nursing homes
Nursing Homes - statistics & numerical data
Original Manuscript
Random effects
Regions
Southeastern United States - epidemiology
United States
title Southeastern United States Predictors of COVID-19 in Nursing Homes
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