Southeastern United States Predictors of COVID-19 in Nursing Homes

Autor:	Sandi J. Lane, Maggie Sugg, Trent J. Spaulding, Adam Hege, Lakshmi Iyer
Rok vydání:	2022
Předmět:	COVID-19 Humans Geriatrics and Gerontology Medicare Gerontology Centers for Medicare and Medicaid Services U.S Southeastern United States United States Aged Nursing Homes
Zdroj:	Journal of Applied Gerontology. 41:1641-1650
ISSN:	1552-4523 0733-4648
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0193e49f6b8479e5eea08c70e1497c5 https://doi.org/10.1177/07334648221082022 Zobrazit plný text záznamu