Southeastern United States Predictors of COVID-19 in Nursing Homes.
COVID-19
Nursing home
Southeastern United States
Journal
Journal of applied gerontology : the official journal of the Southern Gerontological Society
ISSN: 1552-4523
Titre abrégé: J Appl Gerontol
Pays: United States
ID NLM: 8606502
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
pubmed:
13
4
2022
medline:
22
6
2022
entrez:
12
4
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35412383
doi: 10.1177/07334648221082022
pmc: PMC9098783
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1641-1650Références
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