Southeastern United States Predictors of COVID-19 in Nursing Homes.
J Appl Gerontol
; 41(7): 1641-1650, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: covidwho-1785007
ABSTRACT
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.
Palavras-chave
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Assunto principal:
COVID-19
/
Casas de Saúde
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
/
Ensaios controlados aleatorizados
Limite:
Idoso
/
Humanos
País/Região como assunto:
América do Norte
Idioma:
Inglês
Revista:
J Appl Gerontol
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
07334648221082022
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