Your browser doesn't support javascript.
Southeastern United States Predictors of COVID-19 in Nursing Homes.
Lane, Sandi J; Sugg, Maggie; Spaulding, Trent J; Hege, Adam; Iyer, Lakshmi.
  • Lane SJ; Department of Nutrition and Health Care Management, 539559Appalachian State University, Boone, NC, USA.
  • Sugg M; Department of Geography and Planning, 539559Appalachian State University, Boone, NC, USA.
  • Spaulding TJ; Department of Nutrition and Health Care Management, 539559Appalachian State University, Boone, NC, USA.
  • Hege A; Department of Public Health, 539559Appalachian State University, Boone, NC, USA.
  • Iyer L; Department of Computer Information Systems, 539559Appalachian State University, Boone, NC, USA.
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.
Assuntos
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

Similares

MEDLINE

...
LILACS

LIS


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