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PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH
This study examined facility and community factors that were related to incident COVID-19 cases in nursing facilities. N=12,473 US nursing facilities were included in this study. Data from June 2020 - January 2021 from several sources were combined to create a dataset that included facility and comm...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765282/ http://dx.doi.org/10.1093/geroni/igac059.032 |
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author | Peterson, Matthew Lawhorne, Larry |
author_facet | Peterson, Matthew Lawhorne, Larry |
author_sort | Peterson, Matthew |
collection | PubMed |
description | This study examined facility and community factors that were related to incident COVID-19 cases in nursing facilities. N=12,473 US nursing facilities were included in this study. Data from June 2020 - January 2021 from several sources were combined to create a dataset that included facility and community factors. Results indicated that higher staff shortages, poorer facility rating, for-profit ownership, proportionally more Medicaid and non-white residents were all significantly associated with higher COVID case rates over 8 months (all P < 0.0001). Community level predictors of higher cases included urban setting and higher Social Vulnerability Index (SVI). SVI was the strongest predictor of COVID case counts. This study assists in determining critical facility and community factors that predict increasing COVID burden in nursing facilities. Particularly, SVI is an important factor in determining facility and public health policy, and for targeting resources in large scale health crises such as the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-9765282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97652822022-12-20 PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH Peterson, Matthew Lawhorne, Larry Innov Aging Abstracts This study examined facility and community factors that were related to incident COVID-19 cases in nursing facilities. N=12,473 US nursing facilities were included in this study. Data from June 2020 - January 2021 from several sources were combined to create a dataset that included facility and community factors. Results indicated that higher staff shortages, poorer facility rating, for-profit ownership, proportionally more Medicaid and non-white residents were all significantly associated with higher COVID case rates over 8 months (all P < 0.0001). Community level predictors of higher cases included urban setting and higher Social Vulnerability Index (SVI). SVI was the strongest predictor of COVID case counts. This study assists in determining critical facility and community factors that predict increasing COVID burden in nursing facilities. Particularly, SVI is an important factor in determining facility and public health policy, and for targeting resources in large scale health crises such as the COVID-19 pandemic. Oxford University Press 2022-12-20 /pmc/articles/PMC9765282/ http://dx.doi.org/10.1093/geroni/igac059.032 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Peterson, Matthew Lawhorne, Larry PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH |
title | PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH |
title_full | PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH |
title_fullStr | PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH |
title_full_unstemmed | PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH |
title_short | PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH |
title_sort | predictors of nursing home covid-19 cases: a community vulnerability approach |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765282/ http://dx.doi.org/10.1093/geroni/igac059.032 |
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