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Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes
At the beginning of the COVID-19 pandemic, some nursing homes (NHs) in Maryland suffered larger outbreaks than others. This study examined how facility characteristics influenced outbreak size. We conducted a retrospective analysis of secondary data from Maryland NHs to identify characteristics asso...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762488/ https://www.ncbi.nlm.nih.gov/pubmed/35047657 http://dx.doi.org/10.1177/23337214211063103 |
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author | Mattingly, T. Joseph Trinkoff, Alison Lydecker, Alison D. Kim, Justin J. Yoon, Jung Min Roghmann, Mary-Claire |
author_facet | Mattingly, T. Joseph Trinkoff, Alison Lydecker, Alison D. Kim, Justin J. Yoon, Jung Min Roghmann, Mary-Claire |
author_sort | Mattingly, T. Joseph |
collection | PubMed |
description | At the beginning of the COVID-19 pandemic, some nursing homes (NHs) in Maryland suffered larger outbreaks than others. This study examined how facility characteristics influenced outbreak size. We conducted a retrospective analysis of secondary data from Maryland NHs to identify characteristics associated with large outbreaks, defined as when total resident cases exceeded 10% of licensed beds, from January 1, 2020, through July 1, 2020. Our dataset was unique in its inclusion of short-stay residents as a measure of resident type and family satisfaction as a measure of quality. Facility characteristics were collected prior to 2020. Like other studies, we found that large outbreaks were more likely to occur in counties with high cumulative incidence of COVID-19, and in NHs with more licensed beds or fewer daily certified nursing assistant (CNA) hours. We also found that NHs with a greater proportion of short-stay residents were more likely to have large outbreaks, even after adjustment for other facility characteristics. Lower family satisfaction was not significantly associated with large outbreaks after adjusting for CNA hours. Understanding the characteristics of NHs with large COVID-19 outbreaks can guide facility re-structuring to prevent the spread of respiratory infections in future pandemics. |
format | Online Article Text |
id | pubmed-8762488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87624882022-01-18 Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes Mattingly, T. Joseph Trinkoff, Alison Lydecker, Alison D. Kim, Justin J. Yoon, Jung Min Roghmann, Mary-Claire Gerontol Geriatr Med Original Manuscript At the beginning of the COVID-19 pandemic, some nursing homes (NHs) in Maryland suffered larger outbreaks than others. This study examined how facility characteristics influenced outbreak size. We conducted a retrospective analysis of secondary data from Maryland NHs to identify characteristics associated with large outbreaks, defined as when total resident cases exceeded 10% of licensed beds, from January 1, 2020, through July 1, 2020. Our dataset was unique in its inclusion of short-stay residents as a measure of resident type and family satisfaction as a measure of quality. Facility characteristics were collected prior to 2020. Like other studies, we found that large outbreaks were more likely to occur in counties with high cumulative incidence of COVID-19, and in NHs with more licensed beds or fewer daily certified nursing assistant (CNA) hours. We also found that NHs with a greater proportion of short-stay residents were more likely to have large outbreaks, even after adjustment for other facility characteristics. Lower family satisfaction was not significantly associated with large outbreaks after adjusting for CNA hours. Understanding the characteristics of NHs with large COVID-19 outbreaks can guide facility re-structuring to prevent the spread of respiratory infections in future pandemics. SAGE Publications 2021-12-09 /pmc/articles/PMC8762488/ /pubmed/35047657 http://dx.doi.org/10.1177/23337214211063103 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Manuscript Mattingly, T. Joseph Trinkoff, Alison Lydecker, Alison D. Kim, Justin J. Yoon, Jung Min Roghmann, Mary-Claire Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes |
title | Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes |
title_full | Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes |
title_fullStr | Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes |
title_full_unstemmed | Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes |
title_short | Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes |
title_sort | short-stay admissions associated with large covid-19 outbreaks in maryland nursing homes |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762488/ https://www.ncbi.nlm.nih.gov/pubmed/35047657 http://dx.doi.org/10.1177/23337214211063103 |
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