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Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks have become common in large nursing homes, placing not only residents but also staff and community members at risk for infection. However, the relationship between larger nursing homes and the community spread of SARS...

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Autores principales: Kosar, Cyrus M., Rahman, Momotazur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842391/
https://www.ncbi.nlm.nih.gov/pubmed/33511570
http://dx.doi.org/10.1007/s11606-020-06518-2
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author Kosar, Cyrus M.
Rahman, Momotazur
author_facet Kosar, Cyrus M.
Rahman, Momotazur
author_sort Kosar, Cyrus M.
collection PubMed
description BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks have become common in large nursing homes, placing not only residents but also staff and community members at risk for infection. However, the relationship between larger nursing homes and the community spread of SARS-CoV-2 has not yet been documented. OBJECTIVE: To examine the association between county average nursing home bed size and presence of certificate of need (CON) laws, which influence nursing home size, with county-level SARS-CoV-2 prevalence over time. DESIGN: Cross-sectional study using county-level data from March 11 through June 12, 2020. PARTICIPANTS: All US counties with at least one nursing home (n = 2,883). MAIN MEASURES: The main explanatory variables were county average nursing home bed size and presence of a CON law. The main outcome was the cumulative number of SARS-CoV-2 cases on each day of the study period adjusted for county population size and density, demographic and socioeconomic characteristics, total nursing home bed supply, other health care supply measures, epidemic stage, and census region. KEY RESULTS: By June 12, a between-county difference in average nursing home size equal to 1 bed was associated with 3.92 additional SARS-COV-2 cases (95% CI = 2.14 to 5.69; P < 0.001), on average, and counties subject to CON laws had 104.53 additional SARS-CoV-2 cases (95% CI = 7.68 to 201.38; P < 0.05), on average. Counties with larger nursing homes also demonstrated higher growth in the frequency of SARS-COV-2 throughout the study period. CONCLUSIONS: At the county level, average nursing home size and CON law presence was associated with a greater frequency of SARS-CoV-2 cases. Controlling the impact of the coronavirus 2019 pandemic may require additional resources for communities with larger nursing homes and more attention towards long-term care policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-020-06518-2.
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spelling pubmed-78423912021-01-29 Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws Kosar, Cyrus M. Rahman, Momotazur J Gen Intern Med Original Research BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks have become common in large nursing homes, placing not only residents but also staff and community members at risk for infection. However, the relationship between larger nursing homes and the community spread of SARS-CoV-2 has not yet been documented. OBJECTIVE: To examine the association between county average nursing home bed size and presence of certificate of need (CON) laws, which influence nursing home size, with county-level SARS-CoV-2 prevalence over time. DESIGN: Cross-sectional study using county-level data from March 11 through June 12, 2020. PARTICIPANTS: All US counties with at least one nursing home (n = 2,883). MAIN MEASURES: The main explanatory variables were county average nursing home bed size and presence of a CON law. The main outcome was the cumulative number of SARS-CoV-2 cases on each day of the study period adjusted for county population size and density, demographic and socioeconomic characteristics, total nursing home bed supply, other health care supply measures, epidemic stage, and census region. KEY RESULTS: By June 12, a between-county difference in average nursing home size equal to 1 bed was associated with 3.92 additional SARS-COV-2 cases (95% CI = 2.14 to 5.69; P < 0.001), on average, and counties subject to CON laws had 104.53 additional SARS-CoV-2 cases (95% CI = 7.68 to 201.38; P < 0.05), on average. Counties with larger nursing homes also demonstrated higher growth in the frequency of SARS-COV-2 throughout the study period. CONCLUSIONS: At the county level, average nursing home size and CON law presence was associated with a greater frequency of SARS-CoV-2 cases. Controlling the impact of the coronavirus 2019 pandemic may require additional resources for communities with larger nursing homes and more attention towards long-term care policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-020-06518-2. Springer International Publishing 2021-01-28 2021-04 /pmc/articles/PMC7842391/ /pubmed/33511570 http://dx.doi.org/10.1007/s11606-020-06518-2 Text en © Society of General Internal Medicine 2021
spellingShingle Original Research
Kosar, Cyrus M.
Rahman, Momotazur
Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws
title Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws
title_full Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws
title_fullStr Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws
title_full_unstemmed Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws
title_short Early Acceleration of COVID-19 in Areas with Larger Nursing Homes and Certificate of Need Laws
title_sort early acceleration of covid-19 in areas with larger nursing homes and certificate of need laws
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842391/
https://www.ncbi.nlm.nih.gov/pubmed/33511570
http://dx.doi.org/10.1007/s11606-020-06518-2
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