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Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has disproportionately impacted nursing homes (NHs) with large shares of Black residents. We examined the associations between the proportion of Black residents in NHs and COVID-19 infections and deaths, accounting for structural bias (operationalized a...

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Autores principales: Travers, Jasmine L., Agarwal, Mansi, Estrada, Leah V., Dick, Andrew W., Gracner, Tadeja, Wu, Bei, Stone, Patricia W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898962/
https://www.ncbi.nlm.nih.gov/pubmed/33762185
http://dx.doi.org/10.1016/j.jamda.2021.02.014
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author Travers, Jasmine L.
Agarwal, Mansi
Estrada, Leah V.
Dick, Andrew W.
Gracner, Tadeja
Wu, Bei
Stone, Patricia W.
author_facet Travers, Jasmine L.
Agarwal, Mansi
Estrada, Leah V.
Dick, Andrew W.
Gracner, Tadeja
Wu, Bei
Stone, Patricia W.
author_sort Travers, Jasmine L.
collection PubMed
description OBJECTIVE: Coronavirus disease 2019 (COVID-19) has disproportionately impacted nursing homes (NHs) with large shares of Black residents. We examined the associations between the proportion of Black residents in NHs and COVID-19 infections and deaths, accounting for structural bias (operationalized as county-level factors) and stratifying by urbanicity/rurality. DESIGN: This was a cross-sectional observational cohort study using publicly available data from the LTCfocus, Centers for Disease Control and Prevention Long-Term Care Facility COVID-19 Module, and the NYTimes county-level COVID-19 database. Four multivariable linear regression models omitting and including facility characteristics, COVID-19 burden, and county-level fixed effects were estimated. SETTING AND PARTICIPANTS: In total, 11,587 US NHs that reported data on COVID-19 to the Centers for Disease Control and Prevention and had data in LTCfocus and NYTimes from January 20, 2020 through July 19, 2020. MEASURES: Proportion of Black residents in NHs (exposure); COVID-19 infections and deaths (main outcomes). RESULTS: The proportion of Black residents in NHs were as follows: none= 3639 (31.4%), <20% = 1020 (8.8%), 20%-49.9% = 1586 (13.7%), ≥50% = 681 (5.9%), not reported = 4661 (40.2%). NHs with any Black residents showed significantly more COVID-19 infections and deaths than NHs with no Black residents. There were 13.6 percentage points more infections and 3.5 percentage points more deaths in NHs with ≥50% Black residents than in NHs with no Black residents (P < .001). Although facility characteristics explained some of the differences found in multivariable analyses, county-level factors and rurality explained more of the differences. CONCLUSIONS AND IMPLICATIONS: It is likely that attributes of place, such as resources, services, and providers, important to equitable care and health outcomes are not readily available to counties where NHs have greater proportions of Black residents. Structural bias may underlie these inequities. It is imperative that support be provided to NHs that serve greater proportions of Black residents while considering the rurality of the NH setting.
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spelling pubmed-78989622021-02-23 Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents Travers, Jasmine L. Agarwal, Mansi Estrada, Leah V. Dick, Andrew W. Gracner, Tadeja Wu, Bei Stone, Patricia W. J Am Med Dir Assoc Original Study OBJECTIVE: Coronavirus disease 2019 (COVID-19) has disproportionately impacted nursing homes (NHs) with large shares of Black residents. We examined the associations between the proportion of Black residents in NHs and COVID-19 infections and deaths, accounting for structural bias (operationalized as county-level factors) and stratifying by urbanicity/rurality. DESIGN: This was a cross-sectional observational cohort study using publicly available data from the LTCfocus, Centers for Disease Control and Prevention Long-Term Care Facility COVID-19 Module, and the NYTimes county-level COVID-19 database. Four multivariable linear regression models omitting and including facility characteristics, COVID-19 burden, and county-level fixed effects were estimated. SETTING AND PARTICIPANTS: In total, 11,587 US NHs that reported data on COVID-19 to the Centers for Disease Control and Prevention and had data in LTCfocus and NYTimes from January 20, 2020 through July 19, 2020. MEASURES: Proportion of Black residents in NHs (exposure); COVID-19 infections and deaths (main outcomes). RESULTS: The proportion of Black residents in NHs were as follows: none= 3639 (31.4%), <20% = 1020 (8.8%), 20%-49.9% = 1586 (13.7%), ≥50% = 681 (5.9%), not reported = 4661 (40.2%). NHs with any Black residents showed significantly more COVID-19 infections and deaths than NHs with no Black residents. There were 13.6 percentage points more infections and 3.5 percentage points more deaths in NHs with ≥50% Black residents than in NHs with no Black residents (P < .001). Although facility characteristics explained some of the differences found in multivariable analyses, county-level factors and rurality explained more of the differences. CONCLUSIONS AND IMPLICATIONS: It is likely that attributes of place, such as resources, services, and providers, important to equitable care and health outcomes are not readily available to counties where NHs have greater proportions of Black residents. Structural bias may underlie these inequities. It is imperative that support be provided to NHs that serve greater proportions of Black residents while considering the rurality of the NH setting. AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2021-04 2021-02-22 /pmc/articles/PMC7898962/ /pubmed/33762185 http://dx.doi.org/10.1016/j.jamda.2021.02.014 Text en © 2021 AMDA - The Society for Post-Acute and Long-Term Care Medicine. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Study
Travers, Jasmine L.
Agarwal, Mansi
Estrada, Leah V.
Dick, Andrew W.
Gracner, Tadeja
Wu, Bei
Stone, Patricia W.
Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents
title Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents
title_full Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents
title_fullStr Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents
title_full_unstemmed Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents
title_short Assessment of Coronavirus Disease 2019 Infection and Mortality Rates Among Nursing Homes With Different Proportions of Black Residents
title_sort assessment of coronavirus disease 2019 infection and mortality rates among nursing homes with different proportions of black residents
topic Original Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898962/
https://www.ncbi.nlm.nih.gov/pubmed/33762185
http://dx.doi.org/10.1016/j.jamda.2021.02.014
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