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Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020
OBJECTIVE: To measure the association between nursing home (NH) characteristics and Coronavirus Disease 2019 (COVID-19) prevalence among NH staff. DESIGN: Retrospective cross-sectional study. SETTING AND PARTICIPANTS: Centers for Disease Control and Prevention COVID-19 database for US NHs between Ma...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AMDA - The Society for Post-Acute and Long-Term Care Medicine.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877199/ https://www.ncbi.nlm.nih.gov/pubmed/33705743 http://dx.doi.org/10.1016/j.jamda.2021.02.004 |
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author | Ryskina, Kira L. Yun, Hyunkyung Wang, Hannah Chen, Angela T. Jung, Hye-Young |
author_facet | Ryskina, Kira L. Yun, Hyunkyung Wang, Hannah Chen, Angela T. Jung, Hye-Young |
author_sort | Ryskina, Kira L. |
collection | PubMed |
description | OBJECTIVE: To measure the association between nursing home (NH) characteristics and Coronavirus Disease 2019 (COVID-19) prevalence among NH staff. DESIGN: Retrospective cross-sectional study. SETTING AND PARTICIPANTS: Centers for Disease Control and Prevention COVID-19 database for US NHs between March and August 2020, linked to NH facility characteristics (LTCFocus database) and local COVID-19 prevalence (USA Facts). METHODS: We estimated the associations between NH characteristics, local infection rates, and other regional characteristics and COVID-19 cases among NH staff (nursing staff, clinical staff, aides, and other facility personnel) measured per 100 beds, controlling for the hospital referral regions in which NHs were located to account for local infection control practices and other unobserved characteristics. RESULTS: Of the 11,858 NHs in our sample, 78.6% reported at least 1 staff case of COVID-19. After accounting for local COVID-19 prevalence, NHs in the highest quartile of confirmed resident cases (413.5 to 920.0 cases per 1000 residents) reported 18.9 more staff cases per 100 beds compared with NHs that had no resident cases. Large NHs (150 or more beds) reported 2.6 fewer staff cases per 100 beds compared with small NHs (<50 beds) and for-profit NHs reported 0.8 fewer staff cases per 100 beds compared with nonprofit NHs. Higher occupancy and more direct-care hours per day were associated with more staff cases (0.4 more cases per 100 beds for a 10% increase in occupancy, and 0.7 more cases per 100 beds for an increase in direct-care staffing of 1 hour per resident day, respectively). Estimates associated with resident demographics, payer mix, or regional socioeconomic characteristics were not statistically significant. CONCLUSIONS AND IMPLICATIONS: These findings highlight the urgent need to support facilities with emergency resources such as back-up staff and protocols to reduce resident density within the facility, which may help stem outbreaks. |
format | Online Article Text |
id | pubmed-7877199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AMDA - The Society for Post-Acute and Long-Term Care Medicine. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78771992021-02-11 Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 Ryskina, Kira L. Yun, Hyunkyung Wang, Hannah Chen, Angela T. Jung, Hye-Young J Am Med Dir Assoc Brief Report OBJECTIVE: To measure the association between nursing home (NH) characteristics and Coronavirus Disease 2019 (COVID-19) prevalence among NH staff. DESIGN: Retrospective cross-sectional study. SETTING AND PARTICIPANTS: Centers for Disease Control and Prevention COVID-19 database for US NHs between March and August 2020, linked to NH facility characteristics (LTCFocus database) and local COVID-19 prevalence (USA Facts). METHODS: We estimated the associations between NH characteristics, local infection rates, and other regional characteristics and COVID-19 cases among NH staff (nursing staff, clinical staff, aides, and other facility personnel) measured per 100 beds, controlling for the hospital referral regions in which NHs were located to account for local infection control practices and other unobserved characteristics. RESULTS: Of the 11,858 NHs in our sample, 78.6% reported at least 1 staff case of COVID-19. After accounting for local COVID-19 prevalence, NHs in the highest quartile of confirmed resident cases (413.5 to 920.0 cases per 1000 residents) reported 18.9 more staff cases per 100 beds compared with NHs that had no resident cases. Large NHs (150 or more beds) reported 2.6 fewer staff cases per 100 beds compared with small NHs (<50 beds) and for-profit NHs reported 0.8 fewer staff cases per 100 beds compared with nonprofit NHs. Higher occupancy and more direct-care hours per day were associated with more staff cases (0.4 more cases per 100 beds for a 10% increase in occupancy, and 0.7 more cases per 100 beds for an increase in direct-care staffing of 1 hour per resident day, respectively). Estimates associated with resident demographics, payer mix, or regional socioeconomic characteristics were not statistically significant. CONCLUSIONS AND IMPLICATIONS: These findings highlight the urgent need to support facilities with emergency resources such as back-up staff and protocols to reduce resident density within the facility, which may help stem outbreaks. AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2021-05 2021-02-11 /pmc/articles/PMC7877199/ /pubmed/33705743 http://dx.doi.org/10.1016/j.jamda.2021.02.004 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 | Brief Report Ryskina, Kira L. Yun, Hyunkyung Wang, Hannah Chen, Angela T. Jung, Hye-Young Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 |
title | Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 |
title_full | Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 |
title_fullStr | Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 |
title_full_unstemmed | Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 |
title_short | Characteristics of Nursing Homes by COVID-19 Cases Among Staff: March to August 2020 |
title_sort | characteristics of nursing homes by covid-19 cases among staff: march to august 2020 |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877199/ https://www.ncbi.nlm.nih.gov/pubmed/33705743 http://dx.doi.org/10.1016/j.jamda.2021.02.004 |
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