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The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes
OBJECTIVES: In the United States, nursing facility residents comprise fewer than 1% of the population but more than 40% of deaths due to Coronavirus Disease 2019 (COVID-19). Mitigating the enormous risk of COVID-19 to nursing home residents requires adequate data. The widely used Centers for Medicar...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945871/ https://www.ncbi.nlm.nih.gov/pubmed/33812840 http://dx.doi.org/10.1016/j.jamda.2021.03.001 |
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author | Miller, Katherine E.M. Gorges, Rebecca J. Konetzka, R. Tamara Van Houtven, Courtney H. |
author_facet | Miller, Katherine E.M. Gorges, Rebecca J. Konetzka, R. Tamara Van Houtven, Courtney H. |
author_sort | Miller, Katherine E.M. |
collection | PubMed |
description | OBJECTIVES: In the United States, nursing facility residents comprise fewer than 1% of the population but more than 40% of deaths due to Coronavirus Disease 2019 (COVID-19). Mitigating the enormous risk of COVID-19 to nursing home residents requires adequate data. The widely used Centers for Medicare & Medicaid Services (CMS) COVID-19 Nursing Home Dataset contains 2 derived statistics: Total Resident Confirmed COVID-19 Cases per 1000 Residents and Total Resident COVID-19 Deaths per 1000 Residents. These metrics provide a misleading picture, as facilities report cumulative counts of cases and deaths over different time periods but use a point-in-time measure as proxy for number of residents (number of occupied beds in a week), resulting in inflated statistics. We propose an alternative statistic to better illustrate the burden of COVID-19 cases and deaths across nursing facilities. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Using the CMS Nursing Home Compare and COVID-19 Nursing Home Datasets, we examined facilities with star ratings and COVID-19 data passing quality assurance checks for each reporting period from May 31 to August 16, 2020 (n = 11,115). METHODS: We derived an alternative measure of the number of COVID-19 cases per 1000 residents using the net change in weekly census. For each measure, we compared predicted number of cases/deaths by overall star rating using negative binomial regression with constant dispersion, controlling for county-level cases per capita and nursing home characteristics. RESULTS: The average number of cases per 1000 estimated residents using our method is lower compared with the metric using occupied beds as proxy for number of residents (44.8 compared with 66.6). We find similar results when examining number of COVID-19 deaths per 1000 residents. CONCLUSIONS AND IMPLICATIONS: Future research should estimate the number of residents served in nursing facilities when comparing COVID-19 cases/deaths in nursing facilities. Identifying appropriate metrics for facility-level comparisons is critical to protecting nursing home residents as the pandemic continues. |
format | Online Article Text |
id | pubmed-7945871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79458712021-03-11 The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes Miller, Katherine E.M. Gorges, Rebecca J. Konetzka, R. Tamara Van Houtven, Courtney H. J Am Med Dir Assoc Brief Report OBJECTIVES: In the United States, nursing facility residents comprise fewer than 1% of the population but more than 40% of deaths due to Coronavirus Disease 2019 (COVID-19). Mitigating the enormous risk of COVID-19 to nursing home residents requires adequate data. The widely used Centers for Medicare & Medicaid Services (CMS) COVID-19 Nursing Home Dataset contains 2 derived statistics: Total Resident Confirmed COVID-19 Cases per 1000 Residents and Total Resident COVID-19 Deaths per 1000 Residents. These metrics provide a misleading picture, as facilities report cumulative counts of cases and deaths over different time periods but use a point-in-time measure as proxy for number of residents (number of occupied beds in a week), resulting in inflated statistics. We propose an alternative statistic to better illustrate the burden of COVID-19 cases and deaths across nursing facilities. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Using the CMS Nursing Home Compare and COVID-19 Nursing Home Datasets, we examined facilities with star ratings and COVID-19 data passing quality assurance checks for each reporting period from May 31 to August 16, 2020 (n = 11,115). METHODS: We derived an alternative measure of the number of COVID-19 cases per 1000 residents using the net change in weekly census. For each measure, we compared predicted number of cases/deaths by overall star rating using negative binomial regression with constant dispersion, controlling for county-level cases per capita and nursing home characteristics. RESULTS: The average number of cases per 1000 estimated residents using our method is lower compared with the metric using occupied beds as proxy for number of residents (44.8 compared with 66.6). We find similar results when examining number of COVID-19 deaths per 1000 residents. CONCLUSIONS AND IMPLICATIONS: Future research should estimate the number of residents served in nursing facilities when comparing COVID-19 cases/deaths in nursing facilities. Identifying appropriate metrics for facility-level comparisons is critical to protecting nursing home residents as the pandemic continues. Elsevier 2021-05 2021-03-10 /pmc/articles/PMC7945871/ /pubmed/33812840 http://dx.doi.org/10.1016/j.jamda.2021.03.001 Text en 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 Miller, Katherine E.M. Gorges, Rebecca J. Konetzka, R. Tamara Van Houtven, Courtney H. The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes |
title | The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes |
title_full | The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes |
title_fullStr | The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes |
title_full_unstemmed | The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes |
title_short | The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes |
title_sort | metrics matter: improving comparisons of covid-19 outbreaks in nursing homes |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945871/ https://www.ncbi.nlm.nih.gov/pubmed/33812840 http://dx.doi.org/10.1016/j.jamda.2021.03.001 |
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