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    Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes.

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    Author
    Mattingly, T Joseph
    Trinkoff, Alison
    Lydecker, Alison D
    Kim, Justin J
    Yoon, Jung Min
    Roghmann, Mary-Claire
    Date
    2021-12-09
    Journal
    Gerontology & Geriatric Medicine
    Publisher
    SAGE Publications Inc.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1177/23337214211063103
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762488/
    Abstract
    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.
    Rights/Terms
    © The Author(s) 2021.
    Keyword
    COVID-19
    epidemiology
    nursing homes
    short-stay admissions
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/17742
    ae974a485f413a2113503eed53cd6c53
    10.1177/23337214211063103
    Scopus Count
    Collections
    UMB Coronavirus Publications
    UMB Open Access Articles

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