Characteristics of nursing homes associated with COVID-19 outbreaks and mortality among residents in Victoria, Australia

Joseph E. Ibrahim; Yingtong Li; Grace McKee; Hagar Eren; Charlotte Brown; Georgia Aitken; Tony Pham

doi:10.1111/ajag.12982

Characteristics of nursing homes associated with COVID-19 outbreaks and mortality among residents in Victoria, Australia

Joseph E. Ibrahim, Yingtong Li, Grace McKee, Hagar Eren, Charlotte Brown, Georgia Aitken, Tony Pham

Research output: Contribution to journal › Article › Research › peer-review

27 Citations (Scopus)

Abstract

Objective: To determine nursing home characteristics associated with COVID-19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. Method: Population-based cross-sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. Results: There were one or more resident cases of COVID-19 in 9.7% of nursing homes (74/766). COVID-19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past history of regulatory non-compliance, located close to high-risk industry. Larger outbreaks were associated with homes in metropolitan areas, accommodating 91 or more residents, with shared rooms, owned by private providers operating many (11 or more) facilities. The highest case-fatality rates were observed in homes owned by not-for-profit providers operating many facilities, located close to high-risk industry. Conclusion: Stratifying nursing homes according to characteristics associated with morbidity and mortality can inform risk management, prioritising emergency responses and optimising future nursing home operations.

Original language	English
Pages (from-to)	283-292
Number of pages	10
Journal	Australasian Journal on Ageing
Volume	40
Issue number	3
DOIs	https://doi.org/10.1111/ajag.12982
Publication status	Published - Sept 2021

Keywords

COVID-19
disease outbreak
mortality
nursing homes

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10.1111/ajag.12982

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title = "Characteristics of nursing homes associated with COVID-19 outbreaks and mortality among residents in Victoria, Australia",

abstract = "Objective: To determine nursing home characteristics associated with COVID-19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. Method: Population-based cross-sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. Results: There were one or more resident cases of COVID-19 in 9.7% of nursing homes (74/766). COVID-19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past history of regulatory non-compliance, located close to high-risk industry. Larger outbreaks were associated with homes in metropolitan areas, accommodating 91 or more residents, with shared rooms, owned by private providers operating many (11 or more) facilities. The highest case-fatality rates were observed in homes owned by not-for-profit providers operating many facilities, located close to high-risk industry. Conclusion: Stratifying nursing homes according to characteristics associated with morbidity and mortality can inform risk management, prioritising emergency responses and optimising future nursing home operations.",

keywords = "COVID-19, disease outbreak, mortality, nursing homes",

author = "Ibrahim, {Joseph E.} and Yingtong Li and Grace McKee and Hagar Eren and Charlotte Brown and Georgia Aitken and Tony Pham",

note = "Funding Information: This work was supported by the Department of Forensic Medicine, Monash University. None of the funders influenced the design, methods, subject recruitment, data collection, analysis or preparation of the paper Publisher Copyright: {\textcopyright} 2021 AJA Inc. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2021",

month = sep,

doi = "10.1111/ajag.12982",

language = "English",

volume = "40",

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AU - Li, Yingtong

AU - McKee, Grace

AU - Eren, Hagar

AU - Brown, Charlotte

AU - Aitken, Georgia

AU - Pham, Tony

N1 - Funding Information: This work was supported by the Department of Forensic Medicine, Monash University. None of the funders influenced the design, methods, subject recruitment, data collection, analysis or preparation of the paper Publisher Copyright: © 2021 AJA Inc. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/9

Y1 - 2021/9

N2 - Objective: To determine nursing home characteristics associated with COVID-19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. Method: Population-based cross-sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. Results: There were one or more resident cases of COVID-19 in 9.7% of nursing homes (74/766). COVID-19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past history of regulatory non-compliance, located close to high-risk industry. Larger outbreaks were associated with homes in metropolitan areas, accommodating 91 or more residents, with shared rooms, owned by private providers operating many (11 or more) facilities. The highest case-fatality rates were observed in homes owned by not-for-profit providers operating many facilities, located close to high-risk industry. Conclusion: Stratifying nursing homes according to characteristics associated with morbidity and mortality can inform risk management, prioritising emergency responses and optimising future nursing home operations.

AB - Objective: To determine nursing home characteristics associated with COVID-19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. Method: Population-based cross-sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. Results: There were one or more resident cases of COVID-19 in 9.7% of nursing homes (74/766). COVID-19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past history of regulatory non-compliance, located close to high-risk industry. Larger outbreaks were associated with homes in metropolitan areas, accommodating 91 or more residents, with shared rooms, owned by private providers operating many (11 or more) facilities. The highest case-fatality rates were observed in homes owned by not-for-profit providers operating many facilities, located close to high-risk industry. Conclusion: Stratifying nursing homes according to characteristics associated with morbidity and mortality can inform risk management, prioritising emergency responses and optimising future nursing home operations.

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Characteristics of nursing homes associated with COVID-19 outbreaks and mortality among residents in Victoria, Australia

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