Author: Ibrahim, Joseph E.; Li, Yingtong; McKee, Grace; Eren, Hagar; Brown, Charlotte; Aitken, Georgia; Pham, Tony
Title: Characteristics of nursing homes associated with COVIDâ€19 outbreaks and mortality among residents in Victoria, Australia Cord-id: nl1ud0l4 Document date: 2021_7_19
ID: nl1ud0l4
Snippet: OBJECTIVE: To determine nursing home characteristics associated with COVIDâ€19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. METHOD: Populationâ€based crossâ€sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. RESULTS: There were one or more resident cases of COVIDâ€19 in 9.7% of nursing homes (74/766). COVIDâ€19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past
Document: OBJECTIVE: To determine nursing home characteristics associated with COVIDâ€19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. METHOD: Populationâ€based crossâ€sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. RESULTS: There were one or more resident cases of COVIDâ€19 in 9.7% of nursing homes (74/766). COVIDâ€19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past history of regulatory nonâ€compliance, located close to highâ€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 caseâ€fatality rates were observed in homes owned by notâ€forâ€profit providers operating many facilities, located close to highâ€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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