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Variations in long-term care home resident hospitalizations before and during the COVID-19 pandemic in Ontario.
Jones, Aaron; Mowbray, Fabrice I; Falk, Lindsey; Stall, Nathan M; Brown, Kevin A; Malikov, Kamil; Malecki, Sarah L; Lail, Sharan; Jung, Hae Young; Costa, Andrew P; Verma, Amol A; Razak, Fahad.
  • Jones A; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
  • Mowbray FI; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
  • Falk L; Michael G. DeGroote School of Medicine, Hamilton, Ontario, Canada.
  • Stall NM; Division of General Internal Medicine and Geriatrics, University Health Network and Sinai Health System, Toronto, Ontario, Canada.
  • Brown KA; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Malikov K; Women's College Hospital Research Institute, Toronto, Ontario, Canada.
  • Malecki SL; Public Health Ontario, Toronto, Ontario, Canada.
  • Lail S; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Jung HY; Health Data Science Branch, Capacity Planning and Analytics Divisions, Ontario Ministry of Health, Toronto, ON, Canada.
  • Costa AP; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Verma AA; St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
  • Razak F; St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
PLoS One ; 17(11): e0264240, 2022.
Article in English | MEDLINE | ID: covidwho-2109283
ABSTRACT

OBJECTIVES:

To examine how the COVID-19 pandemic affected the demographic and clinical characteristics, in-hospital care, and outcomes of long-term care residents admitted to general medicine wards for non-COVID-19 reasons.

METHODS:

We conducted a retrospective cohort study of long-term care residents admitted to general medicine wards, for reasons other than COVID-19, in four hospitals in Toronto, Ontario between January 1, 2018 and December 31, 2020. We used an autoregressive linear model to estimate the change in monthly admission volumes during the pandemic period (March-December 2020) compared to the previous two years, adjusting for any secular trend. We summarized and compared differences in the demographics, comorbidities, interventions, diagnoses, imaging, psychoactive medications, and outcomes of residents before and during the pandemic.

RESULTS:

Our study included 2,654 long-term care residents who were hospitalized for non-COVID-19 reasons between January 2018 and December 2020. The crude rate of hospitalizations was 79.3 per month between March-December of 2018-2019 and 56.5 per month between March-December of 2020. The was an adjusted absolute difference of 27.0 (95% CI 10.0, 43.9) fewer hospital admissions during the pandemic period, corresponding to a relative drop of 34%. Residents admitted during the pandemic period had similar demographics and clinical characteristics but were more likely to be admitted for delirium (pandemic 7% pre-pandemic 5%, p = 0.01) and were less likely to be admitted for pneumonia (pandemic 3% pre-pandemic 6%, p = 0.004). Residents admitted during the pandemic were more likely to be prescribed antipsychotics (pandemic 37%, pre-pandemic 29%, p <0.001) and more likely to die in-hospital (pandemic14% pre-pandemic 10%, p = 0.04). CONCLUSIONS AND IMPLICATIONS Better integration between long-term care and hospitals systems, including programs to deliver urgent medical care services within long-term care homes, is needed to ensure that long-term care residents maintain equitable access to acute care during current and future public health emergencies.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Long-Term Care / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0264240

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Long-Term Care / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0264240