Evidence map›Paper›PMID 37437954›Full record

ArticleCMAJ open

An interrupted time series study using administrative health data to examine the impact of the COVID-19 pandemic on alternate care level acute hospitalizations in Ontario, Canada.

Sara J T Guilcher, Yu Qing Bai, Walter P Wodchis, Susan E Bronskill, Kerry Kuluski

Abstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sara J T GuilcherLeslie Dan Faculty of Pharmacy (Guilcher), University of Toronto; ICES UofT (Guilcher, Bai, Wodchis); ICES Central (Bronskill); Institute of Health Policy, Management and Evaluation (Guilcher, Bai, Wodchis, Bronskill, Kuluski), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis, Kuluski), Trillium Health Partners, Mississauga, Ont. sara.guilcher@utoronto.ca.
Yu Qing BaiLeslie Dan Faculty of Pharmacy (Guilcher), University of Toronto; ICES UofT (Guilcher, Bai, Wodchis); ICES Central (Bronskill); Institute of Health Policy, Management and Evaluation (Guilcher, Bai, Wodchis, Bronskill, Kuluski), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis, Kuluski), Trillium Health Partners, Mississauga, Ont.
Walter P WodchisLeslie Dan Faculty of Pharmacy (Guilcher), University of Toronto; ICES UofT (Guilcher, Bai, Wodchis); ICES Central (Bronskill); Institute of Health Policy, Management and Evaluation (Guilcher, Bai, Wodchis, Bronskill, Kuluski), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis, Kuluski), Trillium Health Partners, Mississauga, Ont.
Susan E BronskillLeslie Dan Faculty of Pharmacy (Guilcher), University of Toronto; ICES UofT (Guilcher, Bai, Wodchis); ICES Central (Bronskill); Institute of Health Policy, Management and Evaluation (Guilcher, Bai, Wodchis, Bronskill, Kuluski), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis, Kuluski), Trillium Health Partners, Mississauga, Ont.
Kerry KuluskiLeslie Dan Faculty of Pharmacy (Guilcher), University of Toronto; ICES UofT (Guilcher, Bai, Wodchis); ICES Central (Bronskill); Institute of Health Policy, Management and Evaluation (Guilcher, Bai, Wodchis, Bronskill, Kuluski), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis, Kuluski), Trillium Health Partners, Mississauga, Ont.

Funding

CIHR 165593
6 · The paper itself

Abstract

backgroundMany health systems struggle with delayed discharges (known as alternate level of care [ALC] in Canada). Our objectives were to describe and compare patient and hospitalization characteristics by ALC status, and to examine the impact of the initial period of the COVID-19 pandemic on ALC rates in Ontario, Canada.

methodsWe conducted an interrupted time series using linked administrative data for acute care hospital discharges in Ontario between Feb. 28, 2018, and Nov. 30, 2020. We measured the monthly ALC rate among discharges before and after the onset of the COVID-19 pandemic (Mar. 1, 2020). We used interrupted time series regressions to examine the association between the onset of the pandemic and average ALC monthly rates.

resultsWe identified no meaningful differences in patient and admission characteristics, irrespective of time; however, differences were identified by ALC status. The overall average monthly rate of ALC discharges before the COVID-19 pandemic was 4.9% and after the onset of the pandemic was 5.0%. These discharges dropped to 4.3% (

interpretationWe identified a continued high rate of hospital discharges with an ALC component despite the considerable efforts in hospital to reduce hospital occupancy during the COVID-19 pandemic. Future research should examine why ALC rates remain high despite hospital efforts.

Indexed as

COVID-19PandemicsHospitalizationHumansInterrupted Time Series AnalysisOntario

Identifiers

PMID37437954
PMCPMC10356004

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.