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.

CMAJ open Pub Date : 2023-07-12 Print Date: 2023-07-01 DOI:10.9778/cmajo.20220086
Sara J T Guilcher, Yu Qing Bai, Walter P Wodchis, Susan E Bronskill, Kerry Kuluski
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Abstract

Background: Many 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.

Methods: We 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.

Results: We 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% (n = 3558) in March 2020 but then rebounded to their peak of 5.8% (n = 3915). There was no significant change in the average level of ALC rates per month after the onset of the pandemic (increase of 0.36% average per month, 95% confidence interval [CI] -0.11% to 0.83%) or monthly rate of change (slope) after the onset of the pandemic (-0.08%, 95% CI -0.15 to 0).

Interpretation: We 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.

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一项中断的时间序列研究使用行政健康数据来检查新冠肺炎大流行对加拿大安大略省替代护理水平急性住院的影响。
背景:许多卫生系统都在与延迟出院作斗争(在加拿大被称为替代护理水平[ALC])。我们的目标是通过ALC状态描述和比较患者和住院特征,并检查新冠肺炎大流行初期对加拿大安大略省ALC发病率的影响。方法:我们使用2018年2月28日至2020年11月30日期间安大略省急性护理医院出院的相关行政数据进行了中断时间序列。我们测量了新冠肺炎大流行开始前后(2020年3月1日)出院者的每月ALC率。我们使用中断时间序列回归来检验新冠疫情爆发与ALC月平均发病率之间的相关性。结果:我们发现,无论何时,患者和入院特征都没有显著差异;然而,ALC状态可识别差异。新冠肺炎大流行前,ALC的总体月平均出院率为4.9%,大流行开始后为5.0%。2020年3月,这些出院率降至4.3%(n=3558),但随后回升至峰值5.8%(n=3915)。新冠疫情爆发后每月ALC发病率的平均水平(平均每月增加0.36%,95%置信区间[CI]-0.11%至0.83%)或新冠疫情暴发后的月变化率(斜率)(-0.08%,95%CI-0.15至0)没有显著变化新冠肺炎大流行期间,医院为减少医院入住率做出了巨大努力。未来的研究应该研究为什么尽管医院做出了努力,ALC发病率仍然很高。
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