Declining Ambulance Offload Delays and Stabilised Emergency Department Length of Stay Post-COVID: An Interrupted Time Series Analysis

Objective: Ambulance offload delays and emergency department [ED] crowding worsened during COVID-19 and remain critical in Victoria, where <62 % of ambulances offload on time. Evidence on post-pandemic trends is limited. We analysed offload delays and ED length of stay [LOS] at a major Melbourne health service [Jan 2018-Aug 2024] across three periods: pre-COVID, during COVID and post-COVID, stratified by admission status. Methods: Monthly median offload times and ED LOS were examined using interrupted time-series models to detect level and slope changes. Results: Among 529 261 presentations, median offload times for non-admitted patients increased 12.7 min at the post-COVID transition then fell 0.62 min per month, ending below pre-COVID projections. Admitted patients showed a median 14.2 min increase and a 0.73 min per month decline. ED LOS median time rose post-COVID by 53.6 min for non-admitted and 124.8 min for admitted patients. Thereafter, non-admitted patient LOS declined, whereas admitted patient LOS remained persistently elevated and stabilised at a high level. Conclusions: Although ambulance offload delays have improved, now below pre-COVID counterfactual levels, emergency department length of stay remains elevated particularly for admitted patients. Targeted interventions such as dedicated offload staff, real-time bed management, and streamlined discharge pathways are needed to address persistent emergency department crowding.

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Publication Details

Journal
Clinical and Experimental Emergency Medicine
Published
2026-04-03
DOI
https://doi.org/10.15441/ceem.25.240
Primary Topic
Emergency and Acute Care Studies
Type
article
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article

Declining Ambulance Offload Delays and Stabilised Emergency Department Length of Stay Post-COVID: An Interrupted Time Series Analysis

Brendan Shannon, Clifford J. Connell, Nadine E. Andrew, Cameron Gosling et al.
Clinical and Experimental Emergency Medicine
Emergency and Acute Care Studies
article

Declining Ambulance Offload Delays and Stabilised Emergency Department Length of Stay Post-COVID: An Interrupted Time Series Analysis

Brendan Shannon, Clifford J. Connell, Nadine E. Andrew, Cameron Gosling, Gabriel Blecher, Liam Hemingway, Edward Stacey
article en

Abstract

Objective: Ambulance offload delays and emergency department [ED] crowding worsened during COVID-19 and remain critical in Victoria, where <62 % of ambulances offload on time. Evidence on post-pandemic trends is limited. We analysed offload delays and ED length of stay [LOS] at a major Melbourne health service [Jan 2018-Aug 2024] across three periods: pre-COVID, during COVID and post-COVID, stratified by admission status. Methods: Monthly median offload times and ED LOS were examined using interrupted time-series models to detect level and slope changes. Results: Among 529 261 presentations, median offload times for non-admitted patients increased 12.7 min at the post-COVID transition then fell 0.62 min per month, ending below pre-COVID projections. Admitted patients showed a median 14.2 min increase and a 0.73 min per month decline. ED LOS median time rose post-COVID by 53.6 min for non-admitted and 124.8 min for admitted patients. Thereafter, non-admitted patient LOS declined, whereas admitted patient LOS remained persistently elevated and stabilised at a high level. Conclusions: Although ambulance offload delays have improved, now below pre-COVID counterfactual levels, emergency department length of stay remains elevated particularly for admitted patients. Targeted interventions such as dedicated offload staff, real-time bed management, and streamlined discharge pathways are needed to address persistent emergency department crowding.

Clinical and Experimental Emergency Medicine
Peninsula Health (AU), Monash Health (AU), Monash University (AU)
Openalex Percentile: Top 25%
Emergency and Acute Care Studies
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Declining Ambulance Offload Delays and Stabilised Emergency Department Length of Stay Post-COVID: An Interrupted Time Series Analysis — Brendan Shannon, Clifford J. Connell, et al. · Clinical and Experimental Emergency Medicine (2026) | TGRS Research Map | TGRS