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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Relation between emergency department patient volume at time of patient arrival and likelihood of patient to ‘wait’ for clinical care. A state-wide data linkage analysis from New South Wales, Australia

Michele Fiorentino A B , Michael M. Dinh A B , Radhika Seimon A * and Kendall Bein A B
+ Author Affiliations
- Author Affiliations

A RPA Green Light Institute, Sydney Local Health District, Royal Prince Alfred Hospital, Missenden Road, Sydney, NSW 2050, Australia.

B Emergency Department, Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, NSW 2050, Australia.


Australian Health Review 49, AH24318 https://doi.org/10.1071/AH24318
Submitted: 22 November 2024  Accepted: 31 July 2025  Published: 26 August 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA.

Abstract

Objective

This study aimed to investigate the relationship between emergency department (ED) patient volume at time of presentation and risk of departing before commencing treatment in the ED (did not wait; DNW).

Methods

A retrospective analysis of linked data was conducted using the New South Wales Emergency Department Data Collection for level 5 and level 6 hospitals, between April 2022 and March 2023. ED patient volume was measured at the time of each patient’s presentation and categorised into quintiles by hospital level. Patients who DNW were compared to those who waited, using multivariable logistic regression to identify independent predictors of DNW, such as rising ED patient volumes, age, triage category, and time of presentation.

Results

Out of 1,673,247 ED presentations, 155,425 (9.29%) patients were recorded as DNW. ED patient volume was a significant predictor of increased likelihood of DNW, with those presenting when the ED was at the highest patient volume quintile being 3.5 times more likely not to wait compared to the lowest quintile of patient volume after adjusting for relevant characteristics such as age, triage category, and time of presentation.

Conclusion

ED patient volume was a significant predictor of DNW with a direct dose–response relationship observed further emphasising the effect of ED overcrowding on the quality of care in EDs.

Keywords: crowding, did not wait, emergency department, emergency room, left without being seen, occupancy, overcrowding, patient volume.

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