Evidence map›Paper›PMID 41755541›Full record

ArticleThe Medical journal of Australia2026

The Impact of Hospital Bed Occupancy on Patient Flow and Emergency Department Access: A 25-Hospital Cohort Study.

Vahid Riahi, Justin Boyle, Hwan-Jin Yoon, Hamed Hassanzadeh, Ibrahima Diouf, Sankalp Khanna, Andrew Staib, Mahnaz Samadbeik, Clair Sullivan, Emma Bosley and 1 more

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Vahid RiahiCSIRO Australian e-Health Research Centre, Melbourne, Victoria, Australia.ORCID 0000-0001-6050-6423
Justin BoyleCSIRO Australian e-Health Research Centre, Brisbane, Queensland, Australia.
Hwan-Jin YoonCSIRO Australian e-Health Research Centre, Melbourne, Victoria, Australia.ORCID 0000-0003-1772-7911
Hamed HassanzadehCSIRO, Brisbane, Queensland, Australia.ORCID 0000-0003-2315-1963
Ibrahima DioufCSIRO Australian e-Health Research Centre, Melbourne, Victoria, Australia.
Sankalp KhannaCSIRO Australian e-Health Research Centre, Brisbane, Queensland, Australia.
Andrew StaibPrincess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Mahnaz SamadbeikQueensland Digital Health Centre, University of Queensland, Brisbane, Queensland, Australia.
Clair SullivanPrincess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Emma BosleyQueensland Ambulance Service, Brisbane, Queensland, Australia.
James F LindGold Coast University Hospital, Gold Coast, Queensland, Australia.

Funding

Emergency Medicine FoundationQueensland Ambulance ServiceQueensland Health
6 · The paper itself

Abstract

objectivesTo evaluate the effect of hospital occupancy levels on inpatient and emergency department (ED) flow rates, ED length of stay (ED) and access block, and identify critical occupancy thresholds above which patient flow deteriorates.

designRetrospective cohort study using routinely collected administrative data.

settingTwenty-five public hospitals in Queensland, Australia, over a 5.5-year period (1 April 2017 to 31 August 2022).

main outcome measuresED presentation and discharge rates, inpatient admission and discharge rates, hospital occupancy levels, length of stay, access block and 4-h rule compliance.

resultsThe analysis reveals a significant performance shift as hospital occupancy levels increase and identifies site-specific critical 'choke points' where patient flow deteriorates. Notably, as occupancy rises, we observed a growing divergence between ED presentations and discharge rates, and between inpatient admissions and discharges, indicating system congestion. Additionally, when assessing flow across the 25 hospitals, the data demonstrates that a 10% increase in bed occupancy rate correlates with a 0.32-h (19-min) extension in ED length of stay (or 33 min for patients admitted from the ED). Also, significant disparities in hospital operations were observed between weekends and weekdays, with weekday admissions and discharges up to three times higher than weekends, highlighting the increased operational pressure during the work week.

conclusionsThe investigation challenges the traditional 85% occupancy target, demonstrating that optimal occupancy levels vary by hospital. The study also underscores the strong correlation between hospital bed occupancy and ED access performance, with higher hospital occupancy correlating with longer ED stays and decreased adherence to performance indicators. As hospitals approach full capacity, the pressure on ED resources intensifies, resulting in longer wait times and delays in care.

Indexed as

Bed OccupancyEmergency Service, HospitalHealth Services AccessibilityEmergency Room VisitsHospitals, PublicHumansLength of StayPatient AdmissionPatient DischargeQueenslandRetrospective Studiesdelivery of healthcareemergency medical servicesemergency medicineevidence‐based medicinehealth policyhealth services researchhealth systemshospitals

Identifiers

PMID41755541
PMCPMC12946772

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.