Evidence map›Paper›PMID 29538401›Full record

ArticlePloS one2018

Impact of the Four-Hour Rule in Western Australian hospitals: Trend analysis of a large record linkage study 2002-2013.

Hanh Ngo, Roberto Forero, David Mountain, Daniel Fatovich, Wing Nicola Man, Peter Sprivulis, Mohammed Mohsin, Sam Toloo, Antonio Celenza, Gerard Fitzgerald and 3 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Observational
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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

13 authors.

Hanh NgoEmergency Medicine, University of Western Australia, Nedlands, Perth, WA, Australia.
Roberto ForeroSimpson Centre for Health Services Research, UNSW Australia, SWS Clinical School, Liverpool, Sydney, NSW, Australia.
David MountainEmergency Medicine, University of Western Australia, Nedlands, Perth, WA, Australia.
Daniel FatovichAustralasian College for Emergency Medicine, West Melbourne, Melbourne, VIC, Australia.
Wing Nicola ManSimpson Centre for Health Services Research, UNSW Australia, SWS Clinical School, Liverpool, Sydney, NSW, Australia.
Peter SprivulisEmergency Medicine, University of Western Australia, Nedlands, Perth, WA, Australia.
Mohammed MohsinPsychiatry Research and Teaching Unit, SWSLHD, NSW Health, Liverpool, Sydney, NSW, Australia.
Sam TolooSchool of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Brisbane, QLD, Australia.
Antonio CelenzaEmergency Medicine, University of Western Australia, Nedlands, Perth, WA, Australia.
Gerard FitzgeraldAustralasian College for Emergency Medicine, West Melbourne, Melbourne, VIC, Australia.
Sally McCarthyAustralasian College for Emergency Medicine, West Melbourne, Melbourne, VIC, Australia.
Ken HillmanSimpson Centre for Health Services Research, UNSW Australia, SWS Clinical School, Liverpool, Sydney, NSW, Australia.
Four-Hour Rule Partnership Grant

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2009, the Western Australian (WA) Government introduced the Four-Hour Rule (FHR) program. The policy stated that most patients presenting to Emergency Departments (EDs) were to be seen and either admitted, transferred, or discharged within 4 hours. This study utilised de-identified data from five participating hospitals, before and after FHR implementation, to assess the impact of the FHR on several areas of ED functioning.

methodsA state (WA) population-based intervention study design, using longitudinal data obtained from administrative health databases via record linkage methodology, and interrupted time series analysis technique.

findingsThere were 3,214,802 ED presentations, corresponding to 1,203,513 ED patients. After the FHR implementation, access block for patients admitted through ED for all five sites showed a significant reduction of up to 13.2% (Rate Ratio 0.868, 95%CI 0.814, 0.925) per quarter. Rate of ED attendances for most hospitals continued to rise throughout the entire study period and were unaffected by the FHR, except for one hospital. Pattern of change in ED re-attendance rate post-FHR was similar to pre-FHR, but the trend reduced for two hospitals. ED occupancy was reduced by 6.2% per quarter post-FHR for the most 'crowded' ED. ED length of stay and ED efficiency improved in four hospitals and deteriorated in one hospital. Time to being seen by ED clinician and Did-Not-Wait rate improved for some hospitals. Admission rates in post-FHR increased, by up to 1% per quarter, for two hospitals where the pre-FHR trend was decreasing.

conclusionsThe FHR had a consistent effect on 'flow' measures: significantly reducing ED overcrowding and access block and enhancing ED efficiency. Time-based outcome measures mostly improved with the FHR. There is some evidence of increased ED attendance, but no evidence of increased ED re-attendance. Effects on patient disposition status were mixed. Overall, this reflects the value of investing resources into the ED/hospital system to improve efficiency and patient experience. Further research is required to illuminate the exact mechanisms of the effects of FHR on the ED and hospital functioning across Australia.

Indexed as

AustraliaCrowdingDatabases, FactualEmergency Service, HospitalFemaleHospitalizationHospitalsHumansInformation Storage and RetrievalInterrupted Time Series AnalysisLength of StayMalePatient AdmissionPatient DischargeTime Factors

Identifiers

PMID29538401
PMCPMC5851625

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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.