Evidence map›Paper›PMID 37907324›Full record

ArticleEmergency medicine journal : EMJ2023

What impact would reducing low-acuity attendance have on emergency department length of stay? A discrete event simulation modelling study.

Hazel Squires, Suzanne Mason, Colin O'Keeffe, Susan Croft, George Millington

Open access · hybridAbstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Evaluation of the performance of telephone triage service.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Key performance indicators in emergency department simulation: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
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

5 authors at 2 institutions in 1 country.

Hazel SquiresSheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK h.squires@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-2776-4014
Suzanne MasonSheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-1701-0577
Colin O'KeeffeSheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-4484-7401
Susan CroftSheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK.
George MillingtonNational Institute for Health and Care Excellence, London, UK.
University of Sheffield · GBNational Institute for Health and Care Excellence · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong waiting times in the ED have been shown to cause negative outcomes for patients. This study aims to assess the effect in reducing length of stay of (1) preventing low-acuity attenders from attending the ED and (2) diverting low-acuity attenders at triage to a colocated general practice (GP) service.

methodsDiscrete event simulation was used to model a large urban teaching hospital in the UK, as a case study, with a colocated GP service. The Centre for Urgent and Emergency Care research database patient-level database (May 2015-April 2016), secondary literature and expert elicitation were used to inform the model. The model predicted length of stay, the percentage of patients being seen within 4 hours and the incremental cost-effectiveness of the colocated GP service.

resultsThe model predicted that diverting low-acuity patients to a colocated GP open 9:00 to 17:00 reduces the average time in the system for higher acuity attenders by 29 min at an estimated additional cost of £6.76 per patient on average. The percentage of higher acuity patients being seen within 4 hours increased from 61% to 67% due to the reduction in the length of stay of those who were in the ED for the longest time. However, the model is sensitive to changes in model inputs and there is uncertainty around ED activity durations, for which further primary data collection would be useful.

conclusionReducing the proportion of low-acuity attenders at the ED could have an impact on the time in the ED for higher acuity patients due to their use of shared resources, but is insufficient alone to meet current targets. The simulation model could be adapted for further analyses to understand which other changes would be needed to meet current government targets.

Indexed as

Emergency Medical ServicesEmergency Service, HospitalComputer SimulationHumansLength of StayTriageComputer Simulation'Emergency ServiceLength of Stay'

Identifiers

PMID37907324
PMCPMC10804000
OpenAlexW4388041508

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.