Evidence map›Paper›PMID 42321619›Full record

ArticleBMC medical research methodology2026

Triage effectiveness: a framework for quantifying the effect of emergency triage prioritization.

André Johansson, Viktoria Fodor, Jakob Lundager Forberg, Anna Ekwall, Ulf Ekelund

Abstract read
In one paragraph

Article in BMC medical research methodology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

André JohanssonDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden. andre.johansson@med.lu.se.ORCID http://orcid.org/0000-0002-3500-4832
Viktoria FodorKTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden.
Jakob Lundager ForbergDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Anna EkwallDepartment of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Ulf EkelundDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency departments use triage to identify time-critical patients and reduce waiting times by assigning higher priority. However, no existing method directly measures this core clinical function. We developed and validated Triage Effectiveness (TE) as a framework for quantifying how well triage systems reduce waiting times for time-critical patients.

methodsUsing data from 463,209 visits across eight emergency departments, we developed TE as a scale where 0% equals a first-come-first-serve strategy (no triage) and 100% equals perfect prioritization. The framework includes two complementary measures: 1. Waiting Time-based TE (WTE) measuring actual waiting time reduction, where 100% represents zero waiting time, and 2. Rank-based TE (RTE) measuring queue position improvement where 100% represents placement first in queue. Both can be calculated as theoretical TE (based only on priorities) and observed TE (actual clinical performance). We validated WTE and RTE calculations using analytical queueing models adapted for classification uncertainty and assessed transferability across hospitals.

resultsQueueing theory validation showed strong alignment with both WTE and RTE calculations, with RTE demonstrating greater robustness and less sensitivity to ED utilization patterns. TE increased with accuracy and produced negative values when triage performance was worse than chance. When applying the framework we found substantial gaps between theoretical and observed TE across all emergency departments, indicating significant post triage reprioritization.

conclusionsThe TE framework provides the first method for directly measuring the effectiveness of triage while utilizing full ordinal priority information. TE can assess the effectiveness of initial triage and the impact of post-triage re-prioritization.

Indexed as

Emergency Service, HospitalTriageEmergency Room VisitsHumansTime FactorsWaiting ListsEmergency CarePatient PrioritizationPerformance MetricsPriority QueuesPriority TriageQuality IndicatorsQueueing TheoryTriage EffectivenessWaiting Time Analysis

Identifiers

PMID42321619
PMCPMC13282852

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LicenceCC BY
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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.