Evidence map›Paper›PMID 42900912›Full record

Trial reportThe western journal of emergency medicine2026

Impact of a Decision-Support Interface on Mental Workload and Stress in Prehospital Stroke Triage: A Randomized Crossover Trial.

Yu-Chi Lu, Sung-Chun Tang, Li-Kai Tsai, Jiann-Shing Jeng, Yu-Ching Lee, Ming-Ju Hsieh

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The western journal of emergency medicine, 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

6 authors.

Yu-Chi LuNational Tsing Hua University, Department of Industrial Engineering and Engineering Management, Hsinchu, Taiwan.
Sung-Chun TangNational Taiwan University Hospital, Stroke Center and Department of Neurology, Taipei, Taiwan.
Li-Kai TsaiNational Taiwan University Hospital, Stroke Center and Department of Neurology, Taipei, Taiwan.
Jiann-Shing JengNational Taiwan University Hospital, Stroke Center and Department of Neurology, Taipei, Taiwan.
Yu-Ching LeeNational Tsing Hua University, Department of Industrial Engineering and Engineering Management, Hsinchu, Taiwan.
Ming-Ju HsiehNational Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrehospital triage challenges often lead to suboptimal choices and delayed treatment for stroke patients. The objective of the study was to evaluate whether a decision-support interface to assist in stroke triage to an appropriate hospital could reduce emergency medical technicians' (EMT) mental workload.

methodsThis randomized crossover study was conducted between February and March 2025. Each participant completed two 12-minute simulated trials in randomized order: current dispatch orders without decision support and a decision-support interface. We assessed mental workload-the mental effort required to make hospital transport decisions under time pressure during prehospital stroke triage-using heart rate variability (HRV) metrics and the National Aeronautics and Space Administration Task Load Index (NASA-TLX). System usability was assessed using the System Usability Scale. The primary outcome was the root mean square of successive differences for each participant after completing the two trials. The secondary outcomes included the differences of NASA-TLX, System Usability Scale, and other heart rate variability parameters, including mean R-R interval (meanRR), mean heart rate, percentage of successive R-R intervals that differ by more than 50 milliseconds, low-frequency power (LF), high-frequency (HF) power, and the LF/HF ratio. Subgroup analyses examined differences by sex, education, age, and years of service.

resultsA total of 35 emergency medical technician (EMT)-intermediate participants (mean age, 27.5 [5.3] years) completed the study. For the primary outcome, the root mean square of successive differences increased significantly (28.1 [13.0] vs 32.4 [13.6] milliseconds; mean difference, 4.3 milliseconds [95% CI, 1.57-6.99]; P < .01), indicating reduced mental workload when the participants used the decision-support interface. For the secondary outcomes, mean heart rate (77.5 [8.6] vs 73.8 [10.6], P < .01) decreased, mean R (784.2 [89.5] vs 808.9 [87.3], P < .01) increased, and HF power (370.1 [291.7] versus 482.6 [433.9], P = .02) increased, suggesting reduced mental workload when the participants used the decision-support interface. The mental demand scores in NASA-TLX decreased from 62.5 (14.6) to 35.5 (17.0). Emergency medical technicians with 1.0-1.5 years of service reported higher System Usability Scale scores than those with 1.5-3.0 years (84.4 versus 71.3, P = .02), and 82.9% of participants rated the system as acceptable (System Usability Scale score ≥ 70).

conclusionThis study demonstrated that integrating a web-based decision-support interface effectively reduces mental workload and psychological stress among EMTs in stroke triage.

Indexed as

Emergency Medical ServicesEmergency Medical TechniciansStrokeTriageWorkloadAdultCross-Over StudiesFemaleHeart RateHumansMale

Identifiers

PMID42900912
PMCPMC13660630

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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.