Evidence map›Paper›PMID 40596272›Full record

ArticleScientific reports2025

Development and usability evaluation of a mHealth application for prehospital triage.

Elham Asadiara, Hassan Emami, Mehdi Safari, Reza Rabiei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Elham AsadiaraDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hassan EmamiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. haemami@sbmu.ac.ir.
Mehdi SafariDepartment of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza RabieiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. R.Rabiei@sbmu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed and evaluated a mobile health (mHealth) application for prehospital triage. The effective triage of undifferentiated patients is crucial for appropriate prehospital care and mHealth applications offer potential support by classifying patient conditions prior to hospital arrival. This two-stage applied study, conducted in 2023, began with determining functional requirements through a literature review and a questionnaire-based survey, informed by existing guidelines. A conceptual model was then developed using Microsoft Visio 2021. The application then was developed using Android Studio in Java and Kotlin languages. In the second stage, the application's usability was evaluated by involving 32 paramedics and EMT technicians through using the Mobile Application Usability Questionnaire (MAUQ). Key application features included comprehensive information forms, triage level calculation based on the Revised Trauma Score (RTS), hospital navigation, and structured case report generation. Ease of use received the highest score (4.35 ± 0.47), while interface and satisfaction obtained the lowest scored (3.84 ± 0.79). Overall user satisfaction was high (4.12 ± 0.59; Max: 5.00). Results suggest that this mHealth application can effectively support prehospital care by addressing user needs and providing essential functionalities.

Indexed as

Emergency Medical ServicesMobile ApplicationsTelemedicineTriageAdultFemaleHumansMaleSurveys and QuestionnairesEmergency careMedical emergency servicemHealthPrehospital triageUsability testing

Identifiers

PMID40596272
PMCPMC12216354

What OpenQuestion 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 OpenQuestion graph.