Asadiara Elham, Emami Hassan, Safari Mehdi, Rabiei Reza
Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sci Rep. 2025 Jul 1;15(1):21576. doi: 10.1038/s41598-025-06952-4.
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.
本研究开发并评估了一款用于院前分诊的移动健康(mHealth)应用程序。对未分化患者进行有效的分诊对于适当的院前护理至关重要,而移动健康应用程序通过在患者入院前对病情进行分类提供了潜在支持。这项两阶段的应用研究于2023年进行,首先通过文献综述和基于问卷的调查确定功能需求,这些调查以现有指南为依据。然后使用Microsoft Visio 2021开发了一个概念模型。接着使用Java和Kotlin语言在Android Studio中开发该应用程序。在第二阶段,通过让32名护理人员和急救医疗技术员使用移动应用程序可用性问卷(MAUQ)对该应用程序的可用性进行了评估。该应用程序的关键功能包括综合信息表单、基于修订创伤评分(RTS)的分诊级别计算、医院导航以及结构化病例报告生成。易用性得分最高(4.35±0.47),而界面和满意度得分最低(3.84±0.79)。总体用户满意度较高(4.12±0.59;满分5.00)。结果表明,这款移动健康应用程序可以通过满足用户需求并提供基本功能来有效支持院前护理。