Evaluation of an App-Based Mobile Triage System for Mass Casualty Incidents: Within-Subjects Experimental Study.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Martin Schmollinger, Jessica Gerstner, Eric Stricker, Alexander Muench, Benjamin Breckwoldt, Manuel Sigle, Peter Rosenberger, Robert Wunderlich
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引用次数: 0

Abstract

Background: Digitalization in disaster medicine holds significant potential to accelerate rescue operations and ultimately save lives. Mass casualty incidents demand rapid and accurate information management to coordinate effective responses. Currently, first responders manually record triage results on patient cards, and brief information is communicated to the command post via radio communication. Although this process is widely used in practice, it involves several time-consuming and error-prone tasks. To address these issues, we designed, implemented, and evaluated an app-based mobile triage system. This system allows users to document responder details, triage categories, injury patterns, GPS locations, and other important information, which can then be transmitted automatically to the incident commanders.

Objective: This study aims to design and evaluate an app-based mobile system as a triage and coordination tool for emergency and disaster medicine, comparing its effectiveness with the conventional paper-based system.

Methods: A total of 38 emergency medicine personnel participated in a within-subject experimental study, completing 2 triage sessions with 30 patient cards each: one session using the app-based mobile system and the other using the paper-based tool. The accuracy of the triages and the time taken for each session were measured. Additionally, we implemented the User Experience Questionnaire along with other items to assess participants' subjective ratings of the 2 triage tools.

Results: Our 2 (triage tool) × 2 (tool order) mixed multivariate analysis of variance revealed a significant main effect for the triage tool (P<.001). Post hoc analyses indicated that participants were significantly faster (P<.001) and more accurate (P=.005) in assigning patients to the correct triage category when using the app-based mobile system compared with the paper-based tool. Additionally, analyses showed significantly better subjective ratings for the app-based mobile system compared with the paper-based tool, in terms of both school grading (P<.001) and across all 6 scales of the User Experience Questionnaire (all P<.001). Of the 38 participants, 36 (95%) preferred the app-based mobile system. There was no significant main effect for tool order (P=.24) or session order (P=.06) in our model.

Conclusions: Our findings demonstrate that the app-based mobile system not only matches the performance of the conventional paper-based tool but may even surpass it in terms of efficiency and usability. This advancement could further enhance the potential of digitalization to optimize processes in disaster medicine, ultimately leading to the possibility of saving more lives.

评估基于应用程序的大规模伤亡事件移动分诊系统:主体内实验研究
背景:灾难医疗数字化在加快救援行动、进而挽救生命方面具有巨大潜力。大规模伤亡事件需要快速、精确的信息管理,以协调有效的应对措施。目前,急救人员手动将分诊结果写在病人卡上,并通过无线电通信将简要信息传送到指挥中心。虽然在实践中得到了广泛应用,但这一流程意味着几项耗时且容易出错的任务。为了解决这些问题,我们设计、实施并评估了一个基于应用程序的移动分诊系统。在该系统中,用户可以记录救援人员的详细信息、分流类别、受伤模式、GPS 定位以及其他重要信息,并将这些信息自动传送给事故指挥官:本研究旨在设计和评估一个基于应用程序的移动系统,与传统的纸质系统相比,该系统可作为急诊和灾难医疗的分诊和协调工具:共有 N=38 名急诊医学人员参与了一项受试者内实验研究,他们分别完成了两个分诊环节,每个环节使用 30 张病人卡:一个环节使用基于 App 的移动系统,另一个环节使用基于纸张的工具。我们对每次分诊的准确性和时间长度进行了测量。此外,我们还采用了用户体验问卷和其他项目来评估参与者对两种分诊工具的主观评价:我们的 2(分诊工具)x 2(工具顺序)混合 MANOVA 显示,分诊工具(PC)具有显著的主效应:我们的研究结果表明,基于应用程序的移动系统在效率和可用性方面不仅能与传统的纸质工具相媲美,甚至还能超越后者。这将进一步拓展数字化在优化灾难医疗流程方面的潜力,从而挽救更多生命:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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