The Use of Smartphone-Based Highly Realistic MCI Training as an Adjunct to Traditional Training Methods

Author:

Bauchwitz Benjamin1,Nguyen John23,Woods Kelsey3,Albagli Kyle3,Sawitz Michael3,Hatch Madeleine3,Broach John23

Affiliation:

1. Charles River Analytics, Inc. , Cambridge, MA 02138, USA

2. University of Massachusetts Memorial Medical Center , Worcester, MA 01655, USA

3. University of Massachusetts Chan Medical School , Worcester, MA 01655, USA

Abstract

ABSTRACT Introduction Training for mass casualty incident (MCI) response is critical to ensure that resource allocation and treatment priorities limit preventable mortality. Previous research has investigated the use of immersive virtual environments as an alternative to high fidelity MCI training, which is expensive and logistically challenging to implement. While these have demonstrated positive early results, they still require complex technology deployment, dedicated training facilities, and significant time from instructors and facilitators. This study explores the feasibility of a smartphone-based application for trauma care training and MCI triage to fill the gap between classroom learning and high-fidelity simulation. The goals of this investigation were to evaluate clinician perceptions of a virtual MCI training simulator’s usability, acceptability, fidelity, functionality, and pacing. Materials and Methods This study used a smartphone-based training simulation called Extensible Field and Evacuation Care Training in a Virtual Environment (EFECTIVE), which presents virtual patient scenarios in a gamified, but visually high-fidelity environment. A total of 21 participants were recruited as a convenience sample of medical students, paramedics, nurses, and emergency medicine resident and attending physicians at University of Massachusetts Memorial Medical Center, an urban tertiary care medical center. Participants completed a brief tutorial and then performed a series of virtual patient scenarios and 1 MCI scenario on the simulator, each of which was 5 minutes in duration. Then, each participant completed a survey assessing the perceived usability, acceptability, fidelity, functionality, and pacing of the virtual training simulator. The research protocol was approved by the University of Massachusetts Chan Medical School Institutional Review Board. Results 48% of participants disagreed that a virtual simulator could completely replace live MCI training, though 71% agreed that app-based simulations could effectively supplement live MCI training and 67% felt that they could be used to learn how to order medical interventions in care under fire scenarios. 80% of participants agreed that the simulation could be used to practice MCI triage and to gain experience with coordinating movement of casualties to casualty collection points. 67% of participants believed that use of virtual simulators would increase their MCI preparedness. 76% agreed that the clinical cases depicted were medically realistic and that the clinical cases presented accurately represented the scenarios described. In addition, despite being presented on a smartphone as opposed to virtual reality, 62% of participants rated the experience immersive. Conclusions This study provides encouraging evidence that easy to deploy smartphone–based simulations may be an effective way to supplement MCI and care under fire training. Although the study is limited by a small sample size, there was strong agreement among participants from a wide variety of emergency medicine roles that such a simulation could train core topics associated with MCI triage. Because app-based simulations are easily deployable and can be executed quickly and frequently, they could be used as a more flexible training model compared to large scale live or virtual reality–based simulations. The results of this investigation also indicate that a sufficient level of medical realism can be achieved without live simulation.

Funder

Medical Research and Materiel Command

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3