Improved Casualty Depiction System for Simulated Mass Casualty Exercises

Author:

Meyer Eric G12,Godshall-Bennett Loxley13,Moreno Arianna14,Guo Grace15,May Natalie16,Spencer Chelsea M7ORCID,Schwartz James1ORCID,Vojta Leslie R1,Rudinsky Sherri L1

Affiliation:

1. Uniformed Services University of the Health Sciences , Bethesda, MD 20814, USA

2. Air Force Medical Agency, Defense Health Headquarters , Falls Church, VA 22042, USA

3. Walter Reed National Military Medical Center , Bethesda, MD 20889, USA

4. San Antonio Military Medical Center , San Antonio, TX 78234, USA

5. Tripler Army Medical Center , Honolulu, HI 96859, USA

6. Naval Medical Center San Diego , San Diego, CA 92134, USA

7. Department of Applied Human Sciences, Kansas State University , Manhattan, KS 66506, USA

Abstract

ABSTRACT Introduction Assessing military medical teams’ ability to respond to large-scale mass casualty (MASCAL) events has become a priority in preparing for future conflicts. MASCAL exercises rely on large numbers of simulated patients with limited medical training. Role-players must be appropriately prepared to ensure that medical exercises adequately assess the expected capabilities of military medical units. The Uniformed Services University of the Health Sciences (USUHS) has evaluated future military providers for decades using a large-scale, multiday, immersive simulation called Bushmaster. Despite a robust casualty training system, the fidelity of the portrayals remained limited. Materials and Methods Through collaboration with national military medical experts, a comprehensive casualty depiction system was developed. This system relied on structured casualty cards linked to time-based illness scripts. Structured casualty cards included an appropriate balance of disease non-battle injuries and trauma, included multipatient presentations based on shared events (i.e., multiple injured personnel due to an aircraft crash), normal and pathologic combat stress, population/unit considerations, requirements for different roles within the medical unit, and expected clinical outcomes. Illness scripts, supplemented by video guides, included time-based courses of illness/injury and prescribed responses to different typical treatments. This system was piloted during an annual MASCAL exercise (Operation Bushmaster) at USUHS. Clinical faculty were queried on the fidelity of this new system while role-players were evaluated on feasibility. Results Three hundred casualty cards linked to 49 illness scripts were created, peer-reviewed, and piloted at Bushmaster. A total of 170 military members with limited medical training portrayed simulated patients utilizing the new casualty depiction system. Clinical faculty members strongly agreed that the improved casualty depiction system improved the realism of individual patient presentations (96%). Eighty-three percent of role-players strongly agreed that the casualty depiction system was easy to understand. Conclusions This improved casualty depiction system was a feasible approach to enhance the fidelity of a MASCAL exercise. It has since been shared with military medical units around the globe to assist with their MASCAL exercises, making future multisite evaluations of this casualty depiction system possible.

Publisher

Oxford University Press (OUP)

Reference23 articles.

1. Air Force, Space Force announce sweeping changes to maintain superiority amid great power competition;Secretary of the Air Force Public Affairs,2024

2. Mass casualty management system - course manual;Pan American Health Organization,2019

3. Leadership education and development at the Uniformed Services University;O’Connor;Mil Med,2015

4. Healthcare Simulation Dictionary

5. Results of a mass casualty incident simulation in an undergraduate nursing program;Zinan;J Nurs Educ Pract,2015

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