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首页> 外文期刊>Cureus. >Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy
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Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy

机译:排序,评估,救生干预,在大规模伤亡仿真中具有无人机援助的分类:教育疗效分析

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摘要

Introduction Mass casualty incident (MCI) simulation and triage are?educational methods used to provide high fidelity training to first response teams. Simulation?and triage need?to be as effective as possible to train professionals for true emergencies involving mass?casualty. Although MCI simulation and triage have been used in the pre-professional setting (i.e. medical school, nursing school, etc.), more data is required regarding quality improvement of these simulations. This study focuses on quality improvement of MCI simulation and triage in the pre-professional training. In order to evaluate simulation quality to optimize future triage simulations, this study had three specific aims: (1) assess participant accuracy of triage after?training in Sort, Assess, Life-Saving Interventions, Triage/Transport (SALT); (2) evaluate the role of stress and?confidence in participants of triage simulation; (3) determine trainees’ perception of unmanned aerial vehicles (drones) in the setting of mass casualty simulation. Methods A total of 44 attendees of the University of Central Florida (UCF) College of Medicine Global Health Conference participated in this study across three groups. Each group was provided a 15-minute lecture on?SALT?protocol. After the training, the participants continued to a 30-minute simulation in which they were asked to accurately triage up to 46 patient-actors. Each participants’ triage designations were?compared to the previously assigned designations of each patient-actor. Pre- and post-simulation surveys were collected and analyzed using?Statistical Package for the Social Sciences (SPSS) (IBM Corp., Chicago, IL). All other data were analyzed using descriptive statistics. Results Qualitative and Likert data for the simulation were collected from 44 participants. Given a total of 1,113 triage scores?(average of 25.29 triage designations per person), there was data to support that novice learners in this study tended to under-triage using the SALT protocol after 15-minute?SALT training, with an overall accuracy of 52.43%. Survey data showed that confidence in mass casualty triage improved post-simulation, improving from median 3/10 to 5/10. Most participants were unaware of the use of unmanned aerial vehicles in MCI but most had?positive?opinions of their usefulness in MCI after the simulation, with a median score of 8/10. Conclusions Participant accuracy of triage after undergoing a 15-minute training in SALT triage was 52.43%, with a non-statistically significant tendency to under-triage. This accuracy level is consistent with other studies of SALT triage in MCI, but the tendency to undertriage requires further study for validation. Stress levels during the simulation were significantly elevated, while post-simulation confidence increased significantly from pre-simulation.?The perception of drone utility in MCI was favorable among participants in this study, indicating drones may be useful for first response teams in future mass casualty simulations.
机译:引言造型伤亡事件(MCI)模拟和分类是?教育方法,用于为第一支响应团队提供高保真培训。模拟?和分类需要?尽可能有效地培训涉及群众的真正紧急情况的专业人士?伤亡。虽然MCI仿真和分类已用于预先专业的环境(即医学院,护理学校等),但有关这些模拟的质量改进,需要更多的数据。本研究侧重于专业培训前MCI仿真和分类的质量改进。为了评估仿真质量以优化未来的分类模拟,本研究有三个特定的目标:(1)评估分类的参与者准确性之后?培训,评估,节约救生干预,分类/运输(盐); (2)评估压力的作用和?在分类模拟的参与者中的信心; (3)在大规模伤亡模拟中确定受训人员对无人航空车辆(无人机)的看法。方法佛罗里达州中部大学共有44名与会者的医学院全球健康会议参加了三组。每组都提供15分钟的讲座?盐?方案。培训结束后,参与者继续进行30分钟的模拟,其中他们被要求准确地分散46名病人演员。每个参与者的分类指定是?与先前分配的每个患者演员的名称相比。使用何种模拟后调查和分析的社会科学(SPSS)(IBM Corp.,Chicago,IL)分析和分析和分析。使用描述性统计分析所有其他数据。结果从44名参与者收集了模拟的定性和李克特数据。总共有1,113分的分数?(平均每人25.29分档指定),有数据支持这项研究中的新手学习者在15分钟后使用盐议定书倾向于使用盐方案进行分类,具有整体准确性52.43%。调查数据显示,大规模伤亡分类的信心改善了模拟后,从中位于3/10到5/10改善。大多数参与者都没有意识到在MCI中使用无人驾驶航空公司,但大多数人都有?积极?模拟后MCI在MCI中的有用意见,中位数得分为8/10。结论在盐分类培训15分钟培训后,分类的参与者准确性为52.43%,对分类的非统计学意义。这种准确度水平与MCI中的盐类分类的其他研究一致,但趋势需要进一步研究验证。模拟过程中的应力水平显着提升,而模拟后的信心显着增加,从预计上显着增加。?在本研究中的参与者中,MCI的无人机效用的感知是有利的,指示无人机可能对未来的响应小组有用模拟。

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