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Learning From Simulating Mass Casualty Events: A Systematic Search and a Comprehensive Qualitative Review

Published online by Cambridge University Press:  14 October 2022

Kathryne Ledbury*
Affiliation:
Basildon University Hospital, United Kingdom
Simon Glasgow
Affiliation:
Imperial College Healthcare NHS Trust, United Kingdom
Rosel Tallach
Affiliation:
Raigmore Hospital, United Kingdom
*
Corresponding author: Kathryne Ledbury, Email: kathryne.ledbury@nhs.net
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Abstract

Mass casualty events (MCE) strain available health-care resources requiring extraordinary measures. Simulated exercises are used to improve preparedness. We sought to identify learning points and common themes arising from such exercises in literature. Reporting of action points to improve response plans were investigated. Type of exercises, environments, and departments were also explored. We systematically searched 3 databases and applied our eligibility criteria. Inclusion criteria were in-situ MCE simulations of clinical response to traumatic MCEs, including scene management, prehospital care, and in hospital care. Exclusion criteria were nonmedical response, infectious outbreaks, training courses with self-selecting participants, simulations assessing mechanical tools, and mathematical modeling. A total of 6883 titles were identified and screened. Eighty-three studies were read in full. Twenty-two articles were included. We identified numerous learning points, which were collated and categorized into 11 themes. Fifty-nine percent of the papers reported actions that would be or had been implemented. MCE simulation exercises have been found to improve familiarity and confidence among participants. The 11 themes identified from published exercises overlap with areas of improvement from real events. MCE simulations in the literature appear to focus on carrying out the exercise itself rather than learning points possibly missing opportunities to improve response plans.

Information

Type
Systematic Review
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
Figure 0

Table 1. Search inclusion and exclusion criteria

Figure 1

Figure 1. Search terms applied across the three reviewed databases.

Figure 2

Table 2. Data extracted from selected literature

Figure 3

Figure 2. Flow chart of the search strategy and study selection process.

Figure 4

Figure 3. A, The years in which the included papers were published. B, The number of different types of simulations carried out in the included articles. C, The number of hospital or prehospital exercises carried out. D, The number of departments involved in the simulation. E, Types of scenarios involved. *This scenario was an explosion leading to a train derailment and a chemical spill. F, The number of different focuses each paper had. G, The number of papers that (Y) stated action plans have been implemented or suggested action points that will be implemented and (NA) did not report any action points.

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