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Comparing Tabletop and High-Fidelity Simulation for Disaster Medicine Training in Emergency Medicine Residents

Published online by Cambridge University Press:  06 October 2025

Amir Lotfy Rashed
Affiliation:
Emergency Medicine Department, University of Texas SouthWestern , Dallas, TX, US
Anjali Cherukuri
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Rie Seu
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Cara Taubman
Affiliation:
Emergency Medicine Department, Harlem Hospital, New York, NY, US
Jamila Jamal
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Montefiore-Weiler Campus, Bronx, NY, US
Debayan Guha
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Oark Ahmed
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Jennifer Melgar
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Thomas Kardashian-Sieger
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Natcha Rummaneethorn
Affiliation:
Emergency Medicine Department, Harlem Hospital, New York, NY, US
Andrew Restivo
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Montefiore-Weiler Campus, Bronx, NY, US
Andrew Yoon
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Montefiore-Moses Campus, Bronx, NY, US
Ariella Gartenberg*
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
Maninder Singh
Affiliation:
Emergency Medicine Department, Albert Einstein College of Medicine and Jacobi Medical Center/North Central Bronx , Bronx, NY, US
*
Corresponding author: Ariella Gartenberg; Email: ariella.applebaum@gmail.com
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Abstract

Objectives

To compare the effectiveness of tabletop exercises (TTX) and high-fidelity in-person simulations (IPS) in improving knowledge, confidence, and perceived preparedness in disaster medicine among emergency medicine residents.

Methods

A prospective, randomized educational intervention was conducted across 2 urban emergency medicine residency programs. Sixty-three residents were randomized to TTX or IPS groups. Each group completed a preintervention knowledge and confidence assessment, participated in their assigned exercise based on a simulated mass casualty incident (MCI), and underwent a structured debrief. Postintervention surveys assessed change in knowledge and self-reported comfort levels. A paired 2-tailed Student’s t-test was utilized to compare results. Statistical significance was defined as P < 0.01.

Results

Both groups demonstrated increased self-reported confidence and knowledge regarding management of MCIs. TTX participants showed higher median post-test scores (77.4%, N = 38) compared to IPS participants (67.4%, N = 25). Results were not statistically significant (P = 0.079).

Conclusions

TTX is an effective modality for disaster medicine education, with outcomes comparable to IPS. While TTX may better align with knowledge-based assessments, IPS remains essential for practicing real-time decision-making under stress. Combining these 2 modalities may provide both the knowledge base and psychological duress required for robust disaster scenario training.

Information

Type
Brief Report
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc
Figure 0

Table 1. Comfort levels (average and percentage participants by Likert Scale) pre- and postintervention (IPS or TTX) with relative significance

Figure 1

Table 2. Postintervention comparison of MCQ responses in IPS and TTX groups following MCI scenario