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Simulation in a disaster drill: comparison of high-fidelity simulators versus trained actors
Brian Gillett1, Brad Peckler, Richard Sinert
1Center for Advanced Clinical Skills Lab, University of South Florida, Tampa, FL, USA. bpgillett@earthlink.net
Summary
High-fidelity patient simulators and live actors yield equivalent critical action completion rates in mass casualty drills. Simulators enhance the perceived realism of training exercises for medical providers.
Area of Science:
- Medical Education
- Emergency Medicine
- Simulation Technology
Background:
- High-fidelity patient simulation offers realistic medical scenarios with stressors.
- Mass casualty drills require realistic incidents to test provider and institutional resource management.
- This study compares high-fidelity simulated patients to live actor-patients in drills.
Purpose of the Study:
- To compare the effectiveness of high-fidelity simulated patients versus live actor-patients in mass casualty drills.
- To assess the impact of simulators on the perceived realism of mass casualty drills.
- To evaluate critical action completion rates using both simulation methods.
Main Methods:
- A prospective cohort study during two mass casualty drills (December 2006, March 2007).
- Comparison of critical action completion between live actor-patients and simulators.
- Post-test surveys assessed participant perception of "reality" and training value.
Main Results:
- Victim injuries included burn, blast, or inhalation trauma (n=130).
- Critical action miss rate was low and equivalent: 0.74% for simulators and live actors.
- Over 96% of participants would recommend simulators; they heightened realism, accurately represented disease states, and improved patient assessment/treatment realism.
Conclusions:
- High-fidelity simulators are equivalent to live actors in prompting critical actions during mass casualty drills.
- Simulators enhance the perceived realism and training value of mass casualty drills.
- Simulators are a valuable tool for medical training in high-stress, mass casualty scenarios.
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