
Background:Simulation-based training systems such as the Emergo Train System (ETS) are used to improve preparedness and response in emergency and disaster medicine. These systems allow for practice in decision-making, coordination, and resource allocation in simulated crisis scenarios. Objective:To evaluate an ETS-based training exercise conducted for fire and rescue personnel in leadership roles, with a focus on improving decision-making, situational awareness, and communication during emergency response operations. Results:A total of 30 participants evaluated the exercise using a structured questionnaire. The results indicated high satisfaction with the realism, clarity, and educational value of the scenarios, with mean scores above 4.5 on a 5-point scale in most categories. Participants reported that the training supported learning outcomes and that the skills and procedures practiced were applicable to real-life situations. While ETS was generally viewed as a useful complement to traditional exercises, slightly lower scores related to perceived learning effectiveness suggested a need to refine learning objectives and enhance clarity regarding the educational purpose of the system. Conclusion:The ETS-based exercise was considered successful in achieving its objectives and supporting learning among participants. Simulation-based training is an effective tool for improving preparedness, though further development of learning goals and instructional clarity could enhance its educational impact.
(MeSH) Emergency Medical Services, (MeSH) Disaster Planning, (MeSH) Emergency Responders, (MeSH) Decision Making, (MeSH) Program Evaluation, (MeSH) Organizational Innovation, (MeSH) Emergency Preparedness, (MeSH) Education, Professional, (MeSH) Simulation Training
(MeSH) Emergency Medical Services, (MeSH) Disaster Planning, (MeSH) Emergency Responders, (MeSH) Decision Making, (MeSH) Program Evaluation, (MeSH) Organizational Innovation, (MeSH) Emergency Preparedness, (MeSH) Education, Professional, (MeSH) Simulation Training
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