The Study of Alternative Fire Commanders' Training Program during the COVID-19 Pandemic Situation in New Taipei City, Taiwan.
Int J Environ Res Public Health
; 19(11)2022 05 29.
Article
in English
| MEDLINE | ID: covidwho-1869610
ABSTRACT
In Taiwan, firefighters are responsible for transporting confirmed coronavirus cases to hospitals or epidemic prevention hotels. During the epidemic, in order to reduce the chance of cross-infection between the general public and the fire brigade, traditional collective mobilization training was limited. As a solution, this study combines a fire command course (C1) and a VR simulation for training fire station captains (VRST) and then applies the pre- and post-test evaluation approaches and the after-class questionnaire to summarize the learning effectiveness. The results show that, from a total of 244 captains that were trained, the after-training scores are significantly better when compared with the scores before training (p < 0.05, Cohen's d > 0.8). Additionally, the post-test scores collected during the epidemic (n = 158) have no significant difference compared to the ones taken before the outbreak (2019, n = 86) in terms of sizing up, decision making, and safety management. The training results are still improving. The after-class questionnaire showed that most trainees believed that VRST helped to improve their confidence as incident commanders (ICs) (mean = 4.63, top box = 66.98%), with the novice and suburban groups exhibiting more significant improvements in command ability after the training. After the pandemic, VRST can continue as a regular training method for ICs. Because of the intervention of VRST, the differences in the command experience between different IC groups can be compensated for.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Firefighters
/
COVID-19
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
Ijerph19116633
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