Evidence map›Paper›PMID 35682218›Full record

ArticleInternational journal of environmental research and public health2022

The Study of Alternative Fire Commanders' Training Program during the COVID-19 Pandemic Situation in New Taipei City, Taiwan.

Sheng-Chieh Lee, Ching-Yuan Lin, Ying-Ji Chuang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sheng-Chieh LeeDepartment of Architecture, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.ORCID 0000-0003-3417-3252
Ching-Yuan LinDepartment of Architecture, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Ying-Ji ChuangDepartment of Architecture, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19FirefightersComputer SimulationHumansPandemicsTaiwanbuilding fireCOVID-19incident commanderstrainingVR projection

Identifiers

PMID35682218
PMCPMC9180510

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.