A Study on Improving the Education System for 119 EMTs Based on the Annual Completion Status of Their Education and Training

This study aimed to examine the completion status of special education and training among 119 EMTs to identify areas for improvement. In this retrospective cross-sectional study, secondary data from the 2024 education and training records of 119 EMTs affiliated with Fire Headquarters C were analyzed. The final analysis included data from 582 personnel. The mean training completion time was 53.75 ± 14.77 h. Completion time differed significantly by gender (t = -2.059, p = .040), but not by any other participant characteristics examined (p > .05). The multiple-response analysis revealed that training was most commonly provided by fire stations (99.8%) and professional associations (83.3%). Lecture-based training (97.9%) and remote training (74.6%) were the most common. Although 94.3% of the personnel completed the Special EMS Team training, participation in hospital clinical practice (12.9%) and specialized EMS courses (0.7%∼4.6%) was low. Participation in simulation training (14.8%) and focused hands-on practice (3.4%) was also relatively low. These findings support expanding access to specialized and practice-oriented simulation training and developing a training management system that considers the career stages and job responsibilities of EMS personnel.

Authors

Institutions

Publication Details

Journal
Fire science and engineering
Published
2026-10-29
DOI
https://doi.org/10.7731/kifse.0afd1619
Primary Topic
Emergency Medicine Education and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Improving the Education System for 119 EMTs Based on the Annual Completion Status of Their Education and Training

Jung-Seung Park, Keun-Ja Cho, Seung-Muk Baek
Fire science and engineering
Emergency Medicine Education and Research
article

A Study on Improving the Education System for 119 EMTs Based on the Annual Completion Status of Their Education and Training

Jung-Seung Park, Keun-Ja Cho, Seung-Muk Baek
article en

Abstract

This study aimed to examine the completion status of special education and training among 119 EMTs to identify areas for improvement. In this retrospective cross-sectional study, secondary data from the 2024 education and training records of 119 EMTs affiliated with Fire Headquarters C were analyzed. The final analysis included data from 582 personnel. The mean training completion time was 53.75 ± 14.77 h. Completion time differed significantly by gender (t = -2.059, p = .040), but not by any other participant characteristics examined (p > .05). The multiple-response analysis revealed that training was most commonly provided by fire stations (99.8%) and professional associations (83.3%). Lecture-based training (97.9%) and remote training (74.6%) were the most common. Although 94.3% of the personnel completed the Special EMS Team training, participation in hospital clinical practice (12.9%) and specialized EMS courses (0.7%∼4.6%) was low. Participation in simulation training (14.8%) and focused hands-on practice (3.4%) was also relatively low. These findings support expanding access to specialized and practice-oriented simulation training and developing a training management system that considers the career stages and job responsibilities of EMS personnel.

Fire science and engineeringVol. 40(5)
Ajou Motor College (KR), Kongju National University (KR)
Quality education, Good health and well-being
Openalex Percentile: Top 10%
Emergency Medicine Education and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon