Development and Evaluation of a Nursing Simulation Training Program for Pregnant Trauma Patients

Purpose: This study aimed to develop and evaluate a simulation training program on nursing for pregnant trauma patients. Methods: This study used the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. An 170-minute trauma nursing simulation training program for pregnant women using a high-fidelity simulator was provided to 16 cadets in the experimental group. The 15 cadets in control group were provided with a 60 minute case study of pregnant trauma patients. We measured the cadets’ clinical performance ability, educational satisfaction, and learning immersion. Results: There was no difference in the homogeneity test between the control and experimental groups. In the experimental group, the improvement of clinical performance ability was statistically significant immediately after the intervention. In addition, the control and experimental groups had a statistically significant difference in educational satisfaction and learning immersion. Conclusion: The simulation program developed in this study will contribute to strengthening both cadets' and nursing officers' trauma nursing competency for pregnant cases which are complex and less frequently encountered in clinical settings. It is necessary to develop simulation based education program considering a multidisciplinary approach.

Authors

Publication Details

Journal
Korean Journal of Military Nursing Research
Published
2025-06-30
DOI
https://doi.org/10.31148/kjmnr.2025.43.2.01
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Evaluation of a Nursing Simulation Training Program for Pregnant Trauma Patients

Younmi Kim, Soo‐Yeon Kim, Eun Young Jung
Korean Journal of Military Nursing Research
Simulation-Based Education in Healthcare
article

Development and Evaluation of a Nursing Simulation Training Program for Pregnant Trauma Patients

Younmi Kim, Soo‐Yeon Kim, Eun Young Jung
article en

Abstract

Purpose: This study aimed to develop and evaluate a simulation training program on nursing for pregnant trauma patients. Methods: This study used the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. An 170-minute trauma nursing simulation training program for pregnant women using a high-fidelity simulator was provided to 16 cadets in the experimental group. The 15 cadets in control group were provided with a 60 minute case study of pregnant trauma patients. We measured the cadets’ clinical performance ability, educational satisfaction, and learning immersion. Results: There was no difference in the homogeneity test between the control and experimental groups. In the experimental group, the improvement of clinical performance ability was statistically significant immediately after the intervention. In addition, the control and experimental groups had a statistically significant difference in educational satisfaction and learning immersion. Conclusion: The simulation program developed in this study will contribute to strengthening both cadets' and nursing officers' trauma nursing competency for pregnant cases which are complex and less frequently encountered in clinical settings. It is necessary to develop simulation based education program considering a multidisciplinary approach.

Korean Journal of Military Nursing ResearchVol. 43(2)
Gender equality
Openalex Percentile: Top 77%
Simulation-Based Education in Healthcare
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.