Korean J Women Health Nurs Search

CLOSE


Korean J Women Health Nurs > Volume 24(2); 2018 > Article
Korean Journal of Women Health Nursing 2018;24(2):150-162.
DOI: https://doi.org/10.4069/kjwhn.2018.24.2.150    Published online June 20, 2018.
Effect of Practical Delivery-nursing Simulation Education on Team-based Learning on the Nursing Knowledge, Self-efficacy, and Clinical Competence of Nursing Students
Sun Hee Lee
Department of Nursing Science, Gimcheon University, Gimcheon, Korea. lsh12@gimcheon.ac.kr
Abstract
PURPOSE
To identify the effects of delivery-nursing simulation education using team-based learning on the delivery nursing knowledge, self-efficacy, and clinical competence of nursing students.
METHODS
The study used a nonequivalent, control group, quasi-experimental design. The team-based learning was applied to the experimental group, while the individual learning was applied to the control group. Data were collected from October 12 to December 7, 2016, and analyzed using the SPSS/WIN 22.0 program.
RESULTS
Comparison between the experimental and control group showed no significant difference in delivery-nursing knowledge (t=−0.33, p=.741) or self-efficacy (t=−0.65, p=.515). However, a significant difference (t=−2.09, p=.048) in the nursing-skills aspect of clinical competence was found between the experimental and control groups after the practical simulation education.
CONCLUSION
Delivery-nursing simulation education using team-based learning was more effective in improving the nursing-skills aspect of nursing competence than was delivery-nursing simulation education based on individual learning.
Key Words: Patient simulation; Delivery; Knowledge; Self-efficacy; Clinical competence


ABOUT
BROWSE ARTICLES
CURRENT ISSUE
FOR AUTHORS AND REVIEWERS
Editorial Office
College of Nursing, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Tel: +82-2-2228-3276    Fax: +82-2-2227-8303    E-mail: kjwhn@kjwhn.org                

Copyright © 2021 by Korean Society of Women Health Nursing.

Developed in M2PI

Close layer
prev next