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Journal of Korean Critical Care Nursing 2015;8(2):23-32.
Published online December 31, 2015.

시뮬레이션기반 교육이 간호대학생의 전문심폐소생술 지식과 수행능력에 미치는 효과
오자영, 송미숙, 박진희, 유미애
1아주대학교 간호학과
2아주대학교 간호대학.간호정책연구소
3아주대학교 간호대학.간호정책연구소
4아주대학교 간호대학.간호정책연구소
Effects of Simulation-Based Training on Nursing Students' Knowledge and Ability to Perform Advanced Cardiovascular Life Support
Ja Young Oh, Mi-Sook Song, Jin-Hee Park, Mi-Ae You
1Department of Nursing Science, Ajou University
2College of Nursing, Institute of Nursing Science, Ajou University
3College of Nursing, Institute of Nursing Science, Ajou University
4College of Nursing, Institute of Nursing Science, Ajou University
Abstract
Purpose
The purpose of this study was to analyze the effects of simulation-based training on nursing students' knowledge and ability to perform advanced cardiovascular life support.
Methods
A nonequivalent control group non-synchronized design was used. The participants were, in total, 59 junior college nursing students (experimental group: 30, control group: 29). The data were analyzed with a ${chi}^2$-test, independent t-tests, and analysis of covariance (ANCOVA) using IBM SPSS Statistics 23 program.
Results
The experimental group ($80.8{pm}8.4$), who received simulation-based advanced cardiovascular life support education, showed a higher level of knowledge of advanced cardiovascular life support than the control group ($75.0{pm}9.9$), who received lecture-based education. In addition, the experimental group ($106.4{pm}11.9$) showed a higher level of ability to perform advanced cardiovascular life support than the control group ($86.5{pm}9.9$).
Conclusion
Simulation-based advanced cardiovascular life support education was more effective for increasing the knowledge and performance ability of college students than lecture-based education. Therefore, simulation-based training should be used to improve the knowledge and ability of nursing students and should be applied with reinforced systematic education programs.
Key Words: Advanced Cardiovascular Life Support, Knowledge, Performance ability, Simulation


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