KMID : 1812520230070020105
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Journal of Healthcare Simulation 2023 Volume.7 No. 2 p.105 ~ p.115
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Effect of simulation-based COVID-19 patient infection control education for new nurses
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Bae So-Hyun
Choi Dong-Won
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Abstract
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Background: This study aimed to develop a simulation-based training program for coronavirus disease 2019 (COVID-19) infection control and examine its effects on COVID-19 infection control knowledge, performance, and satisfaction among new nurses.
Methods: A nonequivalent control group pre- and post-test design was employed. Study participants included 60 new nurses (30 each in the experimental and control groups) from Hospital I. A simulation-learning module for COVID-19 infection control was developed based on Jeffries¡¯ simulation model. The module consisted of a mini-lecture, pre-briefing, simulation practice, and debriefing. The effects of the simulation-based training program were measured using COVID-19 infection control knowledge, performance, and satisfaction vis-a-vis the training program. Data were analyzed using ¥ö2-test, Fisher¡¯s exact test, and t-test.
Results: The levels of COVID-19 infection control knowledge (t=-3.05, p=.003) and COVID-19 infection control performance (t=-3.36, p=.001) of the experimental group were significantly higher than that of the control group after the training program.
Conclusion: The simulation-based training program for COVID-19 infection control effectively improved both knowledge and performance. In addition, it was more effective than the traditional methods. Therefore, simulation-based educational strategies need to be actively applied to effectively improve various competencies in safer practice environments for new nurses preparing for adaptation.
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KEYWORD
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COVID-19, Simulation Training, Infection Control, Nursing Education
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