Efficiency analysis by training sequence of high-fidelity simulation-based neonatal resuscitation program (NRP)

Seoheui Choi, Hoyeon Shim and Jang H Lee

PLOS ONE, 2023, vol. 18, issue 2, 1-9

Abstract: Objective: This study was conducted to find a more effective education method in a neonatal resuscitation program (NRP) using a high-fidelity simulation that has recently shown positive results in terms of its effectiveness. Study design: A single-blind prospective cohort study was performed. The high-fidelity simulation model was used in a formal NRP training course for trainees caring for neonatal patients. The trainees were divided into a group that conducted the scenario after the lecture (Group A) and a group that attended the lecture after the scenario (Group B) and they both took the test before, during, and after the training. Results: The increase in score after theory training was statistically significant in both groups, but the final score did not differ between the two groups. However, when compared by career, in Group A, trainees under 24 months tended to be more effective, and in Group B, trainees over 24 months tended to be more effective. Conclusion: The difference in short-term memory of trainees according to the order of education identified by the test score was not prominent, but it was found that the degree of difference in test scores for the order of education tended to be different according to the career. It is thought that the effectiveness of the training might be increased by changing the education order according to the degree of experience of each trainee. More effective educational methods should be introduced by continuously developing lectures for repeated education of various trainees in the future.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0281515

DOI: 10.1371/journal.pone.0281515

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