İleri Yaşam Desteği Simülasyonunun Tıp Fakültesi Son Sınıf Öğrencilerinin Özyeterlik Algısına Etkisinin Değerlendirilmesi

Abstract

Evaluation Of The Effect Of Advanced Life Support Simulation On Final-Year Medical Students' Self-Efficacy Perceptions, Hacettepe University, Graduate School of Health Sciences, Medical Education Doctoral Thesis, Ankara, 2021. The study was conducted to evaluate the effect of scenario-based advanced life support simulation on self-efficacy perceptions of advanced life support technical skills, performance, and simulation training experiences of the final-year medical school students. The research was completed in a mixed design with quantitative and qualitative data, with 80 final-year students studying at Kocaeli University Faculty of Medicine in 2019-2020 and 2020-2021 academic years. 53 of these students were in the experimental group and 27 of them were in the control group. According to the findings, the percentage of change in self-efficacy perception in the control group was 27% (9.58 - 54.54), while it was 52.94% (29.78 - 78.17) in the experimental group. The percentages of change of the increases of the pre- and post-self-efficacy perceptions of the experimental and control groups were found to be statistically significant (p<0.05). The Kappa statistics were calculated between the experimental group students' advanced life support technical skills self-efficacy perception pre-assessment scores and their performance during the simulation. Accordingly, the measure of agreement is low in all questions. In other words, a concordance could not be determined between the students' performances and their self-efficacy perceptions. In the qualitative analysis phase, focus group studies were carried out. The main themes accessed from the coding made with the content analysis method are self-efficacy perception, learning, simulation method, and development. The theme with the highest amount of data was 'Learning' with 32.6%. 'Perception of self-efficacy', 'Simulation Method', “Improvement” were coded as 29%, 21.3% and 16.5%, respectively.