Empowering medical students: bridging gaps with high-fidelity simulations; a mixed-methods study on self-efficacy

High-fidelity simulations play a crucial role in preparing for high-mortality events like cardiopulmonary arrest, emphasizing the need for rapid and accurate intervention. Proficiency in cardiopulmonary resuscitation(CPR) requires a strong self-efficacy(SE); training for both is crucial. This study assesses the impact of Advanced Life Support(ALS) simulation on SE changes in final-year medical students.

This mixed-methods prospective simulation study involved medical students in emergency medicine internships, examining self-efficacy perceptions regarding ALS technical skills(ALS-SEP). A comparison was made between students who underwent scenario-based ALS simulation training and those who did not. Competencies in chest compression skills were assessed, and the concordance between ALS-SEP scores and observed CPR performances were evaluated. Focus group interviews were conducted and analyzed using content analysis techniques.

The study involved 80 students, with 53 in the experimental group(EG) and 27 in the control group(CG). The EG, underwent simulation training, showed a significantly higher ALS-SEP change than the CG(p < 0.05). However, there was low concordance between pre-simulation SEP and actual performance. Compression skills success rates were inadequate. Qualitative analysis revealed main themes as"learning"(32.6%), "self-efficacy"(29%), "simulation method"(21.3%), and "development"(16.5%).

Post-simulation, students reported improved SEP and increased readiness for future interventions. The findings and qualitative statements support the effectiveness of simulation practices in bridging the gap between SEP and performance. Utilizing simulation-based ALS training enhances learners' belief in their capabilities, raises awareness of their competencies, and encourages reflective thinking. Given the importance of high SEP for ALS, simulation trainings correlating self-efficacy perception and performance may significantly reduce potential medical errors stemming from a disparity between perceived capability and actual performance.