4.1 Article

The Impact of Advanced Cardiac Life Support Simulation Training on Medical Student Self-reported Outcomes

Journal

CUREUS JOURNAL OF MEDICAL SCIENCE
Volume 12, Issue 3, Pages -

Publisher

SPRINGERNATURE
DOI: 10.7759/cureus.7190

Keywords

simulation; simulation trainer; acls; undergraduate medical education

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Introduction: Simulation has become a well-recognized and innovative tool in medical education. While there has been tremendous growth of simulation curricula at the level of graduate medical education, there have been few studies looking at simulation as a learning tool for undergraduate medical education. The goal of this study was to determine if high-fidelity simulation training impacts medical student perception of knowledge and confidence regarding comprehension and application of advanced cardiac life support (ACLS) algorithms. Methods: This is a prospective observational survey study of third and fourth year medical students who participated in an ACLS simulation training during their emergency medicine rotation between January 2018 and October 2018. Cases covered several ACLS topics including unstable bradycardia, supraventricular tachycardia and ventricular tachycardia. After each session, students received a short survey to assess their simulation experience pertaining to knowledge and comfort levels with ACLS topics before and after the simulation experience. Results: A total of 89 students were included in the study with 86.5% of those being fourth year students. There was a significant increase in both knowledge (pre-training 3.17 vs. 4.11 post-training, p<0.001) and comfort scores (pre-training 2.54 vs. 3.74 post-training, p<0.001) after the ACLS simulation training. Overall, 77.5% of students reported an increase in knowledge and 83.1% reported an increase in confidence after the training session. Conclusions: The study revealed a statistically significant increase in both perceived knowledge and comfort and confidence of medical students after high-fidelity simulation using ACLS scenarios.

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