Predicting electrocardiogram interpretation performance in Advanced Cardiovascular Life Support simulation: comparing knowledge tests and simulation performance among Mexican medical students

• Main Authors: Michael William Smith, David Abarca Rondero
• Format: Article
• Language: English
• Published: PeerJ Inc. 2019-03-01
• Series: PeerJ
• Subjects: Simulation training; Educational measurement; Electrocardiography; Advanced Cardiac Life Support; Knowledge
• Online Access: https://peerj.com/articles/6632.pdf

Background Simulation plays a key role in assessing performance in Advanced Cardiovascular Life Support (ACLS). Traditional knowledge tests are also important for assessing the cognitive elements of ACLS performance. However, the association between the two has not been established. In this study, we focus on one important element in ACLS—interpretation of electrocardiograms (ECG)—and the potential of knowledge tests to serve as predictors of improvement in ACLS performance. Methods We looked at the correlation between Mexican medical students’ improvement in ECG interpretation performance in ACLS megacode simulations (from the start of the semester to the end of the semester), and their scores on ECG interpretation knowledge tests. Results We found significant improvement in ECG interpretation in ACLS megacode simulation (from pre-semester to post-semester), but this was not predicted by the ECG interpretation knowledge test scores. The correlation was .079 (p = 0.66). Conclusions These results suggest that even cognitive tasks such as ECG interpretation can be expressed and assessed differently in simulation versus traditional knowledge testing.