Key result
An e-learning course was noninferior to a lecture-based course for postcourse ECG interpretation test scores among medical students (15.1 vs 15.0; 95% UCI 14.2 to +∞, noninferiority margin 2.5).
Why the study?
Does an e-learning course provide noninferior ECG interpretation skills compared to a lecture-based course in medical students?
RCT (n=98)
computer-generated random allocation sequence
No
Does an e-learning course provide noninferior ECG interpretation skills compared to a lecture-based course in medical students?
Absolute Event Rate: 15.1% vs 15%
E-learning is a noninferior and effective alternative to traditional lecture-based courses for teaching ECG interpretation to medical students.
Supports e-learning integration into medical curricula for ECG skills; extends evidence for digital education modalities in skill-based training.
OBJECTIVE: An ECG is pivotal for the diagnosis of coronary heart disease. Previous studies have reported deficiencies in ECG interpretation skills that have been responsible for misdiagnosis. However, the optimal way to acquire ECG interpretation skills is still under discussion. Thus, our objective was to compare the effectiveness of e-learning and lecture-based courses for learning ECG interpretation skills in a large randomized study. PARTICIPANTS AND METHODS: We conducted a prospective, randomized, controlled, noninferiority study. Participants were recruited from among fifth-year medical students and were assigned to the e-learning group or the lecture-based group using a computer-generated random allocation sequence. The e-learning and lecture-based groups were compared on a score of effectiveness, comparing the 95% unilateral confidence interval (95% UCI) of the score of effectiveness with the mean effectiveness in the lecture-based group, adjusted for a noninferiority margin. RESULTS: Ninety-eight students were enrolled. As compared with the lecture-based course, e-learning was noninferior with regard to the postcourse test score (15.1; 95% UCI 14.2; +∞), which can be compared with 12.5 [the mean effectiveness in the lecture-based group (15.0) minus the noninferiority margin (2.5)]. Furthermore, there was a significant increase in the test score points in both the e-learning and lecture-based groups during the study period (both P<0.0001). CONCLUSION: Our randomized study showed that the e-learning course is an effective tool for the acquisition of ECG interpretation skills by medical students. These preliminary results should be confirmed with further multicenter studies before the implementation of e-learning courses for learning ECG interpretation skills during medical school.
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Montassier et al. (2014) conducted an RCT in ECG interpretation skills acquisition (n=98). e-learning course vs. lecture-based course was evaluated on postcourse test score (95% CI 14.2 to +∞). An e-learning course was noninferior to a lecture-based course for postcourse ECG interpretation test scores among medical students (15.1 vs 15.0; 95% UCI 14.2 to +∞, noninferiority margin 2.5).
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