The Canadian journal of cardiology
-
Although electrocardiography (ECG) is a fundamental skill for most physicians, trainees have poor diagnostic performance when interpreting ECGs. In this study, we examine a strategy to improve learning ECG interpretation: self-generation of diagnoses during online practice. We randomly assigned medical students and residents to one of 2 ECG interpretation training formats: multiple-choice (MCQ) or self-generation (SG) format, where participants free-text type their diagnosis aided by an autocomplete feature. ⋯ The SG group made the correct primary diagnosis at a faster rate (32 vs 56 seconds; P < 0.001) but had a lower detection of secondary diagnoses (22 vs 42%; P = 0.007). Practicing ECG interpretation using self-generation of diagnoses improved immediate post test performance and fluency. Replication in other contexts and with other populations is required to confirm our findings and to further study retention.