Computer-aided learning in capsule endoscopy leads to improvement in lesion recognition ability

Abstract

The rapid expansion in use of capsule endoscopy (CE) has led to discussion about training needs and provision. The lesion recognition skills required for CE are ideally suited to computer-based training. The aim of this study was to prospectively evaluate the educational effectiveness of a computer-based CE training and testing module on trainees with varying experience. This was a prospective educational evaluation study. Academic endoscopy unit. This study involved 28 trainees of varying CE experience (medical students, gastroenterology trainees) and 4 CE experts. Trainees (medical students and gastroenterology trainees) without CE experience completed a 60-question, computer-based test module consisting of 30-second video clips and multiple-choice questions. Without feedback, trainees then completed a comprehensive, menu-driven, computer-based CE training module. The test module was then completed a second time and feedback was given. Expert performance on the test module was benchmarked by 4 CE experts. The first measure was the difference in baseline performance on the test module between trainees and experts (to determine construct validity). The second measure was a change in performance on the test module after training (to determine content validity of the training module). A significant difference was noted in baseline performance (P < .001) among CE experts (mean 73.8% +/- 8.0%), gastroenterology trainees (49.5% +/- 10.9%), and medical students (29.5% +/- 3.3%). Performance improved significantly (P < .001) in both trainee groups after training (gastroenterology trainees' posttraining score 62.1% +/- 7.7%; medical students' 46.7% +/- 6.8%). Computer-based learning has a potentially significant role in the development of a training syllabus for CE and in CE accreditation.