Computer-aided learning in capsule endoscopy leads to improvement in lesion recognition ability - 23/08/11
Reprint requests: Chris Fraser, MBChB, MD, Consultant Gastroenterologist, Honorary Senior Lecturer, Wolfson Endoscopy Unit, Imperial College London, St. Mark’s Hospital, London HA1 3UJ, United Kingdom.London, United Kingdom
Abstract |
Background |
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.
Objective |
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.
Design |
This was a prospective educational evaluation study.
Setting |
Academic endoscopy unit.
Patients |
This study involved 28 trainees of varying CE experience (medical students, gastroenterology trainees) and 4 CE experts.
Intervention |
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.
Main Outcome Measurements |
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).
Results |
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%).
Conclusion |
Computer-based learning has a potentially significant role in the development of a training syllabus for CE and in CE accreditation.
Il testo completo di questo articolo è disponibile in PDF.Abbreviations : CE, IQR, SD
Mappa
| DISCLOSURE: All authors disclosed no financial relationships relevant to this publication. |
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| If you want to chat with an author of this article, you may contact them at apostgate@yahoo.com or chris.fraser@imperial.ac.uk. |
Vol 70 - N° 2
P. 310-316 - agosto 2009 Ritorno al numero
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