Development and evaluation of cesarean section surgical training using computer-enhanced visual learning
Sloane L York1, Max Maizels, Elaine Cohen
1Rush University Medical Center, Chicago, IL , USA .
Background:
Skilled performance of cesarean deliveries is essential in obstetrics and gynecology residency. A computer-enhanced visual learning module (CEVL Cesarean) was developed to teach cesarean deliveries.
Methods:
An online module presented cesarean deliveries as a series of components using text, audio, video and animation. First-year residents used CEVL Cesarean and were evaluated intra-operatively by trained raters, then provided feedback about surgical performance. Clinical outcomes were collected for approximately 50 cesarean deliveries for each resident.
Results:
From 2010 to 2011, 12 first-year residents participated in the study. About 406 unique observed cesarean deliveries were analyzed. Procedures up to each resident's 70th case were analyzed by grouping cases in 10 s (cases 1-10 and 11-20), or deciles. Resident performance significantly improved by decile [χ(2)(6) = 47.56, p < 0.001]. When examining each resident's performance, surgical skill acquisition plateaued by cases 21-30. Procedural performance, independent of resident, also improved significantly by decile [χ(2)(6) = 186.95, p < 0.001], plateauing by decile 4 (cases 31-40). Throughout the observation period, operative time decreased by 3.84 min (p = 0.006).
Conclusions:
Pre-clinical teaching using computer-based modules for cesarean sections is feasible to develop. Novice surgeons required at least 30 procedures before performing the procedure competently. When residents performed competently, operative time and complications decreased.
