Fellowship learning curve associated with completing a robotic assisted total laparoscopic hysterectomy

Abstract

Objective: To describe the learning curve associated with training fellows in completing robotic assisted total laparoscopic hysterectomies.

Methods: All patients scheduled to undergo a robotic procedure at our institution from 5/15/07 to 5/22/12 were identified. Fellow participation per procedure was documented. The learning curve of fellows for the time to complete a hysterectomy (from initiation of developing the retroperitoneal space to the completion of the colpotomy) was analyzed.

Results: Of the 1754 planned robotic cases, 1626 were completed robotically and 128 were converted to laparotomy. Fifty-seven fellows participated in 99.7% of the cases. Eleven gynecologic oncology fellows completed at least 1 robotic assisted total laparoscopic hysterectomy. From 7/7/08 to 5/21/12, 981 hysterectomies were completed robotically, 254 of these (25.9%) by the 11 fellows. Prior to completing a hysterectomy, the median number of hysterectomies in which a fellow participated was 16 (range, 11-40). Median amount of time for a fellow to complete a hysterectomy decreased from 60 min in 2009 (N=27 cases) to 31 min in 2011 (N=148 cases). Based on the recorded completion times in which the 11 fellows completed a hysterectomy, it required ~33 cases per fellow to be able to perform the hysterectomy and overcome the learning curve.

Conclusions: The learning curve associated with hysterectomy requires completion of ~33 cases by the fellow after an initial median experience of 16 cases. Our data suggest that a minimum of 50 total cases is required during fellowship to complete a robotic hysterectomy.

Keywords: Minimally invasive surgery; Robotic assisted laparoscopic hysterectomy; Total laparoscopic hysterectomy.