Abstract
Background: Robotic surgery simulation may provide a way for surgeons to acquire specific robotic surgical skills without practicing on live patients. Methods: Five robotic surgery experts performed 10 simulator skills to the best of their ability, and thus, established expert benchmarks for all parameters of these skills. A group of credentialed gynecologic surgeons naive to robotics practiced the simulator skills until they were able to perform each one as well as our experts. Within a week of doing so, they completed robotic pig laboratory training, after which they performed supracervical hysterectomies as their first-ever live human robotic surgery. Time, blood loss, and blinded assessments of surgical skill were compared among the experts, novices, and a group of control surgeons who had robotic privileges but no simulator exposure. Sample size estimates called for 11 robotic novices to achieve 90% power to detect a 1 SD difference between operative times of experts and novices (α = 0.05). Results: Fourteen novice surgeons completed the studyVspending an average of 20 hours (range, 9.7-38.2 hours) in the simulation laboratory to pass the expert protocol. The mean operative times for the expert and novices were 20.2 (2.3) and 21.7 (3.3) minutes, respectively (P = 0.12; 95% confidence interval, j1.7 to 4.7), whereas the mean time for control surgeons was 30.9 (0.6) minutes (P < 0.0001; 95% confidence interval, 6.3-12.3). Comparisons of estimated blood loss (EBL) and blinded video assessment of skill yielded similar differences between groups. Conclusions: Completing this protocol of robotic simulator skills translated to expert-level surgical times during live human surgery. As such, we have established predictive validity of this protocol.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 48-51 |
| Number of pages | 4 |
| Journal | Female Pelvic Medicine and Reconstructive Surgery |
| Volume | 20 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2014 |
| Externally published | Yes |
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All Science Journal Classification (ASJC) codes
- Surgery
- Obstetrics and Gynecology
- Urology
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Predictive validity of a training protocol using a robotic surgery simulator. / Culligan, Patrick; Gurshumov, Emil; Lewis, Christa; Priestley, Jennifer; Komar, Jodie; Salamon, Charbel.
In: Female Pelvic Medicine and Reconstructive Surgery, Vol. 20, No. 1, 01.01.2014, p. 48-51.Research output: Contribution to journal › Article
TY - JOUR
T1 - Predictive validity of a training protocol using a robotic surgery simulator
AU - Culligan, Patrick
AU - Gurshumov, Emil
AU - Lewis, Christa
AU - Priestley, Jennifer
AU - Komar, Jodie
AU - Salamon, Charbel
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Background: Robotic surgery simulation may provide a way for surgeons to acquire specific robotic surgical skills without practicing on live patients. Methods: Five robotic surgery experts performed 10 simulator skills to the best of their ability, and thus, established expert benchmarks for all parameters of these skills. A group of credentialed gynecologic surgeons naive to robotics practiced the simulator skills until they were able to perform each one as well as our experts. Within a week of doing so, they completed robotic pig laboratory training, after which they performed supracervical hysterectomies as their first-ever live human robotic surgery. Time, blood loss, and blinded assessments of surgical skill were compared among the experts, novices, and a group of control surgeons who had robotic privileges but no simulator exposure. Sample size estimates called for 11 robotic novices to achieve 90% power to detect a 1 SD difference between operative times of experts and novices (α = 0.05). Results: Fourteen novice surgeons completed the studyVspending an average of 20 hours (range, 9.7-38.2 hours) in the simulation laboratory to pass the expert protocol. The mean operative times for the expert and novices were 20.2 (2.3) and 21.7 (3.3) minutes, respectively (P = 0.12; 95% confidence interval, j1.7 to 4.7), whereas the mean time for control surgeons was 30.9 (0.6) minutes (P < 0.0001; 95% confidence interval, 6.3-12.3). Comparisons of estimated blood loss (EBL) and blinded video assessment of skill yielded similar differences between groups. Conclusions: Completing this protocol of robotic simulator skills translated to expert-level surgical times during live human surgery. As such, we have established predictive validity of this protocol.
AB - Background: Robotic surgery simulation may provide a way for surgeons to acquire specific robotic surgical skills without practicing on live patients. Methods: Five robotic surgery experts performed 10 simulator skills to the best of their ability, and thus, established expert benchmarks for all parameters of these skills. A group of credentialed gynecologic surgeons naive to robotics practiced the simulator skills until they were able to perform each one as well as our experts. Within a week of doing so, they completed robotic pig laboratory training, after which they performed supracervical hysterectomies as their first-ever live human robotic surgery. Time, blood loss, and blinded assessments of surgical skill were compared among the experts, novices, and a group of control surgeons who had robotic privileges but no simulator exposure. Sample size estimates called for 11 robotic novices to achieve 90% power to detect a 1 SD difference between operative times of experts and novices (α = 0.05). Results: Fourteen novice surgeons completed the studyVspending an average of 20 hours (range, 9.7-38.2 hours) in the simulation laboratory to pass the expert protocol. The mean operative times for the expert and novices were 20.2 (2.3) and 21.7 (3.3) minutes, respectively (P = 0.12; 95% confidence interval, j1.7 to 4.7), whereas the mean time for control surgeons was 30.9 (0.6) minutes (P < 0.0001; 95% confidence interval, 6.3-12.3). Comparisons of estimated blood loss (EBL) and blinded video assessment of skill yielded similar differences between groups. Conclusions: Completing this protocol of robotic simulator skills translated to expert-level surgical times during live human surgery. As such, we have established predictive validity of this protocol.
UR - http://www.scopus.com/inward/record.url?scp=84892383675&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892383675&partnerID=8YFLogxK
U2 - 10.1097/SPV.0000000000000045
DO - 10.1097/SPV.0000000000000045
M3 - Article
VL - 20
SP - 48
EP - 51
JO - Female Pelvic Medicine and Reconstructive Surgery
JF - Female Pelvic Medicine and Reconstructive Surgery
SN - 2151-8378
IS - 1
ER -