Development and validation of the metric-based assessment of a robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model
- PMID: 34383208
- DOI: 10.1007/s11701-021-01293-6
Development and validation of the metric-based assessment of a robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model
Abstract
The evolution of robotic technology and its diffusion does not seem to have been adequately accompanied by the development and implementation of surgeon training programs that ensure skilled and safe device use at the start of the learning curve. The objective of the study is to develop and validate performance metrics for vessel dissection, vessel loop positioning, clip applying and bipolar coagulation using an avian model. Three robotic surgeons and a behavioral scientist characterized the performance metrics of the task according to the proficiency-based progression methodology. Fourteen experienced robotic surgeons from different European countries participated in a modified online Delphi consensus. Eight experienced surgeons and eight novices performed the robotic task twice. In the Delphi meeting, 100% consensus was reached on the performance metrics. Novice surgeons took 26 min to complete the entire task on trial 1 and 20 min on trial 2. Experts took 10.1 min and 9.5 min. On average the Expert Group completed the task 137% faster than the Novice Group. The amount of time to reach the vessel part of the task was also calculated. Novice surgeons took 26 min on trial 1 and 20 min on trial 2. Experts took 5.5 min and 4.8 min. On average the experts reached the vessel 200% faster than the novices. The Expert Group made 155% fewer performance errors than the Novice Group. The mean IRR of video-recorded performance assessments for all metrics was 0.96 (95% confidence intervals (CI) lower = 0.94-upper = 0.98). We report the development and validation for a standard and replicable basic robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model. The development of objective performance metrics, based on a transparent and fair methodology (i.e., PBP), is the first fundamental step toward quality assured training. This task developed on the avian model proved to have good results in the validation study.
Keywords: Dissection skills; Proficiency-based metrics; Robotic surgical training; Training task validation.
© 2021. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
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References
-
- Yates DR, Vaessen C, Roupret M (2011) From Leonardo to da Vinci: the history of robot-assisted surgery in urology. BJU Int 108(11):1708–1713 (discussion 1714) - DOI
-
- Puliatti S, Elsherbiny A, Eissa A et al (2019) Effect of puboprostatic ligament reconstruction on continence recovery after robot-assisted laparoscopic prostatectomy: our initial experience. Minerva Urol Nefrol 71(3):230–239 - DOI
-
- Mazzone E, Dell’Oglio P, Rosiello G et al (2020) Technical refinements in superextended robot-assisted radical prostatectomy for locally advanced prostate cancer patients at multiparametric magnetic resonance imaging. Eur Urol 80(1):104–112 - DOI
-
- Nik-Ahd F, Souders CP, Zhao H et al (2019) Robotic urologic surgery: trends in litigation over the last decade. J Robot Surg 13(6):729–734 - DOI
-
- Alemzadeh H, Raman J, Leveson N et al (2016) Adverse events in robotic surgery: a retrospective study of 14 years of FDA data. PLoS One 11(4):e0151470 - DOI
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