| Literature DB >> 29264771 |
Luca Sessa1, Cyril Perrenot2, Song Xu2, Jacques Hubert2, Laurent Bresler3, Laurent Brunaud3, Manuela Perez2.
Abstract
In robotic surgery, the coordination between the console-side surgeon and bed-side assistant is crucial, more than in standard surgery or laparoscopy where the surgical team works in close contact. Xperience™ Team Trainer (XTT) is a new optional component for the dv-Trainer® platform and simulates the patient-side working environment. We present preliminary results for face, content, and the workload imposed regarding the use of the XTT virtual reality platform for the psychomotor and communication skills training of the bed-side assistant in robot-assisted surgery. Participants were categorized into "Beginners" and "Experts". They tested a series of exercises (Pick & Place Laparoscopic Demo, Pick & Place 2 and Team Match Board 1) and completed face validity questionnaires. "Experts" assessed content validity on another questionnaire. All the participants completed a NASA Task Load Index questionnaire to assess the workload imposed by XTT. Twenty-one consenting participants were included (12 "Beginners" and 9 "Experts"). XTT was shown to possess face and content validity, as evidenced by the rankings given on the simulator's ease of use and realism parameters and on the simulator's usefulness for training. Eight out of nine "Experts" judged the visualization of metrics after the exercises useful. However, face validity has shown some weaknesses regarding interactions and instruments. Reasonable workload parameters were registered. XTT demonstrated excellent face and content validity with acceptable workload parameters. XTT could become a useful tool for robotic surgery team training.Entities:
Keywords: Bed-assistant training; First-assistant training; Robotic surgery simulation; Surgical education; Xperience Team Trainer; dv-Trainer
Mesh:
Year: 2017 PMID: 29264771 DOI: 10.1007/s13304-017-0509-x
Source DB: PubMed Journal: Updates Surg ISSN: 2038-131X