Literature DB >> 29264771

Face and content validity of Xperience™ Team Trainer: bed-side assistant training simulator for robotic surgery.

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


  16 in total

1.  Skill transfer from virtual reality to a real laparoscopic task.

Authors:  J Torkington; S G Smith; B I Rees; A Darzi
Journal:  Surg Endosc       Date:  2001-10       Impact factor: 4.584

2.  Fundamental principles of validation, and reliability: rigorous science for the assessment of surgical education and training.

Authors:  A G Gallagher; E M Ritter; R M Satava
Journal:  Surg Endosc       Date:  2003-09-19       Impact factor: 4.584

3.  The virtual reality simulator dV-Trainer(®) is a valid assessment tool for robotic surgical skills.

Authors:  Cyril Perrenot; Manuela Perez; Nguyen Tran; Jean-Philippe Jehl; Jacques Felblinger; Laurent Bresler; Jacques Hubert
Journal:  Surg Endosc       Date:  2012-04-05       Impact factor: 4.584

4.  Validation of surgical simulators.

Authors:  Elspeth M McDougall
Journal:  J Endourol       Date:  2007-03       Impact factor: 2.942

5.  Surgical skills training and simulation.

Authors:  Shawn Tsuda; Daniel Scott; Jennifer Doyle; Daniel B Jones
Journal:  Curr Probl Surg       Date:  2009-04       Impact factor: 1.909

6.  Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery.

Authors:  Patrick A Kenney; Matthew F Wszolek; Justin J Gould; John A Libertino; Alireza Moinzadeh
Journal:  Urology       Date:  2009-04-10       Impact factor: 2.649

7.  Simulation-based training for bedside assistants can benefit experienced robotic prostatectomy teams.

Authors:  David D Thiel; Amy Lannen; Eugene Richie; Jesse Dove; Nikunj M Gajarawala; Todd C Igel
Journal:  J Endourol       Date:  2012-10-10       Impact factor: 2.942

8.  Multifactorial analysis of the learning curve for totally robotic Roux-en-Y gastric bypass for morbid obesity.

Authors:  Myriam Renaud; Nicolas Reibel; Rasa Zarnegar; Adeline Germain; Didier Quilliot; Ahmet Ayav; Laurent Bresler; Laurent Brunaud
Journal:  Obes Surg       Date:  2013-11       Impact factor: 4.129

9.  Risk Factors for Postoperative Morbidity After Totally Robotic Gastric Bypass in 302 Consecutive Patients.

Authors:  G Fantola; P L Nguyen-Thi; N Reibel; M A Sirveaux; A Germain; A Ayav; L Bresler; R Zarnegar; L Brunaud
Journal:  Obes Surg       Date:  2015-07       Impact factor: 4.129

Review 10.  Robotic surgical skill acquisition: What one needs to know?

Authors:  Akshay Sood; Wooju Jeong; Rajesh Ahlawat; Logan Campbell; Shruti Aggarwal; Mani Menon; Mahendra Bhandari
Journal:  J Minim Access Surg       Date:  2015 Jan-Mar       Impact factor: 1.407

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  3 in total

1.  Face and content validity of Xperience Team Trainer: bed-side assistant training simulator for robotic surgery.

Authors:  Andrea Moglia
Journal:  Updates Surg       Date:  2018-02-14

2.  Implementation of a standardized robotic assistant surgical training curriculum.

Authors:  Jill M Collins; Danielle S Walsh; John Hudson; Shakira Henderson; Julie Thompson; Michael Zychowicz
Journal:  J Robot Surg       Date:  2021-08-26

3.  Three Different Learning Curves Have an Independent Impact on Perioperative Outcomes After Robotic Partial Nephrectomy: A Comparative Analysis.

Authors:  Philip Zeuschner; Irmengard Meyer; Stefan Siemer; Michael Stoeckle; Gudrun Wagenpfeil; Stefan Wagenpfeil; Matthias Saar; Martin Janssen
Journal:  Ann Surg Oncol       Date:  2020-07-24       Impact factor: 5.344

  3 in total

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