Song Xu1,2, Manuela Perez1,3, Cyril Perrenot1,3, Nicolas Hubert1,4, Jacques Hubert5,6. 1. IADI/Inserm U947, Lorraine University, Nancy, 54000, France. 2. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. 3. Department of Emergency and General Surgery, CHU Nancy, Nancy, 54000, France. 4. Department of Urology, Brabois Hospital, University Hospital of Nancy, Allée du Morvan, 54511, Vandoeuvre-les-Nancy, France. 5. IADI/Inserm U947, Lorraine University, Nancy, 54000, France. j.hubert@chu-nancy.fr. 6. Department of Urology, Brabois Hospital, University Hospital of Nancy, Allée du Morvan, 54511, Vandoeuvre-les-Nancy, France. j.hubert@chu-nancy.fr.
Abstract
OBJECTIVES: To determine the face, content, construct, and concurrent validity of the Xperience™ Team Trainer (XTT) as an assessment tool of robotic surgical bed-assistance skills. METHODS: Subjects were recruited during a robotic surgery curriculum. They were divided into three groups: the group RA with robotic bed-assistance experience, the group LS with laparoscopic surgical experience, and the control group without bed-assistance or laparoscopic experience. The subjects first performed two standard FLS exercises on a laparoscopic simulator for the assessment of basic laparoscopic skills. After that, they performed three virtual reality exercises on XTT, and then performed similar exercises on physical models on a da Vinci(®) box trainer. RESULTS:Twenty-eight persons volunteered for and completed the tasks. Most expert subjects agreed on the realism of XTT and the three exercises, and also their interest for teamwork and bed-assistant training. The group RA and the group LS demonstrated a similar level of basic laparoscopic skills. Both groups performed better than the control group on the XTT exercises (p < 0.05). The performance superiority of the group RA over LS was observed but not statistically significant. Correlation of performance was determined between the tests on XTT and on da Vinci(®) box trainer. CONCLUSIONS: The introduction of XTT facilitates the training of bedside assistants and emphasizes the importance of teamwork, which may change the paradigm of robotic surgery training in the near future. As an assessment tool of bed-assistance skills, XTT proves face, content, and concurrent validity. However, these results should be qualified considering the potential limitations of this exploratory study with a relatively small sample size. The training modules remain to be developed, and more complex and discriminative exercises are expected. Other studies will be needed to further determine construct validity in the future.
RCT Entities:
OBJECTIVES: To determine the face, content, construct, and concurrent validity of the Xperience™ Team Trainer (XTT) as an assessment tool of robotic surgical bed-assistance skills. METHODS: Subjects were recruited during a robotic surgery curriculum. They were divided into three groups: the group RA with robotic bed-assistance experience, the group LS with laparoscopic surgical experience, and the control group without bed-assistance or laparoscopic experience. The subjects first performed two standard FLS exercises on a laparoscopic simulator for the assessment of basic laparoscopic skills. After that, they performed three virtual reality exercises on XTT, and then performed similar exercises on physical models on a da Vinci(®) box trainer. RESULTS: Twenty-eight persons volunteered for and completed the tasks. Most expert subjects agreed on the realism of XTT and the three exercises, and also their interest for teamwork and bed-assistant training. The group RA and the group LS demonstrated a similar level of basic laparoscopic skills. Both groups performed better than the control group on the XTT exercises (p < 0.05). The performance superiority of the group RA over LS was observed but not statistically significant. Correlation of performance was determined between the tests on XTT and on da Vinci(®) box trainer. CONCLUSIONS: The introduction of XTT facilitates the training of bedside assistants and emphasizes the importance of teamwork, which may change the paradigm of robotic surgery training in the near future. As an assessment tool of bed-assistance skills, XTT proves face, content, and concurrent validity. However, these results should be qualified considering the potential limitations of this exploratory study with a relatively small sample size. The training modules remain to be developed, and more complex and discriminative exercises are expected. Other studies will be needed to further determine construct validity in the future.
Authors: Rebecca A Fisher; Prokar Dasgupta; Alex Mottrie; Alessandro Volpe; Mohammed S Khan; Ben Challacombe; Kamran Ahmed Journal: Int J Surg Date: 2014-12-06 Impact factor: 6.071
Authors: Domenico Soriero; Giulia Atzori; Fabio Barra; Davide Pertile; Andrea Massobrio; Luigi Conti; Dario Gusmini; Lorenzo Epis; Maurizio Gallo; Filippo Banchini; Patrizio Capelli; Veronica Penza; Stefano Scabini Journal: Int J Environ Res Public Health Date: 2020-01-02 Impact factor: 3.390