Literature DB >> 28281118

Evaluation of different time schedules in training with the Da Vinci simulator.

C Güldner1, A Orth1, P Dworschak2, I Diogo1, M Mandapathil1, A Teymoortash1, U Walliczek-Dworschak3.   

Abstract

BACKGROUND: This prospective study analyzed the effect of different time schedules in training on the main performance outcomes: overall score, time to complete, and economy of motion.
METHODS: The study was performed on the da Vinci Skills Simulator from December 2014 to April 2016. Forty robotic novices were randomized into two groups of 20 participants, which trained in the same three exercises but with different intervals between their training sessions. Each group performed training in Peg Board 1 in their first week, Match Board 2 in their second week, and Ring and Rail 2 in their third week. On their last day, Needle Targeting and Energy Dissection 2, for which no previous training had been received, were performed. Regarding the different training intervals, group 1 trained each exercise six times in a row once a week. Group 2 performed their training once a day for 5 days. Technical performance parameters were recorded by the Mimics simulator software for further analysis. In addition, the participants were asked to fill out a questionnaire concerning the robotics training.
RESULTS: Group 2 performed significantly better compared to group 1 in the main metrics in the more advanced exercises. For the easier exercises, the training frequency did not lead to significant differences in performance outcome. A significant skills gain was seen between the first and last training sessions for all exercises in both groups.
CONCLUSIONS: Performance in the final exercise NT was significantly better in group 2 than group 1. Regarding ED 2, no difference was found between the two groups. As the training of group 2 led to significantly better outcomes, we suggest that, especially for advanced exercises, it seems to be more favorable to perform training every day for a short period than to train once a week six times in a row.

Entities:  

Keywords:  Da Vinci skills simulator; Robotic surgery; Robotic surgical education; Training interval

Mesh:

Year:  2017        PMID: 28281118     DOI: 10.1007/s00464-017-5460-x

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  23 in total

1.  Validation study of a virtual reality robotic simulator--role as an assessment tool?

Authors:  Jason Y Lee; Phillip Mucksavage; David C Kerbl; Victor B Huynh; Mohamed Etafy; Elspeth M McDougall
Journal:  J Urol       Date:  2012-01-20       Impact factor: 7.450

Review 2.  Training and learning robotic surgery, time for a more structured approach: a systematic review.

Authors:  H W R Schreuder; R Wolswijk; R P Zweemer; M P Schijven; R H M Verheijen
Journal:  BJOG       Date:  2011-10-10       Impact factor: 6.531

3.  Virtual reality robotic surgery simulation curriculum to teach robotic suturing: a randomized controlled trial.

Authors:  Daniel J Kiely; Walter H Gotlieb; Susie Lau; Xing Zeng; Vanessa Samouelian; Agnihotram V Ramanakumar; Helena Zakrzewski; Sonya Brin; Shannon A Fraser; Pira Korsieporn; Laura Drudi; Joshua Z Press
Journal:  J Robot Surg       Date:  2015-05-16

4.  A virtual reality training program for improvement of robotic surgical skills.

Authors:  M Mukherjee; K-C Siu; I H Suh; A Klutman; D Oleynikov; N Stergiou
Journal:  Stud Health Technol Inform       Date:  2009

Review 5.  Simulation in surgery: opportunity or threat?

Authors:  A G Gallagher; O Traynor
Journal:  Ir J Med Sci       Date:  2008-11-08       Impact factor: 1.568

6.  Validation, correlation, and comparison of the da Vinci trainer(™) and the daVinci surgical skills simulator(™) using the Mimic(™) software for urologic robotic surgical education.

Authors:  Michael A Liss; Corollos Abdelshehid; Stephen Quach; Achim Lusch; Joseph Graversen; Jaime Landman; Elspeth M McDougall
Journal:  J Endourol       Date:  2012-10-02       Impact factor: 2.942

7.  Warm-up in a virtual reality environment improves performance in the operating room.

Authors:  Dan Calatayud; Sonal Arora; Rajesh Aggarwal; Irina Kruglikova; Svend Schulze; Peter Funch-Jensen; Teodor Grantcharov
Journal:  Ann Surg       Date:  2010-06       Impact factor: 12.969

8.  Virtual reality robotic surgical simulation: an analysis of gynecology trainees.

Authors:  Sangini S Sheth; Amanda N Fader; Ana I Tergas; Christina L Kushnir; Isabel C Green
Journal:  J Surg Educ       Date:  2013-07-12       Impact factor: 2.891

9.  Validation of the da Vinci Surgical Skill Simulator across three surgical disciplines: A pilot study.

Authors:  Tarek Alzahrani; Richard Haddad; Abdullah Alkhayal; Josée Delisle; Laura Drudi; Walter Gotlieb; Shannon Fraser; Simon Bergman; Frank Bladou; Sero Andonian; Maurice Anidjar
Journal:  Can Urol Assoc J       Date:  2013 Jul-Aug       Impact factor: 1.862

10.  A pilot study of surgical training using a virtual robotic surgery simulator.

Authors:  Ana I Tergas; Sangini B Sheth; Isabel C Green; Robert L Giuntoli; Abigail D Winder; Amanda N Fader
Journal:  JSLS       Date:  2013 Apr-Jun       Impact factor: 2.172

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