Literature DB >> 29603003

Validity evidence for procedural competency in virtual reality robotic simulation, establishing a credible pass/fail standard for the vaginal cuff closure procedure.

Lisette Hvid Hovgaard1,2, Steven Arild Wuyts Andersen3,4, Lars Konge5,3, Torur Dalsgaard6, Christian Rifbjerg Larsen7,5.   

Abstract

BACKGROUND: The use of robotic surgery for minimally invasive procedures has increased considerably over the last decade. Robotic surgery has potential advantages compared to laparoscopic surgery but also requires new skills. Using virtual reality (VR) simulation to facilitate the acquisition of these new skills could potentially benefit training of robotic surgical skills and also be a crucial step in developing a robotic surgical training curriculum. The study's objective was to establish validity evidence for a simulation-based test for procedural competency for the vaginal cuff closure procedure that can be used in a future simulation-based, mastery learning training curriculum.
METHODS: Eleven novice gynaecological surgeons without prior robotic experience and 11 experienced gynaecological robotic surgeons (> 30 robotic procedures) were recruited. After familiarization with the VR simulator, participants completed the module 'Guided Vaginal Cuff Closure' six times. Validity evidence was investigated for 18 preselected simulator metrics. The internal consistency was assessed using Cronbach's alpha and a composite score was calculated based on metrics with significant discriminative ability between the two groups. Finally, a pass/fail standard was established using the contrasting groups' method.
RESULTS: The experienced surgeons significantly outperformed the novice surgeons on 6 of the 18 metrics. The internal consistency was 0.58 (Cronbach's alpha). The experienced surgeons' mean composite score for all six repetitions were significantly better than the novice surgeons' (76.1 vs. 63.0, respectively, p < 0.001). A pass/fail standard of 75/100 was established. Four novice surgeons passed this standard (false positives) and three experienced surgeons failed (false negatives).
CONCLUSION: Our study has gathered validity evidence for a simulation-based test for procedural robotic surgical competency in the vaginal cuff closure procedure and established a credible pass/fail standard for future proficiency-based training.

Entities:  

Keywords:  Assessment; Gynaecology; Proficiency-based training; Robotic surgery; Virtual reality simulation

Mesh:

Year:  2018        PMID: 29603003     DOI: 10.1007/s00464-018-6165-5

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


  40 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

Review 3.  Non-technical skills for surgeons in the operating room: a review of the literature.

Authors:  S Yule; R Flin; S Paterson-Brown; N Maran
Journal:  Surgery       Date:  2006-02       Impact factor: 3.982

4.  Fellowship learning curve associated with completing a robotic assisted total laparoscopic hysterectomy.

Authors:  Samith Sandadi; Jill A Gadzinski; Stephen Lee; Dennis S Chi; Yukio Sonoda; Elizabeth L Jewell; Carol L Brown; Ginger J Gardner; Richard R Barakat; Mario M Leitao
Journal:  Gynecol Oncol       Date:  2013-11-18       Impact factor: 5.482

Review 5.  Superiority of robotic surgery for cervical cancer in comparison with traditional approaches: A systematic review and meta-analysis.

Authors:  Zhongyu Liu; Xiuli Li; Shuang Tian; Tongyu Zhu; Yuanqing Yao; Ye Tao
Journal:  Int J Surg       Date:  2017-02-24       Impact factor: 6.071

Review 6.  Robotic surgery: colon and rectum.

Authors:  Seong Kyu Baek; Joseph C Carmichael; Alessio Pigazzi
Journal:  Cancer J       Date:  2013 Mar-Apr       Impact factor: 3.360

7.  Proficiency training on a virtual reality robotic surgical skills curriculum.

Authors:  Justin Bric; Michael Connolly; Andrew Kastenmeier; Matthew Goldblatt; Jon C Gould
Journal:  Surg Endosc       Date:  2014-06-20       Impact factor: 4.584

8.  Learning Curves of Virtual Mastoidectomy in Distributed and Massed Practice.

Authors:  Steven Arild Wuyts Andersen; Lars Konge; Per Cayé-Thomasen; Mads Sølvsten Sørensen
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2015-10       Impact factor: 6.223

9.  A detailed analysis of the learning curve: robotic hysterectomy and pelvic-aortic lymphadenectomy for endometrial cancer.

Authors:  Leigh G Seamon; Jeffrey M Fowler; Debra L Richardson; Matthew J Carlson; Sue Valmadre; Gary S Phillips; David E Cohn
Journal:  Gynecol Oncol       Date:  2009-05-09       Impact factor: 5.482

Review 10.  An over-view of robot assisted surgery curricula and the status of their validation.

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

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  6 in total

Review 1.  Review of automated performance metrics to assess surgical technical skills in robot-assisted laparoscopy.

Authors:  Sonia Guerin; Arnaud Huaulmé; Vincent Lavoue; Pierre Jannin; Krystel Nyangoh Timoh
Journal:  Surg Endosc       Date:  2021-11-08       Impact factor: 4.584

2.  Efficiency and Accuracy of Robotic Surgical Performance Decayed Among Urologists During COVID-19 Shutdown.

Authors:  Balint Der; Daniel Sanford; Ryan Hakim; Erik Vanstrum; Jessica H Nguyen; Andrew J Hung
Journal:  J Endourol       Date:  2020-12-11       Impact factor: 2.619

3.  Training benchmarks based on validated composite scores for the RobotiX robot-assisted surgery simulator on basic tasks.

Authors:  Erik Leijte; Linda Claassen; Elke Arts; Ivo de Blaauw; Camiel Rosman; Sanne M B I Botden
Journal:  J Robot Surg       Date:  2020-04-20

4.  Using a 360° Virtual Reality or 2D Video to Learn History Taking and Physical Examination Skills for Undergraduate Medical Students: Pilot Randomized Controlled Trial.

Authors:  Yi-Ping Chao; Hai-Hua Chuang; Li-Jen Hsin; Chung-Jan Kang; Tuan-Jen Fang; Hsueh-Yu Li; Chung-Guei Huang; Terry B J Kuo; Cheryl C H Yang; Hsin-Yih Shyu; Shu-Ling Wang; Liang-Yu Shyu; Li-Ang Lee
Journal:  JMIR Serious Games       Date:  2021-11-22       Impact factor: 4.143

5.  Robot assisted versus laparoscopic suturing learning curve in a simulated setting.

Authors:  Erik Leijte; Ivo de Blaauw; Frans Van Workum; Camiel Rosman; Sanne Botden
Journal:  Surg Endosc       Date:  2019-11-21       Impact factor: 4.584

6.  Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks.

Authors:  Erik Leijte; Ivo de Blaauw; Camiel Rosman; Sanne M B I Botden
Journal:  BMC Surg       Date:  2020-08-12       Impact factor: 2.102

  6 in total

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