Literature DB >> 28585104

Can teenage novel users perform as well as General Surgery residents upon initial exposure to a robotic surgical system simulator?

A Mehta1,2, S Patel3, W Robison1,2, T Senkowski1, J Allen1, E Shaw1,2, C Senkowski1,2.   

Abstract

New techniques in minimally invasive and robotic surgical platforms require staged curricula to insure proficiency. Scant literature exists as to how much simulation should play a role in training those who have skills in advanced surgical technology. The abilities of novel users may help discriminate if surgically experienced users should start at a higher simulation level or if the tasks are too rudimentary. The study's purpose is to explore the ability of General Surgery residents to gain proficiency on the dVSS as compared to novel users. The hypothesis is that Surgery residents will have increased proficiency in skills acquisition as compared to naive users. Six General Surgery residents at a single institution were compared with six teenagers using metrics measured by the dVSS. Participants were given two 1-h sessions to achieve an MScoreTM in the 90th percentile on each of the five simulations. MScoreTM software compiles a variety of metrics including total time, number of attempts, and high score. Statistical analysis was run using Student's t test. Significance was set at p value <0.05. Total time, attempts, and high score were compared between the two groups. The General Surgery residents took significantly less Total Time to complete Pegboard 1 (PB1) (p = 0.043). No significant difference was evident between the two groups in the other four simulations across the same MScoreTM metrics. A focused look at the energy dissection task revealed that overall score might not be discriminant enough. Our findings indicate that prior medical knowledge or surgical experience does not significantly impact one's ability to acquire new skills on the dVSS. It is recommended that residency-training programs begin to include exposure to robotic technology.

Entities:  

Keywords:  Novel users; Resident performance; Robotic simulator; Robotic training; dVSS; da Vinci Surgical Simulator

Mesh:

Year:  2017        PMID: 28585104     DOI: 10.1007/s11701-017-0715-z

Source DB:  PubMed          Journal:  J Robot Surg        ISSN: 1863-2483


  20 in total

1.  Robotically-assisted laparoscopic radical prostatectomy.

Authors:  J Binder; W Kramer
Journal:  BJU Int       Date:  2001-03       Impact factor: 5.588

2.  Training to maintain surgical skills during periods of robotic surgery inactivity.

Authors:  Loredana M Guseila; Archana Saranathan; Eric L Jenison; Karen M Gil; John J Elias
Journal:  Int J Med Robot       Date:  2013-12-19       Impact factor: 2.547

3.  Do laparoscopic skills transfer to robotic surgery?

Authors:  Lucian Panait; Shohan Shetty; Patricia A Shewokis; Juan A Sanchez
Journal:  J Surg Res       Date:  2013-10-12       Impact factor: 2.192

4.  Contribution of laparoscopic training to robotic proficiency.

Authors:  Jordan Angell; Michael S Gomez; Mirza M Baig; Ronney Abaza
Journal:  J Endourol       Date:  2013-06-12       Impact factor: 2.942

5.  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

6.  Retention of laparoscopic and robotic skills among medical students: a randomized controlled trial.

Authors:  Megan S Orlando; Lauren Thomaier; Melinda G Abernethy; Chi Chiung Grace Chen
Journal:  Surg Endosc       Date:  2017-01-11       Impact factor: 4.584

7.  da Vinci Skills Simulator construct validation study: correlation of prior robotic experience with overall score and time score simulator performance.

Authors:  Kyle T Finnegan; Anoop M Meraney; Ilene Staff; Steven J Shichman
Journal:  Urology       Date:  2012-06-15       Impact factor: 2.649

Review 8.  Best practices for robotic surgery training and credentialing.

Authors:  Jason Y Lee; Phillip Mucksavage; Chandru P Sundaram; Elspeth M McDougall
Journal:  J Urol       Date:  2011-02-22       Impact factor: 7.450

Review 9.  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

10.  Robotic surgical skills: acquisition, maintenance, and degradation.

Authors:  Eric L Jenison; Karen M Gil; Thomas S Lendvay; Michael S Guy
Journal:  JSLS       Date:  2012 Apr-Jun       Impact factor: 2.172

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  2 in total

1.  The effects of gender, age, and videogame experience on performance and experiences with a surgical robotic arm: an exploratory study with general public.

Authors:  Selen Türkay; Kate Letheren; Ross Crawford; Jonathan Roberts; Anjali Tumkur Jaiprakash
Journal:  J Robot Surg       Date:  2021-07-27

2.  Cognitive training for robotic surgery: a chance to optimize surgical training? A pilot study.

Authors:  Sandra Schönburg; Petra Anheuser; Jennifer Kranz; Paolo Fornara; Viktor Oubaid
Journal:  J Robot Surg       Date:  2020-11-13
  2 in total

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