Document Detail


Face, content, and construct validation of the da Vinci Skills Simulator.
MedLine Citation:
PMID:  22546387     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To report on assessments of face, content, and construct validity for the commercially available da Vinci Skills Simulator (dVSS).
METHODS: A total of 38 subjects participated in this prospective study. Participants were classified as novice (0 robotic cases performed), intermediate (1-74 robotic cases), or expert (≥ 75 robotic cases). Each subject completed 5 exercises. Using the metrics available in the simulator software, the performances of each group were compared to evaluate construct validation. Immediately after completion of the exercises, each subject completed a questionnaire to evaluate face and content validation.
RESULTS: The novice group consisted of 18 medical students and 1 resident. The intermediate group included 6 residents, 1 fellow, and 2 faculty urologist. The expert group consisted of 2 residents, 1 fellow, and 7 faculty surgeons. The mean number of robotic cases performed by the intermediate and expert groups was 29.2 and 233.4, respectively. An overall significant difference was observed in favor of the more experienced group in 4 skill sets. When intermediates and experts were combined into a single "experienced" group, they significantly outperformed novices in all 5 exercises. Intermediates and experts rated various elements of the simulators realism at an average of 4.1/5 and 4.3/5, respectively. All intermediate and expert participants rated the simulator's value as a training tool as 4/5 or 5/5.
CONCLUSION: Our study supports the face, content, and construct validation attributed to the dVSS. These results indicate that the simulator may be most useful to novice surgeons seeking basic robot skills acquisition.
Authors:
Douglas C Kelly; Andrew C Margules; Chandan R Kundavaram; Hadley Narins; Leonard G Gomella; Edouard J Trabulsi; Costas D Lallas
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Validation Studies    
Journal Detail:
Title:  Urology     Volume:  79     ISSN:  1527-9995     ISO Abbreviation:  Urology     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-05-01     Completed Date:  2012-07-02     Revised Date:  2013-09-21    
Medline Journal Info:
Nlm Unique ID:  0366151     Medline TA:  Urology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1068-72     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier Inc. All rights reserved.
Affiliation:
Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA.
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MeSH Terms
Descriptor/Qualifier:
Clinical Competence*
Computer Simulation*
Education, Medical, Graduate / methods*
Humans
Prospective Studies
Questionnaires
Robotics*
Surgical Procedures, Minimally Invasive / education*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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