Face, content and construct validity of a virtual reality simulator for robotic surgery (SEP Robot)
Identifieur interne : 001C74 ( Ncbi/Curation ); précédent : 001C73; suivant : 001C75Face, content and construct validity of a virtual reality simulator for robotic surgery (SEP Robot)
Auteurs : Andrea Gavazzi [Royaume-Uni, Italie] ; Ali N. Bahsoun [Royaume-Uni] ; Wim Van Haute [Belgique] ; Kamran Ahmed [Royaume-Uni] ; Oussama Elhage [Royaume-Uni] ; Peter Jaye ; M Shamim Khan [Royaume-Uni] ; Prokar Dasgupta [Royaume-Uni]Source :
- Annals of The Royal College of Surgeons of England [ 0035-8843 ] ; 2011.
Abstract
This study aims to establish face, content and construct validation of the SEP Robot (SimSurgery, Oslo, Norway) in order to determine its value as a training tool.
The tasks used in the validation of this simulator were arrow manipulation and performing a surgeon's knot. Thirty participants (18 novices, 12 experts) completed the procedures.
The simulator was able to differentiate between experts and novices in several respects. The novice group required more time to complete the tasks than the expert group, especially suturing. During the surgeon's knot exercise, experts significantly outperformed novices in maximum tightening stretch, instruments dropped, maximum winding stretch and tool collisions in addition to total task time. A trend was found towards the use of less force by the more experienced participants.
The SEP robotic simulator has demonstrated face, content and construct validity as a virtual reality simulator for robotic surgery. With steady increase in adoption of robotic surgery world-wide, this simulator may prove to be a valuable adjunct to clinical mentorship.
Url:
DOI: 10.1308/003588411X12851639108358
PubMed: 22041146
PubMed Central: 3293312
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PMC:3293312Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec><title>INTRODUCTION</title>
<p>This study aims to establish face, content and construct validation of the SEP Robot (SimSurgery, Oslo, Norway) in order to determine its value as a training tool.</p>
</sec>
<sec><title>SUBJECTS AND METHODS</title>
<p>The tasks used in the validation of this simulator were arrow manipulation and performing a surgeon's knot. Thirty participants (18 novices, 12 experts) completed the procedures.</p>
</sec>
<sec><title>RESULTS</title>
<p>The simulator was able to differentiate between experts and novices in several respects. The novice group required more time to complete the tasks than the expert group, especially suturing. During the surgeon's knot exercise, experts significantly outperformed novices in maximum tightening stretch, instruments dropped, maximum winding stretch and tool collisions in addition to total task time. A trend was found towards the use of less force by the more experienced participants.</p>
</sec>
<sec><title>CONCLUSIONS</title>
<p>The SEP robotic simulator has demonstrated face, content and construct validity as a virtual reality simulator for robotic surgery. With steady increase in adoption of robotic surgery world-wide, this simulator may prove to be a valuable adjunct to clinical mentorship.</p>
</sec>
</div>
</front>
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