Performance of medical students on a virtual reality simulator for knee arthroscopy: an analysis of learning curves and predictors of performance
Identifieur interne : 004121 ( Ncbi/Checkpoint ); précédent : 004120; suivant : 004122Performance of medical students on a virtual reality simulator for knee arthroscopy: an analysis of learning curves and predictors of performance
Auteurs : Stefan Rahm [Suisse] ; Karl Wieser [Suisse] ; Ilhui Wicki [Suisse] ; Livia Holenstein [Suisse] ; Sandro F. Fucentese [Suisse] ; Christian Gerber [Suisse]Source :
- BMC Surgery [ 1471-2482 ] ; 2016.
Abstract
Ethical concerns for surgical training on patients, limited working hours with fewer cases per trainee and the potential to better select talented persons for arthroscopic surgery raise the interest in simulator training for arthroscopic surgery. It was the purpose of this study to analyze learning curves of novices using a knee arthroscopy simulator and to correlate their performance with potentially predictive factors.
Twenty medical students completed visuospatial tests and were then subjected to a simulator training program of eight 30 min sessions. Their test results were quantitatively correlated with their simulator performance at initiation, during and at the end of the program.
The mean arthroscopic performance score (z-score in points) at the eight test sessions were 1. -35 (range, -126 to -5) points, 2. -16 (range, -30 to -2), 3. -11 (range, -35 to 4), 4. -3 (range, -16 to 5), 5. -2 (range, -28 to 7), 6. 1 (range, -18 to 8), 7. 2 (range, -9 to 8), 8. 2 (range, -4 to 7). Scores improved significantly from sessions 1 to 2 (
Novices improve significantly within four 30 min test virtual arthroscopy knee simulator training but not thereafter within the setting studied. No factors, predicting talent or speed and magnitude of improvement of skills could be identified.
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DOI: 10.1186/s12893-016-0129-2
PubMed: 27015842
PubMed Central: 4807575
Affiliations:
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Fucentese</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Orthopaedic Department, Balgrist University Hospital, University of Zurich, Forchstrasse 340, CH-8008 Zurich, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Orthopaedic Department, Balgrist University Hospital, University of Zurich, Forchstrasse 340, CH-8008 Zurich</wicri:regionArea><wicri:noRegion>CH-8008 Zurich</wicri:noRegion></affiliation></author><author><name sortKey="Gerber, Christian" sort="Gerber, Christian" uniqKey="Gerber C" first="Christian" last="Gerber">Christian Gerber</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Orthopaedic Department, Balgrist University Hospital, University of Zurich, Forchstrasse 340, CH-8008 Zurich, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Orthopaedic Department, Balgrist University Hospital, University of Zurich, Forchstrasse 340, CH-8008 Zurich</wicri:regionArea><wicri:noRegion>CH-8008 Zurich</wicri:noRegion></affiliation></author></analytic><series><title level="j">BMC Surgery</title><idno type="eISSN">1471-2482</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Ethical concerns for surgical training on patients, limited working hours with fewer cases per trainee and the potential to better select talented persons for arthroscopic surgery raise the interest in simulator training for arthroscopic surgery. It was the purpose of this study to analyze learning curves of novices using a knee arthroscopy simulator and to correlate their performance with potentially predictive factors.</p></sec><sec><title>Methods</title><p>Twenty medical students completed visuospatial tests and were then subjected to a simulator training program of eight 30 min sessions. Their test results were quantitatively correlated with their simulator performance at initiation, during and at the end of the program.</p></sec><sec><title>Results</title><p>The mean arthroscopic performance score (z-score in points) at the eight test sessions were 1. -35 (range, -126 to -5) points, 2. -16 (range, -30 to -2), 3. -11 (range, -35 to 4), 4. -3 (range, -16 to 5), 5. -2 (range, -28 to 7), 6. 1 (range, -18 to 8), 7. 2 (range, -9 to 8), 8. 2 (range, -4 to 7). Scores improved significantly from sessions 1 to 2 (<italic>p</italic> = 0.001), 2 to 3 (<italic>p</italic> = 0.052) and 3 to 4 (<italic>p</italic> = 0.001) but not thereafter. None of the investigated parameters predicted performance or development of arthroscopic performance.</p></sec><sec><title>Conclusion</title><p>Novices improve significantly within four 30 min test virtual arthroscopy knee simulator training but not thereafter within the setting studied. No factors, predicting talent or speed and magnitude of improvement of skills could be identified.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Zuckerman, Jd" uniqKey="Zuckerman J">JD Zuckerman</name></author><author><name sortKey="Kubiak, En" uniqKey="Kubiak E">EN Kubiak</name></author><author><name sortKey="Immerman, I" uniqKey="Immerman I">I Immerman</name></author><author><name sortKey="Dicesare, P" uniqKey="Dicesare P">P Dicesare</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hall, Mp" uniqKey="Hall M">MP Hall</name></author><author><name sortKey="Kaplan, Km" uniqKey="Kaplan K">KM Kaplan</name></author><author><name sortKey="Gorczynski, Ct" uniqKey="Gorczynski C">CT Gorczynski</name></author><author><name sortKey="Zuckerman, Jd" uniqKey="Zuckerman J">JD Zuckerman</name></author><author><name sortKey="Rosen, Je" uniqKey="Rosen J">JE 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name="Suisse"><noRegion><name sortKey="Rahm, Stefan" sort="Rahm, Stefan" uniqKey="Rahm S" first="Stefan" last="Rahm">Stefan Rahm</name></noRegion><name sortKey="Fucentese, Sandro F" sort="Fucentese, Sandro F" uniqKey="Fucentese S" first="Sandro F." last="Fucentese">Sandro F. Fucentese</name><name sortKey="Gerber, Christian" sort="Gerber, Christian" uniqKey="Gerber C" first="Christian" last="Gerber">Christian Gerber</name><name sortKey="Holenstein, Livia" sort="Holenstein, Livia" uniqKey="Holenstein L" first="Livia" last="Holenstein">Livia Holenstein</name><name sortKey="Wicki, Ilhui" sort="Wicki, Ilhui" uniqKey="Wicki I" first="Ilhui" last="Wicki">Ilhui Wicki</name><name sortKey="Wieser, Karl" sort="Wieser, Karl" uniqKey="Wieser K" first="Karl" last="Wieser">Karl Wieser</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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