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Authordc.contributor.authorPalet Bonell, Miguel 
Authordc.contributor.authorAntúnez Riveros, Marcela 
Authordc.contributor.authorBarahona Vásquez, Maximiliano 
Admission datedc.date.accessioned2021-08-24T13:14:07Z
Available datedc.date.available2021-08-24T13:14:07Z
Publication datedc.date.issued2021
Cita de ítemdc.identifier.citationCureus 13(5): e15237es_ES
Identifierdc.identifier.other10.7759/cureus.15237
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/181458
Abstractdc.description.abstractObjective Surgical techniques are learned gradually throughout an orthopedic residency. Training on real patients carries drawbacks such as limited access and elevated risk. Alternatively, surgical simulation allows residents to practice in a safe environment with greater access to standardized surgical tasks. Virtual reality simulators display images inside an artificial joint, often providing real-time haptic feedback to allow for realistic interaction. The objective of this study was to evaluate the construct validity of a virtual reality simulator for knee arthroscopy by analyzing the capacity of system parameters to distinguish between expert and novice surgeons. Design This comparative cross-sectional study contrasts the automated performance reports for novice and expert orthopedic surgeons after executing surgical tasks on the ARTHRO Mentor virtual reality simulator. Setting Surgical simulation center at the University of Chile Clinical Hospital, Santiago, Chile. Participants The novice group consisted of 20 second-year orthopedic and traumatology residents at the University of Chile School of Medicine. The expert group consisted of 10 experienced arthroscopic surgeons. All participants carried out standardized tasks in the knee arthroscopy virtual reality simulator. The median performance scores of the two groups were compared, and multivariate logistic regression was performed to assess the capacity of the system to discriminate between the two groups. Results Median performance on the vast majority of surgical tasks was superior for the expert group. The expert group had performance values equal to or higher than the novice group on 43 of the 44 variables recorded for the basic tasks and 74 of the 75 advanced task variables. The multivariate logistic regression analysis discriminated expert from novice users with 100% accuracy. Conclusion The virtual reality simulator for knee arthroscopy showed good construct validity, with performance metrics accurately discriminating between expert and novice users.es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherCureuses_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Sourcedc.sourceCureuses_ES
Keywordsdc.subjectArthroscopyes_ES
Keywordsdc.subjectKneees_ES
Keywordsdc.subjectSimulation traininges_ES
Keywordsdc.subjectSurgical simulationes_ES
Keywordsdc.subjectVirtual realityes_ES
Títulodc.titleConstruct validity of a virtual reality simulator for surgical training in knee arthroscopyes_ES
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorapces_ES
Indexationuchile.indexArtículo de publicación ISIes_ES


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile