Artigo Revisado por pares

Hybrid Augmented Reality Simulator: Preliminary Construct Validation of Laparoscopic Smoothness in a Urology Residency Program

2008; Lippincott Williams & Wilkins; Volume: 180; Issue: 4 Linguagem: Inglês

10.1016/j.juro.2008.06.042

ISSN

1527-3792

Autores

Andrew Feifer, J. Delisle, Maurice Anidjar,

Tópico(s)

Anatomy and Medical Technology

Resumo

No AccessJournal of UrologyAdult Urology1 Oct 2008Hybrid Augmented Reality Simulator: Preliminary Construct Validation of Laparoscopic Smoothness in a Urology Residency Program Andrew Feifer, Josee Delisle, and Maurice Anidjar Andrew FeiferAndrew Feifer , Josee DelisleJosee Delisle , and Maurice AnidjarMaurice Anidjar View All Author Informationhttps://doi.org/10.1016/j.juro.2008.06.042AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: We examined the usefulness, reliability and applicability of the smoothness metric of the ProMIS hybrid simulator (Haptica, Dublin, Ireland) for a urology residency program. Materials and Methods: A total of 15 urology residents divided into junior and senior cohorts were followed prospectively for 6 training sessions. Validated McGill Inanimate System for Training and Evaluation of Laparoscopic Skills (MISTELS) laparoscopic tasks were used. The ProMIS hybrid simulator smoothness parameter, a unit-free metric of movement efficiency, was recorded using 3-dimensional visual tracking technology. Results were compared between cohorts at the midpoint and end of the defined training sessions. End of study junior means were also retrospectively compared to senior mid training means. Statistical significance was determined using the Mann-Whitney U test (α = 0.05). Results: Statistically significant differences between 8 junior and 7 senior cohorts were measured in all MISTELS tasks. A statistically significant performance variation was also detected at the mid and end testing times. When juniors and seniors were compared between sessions 1 and 3, and 4 and 6, statistically significant performance improvements were noted. Lastly, statistical differences were also maintained when mid session senior means were compared to end of session junior means. A 38% improvement in task completion in the senior cohort as well as a 10-fold decrease in variance was observed compared to a 12% improvement in juniors, indicating greater efficiency of movement in seniors. Conclusions: The laparoscopic smoothness metric in the hybrid simulator demonstrated construct validity by effectively differentiating between experienced and novice urology residents using validated MISTELS tasks. The outcome suggests that the hybrid simulator smoothness metric is a valuable asset in residency programs for preparatory training for live operative experience, allowing improved trainee assessment. References 1 : Virtual environments for training critical skills in laparoscopic surgery. Stud Health Technol Inform1998; 50: 316. Google Scholar 2 : Surgical handicraft: teaching and learning surgical skills. Am J Surg1987; 153: 422. Google Scholar 3 : The MISTELS program to measure technical skill in laparoscopic surgery: evidence for reliability. 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Google Scholar 19 : Laboratory-based validation of novel suture technique for wound closure. Ann Plast Surg2002; 49: 291. Google Scholar Division of Urology, Department of Surgery, Bernstein Center for Minimally Invasive Surgery, McGill University Health Center, Montreal, Quebec, Canada© 2008 by American Urological AssociationFiguresReferencesRelatedDetails Volume 180Issue 4October 2008Page: 1455-1459 Advertisement Copyright & Permissions© 2008 by American Urological AssociationKeywordslaparoscopycomputer simulationroboticsinternship and residencyclinical competenceMetricsAuthor Information Andrew Feifer More articles by this author Josee Delisle Financial interest and/or other relationship with Abbott Oncology. More articles by this author Maurice Anidjar More articles by this author Expand All Advertisement PDF downloadLoading ...

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