Correlation of Virtual Reality Simulation and Dry Lab Robotic Technical Skills.

Published

Journal Article

STUDY OBJECTIVE: To examine whether a set of virtual reality (VR) surgical simulation drills have correlative validity when compared with the validated Robotic Objective Structured Assessment of Technical Skills (R-OSATS) dry lab drills. DESIGN: A prospective methods comparison study (Canadian Task Force classification II-2). SETTING: A teaching hospital. PARTICIPANTS: Thirty current residents, fellows, and faculty from the Departments of Obstetrics and Gynecology, Urology, and General Surgery. INTERVENTIONS: Participants completed 5 VR drills on the da Vinci Skills Simulator and 5 dry lab drills. Participants were randomized to the order of completion. MEASUREMENTS AND MAIN RESULTS: VR drills were scored automatically by the simulator. Dry lab drills were recorded, reviewed by 3 blinded experts, and scored using the R-OSATS assessment tool. Spearman correlation coefficients were calculated comparing simulator scores and R-OSATS scores for the same surgeon. The correlation for overall summary scores between VR and dry lab drills was strong (r = 0.83; p < .01). Each of the 5 VR drills was also found to have a statistically significant correlation to its corresponding dry lab drill, with correlation coefficients ranging from r = 0.49 to 0.73 (p < .01 for all). The performance on VR drills also confirmed construct validity. Faculty and fellows had consistently higher overall scores than residents (median VR scores: 458 for faculty, 425 for fellows, 339 for residents; p < .01). CONCLUSION: We selected a core set of VR drills that reliably correlate with validated dry lab R-OSATS drills. Because dry lab drills require significant time and effort on the part of the trainees and the evaluators, this set of VR drills could serve as an ancillary method of determining trainee competence.

Full Text

Duke Authors

Cited Authors

  • Newcomb, LK; Bradley, MS; Truong, T; Tang, M; Comstock, B; Li, Y-J; Visco, AG; Siddiqui, NY

Published Date

  • May 2018

Published In

Volume / Issue

  • 25 / 4

Start / End Page

  • 689 - 696

PubMed ID

  • 29154932

Pubmed Central ID

  • 29154932

Electronic International Standard Serial Number (EISSN)

  • 1553-4669

Digital Object Identifier (DOI)

  • 10.1016/j.jmig.2017.11.006

Language

  • eng

Conference Location

  • United States