Effectiveness of the Eyesi Surgical Simulator for ophthalmology trainees: systematic review and meta-analysis Journal Articles uri icon

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abstract

  • OBJECTIVE: The Eyesi Surgical Simulator (VRmagic, Mannheim, Germany) is the most commonly used ophthalmic virtual reality surgical simulator. While studies have demonstrated improved trainee skill acquisition with simulation-based training tools, a systematic review and meta-analysis evaluating Eyesi specifically has yet to be conducted. The aim of this study was to meta-analyze studies comparing Eyesi with other methods of technical skill teaching for trainees. METHODS: MEDLINE, Embase, and CENTRAL databases were searched. Articles included compared Eyesi Surgical Simulator use with alternative methods of technical skill training for medical students or residents. A pairwise meta-analysis using inverse variance random effects was performed. Standardized mean differences (SMDs) were used as the primary outcome measure to account for differences in surgical skill evaluation tools. RESULTS: From 207 citations, 8 studies with 108 learners using Eyesi and 123 learners not using Eyesi were included. Improvements in technical skill scores were significantly greater with the use of Eyesi (3 studies; SMD = 2.02; 95% CI, 1.47-2.57; p < 0.001; I2 = 0%). There was a significant reduction in the number of learners experiencing post-training technical errors in the Eyesi group (5 studies: odds ratio = 0.43; 95% CI, 0.20-0.90; p = 0.03; I2 = 30%). There were no significant differences in post-training time to task completion between groups (3 studies; SMD = 1.96; 95% CI, -1.96-5.88; p = 0.33; I2 = 97%). CONCLUSIONS: The Eyesi Surgical Simulator may improve technical skill acquisition (grade: low certainty of evidence) and decrease technical errors (grade: very low certainty of evidence) during cataract surgery among trainees. Further prospective studies evaluating Eyesi modules with standardized scoring systems is warranted.

authors

  • Carr, Lauren
  • McKechnie, Tyler
  • Hatamnejad, Amin
  • Chan, Jenny
  • Beattie, Anne

publication date

  • April 2023