Laryngoscope Investigative Otolaryngology (Feb 2023)

A randomized study on the value of self‐directed versus traditional mentor‐led microsurgical training

  • Michael S. Powell,
  • James Reed Gardner,
  • Kyle P. Davis,
  • Quinn Dunlap,
  • Deanne King,
  • Emre Vural,
  • Mauricio Alejandro Moreno,
  • Jumin Sunde

DOI
https://doi.org/10.1002/lio2.999
Journal volume & issue
Vol. 8, no. 1
pp. 89 – 94

Abstract

Read online

Abstract Objective Analyze efficacy of self‐directed resident microvascular training versus a mentor‐led course. Study Design Randomized, single‐blinded cohort study. Setting Academic tertiary care center. Methods Sixteen resident and fellow participants were randomized into two groups stratified by training year. Group A completed a self‐directed microvascular course with instructional videos and self‐directed lab sessions. Group B completed a traditional mentor‐led microvascular course. Both groups spent equal time in the lab. Video recorded pre and post‐course microsurgical skill assessments were performed to assess the efficacy of the training. Two microsurgeons, blinded to participant identity, evaluated the recordings and inspected each microvascular anastomosis (MVA). Videos were scored using an objective‐structured assessment of technical skills (OSATS), a global rating scale (GRS), and quality of anastomosis scoring (QoA). Results The pre‐course assessment identified that the groups were well matched with only “Economy of Motion” on the GRS favoring the mentor led group (p = .02). This difference remained significant on the post assessment (p = .02) Both groups significantly improved in OSATS and GRS scoring (p .99). Time to completion of MVA significantly improved overall by a mean of 8 min and 9 s (p = .005) with no significant difference between post training times to complete (p = .63). Conclusion Different microsurgical training models have previously been validated as effective methods for improved MVA performance. Our findings indicate that a self‐directed microsurgical training model is an effective alternative to a traditional mentor driven models. Level of Evidence Level 2.

Keywords