Pilot testing of a novel surgical simulator for endoscopic zenker's diverticulotomy

Objectives/Hypothesis

Restrictions on resident work hours and the increasing purview of otolaryngology reduce the efficacy of the traditional surgical training model. With limited case volumes at many institutions and the unique instrumentation of endoscopic Zenker's diverticulotomy (EZD), simulation may be useful to improve training. In this study, a novel surgical simulator for EZD is developed and validated.

Study Design

Simulation model development.

Methods

An EZD model was designed using an intubation trainer and disposable diverticulum inserts. A novel objective structured assessment of technical skill (OSATS) for EZD was developed. Performance of otolaryngology residents on simulations using the OSATS and time to completion were evaluated during an instructional course. Pre- and postencounter surveys were completed. Inter-rater and intrarater reliability were evaluated via blinded video review of resident performance.

Results

Seventeen residents participated (n = 17). Surveys showed confidence improved two points on a five-point scale (P < .001), and 94% agreed that the model would improve resident performance with in vivo EZD. More experienced trainees (postgraduate year [PGY] 3–5, n = 11 vs. PGY 1–2, n = 6) had shorter times to completion (P < .001) and higher assessment scores on initial attempts (P = .006). Both groups showed significant improvements from initial to final attempts on 30-point scales for global rating by 6.2 ± 4.2 (mean ± standard deviation, P < .001). The novel OSATS demonstrated fair live/video reliability (к = 0.40) and inter-rater reliability (к = 0.44), and moderate intrarater reliability (к = 0.60).

Conclusions

Pilot testing of an EZD simulator demonstrated acceptability, content validity, and construct validity. A novel OSATS was developed and evaluated. Further investigation of the impact on operative performance and validation of the OSATS in vivo is needed.

Level of Evidence

NA Laryngoscope, 2016

from #ORL via xlomafota13 on Inoreader http://ift.tt/2fPt0to
via IFTTT