Rib Framework Simulation for Microtia Reconstruction

dc.contributor.authorModi, Rishi N.
dc.contributor.authorLu, G. Nina
dc.contributor.authorBhrany, Amit D.
dc.contributor.authorBly, Randall A.
dc.contributor.authorSie, Kathleen C.Y.
dc.contributor.authorZhou, MD, Sheng
dc.date.accessioned2026-06-30T22:50:07Z
dc.date.issued2026-06-30
dc.description.abstractObjective: Costochondral framework creation for microtia reconstruction is difficult to master, given the rarity of cases and scarcity of realistic, affordable simulation. These barriers are amplified in low-resource settings. We evaluated a simulated rib model for auricular framework creation as a training tool in multi-national, multi-specialty cohorts. Methods: Fifty-nine resident physicians from the University of Washington Departments of Otolaryngology-Head & Neck Surgery (UW-O, n=20), University of Washington Department of Plastic Surgery (UW-P, n=17), and University of Health Sciences Cambodia Department of Plastic Surgery (UHS-P, n=22) completed the simulation. Participants rated pre- and post-simulation confidence and skill, model realism and ease of use. Statistical analyses were done to identify intra- and inter-cohort differences. Results: All three cohorts improved significantly in self-reported confidence and skill (all p<.005). UHS-P entered with significantly higher baselines and showed no shift in median scores. Both UW cohorts gained significantly more confidence than UHS-P. UW-O gained significantly more skill than UHS-P (all p<.05). Post-simulation confidence and skill did not differ significantly across cohorts. Cohort did not independently predict post-simulation outcomes. Ratings were favorable for realism (median 4, IQR 3-4), ease of use (median 5, IQR 3.5-5), and satisfaction with the model as a global training tool (median 4, IQR 3-4.75). Conclusion: This accessible rib framework simulator demonstrated face validity and consistent gains in self-reported confidence and skill across otolaryngology and plastic surgery trainees in two countries. These findings support its feasibility as a training tool for microtia reconstruction.
dc.identifier.urihttps://hdl.handle.net/1773/56830
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.titleRib Framework Simulation for Microtia Reconstruction
dc.typelearning object

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