» Articles » PMID: 36975081

Learning Curves in Directed Self-Regulated Virtual Reality Training of Mastoidectomy and the Role of Repetition and Motivation

Overview
Journal J Int Adv Otol
Publisher Aves
Date 2023 Mar 28
PMID 36975081
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Mastoidectomy is a complex procedure which can be trained on human cadaveric temporal bones or simulation models. The number of repetitions offered in most training curricula is considerably less than what is normally required for motor skills acquisition in crafts or sports. Directed, self-regulated virtual reality simulation training may provide unlimited repetitions but the effect on learning of extended but unsupervised training is unknown. This study recorded extended learning curves of novices in virtual reality simulation mastoidectomy training.

Methods: Six medical students used the visible ear temporal bone simulator at home for 100 repetitions. Virtual temporal bones were later assessed by 2 blinded experts on a 26-point modified Welling Scale.

Results: Four participants completed 100 procedures each and 2 participants completed 50 procedures. Learning curves and plots of time demonstrated great variation: one participant improved gradually during the first 50 procedures and sustained a high performance; another participant achieved only 16 points after 50 procedures; a third participant demonstrated mediocre performances between 10 and 15 points but only used about 5 minutes per procedure. The remaining 3 participants achieved high but fluctuating scores with very limited time use per procedure. Their score per time exceeds the performance of experienced otosurgeons and suggests the use of save/restore gaming strategies to inflate their performance.

Conclusion: Deliberate learners may reach proficiency in virtual reality simulation of mastoidectomy after 50 repetitions. However, even 100 repetitions cannot guarantee proficiency if motivation fails. Creative "gaming" behavior must be considered and opposed by motivation, supervision, testing, and certification.

References
1.
Andersen S, Caye-Thomasen P, Sorensen M . Mastoidectomy performance assessment of virtual simulation training using final-product analysis. Laryngoscope. 2014; 125(2):431-5. DOI: 10.1002/lary.24838. View

2.
Ericsson K . Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004; 79(10 Suppl):S70-81. DOI: 10.1097/00001888-200410001-00022. View

3.
Andersen S, Mikkelsen P, Sorensen M . Expert sampling of VR simulator metrics for automated assessment of mastoidectomy performance. Laryngoscope. 2019; 129(9):2170-2177. DOI: 10.1002/lary.27798. View

4.
West N, Konge L, Caye-Thomasen P, Sorensen M, Andersen S . Peak and ceiling effects in final-product analysis of mastoidectomy performance. J Laryngol Otol. 2015; 129(11):1091-6. DOI: 10.1017/S0022215115002364. View

5.
Grantcharov T, Funch-Jensen P . Can everyone achieve proficiency with the laparoscopic technique? Learning curve patterns in technical skills acquisition. Am J Surg. 2009; 197(4):447-9. DOI: 10.1016/j.amjsurg.2008.01.024. View