Literature DB >> 28502388

The Grapefruit: An Alternative Arthroscopic Tool Skill Platform.

David A Molho1, Stephen M Sylvia2, Daniel L Schwartz2, Sara L Merwin3, I Martin Levy3.   

Abstract

PURPOSE: To establish the construct validity of an arthroscopic training model that teaches arthroscopic tool skills including triangulation, grasping, precision biting, implant delivery and ambidexterity and uses a whole grapefruit for its training platform.
METHODS: For the grapefruit training model (GTM), an arthroscope and arthroscopic instruments were introduced through portals cut in the grapefruit skin of a whole prepared grapefruit. After institutional review board approval, participants performed a set of tasks inside the grapefruit. Performance for each component was assessed by recording errors, achievement of criteria, and time to completion. A total of 19 medical students, orthopaedic surgery residents, and fellowship-trained orthopaedic surgeons were included in the analysis and were divided into 3 groups based on arthroscopic experience. One-way analysis of variance (ANOVA) and the post hoc Tukey test were used for statistical analysis.
RESULTS: One-way ANOVA showed significant differences in both time to completion and errors between groups, F(2, 16) = 16.10, P < .001; F(2, 16) = 17.43, P < .001. Group A had a longer time to completion and more errors than group B (P = .025, P = .019), and group B had a longer time to completion and more errors than group C (P = .023, P = .018).
CONCLUSIONS: The GTM is an easily assembled and an alternative arthroscopic training model that bridges the gap between box trainers, cadavers, and virtual reality simulators. Our findings suggest construct validity when evaluating its use for teaching the basic arthroscopic tool skills. As such, it is a useful addition to the arthroscopic training toolbox. CLINICAL RELEVANCE: There is a need for validated low-cost arthroscopic training models that are easily accessible.
Copyright © 2017 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28502388     DOI: 10.1016/j.arthro.2017.03.010

Source DB:  PubMed          Journal:  Arthroscopy        ISSN: 0749-8063            Impact factor:   4.772


  4 in total

1.  Can an Augmented Reality Headset Improve Accuracy of Acetabular Cup Orientation in Simulated THA? A Randomized Trial.

Authors:  Kartik Logishetty; Luke Western; Ruairidh Morgan; Farhad Iranpour; Justin P Cobb; Edouard Auvinet
Journal:  Clin Orthop Relat Res       Date:  2019-05       Impact factor: 4.176

2.  A novel arthroscopy training program based on a 3D printed simulator.

Authors:  J Ferràs-Tarragó; N Jover-Jorge; I Miranda-Gómez
Journal:  J Orthop       Date:  2022-05-07

3.  The FAST Workstation Shows Construct Validity and Participant Endorsement.

Authors:  Jonathan A Baxter; Nivraj S Bhamber; Rakesh S Patel; Duncan Tennent
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-06-18

Review 4.  Validating a Low-Fidelity Model for Microsurgical Anastomosis Training.

Authors:  Saeed Mohammad; Regina Hanstein; Yungtai Lo; I Martin Levy
Journal:  JB JS Open Access       Date:  2021-07-16
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.