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DOI: 10.1055/s-0043-1771003
Construct Validity and Experience of Using a Low-cost Arthroscopic Shoulder Surgery Simulator
Article in several languages: português | English Financial Support No source of funding that could influence results was received.
Abstract
Objective To validate the low-cost model for arthroscopy training and analyze the acceptance and usefulness of the developed simulator in medical teaching and training.
Method Ten medical students, ten third-year orthopedic residents, and ten shoulder surgeons performed predetermined tasks on a shoulder simulator twice. The parameters used were time to complete the tasks, number of looks at the hands, GOALS score (Global Operative Assessment of Laparoscopic Skills) and comparison between groups and within groups. An adapted Likert scale was applied addressing the individuals' impressions about the simulator and its applicability.
Results In the intergroup comparison, the shoulder surgeons had better scores and times than the other groups. When the tasks were repeated, the group of surgeons had a 59% improvement in time (p < 0.05), as did the group of medical students. In the GOALS score, shoulder surgeons had consistently better scores than the other groups. And when we evaluated the evolution from the first to the second test, the group of surgeons and the group of academics had a statistically significant improvement (p < 0.05). In terms of lookdowns, there was a decrease in all groups. There was consensus that the simulator is useful in training.
Conclusion The simulator developed allowed the differentiation between individuals with different levels of training in arthroscopic surgery. It was accepted by 100% of the participants as a useful tool in arthroscopic shoulder surgical training.
Work developed at Hospital de Clinicas, Federal University of Paraná, Curitiba, Paraná, Brazil.
Publication History
Received: 27 May 2022
Accepted: 27 October 2022
Article published online:
30 October 2023
© 2023. Sociedade Brasileira de Ortopedia e Traumatologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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