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Low-fidelity simulation models in urology resident’s microsurgery training

Authors :
Luís Otávio Amaral Duarte Pinto
Renata Cunha Silva
Lívia Guerreiro de Barros Bentes
Herick Pampolha Huet de Bacelar
Kátia Simone Kietzer
Source :
Acta Cirúrgica Brasileira, Vol 38 (2023)
Publication Year :
2023
Publisher :
Sociedade Brasileira para o Desenvolvimento da Pesquisa em Cirurgia, 2023.

Abstract

ABSTRACT Purpose: To evaluate the gain of microsurgical skills and competencies by urology residents, using low-fidelity experimental models. Methods: The study involved the use of training boards, together with a low-fidelity microsurgery simulator, developed using a 3D printer. The model consists in two silicone tubes, coated with a resin, measuring 10 cm in length and with internal and external diameters of 0.5 and 1.5 mm. The support for the ducts is composed by a small box, developed with polylactic acid. The evaluation of the gain of skills and competencies in microsurgery occurred throughout a training course consisting of five training sessions. The first sessions (S1-S4) took place at weekly intervals and the last session (S5) was performed three months after S4. During sessions, were analyzed: the speed of performing microsurgical sutures in the pre and post-training and the performance of each resident through the Objective Structure Assessment of Technical Skill (OSATS) and Student Satisfaction Self-Confidence tools in Learning (SSSCL). Results: There was a decrease in the time needed to perform the anastomosis (p=0.0019), as well as a progressive increase in the score in the OSATS over during sessions S1 to S4. At S5, there was a slightly decrease in performance (p

Details

Language :
English
ISSN :
16782674
Volume :
38
Database :
Directory of Open Access Journals
Journal :
Acta Cirúrgica Brasileira
Publication Type :
Academic Journal
Accession number :
edsdoj.692579c12264ebbbc3230b83130b8a6
Document Type :
article
Full Text :
https://doi.org/10.1590/acb386523