Low-fidelity simulation models in urology resident's microsurgery training
Pinto, Luís Otávio Amaral Duarte; Silva, Renata Cunha; Bentes, Lívia Guerreiro de Barros; Bacelar, Herick Pampolha Huet de; Kietzer, Kátia Simone.
Acta cir. bras
; 38: e386523, 2023. tab, graf, ilus
Artículo
en Inglés
| LILACS, VETINDEX | ID: biblio-1527588
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<0.0001), however, remaining within the expected plateau for the gain of skills and competences. The SSSCL satisfaction scale showed an overall approval rating of 96.9%, with a Cronback alpha coefficient of 83%.Conclusions:
The low-fidelity simulation was able to guarantee urology residents a solid gain in skills and competencies in microsurgery.
Biblioteca responsable:
BR68.1
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