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Low-fidelity simulation models in urology resident's microsurgery training
Luís Otávio Amaral Duarte Pinto1, Renata Cunha Silva2, Lívia Guerreiro de Barros Bentes3
1Universidade Estadual do Pará - Department of Integrated Health - Belém (PA), Brazil.
Acta Cirurgica Brasileira
|December 6, 2023
Summary
Low-fidelity simulation models effectively improved urology residents' microsurgical skills. Residents demonstrated faster anastomosis times and improved technical skills, with high satisfaction, validating this training approach.
Area of Science:
- Medical Education
- Surgical Simulation
- Urology
Background:
- Microsurgical skills are crucial for urology residents.
- Traditional training methods may have limitations.
- Low-fidelity simulation offers a potential alternative for skill acquisition.
Purpose of the Study:
- To assess the enhancement of microsurgical skills and competencies in urology residents.
- To evaluate the efficacy of low-fidelity experimental models in microsurgical training.
Main Methods:
- Utilized 3D-printed low-fidelity microsurgery simulators with silicone tubes.
- Implemented a five-session training course with weekly intervals (S1-S4) and a follow-up (S5).
- Assessed skill gain via anastomosis time, Objective Structure Assessment of Technical Skill (OSATS), and Student Satisfaction Self-Confidence tools in Learning (SSSCL).
Main Results:
- Significant reduction in anastomosis time (p=0.0019) and progressive OSATS score increase from S1 to S4.
- S5 showed a slight performance decrease (p<0.0001) but maintained skill plateau.
- SSSCL reported 96.9% overall approval, with a Cronbach's alpha of 83%.
Conclusions:
- Low-fidelity simulation models are effective for developing urology residents' microsurgical skills.
- This training approach leads to measurable improvements in technical proficiency and resident confidence.
- The study validates the use of accessible, low-cost simulation for advanced surgical training.
