Development and Validation of a Low-Cost Drilling Model.

Autor: LIAO, Janice Chin-Yi, LE, Lan Anh Thi, LEOW, Mabel Qi-He, YUSOFF, Siti K. M., CHONG, Alphonsus Khin-Sze, LIM, Jin Xi
Předmět:
Zdroj: Journal of Hand Surgery (Asian-Pacific Volume); Jun2024, Vol. 29 Issue 3, p171-178, 8p
Abstrakt: Background: Simulation models enable learners to have repeated practise at their own time, to master the psycho-motor and sensory acuity aspects of surgery and build their confidence in the procedure. The study aims to develop and evaluate the feasibility of a low-cost drilling model to train surgeons in the drilling task. The model targets three aspects of drilling – (1) Reduce plunge depth, (2) Ability to differentiate between bone and medullary canal and (3) Increase accuracy drilling in various angles. Methods: This cross-sectional study was conducted after obtaining ethics approval. We invited Consultants in the field of Orthopaedic or Hand Surgery to form the 'expert' group, and the 'novice' group consisted of participants who had no prior experience in bone drilling. We developed a drilling simulator model made from a polyvinyl chloride (PVC) pipe filled with liquid silicone. This model cost less than US$5. An electric Bosch drill (model GBM 10 RE) with a 1.4 mm K-wire 10 cm in length (6.5 cm outside the drill) was used for drilling. The main outcomes of the study were time taken for drilling, plunge depth, ability to penetrate the far cortex and accuracy. Results: Thirty-one participants were recruited into the study, of which 15 were experts and 16 were novices. The experts performed significantly better for plunge depth (t = −3.65, p = 0.0003) and accuracy (t = −2.07, p = 0.04). The experts required 20% less time to complete the drilling tasks, but it was not statistically significant (t = −0.79, p = 0.43). Conclusions: The low-cost drilling model could be useful in training Residents in the drilling task. It will allow Residents to practise independently at their own time and assess their own performance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index