Objective: The study aimed to examine the learning curve and short-term retention of arthroscopic skills acquired on a simulator.
Design: Cohort study.
Setting: Clinical Skills Training Center of Zhujiang Hospital of Southern Medical University PARTICIPANT AND METHODS: Orthopaedic residents (n = 14) without previous arthroscopy experience were included. After basic information was collected and an initial arthroscopy knowledge level test was administered, the subjects received standardised training on the simulator (day 1); then, they completed tasks on the simulator, including guided diagnostics (4 times), triangulation (5 times) and loose body removal (7 times). A learning curve for each skill was generated based on the total scores. The score of the last repetition of each task was the training level.
Results: A total of 14 orthopedic residents were enrolled. All participants completed the training and testing. There was a learning curve over the course of training for all 3 arthroscopic skills (p < 0.001). On day 8 after the training, the mean score for guided diagnostics decreased from 49.9 to 48.9 (p = 0.001), and the retention rate was 97.8%. For triangulation, the mean total score decreased from 58.9 to 53.6 (p < 0.001), and the retention rate was 90.8%. For loose body removal, the mean total score decreased from 87.1 to 80.7 (p < 0.001), and the retention rate was 92.7%.
Conclusions: Orthopaedic residents' arthroscopic skills learned through simulator training declined significantly in 1 week after the training, especially more difficult skills.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jsurg.2022.08.020 | DOI Listing |
J Hand Surg Asian Pac Vol
January 2025
Orthopaedic Surgeon, North Adelaide, South Australia, Australia.
Globally, surgical exposure for the trainee has become challenging due to changes in shift patterns, increasing medicolegal issues and the recognition of burnout. Simulation models are a crucial adjunct for the development of arthroscopic skills and open procedures. Advanced anatomically precise 3D-printed wrist models are used in our workshops.
View Article and Find Full Text PDFRecent research shows that physicians lack the knowledge and ability to use artificial intelligence (AI) effectively. We thus introduce a new series of articles, "Applications of Artificial Intelligence for Health Care Providers." Like the arthroscope, AI is a powerful tool, and we must adapt our skills to effectively incorporate and apply this tool in our practices.
View Article and Find Full Text PDFSurg Technol Int
December 2024
Department of Orthopaedics, Royal London Hospital, London, United Kingdom.
Introduction: Our aim is to investigate the face validity and the construct validity of the ArthroSim™ virtual reality shoulder arthroscopy simulator (Touch of Life Technologies, Inc., Aurora, Colorado).
Materials And Methods: Fifteen doctors participated, with five from each of the following levels: novice with no arthroscopies performed, intermediate with less than 50 arthroscopies performed, and expert with over 100 arthroscopies performed.
Orthop Traumatol Surg Res
November 2024
Univ. Rennes, Inserm, LTSI - UMR 1099, F-35000 Rennes, France.
Background: Although virtual reality (VR) simulators have demonstrated their efficiency for basic technical skill training of healthcare professionals, validation for more complex and sequential procedures, especially in arthroscopic surgery, is still warranted. We hypothesized that the VR-based training simulation improves arthroscopic cuff repair skills when transferred to realistic visual and haptic conditions.
Hypothesis: VR-based training simulation improves arthroscopic cuff repair skills when transferred to realistic visual and haptic conditions.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!