Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
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Anetzberger, H; Mohr, M; Eickhoff, H; Seibert, FJ; Doring, B; Reppenhagen, S.
Three years AGA simulator training arthroscopy An experience report
ARTHROSKOPIE. 2021;
Doi: 10.1007/s00142-020-00428-5
Web of Science
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- Co-Autor*innen der Med Uni Graz
- Seibert Franz
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- Abstract:
- Background Since 2018 the Society for Arthroscopy and Joint Surgery (AGA) has offered its young members a 2-day simulator training course for arthroscopy (STArt). The training concept was developed by 10 AGA instructors. In addition to teaching theoretical principles, the focus is on learning manual arthroscopic skills on a simulator. The aim of the present article is to show and discuss the possibilities and limits of simulator training. Methods The training comprises exercises that build up on each other with defined learning objectives. To quantify the learning progress, the time required, the camera path length and instrument path length were measured. To scale the performance level, the tasks were performed six times by the ten instructors and the expert standard calculated from the data. At the beginning, manual camera control, horizon adjustment and control of viewing direction are trained in a virtual room (FAST module). Subsequently, the skills learned are further practiced and automated in the knee model. The aim of the course is that after completing the course, the participant is able to perform an accurate diagnostic knee arthroscopy without assistance. Results The 5 courses were attended by 91 doctors (21 women, 70 men) who were graded as advanced or beginners, depending on the number of independently performed arthroscopies. A learning progress could be observed in all participants. There was a significant difference between the performance groups in almost all exercises. Conclusion The data demonstrate that arthroscopic skills can effectively be learned and trained through structured simulator training.
- Find related publications in this database (Keywords)
- Virtual arthroscopy
- Arthroscopy training
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- Psychomotor learning process
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