Endovascular Simulator Training and Shadowing in Interventional Radiology: A Comparison of Two Teaching Methods in the Curricular Training of Medical Students
Year: 2024
Type: article
Study design: Clinical Trial
Abstract: PURPOSE: To identify the impact of endovascular simulator training and shadowing in interventional radiology on medical students' self-assessed IR knowledge. Moreover, the sequence of the teaching methods and its influence on the self-assessed IR knowledge is investigated. MATERIALS AND METHODS: A total of 19 fourth-year medical students participated in this study. Eleven students completed shadowing live cases first and endovascular simulator training the following day. Eight students completed the teaching in reversed order. Questionnaires were completed before and after each teaching method. The students assessed their knowledge of instruments and materials, steps of the Seldinger technique, and aortography on a Likert scale (1 = "I do not agree at all," 5 = "I fully agree"). RESULTS: After simulator training, the students stated a significant increase in perceived knowledge compared with baseline (p < 0.001). Shadowing led to a significant improvement regarding the items "knowledge of instruments and materials" (3.2 vs. 3.8, p = 0.008) and "steps of the Seldinger technique" (3.7 vs. 3.9, p = 0.046). Self-assessed knowledge after simulator training increased significantly more regarding Seldinger technique compared with shadowing (+ 1.2 vs. + 0.2, p < 0.001). Simulator training before shadowing was significantly more effective regarding the increase in "knowledge of the steps of aortography" compared with the reverse sequence (+ 2.0 vs. + 0.9, p = 0.041). CONCLUSION: Endovascular simulator training and shadowing are both feasible tools to improve medical students' perceived knowledge of interventional radiology. When organizing teaching, simulator training before shadowing can have a positive impact on self-assessed knowledge.
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,190
Award: G3691433060
OpenAlex ID: W4403290788
