Simulation Based Training and Assessment in Open Vascular Surgery: A Systematic Review
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Objective: The aim of this study was to systematically review the literature and give evidence based recommendations for future initiatives for simulation based training (SBT) and assessment in open vascular surgery. Data sources: PubMed, Embase, and the Cochrane Library. Review methods: A systematic review of PubMed, Embase, and the Cochrane Library was performed, with the last search on 31 March 2020, to identify studies describing SBT and assessment in open vascular surgery. Kirkpatrick's levels for efficacy of training were evaluated. Validity evidence for assessment tools was evaluated according to the recommended contemporary framework by Messick. Results: Of 2 844 studies, 51 were included for data extraction. A high degree of heterogeneity in reporting standards and varying types of simulation was found. Vascular anastomosis was the most frequently simulated technical skill (43%). Assessment was mostly carried out using the Objective Structured Assessment of Technical Skills (55%). Validity evidence for assessment tools was found using outdated frameworks, and only one study used Messick's framework. Self directed training is valuable, the low trainer to trainee ratio is important to maximise efficiency, and experienced vascular surgeons are the most effective trainers. Conclusion: Carefully designed and structured SBT is effective and can improve technical skills, especially in less experienced trainees. However, the supporting evidence lacks homogeneity in the reporting standards and types of simulations. Pass/fail standards that support proficiency based learning and studies investigating skills transfer should be the focus in future studies. Validity evidence of assessment tools needs to be addressed using contemporary frameworks.
Original language | English |
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Journal | European Journal of Vascular and Endovascular Surgery |
Volume | 61 |
Issue number | 3 |
Pages (from-to) | 502-509 |
Number of pages | 8 |
ISSN | 1078-5884 |
DOIs | |
Publication status | Published - 2021 |
- Assessment, Open vascular surgery, Simulation, Training, Vascular skills
Research areas
ID: 255458873