1306 Recommendations for the Use of Simulators in Cardiothoracic Surgical Training
Abstract Aim To systematically review the simulators that are currently available for cardiothoracic surgical procedures and the validation evidence supporting them. Additionally, to recommend several simulators for training based on analysis of results. Method A systematic literature search of the MEDLINE® (1946 to December 2019) and EMBASE® (1947 to December 2019) databases was performed to identify simulators for basic skills and procedures in cardiothoracic surgery. A selection of keywords and MeSH terms were used to execute the literature search. After identification of relevant articles, data were extracted and analysed. Results Ninety simulators were found in eighty-one articles. Simulators for basic skills (n=24) and coronary artery bypass graft (n=22) were the most commonly described, followed by miscellaneous (n=14), valve surgery (n=13), thoracic lobectomy (n=10), and mechanical circulatory support (n=7). The majority of models were either benchtop (n=42) or hybrid (n=33) modalities. Evidence of validity was demonstrated in 38 (42.2%) simulators. Five (5.6%) simulators had three or more elements of validity established and only one (1.1%) accomplished full validation. Conclusions Five simulators were recommended for supplemental training in cardiothoracic surgery. Low-fidelity models can provide a broad foundation for surgical skills development and high-fidelity simulators can be used for immersive training scenarios and appraisals. These should be utilised in early training, at which point the learning curve of trainees is steepest.