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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Recommendations for the use of coronary and valve simulators in cardiac surgical training: A systematic review

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Συγγραφέας
Whittaker G., Salmasi M.Y., Aydin A., Magouliotis D., Raja S.G., Asimakopoulos G., Moorjani N., Athanasiou T.
Ημερομηνία
2022
Γλώσσα
en
DOI
10.1093/ejcts/ezab350
Λέξη-κλειδί
aortic valve repair
clinical effectiveness
coronary artery bypass graft
coronary artery surgery
heart valve surgery
human
mitral valve surgery
off pump coronary surgery
on pump coronary artery bypass graft
patient safety
Review
risk factor
systematic review
clinical competence
learning curve
medical education
procedures
simulation training
Clinical Competence
Education, Medical, Graduate
Humans
Internship and Residency
Learning Curve
Simulation Training
European Association for Cardio-Thoracic Surgery
Εμφάνιση Μεταδεδομένων
Επιτομή
OBJECTIVES: The aim of this study was to systematically review the simulators that are currently available for coronary artery bypass graft and valve surgery and, in addition, to review the validation evidence supporting them and to recommend several simulators for training based on the analysis of results. METHODS: A systematic literature search of the MEDLINE® (1946 to May 2021) and EMBASE® (1947 to May 2021) databases was performed to identify simulators for coronary artery and valvular procedures in cardiothoracic surgery. A selection of keywords and MeSH terms was used to execute the literature search. After identification of relevant articles, data were extracted and analysed. RESULTS: Thirty-seven simulators were found in 31 articles. Simulators were found for coronary artery bypass graft (n = 24) and valve surgery (n = 13). The majority of models were either benchtop (n = 28) or hybrid (n = 8) modalities. Evidence of validity was demonstrated in 15 (40.5%) simulators. Twenty-two (59.5%) simulators had no validation evidence, and 1 (2.7%) simulator had 3 or more elements of validity established. CONCLUSIONS: Two simulators were recommended for supplemental training in cardiothoracic surgery. Low-fidelity models can provide a broad foundation for surgical skills' development whereas high-fidelity simulators can be used for immersive training scenarios and appraisals. These should be utilized in early training, at which point the learning curve of trainees is steepest. © 2021 The Author(s). Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.
URI
http://hdl.handle.net/11615/80798
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19743]

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