Marisa Louridas1, Peter Szasz, Sandra de Montbrun, Kenneth A Harris, Teodor P Grantcharov. 1. *Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Canada †Division of General Surgery, St. Michael's Hospital, Toronto, Canada ‡Royal College of Physicians and Surgeons of Canada, Ottawa, Canada.
Abstract
OBJECTIVE: To identify background characteristics and cognitive tests that may predict surgical trainees' future technical performance, and therefore be used to supplement existing surgical residency selection criteria. BACKGROUND: Assessment of technical skills is not commonly incorporated as part of the selection process for surgical trainees in North America. Emerging evidence, however, suggests that not all trainees are capable of reaching technical competence. Therefore, incorporating technical aptitude into selection processes may prove useful. METHODS: A systematic search was carried out of the MEDLINE, PsycINFO, and Embase online databases to identify all studies that assessed associations between surrogate markers of innate technical abilities in surgical trainees, and whether these abilities correlate with technical performance. The quality of each study was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation system. RESULTS: A total of 8035 records were identified. After screening by title, abstract, and full text, 52 studies were included. Very few surrogate markers were found to predict technical performance. Significant associations with technical performance were seen for 1 of 23 participant-reported surrogate markers, 2 of 25 visual spatial tests, and 2 of 19 dexterity tests. The assessment of trainee Basic Performance Resources predicted technical performance in 62% and 75% of participants. CONCLUSIONS: To date, no single test has been shown to reliably predict the technical performance of surgical trainees. Strategies that rely on assessing multiple innate abilities, their interaction, and their relationship with technical skill may ultimately be more likely to serve as reliable predictors of future surgical performance.
OBJECTIVE: To identify background characteristics and cognitive tests that may predict surgical trainees' future technical performance, and therefore be used to supplement existing surgical residency selection criteria. BACKGROUND: Assessment of technical skills is not commonly incorporated as part of the selection process for surgical trainees in North America. Emerging evidence, however, suggests that not all trainees are capable of reaching technical competence. Therefore, incorporating technical aptitude into selection processes may prove useful. METHODS: A systematic search was carried out of the MEDLINE, PsycINFO, and Embase online databases to identify all studies that assessed associations between surrogate markers of innate technical abilities in surgical trainees, and whether these abilities correlate with technical performance. The quality of each study was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation system. RESULTS: A total of 8035 records were identified. After screening by title, abstract, and full text, 52 studies were included. Very few surrogate markers were found to predict technical performance. Significant associations with technical performance were seen for 1 of 23 participant-reported surrogate markers, 2 of 25 visual spatial tests, and 2 of 19 dexterity tests. The assessment of trainee Basic Performance Resources predicted technical performance in 62% and 75% of participants. CONCLUSIONS: To date, no single test has been shown to reliably predict the technical performance of surgical trainees. Strategies that rely on assessing multiple innate abilities, their interaction, and their relationship with technical skill may ultimately be more likely to serve as reliable predictors of future surgical performance.
Authors: Mona W Schmidt; Karl-Friedrich Kowalewski; Sarah M Trent; Laura Benner; Beat P Müller-Stich; Felix Nickel Journal: Surg Endosc Date: 2019-05-28 Impact factor: 4.584
Authors: Marisa Louridas; Peter Szasz; Andras B Fecso; Michael G Zywiel; Parisa Lak; Ayse B Bener; Kenneth A Harris; Teodor P Grantcharov Journal: Surg Endosc Date: 2017-04-27 Impact factor: 4.584
Authors: Suzanne Perry; Susan M Bridges; Frank Zhu; W Keung Leung; Michael F Burrow; Jamie Poolton; Rich Sw Masters Journal: J Med Internet Res Date: 2017-12-12 Impact factor: 5.428
Authors: Kirsty L Beattie; Andrew Hill; Mark S Horswill; Philip M Grove; Andrew R L Stevenson Journal: Surg Endosc Date: 2021-08-09 Impact factor: 4.584