Simon Bann1, Vivek Datta, Mansoor Khan, Ara Darzi. 1. Department of Surgical Oncology and Technology and Medicine, Imperial College Faculty of Medicine, 10th Floor QEQM Wing, St. Mary's Hospital, South Wharf Rd., W2 1NY, London, United Kingdom. s.bann@ic.ac.uk
Abstract
BACKGROUND: Objective analysis of surgical skill is necessary. A novel method of assessment using simple error analysis in synthetic models is examined for construct validity. METHODS: Two examination protocols were devised using synthetic models. These contained either a purpose made error or were representative of good surgical practice. Protocol one contained models of skin closure and minor operations. Protocol two in addition more complex procedures. Face validity was established by the approval of senior surgeons. Junior surgeons were recruited to undertake the assessment. A p value of less than 0.05 was deemed to be significant. RESULTS: Eighty-nine surgeons were recruited. Both protocol one and two were able to discriminate between groups at statistically significant levels. CONCLUSIONS: Construct validity has been established by showing that error analysis is able to distinguish surgeons with varying levels of experience.
BACKGROUND: Objective analysis of surgical skill is necessary. A novel method of assessment using simple error analysis in synthetic models is examined for construct validity. METHODS: Two examination protocols were devised using synthetic models. These contained either a purpose made error or were representative of good surgical practice. Protocol one contained models of skin closure and minor operations. Protocol two in addition more complex procedures. Face validity was established by the approval of senior surgeons. Junior surgeons were recruited to undertake the assessment. A p value of less than 0.05 was deemed to be significant. RESULTS: Eighty-nine surgeons were recruited. Both protocol one and two were able to discriminate between groups at statistically significant levels. CONCLUSIONS: Construct validity has been established by showing that error analysis is able to distinguish surgeons with varying levels of experience.
Authors: Sidney I Roberts; Steven Y Cen; Jessica H Nguyen; Laura C Perez; Luis G Medina; Runzhuo Ma; Sandra Marshall; Rafal Kocielnik; Anima Anandkumar; Andrew J Hung Journal: J Endourol Date: 2022-05 Impact factor: 2.619