Correlation of Performance on ENTRUST and Traditional Oral Objective Structured Clinical Examination for High-Stakes Assessment in the College of Surgeons of East, Central, and Southern Africa

• Published in: Journal of the American College of Surgeons Vol. 237; no. 1; pp. 117 - 127
• Main Authors: Liebert, Cara A, Melcer, Edward F, Eddington, Hyrum, Trickey, Amber, Shields, Samuel, Lee, Melissa, Korndorffer, Jr, James R, Bekele, Abebe, Wren, Sherry M, Lin, Dana T
• Format: Journal Article
• Language: English
• Published: United States 01.07.2023
• Subjects: Africa, Southern; Clinical Competence; Educational Measurement; Humans; Learning; Surgeons; Africa, Southern
• ISSN: 1072-7515; 1879-1190
• DOI: 10.1097/XCS.0000000000000740

To address the global need for accessible evidence-based tools for competency-based education, we developed ENTRUST, an innovative online virtual patient simulation platform to author and securely deploy case scenarios to assess surgical decision-making competence. In partnership with the College of Surgeons of East, Central, and Southern Africa, ENTRUST was piloted during the Membership of the College of Surgeons (MCS) 2021 examination. Examinees (n = 110) completed the traditional 11-station oral objective structured clinical examinations (OSCEs), followed by 3 ENTRUST cases, authored to query similar clinical content of 3 corresponding OSCE cases. ENTRUST scores were analyzed for associations with MCS Examination outcome using independent sample t tests. Correlation of ENTRUST scores to MCS Examination Percentage and OSCE station scores was calculated with Pearson correlations. Bivariate and multivariate analyses were performed to evaluate predictors of performance. ENTRUST performance was significantly higher in examinees who passed the MCS examination compared with those who failed (p < 0.001). The ENTRUST score was positively correlated with MCS Examination Percentage (p < 0.001) and combined OSCE station scores (p < 0.001). On multivariate analysis, there was a strong association between MCS Examination Percentage and ENTRUST Grand Total Score (p < 0.001), Simulation Total Score (p = 0.018), and Question Total Score (p < 0.001). Age was a negative predictor for ENTRUST Grand Total and Simulation Total Score, but not for Question Total Score. Sex, native language status, and intended specialty were not associated with performance on ENTRUST. This study demonstrates feasibility and initial validity evidence for the use of ENTRUST in a high-stakes examination context for assessment of surgical decision-making. ENTRUST holds potential as an accessible learning and assessment platform for surgical trainees worldwide.