Generalizability of the Ottawa Surgical Competency Operating Room Evaluation (O-SCORE) Scale to Assess Medical Student Performance on Core EPAs in the Workplace: Findings From One Institution
Bibliographic record
Abstract
PURPOSE: Assessment of the Core Entrustable Professional Activities for Entering Residency (Core EPAs) requires direct observation of learners in the workplace to support entrustment decisions. The purpose of this study was to examine the internal structure validity evidence of the Ottawa Surgical Competency Operating Room Evaluation (O-SCORE) scale when used to assess medical student performance in the Core EPAs across clinical clerkships. METHOD: During the 2018-2019 academic year, the Virginia Commonwealth University School of Medicine implemented a mobile-friendly, student-initiated workplace-based assessment (WBA) system to provide formative feedback for the Core EPAs across all clinical clerkships. Students were required to request a specified number of Core EPA assessments in each clerkship. A modified O-SCORE scale (1 = "I had to do" to 4 = "I needed to be in room just in case") was used to rate learner performance. Generalizability theory was applied to assess the generalizability (or reliability) of the assessments. Decision studies were then conducted to determine the number of assessments needed to achieve a reasonable reliability. RESULTS: A total of 10,680 WBAs were completed on 220 medical students. The majority of ratings were completed on EPA 1 (history and physical) (n = 3,129; 29%) and EPA 6 (oral presentation) (n = 2,830; 26%). Mean scores were similar (3.5-3.6 out of 4) across EPAs. Variance due to the student ranged from 3.5% to 8%, with the majority of the variation due to the rater (29.6%-50.3%) and other unexplained factors. A range of 25 to 63 assessments were required to achieve reasonable reliability (Phi > 0.70). CONCLUSIONS: The O-SCORE demonstrated modest reliability when used across clerkships. These findings highlight specific challenges for implementing WBAs for the Core EPAs including the process for requesting WBAs, rater training, and application of the O-SCORE scale in medical student assessment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.121 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".