The influence of clinical coaching teams on quality of entrustable professional activity assessments
Bibliographic record
Abstract
Abstract Background Coaching is an important component of workplace‐based assessment in competency‐based medical education. Longitudinal coaching relationships have been proposed to enhance the trainee–supervisor relationship and promote high‐quality assessment. Objective The objective of this study was to determine the influence of longitudinal coaching relationships on the quality of entrustable professional activity (EPA) assessments. Methods EPAs ( n = 174) completed by emergency medicine (EM) supervisors between July 2020 and June 2021 were extracted and divided into two groups; one group consisted of EPAs completed by supervisors when a longitudinal coaching relationship existed ( n = 87) and the other group consisted of EPAs completed by the same supervisors when no coaching relationship existed ( n = 87). Three physicians were recruited to rate the EPAs using the Quality of Assessment and Learning (QuAL) score, a previously published measure of EPA quality. An analysis of variance was performed to compare mean QuAL scores between the groups. Linear regression analysis was conducted to examine the relationship between trainee performance (EPA rating) and EPA assessment quality (QuAL score). Results All raters completed the survey. The mean ± SD QuAL score in the coaching relationship group (3.63 ± 0.91) was higher than the no coaching relationship group (3.51 ± 1.10) but the difference was not statistically significant ( p = 0.40). Supervisor was a significant predictor of QuAL score ( p = 0.012) and supervisor alone accounted for 26% of the variability in QuAL scores (R 2 = 0.26). There was no significant relationship between trainee performance and EPA assessment quality. Conclusions The presence of a longitudinal coaching relationship did not influence the quality of EPA assessments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".