Workplace‐based assessment for general practitioners: using stakeholder perception to aid blueprinting of an assessment battery
Bibliographic record
Abstract
CONTEXT: The implementation of an assessment system may be facilitated by stakeholder agreement that appropriate qualities are being tested. This study investigated the extent to which stakeholders perceived 8 assessment formats (multiple-choice questions, objective structured clinical examination, video, significant event analysis, criterion audit, multi-source feedback, case analysis and patient satisfaction questionnaire) as able to assess varying qualities of doctors training in UK general practice. METHODS: Educationalists, general practice trainers and registrars completed a blueprinting style of exercise to rate the extent to which each evaluation format was perceived to assess each of 8 competencies derived primarily from the General Medical Council document 'Good Medical Practice'. RESULTS: There were high levels of agreement among stakeholders regarding the perceived qualities tested by the proposed formats (G = 0.82-0.93). Differences were found in participants' perceptions of how well qualities were able to be assessed and in the ability of the respective formats to test each quality. Multi-source feedback (MSF) was expected to assess a wide range of qualities, whereas Probity, Health and Ability to work with colleagues were limited in terms of how well they could be tested by the proposed formats. DISCUSSION: Awareness of the perceptions of stakeholders should facilitate the development and implementation of workplace-based assessment (WPBA) systems. These data shed light on the acceptability of various formats in a way that will inform further investigation of WPBA formats' validity and feasibility, while also providing evidence on which to base educational efforts regarding the value of each format.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".