A study of a multi‐source feedback system for international medical graduates holding defined licences
Bibliographic record
Abstract
OBJECTIVE: To develop and assess the feasibility and psychometric properties of multi-source feedback questionnaires to monitor international medical graduates practising in Canada under 'defined' licences. METHOD: Four questionnaires (patient, co-worker, colleague and self) were developed and administered in 2 phases through paper-based and telephone or Internet formats. Reliability was assessed with Cronbach's alpha and generalisability coefficient analyses. Validity was established through mean ratings, 'unable to respond' rates and factor analyses. RESULTS: A total of 37 doctors participated in the 2 phases. Overall response rates were 70% for patients, 86% for co-workers, 72% for medical colleagues and 92% for self, with response rates higher for the paper-based format than the Internet and phone formats. The instruments had high internal consistency reliability, with Cronbach's alphas of 0.83 for self-assessment and > 0.90 for the other instruments. The generalisability coefficients were Ep(2) = 0.71 for 25 patients on a 13-item survey, Ep(2) = 0.59 for 8 co-workers on a 13-item survey, and Ep(2) = 0.67 for 8 colleagues on a 21-item questionnaire. The range of mean scores was narrow (between 4 and 5) for all items and all surveys. The factor analyses identified that 2 factors accounted for 70% or more of the variance for the patient and colleague surveys and 60% of the variance for the co-worker survey. CONCLUSION: These data suggest that the instruments have reasonable psychometric properties. Traditional survey methods (i.e. paper-based) yielded better results than Internet or phone methods for this group of doctors.
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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 | 0.001 | 0.023 |
| 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) | 0.002 | 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".