Characteristics and outcomes of doctors in a substance dependence monitoring programme in Canada: prospective descriptive study
Bibliographic record
Abstract
OBJECTIVE: To describe the characteristics at enrollment and outcomes of doctors in a substance dependence monitoring programme in Canada. DESIGN: Prospective descriptive study. SETTING: Provincial physician health programme, Canada. PARTICIPANTS: All 100 doctors consecutively admitted to a substance dependence monitoring programme and followed until completion of monitoring or on leaving the programme. MAIN OUTCOME MEASURE: Relapse during long term monitoring for five years. RESULTS: Ninety per cent of the doctors enrolled on the programme were men, 66% were married or living with a partner, 44% had had previous treatment for substance dependence, and 36% had had previous psychiatric treatment. Smokers were over-represented compared with the general population of US doctors (38% v 5%). During the monitoring period 71% of participants had no known relapse. An additional 14% went on to complete the programme, after some form of relapse. In total, 85% of the doctors successfully completed the programme. CONCLUSION: In this cohort of doctors enrolled on the Ontario Physician Health Program for substance dependence, most were men who were dependent on alcohol or opioids. Smokers were over-represented compared with the general population of US doctors. Eighty five per cent successfully completed the programme.
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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 | 0.000 | 0.000 |
| 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".