Suboptimal Duration of Antidepressant Treatments in the Older Ambulatory Population of Quebec: Association with Selected Physician Characteristics
Bibliographic record
Abstract
OBJECTIVES: To assess the association between selected physician characteristics and suboptimal duration of antidepressant use in the older outpatient population. DESIGN: Follow-up of patients who were prescribed an antidepressant treatment by a cohort of physicians in Quebec. SETTING: Community-based older outpatient population in Quebec. PARTICIPANTS: Retrospective cohort of 1,301 general practitioners (GPs) and 236 psychiatrists followed from 1991 to 1997. MEASUREMENTS: Treatment duration of less than 180 days in 1996/97. RESULTS: Premature interruption of antidepressant treatment was very frequent (44.7%). GPs, physicians who practice in metropolitan or urban regions, and those who have a proportion of older patients in their practice of less than 50% show a higher rate of premature interruption. These associations could not be accounted for by the choice of products, dosage, or patient characteristics. CONCLUSION: We have identified physician characteristics that are associated with suboptimal duration of antidepressant use and conclude that further interventions should target subgroups of physicians.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".