Interactions of staff and residents with pharmaceutical industry: a survey of psychiatric training program policies.
Bibliographic record
Abstract
OBJECTIVES: In response to perceived controversies regarding interactions between physicians and the pharmaceutical industry, we undertook a study to look at the relationship between Canadian psychiatry training programs and the pharmaceutical industry. METHODS: The authors distributed a survey to the residency program directors and chief residents of the 16 psychiatry training programs in Canada. RESULTS: Of respondents, 75 per cent were either unaware of or noted an absence of policies or guidelines regarding interactions with the pharmaceutical industry in their training programs; 70 per cent viewed staff psychiatrists and residents to be at least 50 per cent familiar with the Canadian Medical Association's policy summary; and 74 per cent were unaware of any structural teaching regarding potential conflicts of interest between psychiatry and the pharmaceutical industry. A significant number of respondents perceived occasional excessive influence by the pharmaceutical industry on residents' training. CONCLUSIONS: Despite concerns about potential conflicts of interest, there are a few guidelines in most psychiatry training programs in Canada regarding the relationship between physicians and the pharmaceutical industry.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".