The Canadian Psychiatric Association Practice Profile Survey: II. General Description of Results
Bibliographic record
Abstract
OBJECTIVE: To provide an overview of the results of the Canadian Psychiatric Association (CPA) practice profile survey (PPS), a national survey of psychiatrists and psychiatric practice. METHOD: Mail-in interviews were sent to all Canadian psychiatrists listed in their provincial registers and to all active CPA members (total = 3628). Respondents provided general information about their professional activities for one 24-hour day and detailed information for 1 randomly selected hour. Patient information--including sociodemographics, diagnostic profiles, functioning levels, risk of harm to self or others, and disposition--was elicited for 1 patient seen during the random hour as well as for the most seriously ill patient receiving clinical services that day. RESULTS: Psychiatrists work 10 hours daily on average and take calls for 5 hours. Sixty percent of the overall work time is in the provision of direct patient care, and fee-for-service payments account for 55% of hours worked. Forty percent of the clinical work is provided in a hospital setting, and 34% is in a private office. Agency work accounted for only 6% of clinical hours worked. Relatively few practitioners provide services to children, older, or forensic patients. The average patient seen is female, aged 40 years, unmarried or with a marital disruption, significantly impaired in multiple areas of functioning, and likely to suffer from depression (21%), schizophrenia (14%), an anxiety disorder (13%), or bipolar disorder (12%). Comorbid Axis I and Axis II disorders are common (each over 30%) and fairly high rates of suicidal (15% to 30%) and homicidal (10% to 20%) risk are present. CONCLUSIONS: This paper suggests a wide diversity of practice in psychiatry in Canada, with services being provided to a wide range of individuals with many different conditions.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.020 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".