Sur la première ligne : sondage pour un partage. Les omnipraticiens et la schizophrénie
Bibliographic record
Abstract
CONTEXT: General practitioners (GP) play a preponderant role in the treatment of patients suffering of schizophrenia. OBJECTIVES: Discovering the number of patients with schizophrenia who are treated by GPs ; the needs and attitudes of GPs, their knowledge concerning diagnosis, and the treatment they provide. METHODOLOGY: A postal survey was conducted with Quebec GPs who were randomly chosen. RESULTS: A total of 1003 GPs have participated in the survey. Among them, a small percentage have to treat an early onset schizophrenia and the GPs have expressed their wish to be more informed on the accessibility of specialized services. Results pertaining to questions on diagnoses and knowledge on treatments are inconsistent. The majority of GPs treat the first psychotic episodes with antipsychotic medication. Only a third of GPs surveyed propose maintaining the treatment after a first psychotic episode, in accordance with international recommendations and the recent Canadian guidelines on practices that recommends at least 6 to 12 months of treatment after a partial or complete clinical response. Time given by male GPs to a first contact varies between 10 and 20 minutes, while 80 % of female GPs spend at least 20 minutes. The adverse effects of antipsychotic medication that raise most concern is weight gain before neurological signs. CONCLUSION: some of this survey's data should be considered by various professional and governmental associations, in order to improve the place of GPs in a health plan destined to treat schizophrenia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".