Bibliographic record
Abstract
Abstract Based in the multicultural context of Montreal, Quebec, Canada, this article reviews shared care and collaborative care models which privilege consultations between primary and specialty care in children's mental health. An overview of Canada's two largest child psychiatric epidemiological studies outlines the nonclinical community prevalence in Ontario (18.5%) and Quebec (15%) of children's mental health problems along with salient family and community risk factors. Given the high prevalence of children's mental health problems and the burden of care undertaken by primary care practitioners, the interface between the first line of care and mental health services is crucial yet often characterized by poor communication, a lack of mutual comprehension, and limited collaboration. Collaborative mental health care has been defined as “a family physician or other primary care provider working together with a psychiatrist or other mental health worker in a mutually supportive partnership.” This definition is extended to describe a spectrum of partnerships in child and adolescent psychiatry (CAP): shared care, collaborative care, and related collaborative community practices. The author's experience with these models is presented with an overview of a pilot study on CAP shared care in Montreal. Two other recent trends in Quebec are explored: an innovation called “Medical Specialists Responding in Child and Adolescent Psychiatry” for community mental health-care teams and the pair aidant or “peer helper” model reaching out to patients and families with a member who suffers from mental health problem to serve as a helper, a model, and part of the support network.
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 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".