Collaborative youth mental health service users, immigration, poverty, and family environment
Bibliographic record
Abstract
BACKGROUND: This article examines the association between immigration, poverty and family environment, and the emotional and behavioral problems reported by youth and their family receiving mental health (MH) services within a collaborative care model in a multiethnic neighborhood. METHOD: Participants in this study were 140 parent-child dyads that are part of an ongoing longitudinal project looking at the association between individual, familial, social and organizational factors, and outcomes of youth receiving MH services in local health and social service organizations in the Montreal area. Measures included in this study were collected at the initial phase of the longitudinal project (Time 0). Parents completed a sociodemographic questionnaire and the Family Environment Scale (FES), and both parents and children completed the Strength and Difficulties questionnaire (SDQ). RESULTS: Results suggest that the family environment, especially family conflicts, has a significant role in the MH problems of children seeking help in collaborative MH services. In this specific population, results also show a trend, but not a statistically significant association, between poverty or immigration and emotional and behavioral problems. They suggest as well that boys show more MH problems, although this could be a contamination effect (parents' perspective). CONCLUSIONS: The results support the importance of interventions that not only target the child symptomatology but also address family dynamics, especially conflicts. Collaborative care models may be particularly well suited to allow for a coherent consideration of family environmental factors in youth mental health and to support primary care settings in addressing these issues.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".