Perspectives of Migrant Youth, Parents and Clinicians on Community-Based Mental Health Services: Negotiating Safe Pathways
Bibliographic record
Abstract
Youth mental health (YMH) services are greatly underutilized, particularly for migrant youth. Collaborative models of care offer promising avenues, but research on these treatment modalities is still scarce, particularly for migrants. The goal of this exploratory study is to better understand quality of care including factors improving access to care and collaborative YMH services use, efficacy and satisfaction, for this vulnerable population. This qualitative study relies on a multi-informants (youth, parents, clinicians) and multiple case study design to explore YMH collaborative services for migrant youth living in an urban setting (Montreal, Canada). Participants are five young patients (12–15 years old), one of their parents and their primary care therapist ( N = 15). They come from migrant families, have a psychiatric diagnosis and have been receiving mental health services in a collaborative care setting for at least 6 months. Transcripts of semi-structured interviews for the five triads were thematically analyzed to draw similarities and contrasts between actors, across and within case-studies. Based on these findings, four themes emerged concerning the optimal care setting for collaborative YMH services for migrant families: (1) providing an equilibrium between communication, collaboration and privacy/confidentiality, (2) special attention to ensuring the continuity of care and the creation of a welcoming environment where trusting relationships can develop, (3) the inclusion of family intervention, and (4) the provision of collaborative decision-making pathways to care, addressing interprofessional and interinstitutional collaboration as well as cultural differences in explanatory models and values.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".