Key attributes of integrated community-based youth service hubs for mental health: a scoping review
Bibliographic record
Abstract
BACKGROUND: Community-based, integrated youth service hubs have the potential to address some of the longstanding issues with mental health services for youth, including problems with access and system fragmentation. Better understanding of these approaches, particularly efforts to create a single point of entry to comprehensive, evidence-based services through youth service hubs, is needed to help guide future implementation and evaluation. This scoping review identifies the key principles and characteristics of these models of care, as well as the state of the literature, particularly with regard to implementation and replicability. METHOD: Electronic databases and grey literature sources were searched for material from 2001 to 2019, with diverse search terms capturing the concept of "integrated" or "one-stop shop" youth mental health services. Title/abstract and full text review were conducted, as well as additional focused searching. After screening 4891 texts at the title/abstract level and 496 at the full-text level, 110 documents were included for data extraction. RESULTS: Several integrated care hub models for youth mental health services and related frameworks were identified internationally, largely in high-income countries. Common principles included an emphasis on rapid access to care and early intervention, youth and family engagement, youth-friendly settings and services, evidence-informed approaches, and partnerships and collaboration. Program characteristics also revealed similarities (e.g., providing evidence-informed or evidence-based services in youth-friendly spaces), with some differences (e.g., care coordination methods, types of service providers), potentially attributable to lack of available information about key ingredients. Outcome research was limited, with few rigorous evaluations of youth outcomes. Moreover, sufficient information for replication, community evaluation of feasibility or actual implementation was rarely provided. CONCLUSION: Internationally, integrated youth service hubs were found to share common key principles, while providing comprehensive services to youth with mental health difficulties. There is a great need for common language and measurement framework to facilitate replication, rigorous evaluation of outcomes, knowledge exchange, and dissemination of findings.
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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 | 0.035 | 0.118 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.036 | 0.038 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".