Service provision for depressed children and youth: a survey of the scope and nature of services in Ontario.
Bibliographic record
Abstract
Abstract Background The worldwide prevalence of depressive disorders among children and youth has been reported in ranges from just under 3% to over 10%. In Canada, 7% of youth report past year depression, which is higher than any other age demographic. Yet, many of these youth do not receive evidence based interventions, increasing their risk for serious lifetime consequences. To better understand low service use, it is crucial to map and evaluate current services. This study aimed to determine the scope and nature of services available to depressed children and youth, and compare services to best evidence treatment guidelines. Methods Several government and non-government resources were utilized to develop a new multi-sectoral database of depression services for children and youth across Ontario. An online survey was sent to program managers serving children/youth with depression, examining agency characteristics, populations served, services provided, patterns of service use, evaluation activities, and research priorities. Results 413 agencies with 869 program managers participated, representing mental health, addictions and other sectors. Age groups served included children up to 12 years of age (31%), adolescents aged 13-17 (70%) and transition aged youth (18-25 years) (81%). Over half of respondents worked in the mental health (43.4%) or mental health and addiction (24.4%) sectors. The most frequently provided services were assessment, psychotherapy, case management, and psychoeducation; the most common types of psychotherapy provided included cognitive behavioral therapy, social skills training, and solution-focused therapy. Psychotherapies are offered in widely varying formats, frequencies and durations. Discontinuation rates varied, with higher discontinuation among transition aged youth as compared to children. Respondents identified effective treatment, improving access, and reducing service gaps as top future research priorities. Conclusions This study provides important new data on service provision and uptake for depressed children and youth. Comparing these results with best-evidence practice guidelines raises significant concerns about the services most commonly offered and their delivery formats. In addition, high early discontinuation rates raise questions about the service experiences of children, youth and their families. Other factors which may contribute to ongoing treatment engagement challenges include access barriers, service or client characteristics, and unintentional treatment impacts.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".