The Public Cost of Mental Health– and Addiction-Related Services for Youth (Ages 12-17) in Alberta
Bibliographic record
Abstract
OBJECTIVE: To measure the provincial government cost of mental health-related activities for youth ages 12 to 17 in Alberta in 2014 to 2015. METHODS: The target population was Alberta youth ages 12 to 17 (the federal justice definition) who received or were funded for mental health-related or complementary services from Alberta Health Services, Alberta Health, Alberta Human Services, Alberta Justice and Solicitor General, and Alberta Education (public schools). Data on services and expenditures were obtained from each source for the target youth population. RESULTS: Costs for mental health-related services for all ministries were $175 million for 27,169 youth who used mental health services as defined by Policy Wise, $6460 per youth. Public school special education supplements for youth with emotional problems was the largest group, amounting to 30% of all costs. Other prominent sources of expenditures were hospital inpatient mental health services (18%), community mental health services (11%), physician mental health services (10%), and secure services with treatment requiring judicial approval (9%). CONCLUSION: Economists in several countries have developed countrywide measures of mental health expenditures and have used these to generate national benchmarks for mental health spending. We have estimated spending for Alberta provincial mental health and addiction services for a distinct and highly vulnerable group. This measure can be used to develop measures and benchmarks for other provinces, which will be valuable policy indicators.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".