Trends in annual and lifetime prevalence of child and adolescent mental health service use in the UK between 1991 and 2023: Welsh healthcare register linkage study
Bibliographic record
Abstract
ResultsIn 2004, 0.8% (n = 4665) of the total child and adolescent population were in contact with CAMHS.By 2022, this had risen nearly five-fold to 3.9% (n = 19 870) of the total child and adolescent population.Among the 1991 birth cohort who turned 18 in 2009, 5.8% had contact with CAMHS at some stage in childhood or adolescence.For individuals born in 2005 who turned 18 in 2023, this figure had risen to 20.2%. ConclusionsThe number of the young people in contact with CAMHS has increased dramatically over the past 15 years, from 1 in 17 young people who turned 18 in 2009 to 1 in 5 young people who turned 18 in 2023.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".