Attention Deficit Hyperactivity Disorder Presentations to The Child and Adolescent Mental Health Urgent Consult Clinic.
Bibliographic record
Abstract
OBJECTIVE: The objective of the present study is to compare and contrast demographic and clinical characteristics of patients diagnosed with and without ADHD referred to the Child and Adolescent Mental Health Urgent Consult Clinic (CAMHUCC) in order to identify any differences between the patient groups and potentially improve care of these patients in the community. METHODS: This is retrospective cohort study of all children and adolescents, who were referred to the CAMHUCC between 2012 and 2014. Using data routinely collected at the clinic, individuals with ADHD were compared to individuals without ADHD. Data analysis was conducted using frequencies, percentages, means and standard deviations to describe participant demographic and clinical information, and comparisons between individuals with and without ADHD was made using Mann-Whitney U statistics. RESULTS: Of the 803 urgent assessments at the clinic, 367 (45.7%) were diagnosed with ADHD. Individuals with ADHD were statistically significantly more likely to be younger, male, referred for aggression, and not living with both parents. Individuals with ADHD were also more likely to be referred for follow-up than those without ADHD, and were more likely to have had at least one previous admission to the CAMHUCC. CONCLUSIONS: Individuals with ADHD account for a significant proportion of child and adolescent presentations to CAMHUCC. Provision of urgent psychiatric care to young people with ADHD represents a significant utilization of resources on health care in terms of initial assessment, higher rates of follow up care, need for risk assessment and referral to CMHA.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".