Pediatric Referrals for Urgent Psychiatric Consultation: Clinical Characteristics, Diagnoses and Outcome of 4 to 12 Year Old Children.
Bibliographic record
Abstract
OBJECTIVES: 1) To describe clinical characteristics and outcomes of children referred for urgent psychiatric consultation to a Child and Adolescent Mental Health Urgent Consult Clinic (CAMHUCC); and, 2) To study the association between referral source, clinical characteristics, and post assessment outcome. METHOD: This is a 12-month retrospective cohort study of children aged 4 to 12-years referred to a CAMHUCC. The clinic's electronic data base contains demographic and clinical information including reason for referral, diagnosis, and consult outcome. Study data were extracted and analyzed using descriptive statistics and Mann-Whitney U tests. RESULTS: The study sample consisted of 120 children, 41.5% male, average age 9.03 years (SD=2.2). Fifty-percent were referred by Children's Mental Health Agencies (CMHA) and 31.7% by Emergency Departments. The most frequent reason for referral was aggression (64.1%). Most common diagnoses were externalizing disorders (76.7%). Thirty-percent had an identified learning disorder, 80% were referred back to the community and 14.2% were referred to outpatient clinic. There was a significant association between referral from an Emergency Department and female gender (p=0.048) and brief follow-up with CAMHUCC (p=0.006). CONCLUSION: Regardless of source of referral, the most common reason for urgent psychiatric referral was aggression and the majority of individuals did not require inpatient psychiatric care. Collaborative multiagency education in child and adolescent mental health disorders, including the role of learning disabilities in externalizing behaviors, may improve the capacity of CMHA and schools to identify and provide focused interventions that may, in turn, reduce behavioral crisis and visits to Emergency Departments and urgent clinics.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".