Transition of psychiatric care from childhood to adulthood: An opportunity for adult psychiatry
Bibliographic record
Abstract
Abstract According to the American Academy of Child and Adolescent Psychiatry (AACAP), 50% of all lifetime cases of mental illness begin by age 14, and 75% by age 24 (1). Development is a life-long process, but adult development is generally more gradual and less critical than that of children and adolescents. That is why the role of development in child psychiatry is particularly important, contrary to the adult psychiatry, more focused on the categorical definition of the observed clinical situation. Autism Spectrum Disorders (ASD) in particular, characterized by heterogeneity, may evolve to adulthood with an atypical presentation. Approximately a quarter of autistic adults reported being misdiagnosed with at least one psychiatric condition before receiving an autism diagnosis. Personality disorders, mood disorders, and anxiety disorders were most frequently perceived as misdiagnoses, according to Fusar-Poli et al (2). The contact between adult psychiatry and child and adolescent psychiatry, may be organized in transition care settings (outpatient care, clinical discussions, …). These practices may have a major impact in adult psychiatry practice, emphasizing the importance of a developmental approach, at any given time and with each patient, going beyond the classical inquiry about clinical and personal backgrounds. It also helps adult’s psychiatrists to keep in mind diagnostic hypotheses of neurodevelopmental disorders, which are usually more focused on child and adolescent psychiatry. A clinical case will be presented to illustrate our thesis. Disclosure of Interest None Declared
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".