Pervasive developmental disorder and early intervention in psychosis services: a survey of care coordinators' experiences
Bibliographic record
Abstract
AIM: To evaluate the experience of care coordinators encountering clients with co-morbid diagnoses or features of pervasive development disorder (PDD) in an Early Intervention in Psychosis (EIP) service. METHODS: A cross-sectional survey was conducted using a semi-structured face-to-face interview schedule. RESULTS: Thirty-three care coordinators were interviewed. One-third of the care coordinators had previously encountered at least one client with a co-morbid diagnosis of PDD, with the majority feeling confident that they could recognize the features of the syndrome. The estimated reported prevalence of diagnosed PDD in this group was around 4-5%, although social and communication impairments were regularly encountered in clients by at least a quarter of the clinicians interviewed. CONCLUSIONS: Social and communication problems are commonly observed by clinicians in this population and some may represent the presence of a co-morbid PDD. Further efforts should be made to better identify and support this sub-population of EIP clients.
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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 | 0.002 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".