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Record W2016606578 · doi:10.1016/s0924-9338(12)74473-5

P-306 - Adolescent day treatment program: outcomes and follow-up study

2012· article· en· W2016606578 on OpenAlexaffabout
C. Lakusta, C. Wilkes, Sonal Malhotra, G. Vaz, David Cawthorpe

Bibliographic record

VenueEuropean Psychiatry · 2012
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of CalgaryCalgary Laboratory Services
Fundersnot available
KeywordsDay treatmentPsychologyPediatricsMedicineInternal medicine

Abstract

fetched live from OpenAlex

Purpose The Adolescent Day Treatment Program (ADTP) established in Summer 2000 in Calgary, Alberta, Canada provides multi-disciplinary non-residential day treatment for mentally disturbed youth aged 13 to 18 years who suffer from moderate to severe forms of mental health disorders that do not to require hospitalization or as a step-down from hospitalization. The treatment approach includes pharmaco-therapy, psychiatric consultation, psycho-educational groups, individual, group and family therapy, occupational and recreational therapy and school board-operated educational programming. Methods Data descriptions and repeated measure analyses included variables representing demographics, length of stay, diagnoses, admission and discharge problem severity, goal achievement ratings, and Children's Global Assessment Scale (CGAS). Results Significant improvement was observed over the course of treatment in the majority of patients in outcome measures (problem severity and goal achievement) and CGAS. Follow-up of a sub-sample of those served indicates that function at the time of discharge best predicts adaptation at the time of follow-up. Discussion Day treatment appears to be effective and clinical effects persists at the time of follow-up and are predicted primarily by discharge function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.033
GPT teacher head0.314
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2012
Admission routes2
Has abstractyes

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