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Record W2794465666 · doi:10.1093/schbul/sby016.528

T252. TREATMENT DELAY AND OUTCOME COMPARISON OF EXTENDED EARLY INTERVENTION SERVICE AND STANDARD PSYCHIATRIC CARE FOR ADULTS PRESENTING WITH FIRST-EPISODE PSYCHOSIS IN HONG KONG

2018· article· en· W2794465666 on OpenAlexaboutno aff
Wing Chung Chang, Chun Ho, Chi Fai Or, Tsz Ting Liu, Fu Chun Lau, O K Chu, Christy Lai Ming Hui, Sherry Kit Wa Chan, Edwin Lee, Yi Nam Suen, Eric Chen

Bibliographic record

VenueSchizophrenia Bulletin · 2018
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsdupGlobal Assessment of FunctioningIntervention (counseling)PsychiatryPsychologyPositive and Negative Syndrome ScalePsychosisDepression (economics)Schizophrenia (object-oriented programming)MedicineClinical psychology

Abstract

fetched live from OpenAlex

A territory-wide specialized early intervention (EI) service for psychosis (EASY) has been implemented in Hong Kong since 2001, providing 2-year phase-specific early assessment and clinical care to young people aged 15–25 years presenting with first-episode psychosis (FEP). Previous evaluation demonstrated superiority of EASY programme over standard care in outcome improvement in FEP. Recently, EASY has been extended to provide 3-year EI service to FEP patients aged 15 to 64 years. However, effectiveness of EI on adult FEP populations has not been well examined. This study adopted case versus historical-control design, comparing patients received 3-year EASY treatment (EI group) with those managed by standard psychiatric care (SC group) prior to implementation of EASY extension in terms of treatment delay and outcomes in symptom and functioning. In total, 320 Chinese adult FEP patients aged 26–55 years (160 in EI group, 160 in SC group) were included in the study. Retrospective record review detailing service utilization over 3-year treatment period was conducted. Follow-up interview assessment (on average 48.3 months after service entry) encompassing premorbid adjustment, duration of untreated psychosis (DUP), clinical (Positive and Negative Syndrome Scale, PANSS; Calgary Depression Scale, CDS), functional (Role Functioning Scale, RFS) and treatment profiles was administered. Comparison analyses on DUP and service utilization were based on record review data of 320 patients. Clinical and functional outcome analyses focused on data collected from follow-up interview assessment (251 patients completed follow-up assessment, 130 from EI and 121 from SC groups). EI and SC groups were comparable regarding demographics, premorbid and baseline characteristics, except the use of second-generation antipsychotic (SGA) treatment (EI patients were more likely to receive SGA than SC patients). EI patients had significantly shorter DUP than SC counterparts (p=0.015). Regarding follow-up outcomes, EI patients displayed lower levels of negative (p=0.044) and depressive symptoms (p=0.055), higher scores in RFS immediate social network (p=0.027) and lower rates of service disengagement (p=0.048) than SC patients even when SGA use and DUP were adjusted as covariates in analysis of covariance for comparison. There were no significant group differences in admission and suicide rates. Our results indicate that extended EASY service achieve favorable outcomes in adult FEP patients on shortening of treatment delay and improvement in negative symptoms and social functioning, and service disengagement reduction. Further evaluation is required to assess the sustainability of positive effects.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.321
Teacher spread0.303 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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