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Pathways to care: help seeking behaviour in first episode psychosis

2002· article· en· W2005658850 on OpenAlexaff
J. Addington, Sarah van Mastrigt, John Hutchinson, Donald Addington

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2002
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoUniversity of Calgary
Fundersnot available
KeywordsPsychosisPsychiatrySchizophrenia (object-oriented programming)Help-seekingPsychologyProdromeEarly psychosisMedicineClinical psychologyMental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the number of attempts it took before patients with a first episode of psychosis received adequate help, the signs or symptoms that led them to seek help and the people from whom they attempted to seek help. METHOD: Subjects were 86 individuals with a schizophrenia spectrum disorder, mainly schizophrenia, who were attending a comprehensive program for early psychosis treatment. RESULTS: Help-seeking attempts began in the prodromal phase of the illness and continued into the psychotic phase. Concerning behaviours ranged from more general symptoms to psychotic symptoms. A range of contacts were made early on but emergency services were most often the contact that helped individuals obtain appropriate treatment for psychosis. CONCLUSION: Improved public education and gatekeeper education might reduce the time required for individuals developing a psychosis to receive timely and adequate care.

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)0.008
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.285
Teacher spread0.261 · 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

Citations191
Published2002
Admission routes1
Has abstractyes

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