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Duration of untreated psychosis and pathways to care in patients with first‐episode psychosis in Iran

2009· article· en· W2056524997 on OpenAlexaff
Vandad Sharifi‎, Tahereh Kermani‐Ranjbar, Homayoun Amini‎, Javad Alaghband‐Rad, N. Salesian, Arshia Seddigh

Bibliographic record

VenueEarly Intervention in Psychiatry · 2009
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsDalhousie University
FundersUniversity of Tehran
KeywordsdupPsychosisPsychiatryMedicineEarly psychosisResidenceSchizophrenia (object-oriented programming)Acute PsychosisPediatricsPsychologyDemography

Abstract

fetched live from OpenAlex

AIM: This is the first study on the duration of untreated psychosis and pathways to care among patients with first-episode psychosis in Iran as a developing country. METHODS: Ninety-one patients with a first episode of non-organic psychosis admitted to a university-affiliated psychiatric hospital in Iran were assessed for duration of untreated psychosis (DUP), pathways to care and mode of onset. RESULTS: Median DUP was 11 weeks (mean = 52.3 weeks). Following the onset of psychosis, most patients were first seen by a psychiatrist (n = 23, 25.3%), a traditional healer (n = 21, 23.1%) or a general practitioner (n = 16, 17.6%). Most referrals to the psychiatric hospital were made by the family (n = 30, 33.1%), or health professionals (n = 29, 31.9%). Acute onset and rural place of residence were associated with shorter DUP in multivariate analysis. CONCLUSIONS: Median DUP was not long in an inpatient sample with first-episode psychosis, which may be due to the preponderance of affective and acute psychoses in this sample and some help-seeking or service variables.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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

Citations38
Published2009
Admission routes1
Has abstractyes

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