MétaCan
Menu
Back to cohort

An examination of patient-identified goals for treatment in a first-episode programme in Chennai, India

2011· article· en· W1652046083 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEarly Intervention in Psychiatry · 2011
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersCanadian Institutes of Health ResearchFogarty International CenterNational Institutes of HealthCanada Research Chairs
KeywordsMedicineFamily medicine

Abstract

fetched live from OpenAlex

AIM: Our objective was to describe the goals identified by patients upon entering a specialized programme for treatment of first-episode psychosis (FEP) in Chennai, India. METHODS: 68 patients with FEP completed the Goal Attainment section of the Wisconsin Quality of Life-Client Questionnaire upon entry into treatment. Patients were asked to identify a maximum of three treatment goals and rate each identified goal on its importance and the extent of its achievement. RESULTS: In the order of frequency of endorsement, the primary goals identified pertained to work, family/interpersonal relationships, education, symptom relief and psychological recovery, living condition, religion, finances, and household responsibilities. All patients identified at least one goal, 41 patients identified two goals, and 11 patients identified three goals. CONCLUSION: Individuals with FEP in India present with a range of realistic and reasonable goals. Findings have implications for improving early intervention services in India by targeting patient-identified goals.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.091
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.321
Teacher spread0.286 · 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