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Record W2146394546 · doi:10.1111/eip.12171

Client and key worker ratings of need in first‐episode psychosis early intervention programmes

2014· article· en· W2146394546 on OpenAlexafffundabout
Jennifer Hensel, David Banayan, Chiachen Cheng, John Langley, Carolyn S. Dewa

Bibliographic record

VenueEarly Intervention in Psychiatry · 2014
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsCentre for Addiction and Mental HealthSt. Michael's HospitalCanadian Mental Health AssociationWomen's College HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchPublic Health Agency of Canada
KeywordsIntervention (counseling)DistressPsychologyMedicinePsychiatryNeeds assessmentClinical psychology

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to fill a gap in the literature by examining agreement on need as rated by clients and their key workers from first-episode psychosis early intervention programmes. Compared with adult populations and more chronic courses of illness, these clients may have unique needs given the onset of their illness in adolescence or early adulthood. METHODS: Needs agreement between clients and key workers was assessed using the Camberwell Assessment of Need in a sample of 188 client-key worker pairs recruited from six early intervention programmes in Ontario, Canada. Ratings were assessed with percentage agreement and prevalence-adjusted Cohen's kappa. RESULTS: At the aggregate level, both clients and key workers rated a mean of 2.6 unmet needs. Compared with other diagnoses, key workers rated significantly more unmet need in clients with primary psychotic disorders. Agreement between individual client and key worker ratings was highest (adjusted κ > 0.85) in the domains of telephone, risk to others, child care and accommodation. Lowest agreement (adjusted κ < 0.4) was found in the domains of psychological distress, sexual expression, company, daytime activities and intimate relationships. CONCLUSIONS: While congruence is present in concrete domains, there is substantial variability in how clients and their key workers perceive need in more personal areas. The initial focus of care may necessarily be on needs such as shelter, food and treatment; however, subsequent care should incorporate a shared assessment of need to support strong relationships with providers and ongoing engagement in treatment.

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 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)0.001
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 score0.045
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.299
Teacher spread0.288 · 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 teacher head, 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

Citations13
Published2014
Admission routes3
Has abstractyes

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