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Record W4407420961 · doi:10.1111/eip.70014

Client Perspectives on Addressing Intimacy, Romance and Sexuality in Early Psychosis Intervention Programmes

2025· article· en· W4407420961 on OpenAlexaff
Stephanie M. Woolridge, Isabelle Hau, Chloe Stewart, Savie Edirisinghe, Robert Aidelbaum, Michael W. Best, Christopher R. Bowie

Bibliographic record

VenueEarly Intervention in Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of GuelphThe Scarborough HospitalToronto Metropolitan UniversityQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsRomanceHuman sexualityIntervention (counseling)Relevance (law)PsychologyPsychosisQuality (philosophy)Clinical psychologyDevelopmental psychologySocial psychologyPsychiatryGender studiesSociology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study investigated the perspectives of clients in early psychosis intervention programmes regarding the types, quality and relevance of information they desire and receive, particularly related to intimacy, romance and sexuality. METHODS: Participants (N = 35) rated the degree to which they desired and received information on topics related to treatment and recovery, as well as the quality and importance of that information. RESULTS: Between 25% and 50% of participants desired information on friendships, sexual functioning, sexual desire, sexual risk factors and romantic relationships. Less than half of participants who wanted information on romantic relationships, friendships, sexual desire and sexual functioning received this information. When this information was provided, however, participants reported it to be of high quality. CONCLUSIONS: Findings demonstrate that intimacy, romance and sexuality remain areas of need that are relevant to recovery for people with psychosis, yet they continue to be insufficiently addressed in healthcare settings.

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)0.007
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.379
Teacher spread0.357 · 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 designQualitative
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

Citations1
Published2025
Admission routes1
Has abstractyes

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