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Record W2930223026 · doi:10.1192/bja.2019.13

Rehabilitation and recovery for ethnic minority patients with severe mental illness

2019· article· en· W2930223026 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.

Bibliographic record

VenueBJPsych Advances · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnic groupPsychological interventionMental illnessRehabilitationMental healthDeclarationPsychologyMinority groupMedicinePsychiatryPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

SUMMARY There is growing evidence to support recovery and rehabilitation services and interventions for people with severe mental illness (SMI). However, those from ethnic minority communities face inequitable outcomes and access to mental health services and poorer functional outcomes. This article reviews the evidence and discusses facilitators and barriers in the recovery journey of people with SMI from ethnic minority groups. Although there is limited evidence for specific interventions for ethnic minority patients, areas for future study and action are discussed. LEARNING OBJECTIVES After reading this article you will be able to: • understand the scope of rehabilitation practices and interventions and evidence for use with ethnic minority patients with severe mental illness • describe differences and similarities in the conceptualisation of recovery by majority and minority ethnic communities • appreciate facilitators and barriers to rehabilitation and recovery for ethnic minority patients with SMI. DECLARATION OF INTEREST None.

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 score0.110
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.389
Teacher spread0.369 · 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