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Record W2317659795 · doi:10.1177/070674371506001102

Housing First for People with Severe Mental Illness Who are Homeless: A Review of the Research and Findings from the at Home—Chez soi Demonstration Project

2015· review· en· W2317659795 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2015
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsMental illnessGerontologyPsychologyPsychiatryMedicineMental healthClinical psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide a review of the extant research literature on Housing First (HF) for people with severe mental illness (SMI) who are homeless and to describe the findings of the recently completed At Home (AH)-Chez soi (CS) demonstration project. HF represents a paradigm shift in the delivery of community mental health services, whereby people with SMI who are homeless are supported through assertive community treatment or intensive case management to move into regular housing. METHOD: The AH-CS demonstration project entailed a randomized controlled trial conducted in 5 Canadian cities between 2009 and 2013. Mixed methods were used to examine the implementation of HF programs and participant outcomes, comparing 1158 people receiving HF to 990 people receiving standard care. RESULTS: Initial research conducted in the United States shows HF to be a promising approach, yielding superior outcomes in helping people to rapidly exit homelessness and establish stable housing. Findings from the AH-CS demonstration project reveal that HF can be successfully adapted to different contexts and for different populations without losing its fidelity. People receiving HF achieved superior housing outcomes and showed more rapid improvements in community functioning and quality of life than those receiving treatment as usual. CONCLUSIONS: Knowledge translation efforts have been undertaken to disseminate the positive findings and lessons learned from the AH-CS project and to scale up the HF approach across Canada.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.910
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.127
GPT teacher head0.430
Teacher spread0.303 · 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