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Record W4408295453 · doi:10.1080/00207411.2025.2472434

Factors associated with satisfaction with outpatient service use among permanent supportive housing residents

2025· article· en· W4408295453 on OpenAlexafffundabout
Bahram Armoon, Marie‐Josée Fleury

Bibliographic record

VenueInternational Journal of Mental Health · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteDouglas College
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSupportive housingService (business)Patient satisfactionHousing FirstMedicinePsychologyPsychiatryNursingBusinessMental healthMental illnessMarketing

Abstract

fetched live from OpenAlex

Permanent supportive housing (PSH) is the main approach advocated for eradicating homelessness and coordinating outpatient care. Since service user satisfaction is a key quality-of-care indicator, this study sought to identify predisposing, need, and enabling factors associated with outpatient service use satisfaction among 308 PSH residents. In 2020–2022, participants were recruited through 25 Montreal (Canada) housing organizations and completed a structured interview. Multivariable linear regression was performed based on the Gelberg-Andersen Behavioral Model to test comprehensive factors associated with service use satisfaction over 12 months. Being 50–64 years old, having suicidal behaviors and greater functional disability were found to be negatively associated with outpatient service use satisfaction. Conversely, PSH residents with more outpatient service use and higher community integration reported more service satisfaction—though living in scatter- or single-site PSH and length of residency were not related to service satisfaction. These findings suggest that monitoring prompt access to care and adequate follow-up care may be enhanced for PSH residents, especially for those aged 50–64 who show suicidal behaviors or greater functional disability. Moreover, PSH could better promote community integration to increase their residents’ knowledge of neighborhood resources and sense of belonging. Active participation in community-based activities might also bolster service satisfaction.

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)0.000
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 score0.066
Threshold uncertainty score0.994

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 integrity0.0000.001
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 head0.068
GPT teacher head0.424
Teacher spread0.356 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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