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Record W4410170999 · doi:10.1353/hpu.2025.a959116

How Does the Health of Public Housing Residents Compare With the Rest of the Population? A Survey of OMHTR Residents

2025· article· en· W4410170999 on OpenAlexaboutno aff
Marc‐André Blanchette, Stéphanie Wouters, Liette St-Pierre, Geneviève L. Lavigne

Bibliographic record

VenueJournal of Health Care for the Poor and Underserved · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthOddsLogistic regressionMedicinePublic healthGerontologyEnvironmental healthCommunity healthHealth careHealth equityOdds ratioPopulationNursingPsychiatry

Abstract

fetched live from OpenAlex

This study aimed to investigate the physical health, mental health, health-related behaviors, life satisfaction, and health care utilization of Office municipal d'habitation de Trois-Rivières (OMHTR) public housing residents compared with those of residents of the Mauricie region in Quebec. We administered a reduced version of the Canadian Community Health Survey (CCHS) to 150 OMHTR residents between July and November 2019, and compared the data with aggregated data from the 2018 CCHS for the Mauricie region using multivariable logistic regression. Results revealed significant disparities in health outcomes and service utilization patterns. OMHTR residents had higher odds of poor physical, oral, and mental health, along with dissatisfaction across various life domains. They also showed increased likelihood of seeking health care for mental health issues and reported injuries within the past year. These findings highlight considerable disparities in health outcomes and access to health care between OMHTR residents and their regional counterparts.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.084
GPT teacher head0.379
Teacher spread0.295 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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