Variables associated with deterioration in quality of life among individuals living in permanent supportive housing in Quebec during the COVID-19 pandemic
Bibliographic record
Abstract
This study aimed to identify sociodemographic and clinical characteristics and service use associated with deterioration in quality of life (QoL) among individuals residing in permanent supportive housing (PSH) during the COVID-19 pandemic. Between 2020-2022, PSH residents (n=231) were recruited from congregate and scattered site PSH in Montreal (Quebec/Canada). Multivariate logistic regression was used to test associations between QoL and PSH characteristics. Most participants (62%) reported deterioration in QoL. Decreased in PSH follow-up care and biopsychosocial services other than those from physicians, especially in basic needs, having still mental disorders (MD) or COVID-19 were found the most associated with QoL deterioration. Residing in PSH for 10+ years versus <2 years, high satisfaction with PSH, and access to public specialized outpatient services were identified as protective factors against deterioration in QoL. The findings demonstrated that comprehensive services for PSH residents may be intensified during a pandemic to protect against deterioration in QoL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".