Profiles of quality of life among residents in permanent supportive housing during the COVID-19 pandemic
Bibliographic record
Abstract
This study identified profiles of quality of life (QoL) deterioration among permanent supportive housing (PSH) residents during the COVID-19 pandemic, which hasn’t been reported on yet. Between November 2020 and April 2022, 231 PSH residents from Quebec (Canada) were interviewed. Patient profiles were identified with Cluster Analysis based on the participants’ sociodemographic and clinical characteristics, and service use were compared (p < 0.05). Three QoL profiles were identified, with 62% of sample reporting QoL deterioration. Profile 1 (26% of sample) included middle-aged men living mostly in congregate PSH since 5 + years, having high social support, few health problems, and perceiving low deterioration of their health conditions and QoL. Profile 2 (44%) included residents living in PSH less than 2 years, with low social support, highly affected by serious mental disorders, few by COVID-19, perceiving deterioration of their mental health conditions and QoL. Profile 3 (30%) included younger residents living in congregate PSH for 2–5 years, with low social support, high health problems, and perceived deterioration of health conditions and QoL. The study underlined the importance of sustaining housing and care access in a pandemic context for individuals with the most unmet needs, more at risk of QoL deterioration.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".