Exploring Harm Reduction in Supportive Housing for Formerly Homeless Older Adults
Bibliographic record
Abstract
Background: Exclusionary care policy contributes to the growing number of older adults experiencing homelessness and complex health challenges including substance misuse. The aim of this study was to examine how harm reduction policy and practices are experienced and enacted for older adults with homeless histories and care staff in congregate supportive housing. Methods: Drawing on harm reduction (HR) principles, Rhodes' risk environment framework, and 15 semi-structured interviews (six residents, nine staff) at a 70-bed supportive housing facility in Western Canada, this qualitative constructivist grounded theory study aimed to determine: How is harm reduction experienced and enacted from the perspectives of older adults and their care staff? Results: HR policy and practices helped residents to feel respected and a sense of belonging, due largely to staff's understanding of structural vulnerability related to homelessness and their efforts to earn and maintain residents' trust. Physical and program structures in the facility combined with the social environment to mitigate harms due to substance- and nonsubstance-related risk behaviours. Conclusion: HR policy and practices in supportive living empower care providers and older adults to work together to improve housing and health stability. Wider adoption of HR approaches is needed to meet the needs of a growing number of older people experiencing homelessness and substance use challenges.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 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".