Insights from homeless men about PRISM, an innovative shelter-based mental health service
Bibliographic record
Abstract
PRISM (Projet Réaffiliation Itinérance Santé Mentale-mental health and homelessness reaffiliation project), is a new shelter-based mental health service in Montreal, Canada. It offers short-term residential services in a shelter with the aim of housing and connecting the person to the appropriate services in the community. This qualitative research project was designed to gain a rich understanding of service-user experience within this program, and to apply these impressions to a broader reflection concerning how to best serve the needs of homeless people living with severe mental illness. We conducted in-depth interviews with 20 clients from the all-male PRISM-Welcome Hall Mission at program intake and departure between May 2018 and March 2019. We used methods stemming from grounded theory to analyze themes emerging from the interviews. Analysis revealed three core aspects endorsed by PRISM clients as helpful to their recovery: first, the community-based and flexible PRISM structure allows for continuity in daily routine through the preservation and expansion of the client's existing informal resource network; second, the secure environment is conducive to improving one's physical and mental health; and third, the multimodal mental health and social service approach used at PRISM is appreciated and stands in contrast to what most have experienced during other inpatient experiences. This led us to reflect more broadly on the benefits of a shelter-based intervention, as a catalyst to the achievement of longer-term goals such as housing, as well as flexible care adapted to the specific needs of these individuals. Even though this study took place in a specific program in Quebec, it sheds light more broadly on how to best meet the needs of individuals with mental illness living in homeless situations and contributes to the growing literature on men's mental health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".