Lessons on Recovery through Examination of a Peer-Based Housing Support Project
Bibliographic record
Abstract
INTRODUCTION: Peer-based housing support for people with severe mental illness who are at risk of homelessness is a promising, though understudied, intervention approach. OBJECTIVES: To examine how well an Edmonton pilot project implementing peer-based housing supports addressed factors contributing to independent living and recovery as described within its program design and logic model. METHODS: Retrospective chart review of case files of 5 former clients described activities delivered by peer workers and other pilot project staff. Semi-structured interviews with 4 former clients and 8 mental health therapists characterized factors associated with the expected outcomes in the logic model. Project delivery was compared to the factors that were identified in the interviews to assess the extent to which delivery could achieve the intended outcomes. RESULTS: Case files provided evidence that activities of peer workers not only addressed areas in the program design but extended beyond it, including issues related to medications, wellness, and victimization, among others. Interview data revealed additional factors believed to influence the outcomes of interest. Contrary to the project’s logic model, these factors could be better organized as a “Recovery Wheel” ecological framework with five domains: personal, intrapersonal, interpersonal, institutional, and societal. CONCLUSION: The ecological framework that emerged from this study consolidates and highlights factors identified in published recovery models and reveals others, specifically in the personal domain (cognition, personality, upbringing, and history), that have not previously been included. Results suggest that peer workers contribute to recovery and independent living through application of their lived experience. Further research is required to confirm and expand the Recovery Wheel with a larger and more diverse sample, and to explore how lived experience can be mobilized to promote recovery.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".