Mechanisms of change and participant outcomes in a Recovery Education Centre for individuals transitioning from homelessness: a qualitative evaluation
Bibliographic record
Abstract
BACKGROUND: Recovery Education Centres (RECs) are increasingly implemented to support the process of recovery for individuals experiencing mental health challenges. However, the evidence on key REC mechanisms and outcomes, particularly for diverse subpopulations or service delivery contexts is scant. This study identified mechanisms and outcomes of an REC focused on adults with mental health challenges transitioning from homelessness. METHODS: Qualitative methods were used to explore in-depth the experiences of homeless and unstably housed participants experiencing mental health challenges in Toronto, Canada. Twenty service users participated in semi-structured interviews between July 2017 and June 2018, six to 14 months following REC enrollment. A realist informed interview guide explored participants' perspectives on key REC mechanisms and outcomes. Interviews were audio-recorded, transcribed verbatim and analyzed using inductive thematic analysis. Investigator triangulation and member checking processes enhanced analytical rigour. RESULTS: Participants perceived that program participation supported the process of recovery through several mechanisms: a judgment-free environment; supportive relationships, mutuality and role modelling; deconstruction of self-stigma; and reclaiming of one's power. Participants described several outcomes at the personal, interpersonal and social levels, including improvements in health and well-being; self-esteem, confidence and identity; sense of empowerment, control and personal responsibility; as well as improvements in interpersonal skills, pro-social behaviours and ability to self-advocate; and increased goal development and future orientation. CONCLUSIONS: Findings suggest RECs can support the process of recovery among people transitioning from homelessness and can successfully support subpopulations experiencing mental health challenges and social disadvantage.
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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 | 0.063 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".