Evaluating recovery colleges: a co-created scoping review
Bibliographic record
Abstract
BACKGROUND: Recovery Colleges (RCs) are education-based centres providing information, networking, and skills development for managing mental health, well-being, and daily living. A central principle is co-creation involving people with lived experience of mental health/illness and/or addictions (MHA). Identified gaps are RCs evaluations and information about whether such evaluations are co-created. AIMS: We describe a co-created scoping review of how RCs are evaluated in the published and grey literature. Also assessed were: the frameworks, designs, and analyses used; the themes/outcomes reported; the trustworthiness of the evidence; and whether the evaluations are co-created. METHODS: We followed Arksey and O'Malley's methodology with one important modification: "Consultation" was re-conceptualised as "co-creator engagement" and was the first, foundational step rather than the last, optional one. RESULTS: Seventy-nine percent of the 43 included evaluations were peer-reviewed, 21% grey literature. These evaluations represented 33 RCs located in the UK (58%), Australia (15%), Canada (9%), Ireland (9%), the USA (6%), and Italy (3%). CONCLUSION: Our findings depict a developing field that is exploring a mix of evaluative approaches. However, few evaluations appeared to be co-created. Although most studies referenced co-design/co-production, few described how much or how meaningfully people with lived experience were involved in the evaluation.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.004 | 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 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".