Implementation of a Recovery College Embedded in a Swedish Psychiatry Organization: Qualitative Case Study
Bibliographic record
Abstract
BACKGROUND: Recovery colleges are service user-led educational interventions aiming at empowering people with mental health issues and promoting recovery through peer learning. Despite the increasing interest in recovery colleges in recent years and the demonstrated beneficial effects for users, there is limited research addressing aspects that influence their implementation. This knowledge is necessary for the successful integration of such interventions in various contexts. OBJECTIVE: This study aims to explore factors that influence the implementation of a recovery college embedded within a Swedish psychiatry organization. METHODS: A qualitative case study of a recovery college based on semistructured interviews with 8 course participants, 4 course leaders, and 4 clinical staff was conducted. The transcripts were scrutinized with conventional content analysis, and the interpretation of results was guided by the Consolidated Framework for Implementation Research. RESULTS: The findings highlight key areas that either hinder or promote the successful implementation of the recovery college. These areas included recruitment, resources, staff attitudes, and ways of organizing courses. Each area has elements that appear both as facilitators and barriers, demonstrating the duality of conditions. CONCLUSIONS: Allocating dedicated resources, engaging individuals with service user experience as organizers who are willing to share their personal experience, having an open-door policy, creating an open space for participants to share their experiences, and offering practical advice and written material are useful to create favorable conditions for a recovery college to reach its goals of empowering psychiatry service users.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".