Self-Help and Community Mental Health Agency Outcomes: A Recovery-Focused Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: Self-help agencies (SHAs) are consumer-operated service organizations managed as participatory democracies. Members are involved in all aspects of organizational management, because a premise of SHAs is that organizationally empowered individuals become more empowered in their own lives, which promotes recovery. The study sought to determine the effectiveness of combined SHA and community mental health agency (CMHA) services in assisting recovery for persons with serious mental illness. METHODS: A weighted sample of new clients seeking CMHA services was randomly assigned to regular CMHA services or to combined SHA-CMHA services at five proximally located pairs of SHA drop-in centers and county CMHAs. Member-clients (N=505) were assessed at baseline and at one, three, and eight months on five recovery-focused outcome measures: personal empowerment, self-efficacy, social integration, hope, and psychological functioning. Scales had high levels of reliability and independently established validity. Outcomes were evaluated with a repeated-measures multivariate analysis of covariance. RESULTS: Overall results indicated that combined SHA-CMHA services were significantly better able to promote recovery of client-members than CMHA services alone. The sample with combined services showed greater improvements in personal empowerment (F=3.99, df=3 and 491, p<.008), self-efficacy (F=11.20, df=3 and 491, p<.001), and independent social integration (F=12.13, df=3 and 491, p<.001). Hopelessness (F=4.36, df=3 and 491, p<.005) and symptoms (F=4.49, df=3 and 491, p<.004) dissipated more quickly and to a greater extent in the combined condition than in the CMHA-only condition. CONCLUSIONS: Member-empowering SHAs run as participatory democracies in combination with CMHA services produced more positive recovery-focused results than CMHA services alone.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".