Meeting the unmet need for depression services with psycho-educational self-confidence workshops: preliminary report
Bibliographic record
Abstract
BACKGROUND: The prevalence of depression has not fallen despite effective treatments being available. AIMS: To examine the effectiveness of a psycho-educational intervention designed to be easily accessible. METHOD: Large-scale, self-referral 'How to improve your self-confidence' workshops were run in a leisure centre at weekends. The day-long programme used a cognitive-behavioural approach. A randomised controlled trial design using waiting-list controls was employed. Three months after the workshop, results of workshop participants were compared with those of the waiting list control group. RESULTS: Among 120 people who self-referred, 75% of participants had General Health Questionnaire scores of 3 and above. Over 39% had never previously consulted their general practitioners about their depression. At 3-month follow-up, members of the experimental group were significantly less depressed, less distressed and reported higher self-esteem. CONCLUSIONS: Workshops were shown to be accessible and effective; a larger, more rigorous trial is now needed.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".