‘Stress Control Schools’: training PSE teachers to deliver a CBT-based intervention for common mental health problems
Bibliographic record
Abstract
Abstract Demand currently greatly outweighs supply in teenage mental health, with statutory services and the third sector struggling to cope with the number of referrals. There is increasing interest in the possibility of using schools to provide mental health interventions. This pilot study looked at the feasibility of developing a version of an existing evidence-based transdiagnostic large-class didactic approach widely used in NHS adult services – ‘Stress Control’ – for use with teenagers as a universal early intervention/prevention approach taught by teachers within the Personal and Social Education (PSE) curriculum in a high school in a highly deprived area. PSE teachers were trained, over five hours, to deliver each of the eight sessions in single weekly periods. Measures of anxiety and depression (RCADS) and wellbeing (WEMBWS) were administered at pre- and post-intervention and at 9-month follow-up. Results suggest that teachers reported few problems in delivering the approach, seen as relevant by pupils and showed significant reduction in anxiety and depression and significant gains in wellbeing at post-intervention. These gains were maintained at 9-month follow-up. There appears to be potential in this model. One of its strengths appears to be the positive collaboration between the psychologist, teachers and pupils, which resulted in changes being made to the original model. Limitations of the study and suggestions for future research are given. Key learning aims (1) To learn if an evidence-based adult psychoeducational approach can be adapted to meet the needs of teenage pupils in a school in a deprived neighbourhood. (2) To learn if teachers, with no training in mental health, can deliver this approach. (3) To test the viability of the approach with an aim of creating a sustainable intervention.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".