Active Mental Health NIHR-supported project Psychology & Behaviour

Co-designing and piloting the first UK whole-school solution-focused programme to improve student and staff mental wellbeing

In plain English

AI plain-English summary

A London secondary school will train all its staff in "solution-focused" techniques—brief, strengths-based conversations designed to build resilience and reduce anxiety—in the first UK test of a whole-school mental wellbeing programme. One in six children now has a mental health disorder, and nearly a million were referred to NHS services in 2022/23, yet 39% were turned away. Schools lack trained staff to manage rising student distress and staff burnout. Existing evidence shows that solution-focused approaches delivered by mental health professionals work, but no UK school has tried training every staff member—from teachers to lunchtime supervisors—to use these techniques in everyday interactions. If the programme succeeds, it could offer a sustainable, low-cost alternative to overstretched child mental health services. Instead of waiting months for a specialist referral, a student might get a five-minute conversation that shifts their mindset and reduces anxiety. The researchers will co-design the programme with one large all-through school, then pilot it to measure impacts on attendance, behaviour, academic engagement, and staff wellbeing. If the model works, it could be rolled out nationally, potentially reducing pressure on NHS waiting lists and improving long-term outcomes for thousands of young people.

View original technical description
One in six children are thought to have a mental health disorder. Nearly a million children were referred to mental health services in 2022/23, with 39% not accepted for treatment. Schools are struggling to manage behaviour, student mental health difficulties and staff stress. This affects children's future life outcomes. Currently, school staff are not trained in approaches to support wellbeing. Strengths based solution-focused approaches that build agency and resilience - delivered by mental health professionals – are effective in schools. Training school staff in these approaches has exciting potential to improve student and staff wellbeing. We will work with a large, all-through school in London to co-design and test the first U.K. whole-school solution-focused programme, aiming to improve student and staff wellbeing. This project offers potential long-term direct benefits to students and school staff. Solution-focused approaches offer significant promise in promoting wellbeing by addressing generic challenges that young people face, e.g., feeling more confident, or less anxious or stressed. They offer techniques for everyday conversations to promote a growth mindset, which align with U.K. school strategies. Solution-focused conversations are brief and are likely to improve students’ school experiences, learning, and wellbeing. All these factors potentially have a positive knock-on impact on future life outcomes e.g., improved attendance, academic achievement, reduced parental stress. Training school staff has the advantage of sustainability when there is limited access to mental health professionals/counsellors in schools and long waiting lists/high entry thresholds for access to child and adolescent mental health services.

Researchers

Fiona Robinson (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Long-Term Evaluation and Modelling of the Effectiveness and Cost-Effectiveness of Whole-School Public Mental Health Interventions
Physical Activity and Wellbeing in Schools
Developing and Evaluating a Stepped Change Whole-University approach for Student Wellbeing and Mental Health
Design of an online training programme and support tool for secondary schools to improve response to young people who self-harm (SORTS – SuppOrtive Response To Self-harm).
An exploratory study to determine how English primary schools support the mental health and wellbeing of their pupils.

Original classification

Mental Health

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.