Development of a school-based digitalised intervention for ADHD using Intervention Mapping

Introduction Attention deficit/hyperactivity disorder (ADHD) is a prevalent and impairing neurodevelopmental affecting 2-5% of children. These children are at risk negative health, social educational outcomes; ADHD incurs an estimated £670 million annual cost to education care in the UK. Children with often experience severe difficulties school despite drug treatment: effective psychosocial interventions needed. There mixed evidence for effectiveness existing school-based ADHD, which complex resource-intensive, contradicting preferences teachers short, flexible strategies that suit range ADHD-related classroom-based problems. Objectives To develop prototype intervention ADHD. Methods Intervention Mapping, framework developing theory- evidence-informed explicit consideration implementation context, was used. Logic models were developed behaviour change steps required by each agent system improve outcomes students A comprehensive synthesis conducted targeted key relevance (inattention, impulsivity, hyperactivity, peer teacher relationships, self-esteem, executive functions organisation skills); findings integrated alongside theory theories underlying aetiology order logic model intervention. Components then line using evidence-based methods, input from people staff other stakeholders every stage development process. Results The process resulted digital platform can be utilised deliver personalised behavioural within primary schools. It contains some core components all will complete, individualised based on problems child currently facing. six optional modules, containing implement student or whole class. toolkit includes symptom tracking graph use visualise progress making, align current resources capacity schools Conclusions designed explicitly fit structures demands, low terms delivery training. focusses adapting environment better high levels symptoms. now being feasibility tested, this talk I describe initial feedback first testing prototype. Disclosure Interest None Declared