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Evidence-Based
Interventions for ADHD

A platform that brings together the best available research on how different treatments proposed for ADHD work and how safe they are. It helps clinicians, people with ADHD and their carers, guideline developers, and other decision-makers make informed choices.

Based on 200+ meta-analyses of trials including 50,000+ participants with ADHD
Scientific dataLast update in January 2025
Developped by researchers from
Université Paris NanterreHôpital Robert-DebréSCIENCES LabUniversity of Southampton

Countries from which user feedback was collected to enhance the platform

Global Clinical Research Coverage
For clinicians and people with lived experience

Making informed shared-decision making in clinical practice

Empowering shared decision making

By providing a convenient access to highest quality scientific information, making it possible to engage in a patient-clinician informed discussion.

Validated by leading journals

By publishing our approach and results in high-impact medical journals, we ensured of the methodological rigor of the work.

Co-created with stakeholders

By collaborating with 100+ clinicians and 100+ individuals with lived experience across 30 countries, to ensure the platform meets real-world needs.

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U-REACH Methodology
For clinicians and researchers

The scientific methods behind the EBI-ADHD platform

The scientific approach used to create this online platform is directly inspired by the U-REACH framework. You can visit the U-REACH main website to have more information on the methods, or to explore other similar evidence synthesis platforms on different populations (such as autism or bipolar disorder).

Core Members Of The Team

EBI-ADHD is funded through public and peer-reviewed research grants from Agence Nationale de la Recherche (France), France 2030 program (France) and National Institute for Health and Care Research (UK). This ensures a complete scientific independence and methodological rigor of the work.

Agence Nationale de la RechercheNational Institute for Health and Care ResearchFrance 2030
Corentin J. Gosling

Corentin J. Gosling, PhD

Miguel Garcia-Argibay

Miguel Garcia-Argibay, PhD

Marco Solmi

Marco Solmi, MD, PhD

Richard Delorme

Richard Delorme, MD, PhD

Samuele Cortese

Samuele Cortese, MD, PhD