What we do
About us
We are a research collaboration, based at Queen Mary University of London, with a passion to eliminate health and care inequalities through high quality evidence and innovation. We believe that everyone should be able to enjoy good health and the highest standard of healthcare. Our work draws on the latest machine learning software and is made possible through funding from the NHS.
More information
Latest resources
Improving mental health care for Black men
Black men face stark inequalities in mental health — from higher rates of diagnosis and detention to poorer access and outcomes. This brief highlights what needs to change to make care safer, fairer and more effective. Based on evidence and lived experience, it identifies changes in organisational culture, mental health service design and delivery, and sets out five clear priorities for action.
How to: A guide to co-production in the NHS
This practical and reflective guide explores the meaning, value, and challenges of co-production in healthcare, offering tools and real-world insights for working collaboratively with patients and communities. Rooted in lived experience, it provides honest reflections, key questions, and step-by-step suggestions to support meaningful partnership, equity, and transformation within NHS services.
Blogs
Applying a missingness lens to healthcare – missed appointments letters – tear up and start again!
In this guest blog, Professor Andrea Williamson reflects on her previous research into repeated missed healthcare appointments, which links high non-attendance to poorer health outcomes and social disadvantage. Building on this work, she introduces a new approach to appointment letters aimed at better supporting patients and improving engagement with services.
Inequalities in Continuous Glucose Monitoring for young people with diabetes
In recent years, continuous glucose monitoring (CGM) has become an increasingly important part of diabetes care. This implantable technology uses disposable sensors to transmit up-to-date blood glucose data to a connected smartphone, preventing the need for repeated finger prick testing. By reducing the pain and effort associated with repeated blood sugar sampling, CGM is transformative […]