What we do
About us
We are a research collaboration, based mainly within universities, 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
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.
What works: Health and care interventions to support people from disadvantaged backgrounds in returning to work
Return to work interventions seek to address long-term work or sickness absence, but whether they achieve equitable outcomes is unclear. This brief reviews the evidence to identify health and care interventions that support people from disadvantaged backgrounds return to employment.
Blogs
Good intentions, risks and missed opportunities: What the NHS plan means for health and care inequalities
In the 10 Year Health Plan there are notable wins for health inequalities advocates, especially in funding and tackling smoking and obesity, but there are risks of inadvertently increasing inequalities in use of digital tools and widening clinical variation. There are also missed opportunities to work cross-government, provide culturally competent care, and leverage the vast resources of the health and care system to help the poorest areas.
Fatphobia: how bias and assumptions harm patients and undermine quality of care – a personal reflection
In this powerful personal reflection, HEEC Citizen Panel member Marianne Rodie explores how fatphobia pervades health care, leading to harmful assumptions, misdiagnoses, and discrimination against fat patients. She calls for a shift toward compassionate, bias-free care that prioritises individual health needs over body size.