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
What works: Finding ways to better support people who frequently attend emergency departments
People who visit emergency departments more frequently than the average often experience multiple socioeconomic difficulties and health problems. In this brief we summarise evidence on how health care services can better support these patients. Meeting these patients’ needs requires an integrated approach that cuts across different health care services but may also involve local authorities and the voluntary sector.
What works: Achieving equitable lipid management
Cardiovascular disease is a leading cause of death in the UK, particularly impacting socioeconomically disadvantaged and ethnic minority groups. Primary care services have a significant role to play in mitigating inequalities in lipid management within health care. This evidence brief examines the available evidence on inequalities across the NHS England cholesterol pathway.
Blogs
A new tool to help ICBs allocate general practice funding more equitably – introducing eFIT
In this blog, we introduce eFIT, a tool that helps Integrated Care Boards (ICBs) allocate funding more equitably by considering socio-economic factors. By addressing inequalities in general practice funding, eFIT aims to provide additional resources to practices serving disadvantaged communities, working towards fairer health care outcomes for all.
How do the Conservative and Labour manifestos measure up in terms of health inequalities?
The manifestos have been published, but what are they likely to mean for health and care inequalities? Let’s take a closer look and examine the underlying evidence.