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Welcome to the Health Equity Evidence Centre

A hub of evidence-informed solutions for equitable health and care based at Queen Mary University of London.

Our approach to health equity

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.

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Eight AI tools for evidence synthesis: Case studies and comparisons

This tool presents an independent assessment of eight AI tools designed to support evidence synthesis. Each case study summarises the tool’s capabilities, research evidence, and HEEC’s practical experience to guide researchers in selecting the most appropriate solutions for their reviews.

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Blogs

Returning to work in an ableist society

Returning to work can be a deeply unequal experience for disabled people, shaped not only by health needs but by workplace assumptions, discrimination and inflexible systems. This blog reflects on the pressure to work, the impact of ableism, and why valuing people beyond economic productivity is essential.

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Can Digital and Data Lay the Foundations for Equity? 

In the third and final blog of our three-part series, we explore how central digital and data are to the ambitions of the 10 Year Health Plan for England — and what that means for health inequalities. From the NHS App as the new “front door” to more systematic use of social risk data and patient-reported measures, we examine where the choices made now will determine whether digital transformation narrows gaps or widens them.

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