Data-driven better mental health for all
The HDR UK community is leading the way to harness the UK’s data by creating an ecosystem for secure, inclusive and anonymised data research, and supporting cutting-edge mental health data science to improve the lives of people with mental health.
Importantly, we’re doing this in partnership with people with lived experiences of mental health conditions, to ensure we’re acting in the best interests of the people who will benefit from this work.
Ahead of World Mental Health Day on 10 October, HDR UK launched a campaign focusing on the important role that data has in reducing mental health care inequalities.
The infographic ‘Health data and mental health research’ below has been corrected by Health Data Research UK (HDR UK). The provenance of the public survey data could not be verified as part of a detailed independent review. This information has therefore been removed; this does not invalidate the remaining results and conclusions presented as part of the graphic. HDR UK would like to apologise to readers.
Exploring mental health datasets on the Gateway
For World Mental Health Day, we explore some of the mental health-related datasets discoverable on the Health Data Research Innovation Gateway.
The rise of tech in health data research: A new and evolving way of treating mental illness in the UK
Having lived with diabetes since the age of one, 34-year-old Londoner Manveer Sahota has always had a good understanding of his condition, its impact on his daily life and the long-term health...
How to ensure data transforms mental healthcare, for all
Matthew Chisambi, Associate Director of Transformation at Imperial College Health Partners (ICHP), reflects on how data can support reducing inequity in mental health transformation.
Celebrating one year of DATAMIND: The health data hub for mental health
The DATAMIND team share some of their highlights from the last year to mark the first anniversary of the official health data research Hub for mental health this month.
Data-driven better mental health for all
Health Data Research UK launches a campaign to highlight the potential of big data to address long-standing inequalities faced by people affected by mental health conditions.
Meet the future leaders in mental health data science
In order to make the progress in mental health that patients deserve, we need to support the people who will make these discoveries possible. We speak to two HDR UK-UKRI Innovation Fund Fellows...
Landscaping longitudinal datasets from across the world for creating a step change in early intervention in anxiety, depression and psychosis
Louise Arseneault, Professor of Developmental Psychology at King’s College London, discusses the value of longitudinal data as a research tool for mental health research and the Catalogue of...
Meet our mental health experts
Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register
People with severe mental illness, such as schizophrenia spectrum disorders or bipolar disorders, have higher death rates. It is difficult to study mental health records at scale, so a team of...
RADAR-base mHealth platform
RADAR-base is an award-winning open source mHealth platform that unlocks the potential of wearable and mobile devices for health data research and individual care. It allows passive and active...
Associations between pre-pregnancy psychosocial risk factors and infant outcomes
Katie Harron, Ruth Gilbert and colleagues, have developed a new method to link health records of mothers and babies through exploring the relationship between psychosocial maternal risk factors...
Depressive Symptoms and Cardiovascular Disease
Recent research leveraging cohort data from the Emerging Risk Factors Collaboration and the UK Biobank provides the clearest evidence to date that depressive symptoms, including those below...
Do children and young people need extra follow up care after having SARS-CoV-2 infection?
The successfully awarded research project through a funding call by Health Data Research UK and the Alan Turing Institute is led by Olivia Swann (University of Edinburgh). The research project...
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