ASTRODEM: Using astrophysics to close the “diagnosis gap” for dementia in UK general practice (360G-Wellcome-202133_Z_16_Z)
Dementia is one of the greatest public health challenges of our era. Timely diagnosis allows patients to benefit from current therapies, plan for the future, and maximise their quality of life. However, there is a "diagnosis gap" in UK general practice, with less than two-thirds of expected patients receiving a dementia diagnosis. Increasing diagnosis rates is a strategic aim of the UK government and NHS. We aim to close this diagnosis gap in a novel collaboration between primary care epidemiology and astrophysics. We will use a very large set of UK general practice electronic patient records (96,000 patients; 50% with dementia) spanning up to 10 years per patient. We will use a probabilistic programming framework to apply statistical techniques to model dementia onset in this cohort, allowing for the inherent variability and duration of disease development. To achieve a clinically valuable model, these multi-dimensional data will require sophisticated analysis techniques that are not currently available in medical statistics and epidemiology, but which astrophysicists use daily. Our goal is to develop a statistical model to predict risk of dementia from patients' general practice records, which will help GPs and other NHS bodies better estimate and identify cases in UK general practice.
Where is this data from?
This data was originally published by The Wellcome Trust. If you see something about your organisation or the funding it has received on this page that doesn't look right you can submit a grantee amendment request. You can hover over codes from standard codelists to see the user-friendly name provided by 360Giving.
Grant Details
Amount Awarded | 94008 |
Applicant Surname | Ford |
Approval Committee | Science Seeds Advisory Panel |
Award Date | 2016-04-08T00:00:00+00:00 |
Financial Year | 2015/16 |
Grant Programme: Title | Seed Award in Science |
Internal ID | 202133/Z/16/Z |
Lead Applicant | Dr Elizabeth Ford |
Partnership Value | 94008 |
Planned Dates: End Date | 2019-03-31T00:00:00+00:00 |
Planned Dates: Start Date | 2016-10-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | South East |