Last updated:
ID:
55668
Start date:
16 January 2020
Project status:
Current
Principal investigator:
Dr Benjamin John Irving
Lead institution:
Huma Therapeutics Ltd, Great Britain

This project will use the UK BioBank to measure how effectively a new general health score can predict the risk and incidence of a basket of common preventable diseases such as Type II Diabetes, Heart Disease and Stroke. The score is made up of metrics that are easily measured on a smartphone (user input, or sensor-based), known to be strongly linked to well-established and changeable risk factors, which are combined through a weighted algorithm to give a single health score.
Health scores which work in this way are often referred to as ‘risk models’ or ‘risk scores’ and are an established way of adapting existing scientific evidence for use in public health or clinical settings. To date, risk scores have been used to predict a large number of diseases, most notably cancer, diabetes and depression. These population-level predictive indices are often created by reviewing past research and are validated (shown to be accurate) through large statistical studies on biomedical databases such as the UK BioBank.
To do this we plan to calculate a general health score for a selected number of BioBank participants using information from the existing dataset on a fixed date. This will be called ‘baseline’. Any gaps in the available data will be filled using statistical methods to ensure the information needed for the algorithm to produce a score is complete for all participants. We will compare the baseline health scores of participants who have preventable diseases such as Type II Diabetes, Heart Disease and Stroke with that of those participants who do not. This should indicate whether the health score is able to predict preventable disease at baseline. The second phase of the research will investigate whether or not people develop diseases over longer periods of time is estimated reliably by the app-based health score.
The general health score, if it is shown to be accurate, could be very useful for doctors, nurses and clinical researchers, as it could improve and inform the advice and treatment people receive, as well as health policy decisions. If delivered as part of a preventative health campaign or digital tool, a new health score could be used to educate the general public on risk of different preventable diseases, drive engagement in health, and ultimately act as a platform for behaviour change reducing preventable disease incidence.

Related publications

Author(s)
Ashley K Clift, Erwann Le Lannou, Christian P Tighe, Sachin S Shah, Matthew Beatty, Arsi Hyvärinen, Stephen J Lane, Tamir Strauss, Devin D Dunn,…
Journal
JMIR mHealth and uHealth
Author(s)
Nikola Dolezalova, Angus B Reed, Aleksa Despotovic, Bernard Dillon Obika, Davide Morelli, Mert Aral, David Plans
Journal
European Heart Journal - Digital Health
Author(s)
Shahram Nikbakhtian, Angus B Reed, Bernard Dillon Obika, Davide Morelli, Adam C Cunningham, Mert Aral, David Plans
Journal
European Heart Journal - Digital Health
Author(s)
Mohammad A. Dabbah, Angus B. Reed, Adam T. C. Booth, Arrash Yassaee, Aleksa Despotovic, Benjamin Klasmer, Emily Binning, Mert Aral, David Plans, Davide Morelli,…
Journal
Scientific Reports
  • infections
Author(s)
Davide Morelli, Nikola Dolezalova, Sonia Ponzo, Michele Colombo, David Plans
Journal
Frontiers in Psychiatry

All publications