Stroke is a leading cause of death and disability. Its estimated cost is €65 billion per year in Europe. Even though preventive measures are in place to reduce the incidence of stroke, the number of persons having a stroke in Europe is likely to increase because of the ageing population.
In order to reduce the negative consequences of stroke and the associated cost, the self-management of stroke risk factors is desirable because: 1) risk factors for stroke are well-known, and 2) 90% of strokes or secondary stroke events are preventable if the risk factors are managed appropriately.
STARR (The Decision SupporT and self-mAnagement system for stRoke survivoRs) project and the system developed in it are targeting the self-management of stroke risk factors. We will use existing predictive models of stroke risk, and we will develop a modular, affordable, and easy-to-use system to inform stroke survivors about the relation between their daily activities (e.g., medication intake, physical and cognitive exercises, diet, social contacts) and the risk of having a secondary stroke. This will lead to better prevention and a reduction of the number of secondary stroke events, as well as to a more efficient participation of stroke survivors in medical decision-making.
A multidisciplinary consortium will work on the STARR project. It involves stroke survivors’ associations, healthcare actors and sensing and human-machine interfaces experts. The consortium also comprises 3 European companies who will exploit the results of the project after its end.
The STARR project is funded under the European Commission’s Horizon 2020 call PHC-28-2015 “Self-management of health and disease and decision support systems based on predictive computer modelling used by the patient him or herself”. The project started on 01 Feb 2016 and will last until 31 Jul 2019 (42 months duration).