The Stroke Riskometer(TM) App: Validation of a Data Collection Tool and Stroke Risk Predictor

Parmar, P
Krishnamurthi, R
Ikram, MA
Hofman, A
Mirza, SS
Varakin, Y
Kravchenko, M
Piradov, M
Thrift, AG
Norrving, B
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Journal Article
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John Wiley & Sons Ltd

The greatest potential to reduce the burden of stroke is by primary prevention of first-ever stroke, which constitutes three quarters of all stroke. In addition to population-wide prevention strategies (the 'mass' approach), the 'high risk' approach aims to identify individuals at risk of stroke and to modify their risk factors, and risk, accordingly. Current methods of assessing and modifying stroke risk are difficult to access and implement by the general population, amongst whom most future strokes will arise. To help reduce the burden of stroke on individuals and the population a new app, the Stroke Riskometer(TM) , has been developed. We aim to explore the validity of the app for predicting the risk of stroke compared with current best methods.

Stroke RiskometerTM App , Prevention , Stroke prediction , Validation
International Journal of Stroke, vol.10(2), pp.231 - 244
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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.