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

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aut.relation.endpage244
aut.relation.issue2
aut.relation.startpage231
aut.relation.volume10
aut.researcherKrishnamurthi, Rita
dc.contributor.authorParmar, P
dc.contributor.authorKrishnamurthi, R
dc.contributor.authorIkram, MA
dc.contributor.authorHofman, A
dc.contributor.authorMirza, SS
dc.contributor.authorVarakin, Y
dc.contributor.authorKravchenko, M
dc.contributor.authorPiradov, M
dc.contributor.authorThrift, AG
dc.contributor.authorNorrving, B
dc.contributor.authorWang, W
dc.contributor.authorMandal, DK
dc.contributor.authorBarker-Collo, S
dc.contributor.authorSahathevan, R
dc.contributor.authorDavis, S
dc.contributor.authorSaposnik, G
dc.contributor.authorKivipelto, M
dc.contributor.authorSindi, S
dc.contributor.authorBornstein, NM
dc.contributor.authorGiroud, M
dc.contributor.authorBéjot, Y
dc.contributor.authorBrainin, M
dc.contributor.authorPoulton, R
dc.contributor.authorNarayan, KM
dc.contributor.authorCorreia, M
dc.contributor.authorFreire, A
dc.contributor.authorKokubo, Y
dc.contributor.authorWiebers, D
dc.contributor.authorMensah, G
dc.contributor.authorBinDhim, NF
dc.contributor.authorBarber, PA
dc.contributor.authorPandian, JD
dc.contributor.authorHankey, GJ
dc.contributor.authorMehndiratta, MM
dc.contributor.authorAzhagammal, S
dc.contributor.authorIbrahim, NM
dc.contributor.authorAbbott, M
dc.contributor.authorRush, E
dc.contributor.authorHume, P
dc.contributor.authorHussein, T
dc.contributor.authorBhattacharjee, R
dc.contributor.authorPurohit, M
dc.contributor.authorFeigin, VL
dc.contributor.authorStroke RiskometerTM Collaboration Writing Group
dc.date.accessioned2015-05-12T02:39:00Z
dc.date.available2015-05-12T02:39:00Z
dc.date.copyright2015-02
dc.date.issued2015-02
dc.description.abstractThe 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.
dc.identifier.citationInternational Journal of Stroke, vol.10(2), pp.231 - 244
dc.identifier.doi10.1111/ijs.12411
dc.identifier.issn1747-4949
dc.identifier.urihttps://hdl.handle.net/10292/8674
dc.languageeng
dc.publisherJohn Wiley & Sons Ltd
dc.relation.urihttp://dx.doi.org/10.1111/ijs.12411
dc.rightsThis 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.
dc.rights.accessrightsOpenAccess
dc.subjectStroke RiskometerTM App
dc.subjectPrevention
dc.subjectStroke prediction
dc.subjectValidation
dc.titleThe Stroke Riskometer(TM) App: Validation of a Data Collection Tool and Stroke Risk Predictor
dc.typeJournal Article
pubs.elements-id178148
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Corporate Services
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/SPRINZ
pubs.organisational-data/AUT/PVC - Research & Innovation
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