Mobile Technology for Primary Stroke Prevention: A Proof-of-Concept Pilot Randomized Controlled Trial.

awareness primary prevention risk factors smartphones stroke

Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
Jan 2019
Historique:
medline: 26 12 2018
pubmed: 26 12 2018
entrez: 25 12 2018
Statut: ppublish

Résumé

Background and Purpose- Feasibility of utilizing the Stroke Riskometer App (App) to improve stroke awareness and modify stroke risk behaviors was assessed to inform a full randomized controlled trial. Methods- A parallel, open-label, 2-arm prospective, proof-of-concept pilot randomized controlled trial. Participants were randomized to usual care/control or App intervention group and assessed at baseline, 3, and 6 months. The App measures stroke risk and provides information on management of risk factors. Participants were aged >19 years with at least 2 modifiable stroke risk factors identified, no prior stroke, and owned a smartphone. Results- Fifty participants (24 control, 26 App) were recruited from 148 eligible participants. Retention in the trial was 87%. Mean cardiovascular health (Life's Simple 7) improved by 0.36 (95% CI, -2.10 to 1.38) in the App group compared with 0.01 (95% CI, -1.34 to 1.32) in controls (

Identifiants

pubmed: 30580699
doi: 10.1161/STROKEAHA.118.023058
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

196-198

Auteurs

Rita Krishnamurthi (R)

From the National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies (RK., A.T., R.B., A.G., P.P., V.F.), Auckland University of Technology, New Zealand.

Leigh Hale (L)

Department of Medicine, School of Physiotherapy, University of Otago, Dunedin, New Zealand (L.H.).

Suzanne Barker-Collo (S)

School of Psychology (S.B.-C.), University of Auckland, New Zealand.

Alice Theadom (A)

From the National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies (RK., A.T., R.B., A.G., P.P., V.F.), Auckland University of Technology, New Zealand.

Rohit Bhattacharjee (R)

From the National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies (RK., A.T., R.B., A.G., P.P., V.F.), Auckland University of Technology, New Zealand.

Ann George (A)

From the National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies (RK., A.T., R.B., A.G., P.P., V.F.), Auckland University of Technology, New Zealand.

Bruce Arroll (B)

Department of General Practice and Healthcare, School of Population Health (B.A.), University of Auckland, New Zealand.

Annamarie Ranta (A)

Department of Medicine, University of Otago, Wellington, New Zealand (A.R.).
Department of Neurology, Wellington Hospital, Wellington, New Zealand (A.R.).

Debra Waters (D)

Taupua Waiora Centre for Māori Health Research, School of Public Health and Psychosocial Studies (D.W.), Auckland University of Technology, New Zealand.

Denise Wilson (D)

Department of Medicine, School of Physiotherapy, University of Otago, Dunedin, New Zealand (D.W.).

Peter Sandiford (P)

School of Population Health (P.S.), University of Auckland, New Zealand.
Waitemata District Health Board, Auckland, New Zealand; University of Auckland, New Zealand (P.S.).

Seana Gall (S)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (S.G.).

Priyakumari Parmar (P)

From the National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies (RK., A.T., R.B., A.G., P.P., V.F.), Auckland University of Technology, New Zealand.

Derrick Bennett (D)

Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom (D.B.).

Valery Feigin (V)

From the National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies (RK., A.T., R.B., A.G., P.P., V.F.), Auckland University of Technology, New Zealand.

Classifications MeSH