Literature DB >> 30580699

Mobile Technology for Primary Stroke Prevention.

Rita Krishnamurthi1, Leigh Hale2, Suzanne Barker-Collo3, Alice Theadom1, Rohit Bhattacharjee1, Ann George1, Bruce Arroll4, Annamarie Ranta5,6, Debra Waters7, Denise Wilson8, Peter Sandiford9,10, Seana Gall11, Priyakumari Parmar1, Derrick Bennett12, Valery Feigin1.   

Abstract

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 ( P=0.6733). Conclusions- These findings support a full randomized controlled trial to test the effectiveness of the Stroke Riskometer for primary stroke prevention. Clinical Trial Registration- URL: www.anzctr.org.au . Unique Identifier: ACTRN12616000376448.

Entities:  

Keywords:  awareness; primary prevention; risk factors; smartphones; stroke

Year:  2018        PMID: 30580699     DOI: 10.1161/STROKEAHA.118.023058

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  5 in total

Review 1.  Smartphone App in Stroke Management: A Narrative Updated Review.

Authors:  Adriano Bonura; Francesco Motolese; Fioravante Capone; Gianmarco Iaccarino; Michele Alessiani; Mario Ferrante; Rosalinda Calandrelli; Vincenzo Di Lazzaro; Fabio Pilato
Journal:  J Stroke       Date:  2022-09-30       Impact factor: 8.632

2.  Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial.

Authors:  Vera Helen Buss; Marlien Varnfield; Mark Harris; Margo Barr
Journal:  JMIR Hum Factors       Date:  2022-07-01

Review 3.  Moving Towards Equity With Digital Health Innovations for Stroke Care.

Authors:  Aradhana Verma; Amytis Towfighi; Arleen Brown; Anshu Abhat; Alejandra Casillas
Journal:  Stroke       Date:  2022-02-07       Impact factor: 10.170

4.  Object-Specific Four-Path Network for Stroke Risk Stratification of Carotid Arteries in Ultrasound Images.

Authors:  Wei Ma; Yujiao Xia; Xiaoyan Wu; Zheng Yue; Xinyao Cheng; Aaron Fenster; Mingyue Ding
Journal:  Comput Math Methods Med       Date:  2022-04-25       Impact factor: 2.809

Review 5.  Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction.

Authors:  Yun-Hsuan Chen; Mohamad Sawan
Journal:  Sensors (Basel)       Date:  2021-01-11       Impact factor: 3.576

  5 in total

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