Literature DB >> 29887218

Breaking Barriers: Mobile Health Interventions for Cardiovascular Disease.

Harry Klimis1, Jay Thakkar2, Clara K Chow2.   

Abstract

Cardiovascular disease (CVD) is a leading global cause of death and morbidity and prevention needs to be strengthened to tackle this. Mobile health (mHealth) might present a novel and effective solution in CVD prevention, and interest in mHealth has grown dramatically since the advent of the smartphone. In this review, we discuss mHealth interventions that target multiple cardiovascular risk factors simultaneously in the context of primary as well as secondary prevention. There is some evidence that mHealth interventions improve a range of individual CVD risk factors, but a relative paucity of evidence on mHealth interventions improving multiple CVD risk factors simultaneously. The existing data suggest mHealth programs improve overall CVD risk, at least in the short term. Interpretation of the evidence is difficult in the context of poor methodology and mHealth modalities often being a part of large complex interventions. In this review we identify a number of unanswered questions including: which mode of mHealth (or combination of interventions) would be most effective, what is the durability of intervention effects, and what degree of personalization and interactivity is required.
Copyright © 2018 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 29887218     DOI: 10.1016/j.cjca.2018.02.012

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  7 in total

1.  Text messages for primary prevention of cardiovascular disease: the TextMe2 randomised controlled trial protocol.

Authors:  Harry Klimis; Aravinda Thiagalingam; Clara K Chow
Journal:  BMJ Open       Date:  2020-04-26       Impact factor: 2.692

2.  Barriers and Facilitators to Accessing Digital Health Tools Faced by South Asian Canadians in Surrey, British Columbia: Community-Based Participatory Action Exploration Using Photovoice.

Authors:  Antonia Hyman; Elizabeth Stacy; Humaira Mohsin; Kaitlin Atkinson; Kurtis Stewart; Helen Novak Lauscher; Kendall Ho
Journal:  J Med Internet Res       Date:  2022-01-13       Impact factor: 5.428

3.  Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis.

Authors:  Harry Klimis; Joel Nothman; Di Lu; Chao Sun; N Wah Cheung; Julie Redfern; Aravinda Thiagalingam; Clara K Chow
Journal:  JMIR Mhealth Uhealth       Date:  2021-11-10       Impact factor: 4.773

4.  Coordinating Health Care With Artificial Intelligence-Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial.

Authors:  Liliana Laranjo; Tim Shaw; Ritu Trivedi; Stuart Thomas; Emma Charlston; Harry Klimis; Aravinda Thiagalingam; Saurabh Kumar; Timothy C Tan; Tu N Nguyen; Simone Marschner; Clara Chow
Journal:  JMIR Res Protoc       Date:  2022-04-13

Review 5.  The Use of Mobile Apps for Heart Failure Self-management: Systematic Review of Experimental and Qualitative Studies.

Authors:  Clara Chow; Liliana Laranjo; Leticia Bezerra Giordan; Huong Ly Tong; John J Atherton; Rimante Ronto; Josephine Chau; David Kaye; Tim Shaw
Journal:  JMIR Cardio       Date:  2022-03-31

6.  Perceptions and experiences of using mobile technology for medication adherence among older adults with coronary heart disease: A qualitative study.

Authors:  Linda G Park; Fion Ng; Janet K Shim; Abdelaziz Elnaggar; Ofelia Villero
Journal:  Digit Health       Date:  2020-05-20

7.  Predictors of Smoking Cessation in a Lifestyle-Focused Text-Message Support Programme Delivered to People with Coronary Heart Disease: An Analysis From the Tobacco Exercise and Diet Messages (TEXTME) Randomised Clinical Trial.

Authors:  Harry Klimis; Simone Marschner; Amy Von Huben; Aravinda Thiagalingam; Clara K Chow
Journal:  Tob Use Insights       Date:  2020-01-28
  7 in total

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