Literature DB >> 26596977

Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management.

John D Piette1, Justin List2, Gurpreet K Rana2, Whitney Townsend2, Dana Striplin2, Michele Heisler2.   

Abstract

We examined evidence on whether mobile health (mHealth) tools, including interactive voice response calls, short message service, or text messaging, and smartphones, can improve lifestyle behaviors and management related to cardiovascular diseases throughout the world. We conducted a state-of-the-art review and literature synthesis of peer-reviewed and gray literature published since 2004. The review prioritized randomized trials and studies focused on cardiovascular diseases and risk factors, but included other reports when they represented the best available evidence. The search emphasized reports on the potential benefits of mHealth interventions implemented in low- and middle-income countries. Interactive voice response and short message service interventions can improve cardiovascular preventive care in developed countries by addressing risk factors including weight, smoking, and physical activity. Interactive voice response and short message service-based interventions for cardiovascular disease management also have shown benefits with respect to hypertension management, hospital readmissions, and diabetic glycemic control. Multimodal interventions including Web-based communication with clinicians and mHealth-enabled clinical monitoring with feedback also have shown benefits. The evidence regarding the potential benefits of interventions using smartphones and social media is still developing. Studies of mHealth interventions have been conducted in >30 low- and middle-income countries, and evidence to date suggests that programs are feasible and may improve medication adherence and disease outcomes. Emerging evidence suggests that mHealth interventions may improve cardiovascular-related lifestyle behaviors and disease management. Next-generation mHealth programs developed worldwide should be based on evidence-based behavioral theories and incorporate advances in artificial intelligence for adapting systems automatically to patients' unique and changing needs.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  computational biology; developing countries; telemedicine

Mesh:

Year:  2015        PMID: 26596977      PMCID: PMC5234768          DOI: 10.1161/CIRCULATIONAHA.114.008723

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  89 in total

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Journal:  Educ Health (Abingdon)       Date:  2006-11

Review 3.  Behavior change interventions delivered by mobile telephone short-message service.

Authors:  Brianna S Fjeldsoe; Alison L Marshall; Yvette D Miller
Journal:  Am J Prev Med       Date:  2009-02       Impact factor: 5.043

4.  The link between information and communication technologies and global public health: pushing forward.

Authors:  Baltica Cabieses; Gladys Faba; Manuel Espinoza; Gillian Santorelli
Journal:  Telemed J E Health       Date:  2013-10-05       Impact factor: 3.536

5.  Accuracy of blood pressure measurements transmitted through a telemedicine system in underserved populations.

Authors:  William P Santamore; Carol J Homko; Abul Kashem; Timothy R McConnell; Francis J Menapace; Alfred A Bove
Journal:  Telemed J E Health       Date:  2008-05       Impact factor: 3.536

Review 6.  Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature.

Authors:  Andrew Bastawrous; Matthew J Armstrong
Journal:  J R Soc Med       Date:  2013-04       Impact factor: 5.344

7.  The effect of a short message service maintenance treatment on body mass index and psychological well-being in overweight and obese children: a randomized controlled trial.

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Journal:  Pediatr Obes       Date:  2012-04-10       Impact factor: 4.000

Review 8.  Healthcare via cell phones: a systematic review.

Authors:  Santosh Krishna; Suzanne Austin Boren; E Andrew Balas
Journal:  Telemed J E Health       Date:  2009-04       Impact factor: 3.536

9.  The potential impact of intelligent systems for mobile health self-management support: Monte Carlo simulations of text message support for medication adherence.

Authors:  John D Piette; Karen B Farris; Sean Newman; Larry An; Jeremy Sussman; Satinder Singh
Journal:  Ann Behav Med       Date:  2015-02

10.  The MOnitoring Resynchronization dEvices and CARdiac patiEnts (MORE-CARE) randomized controlled trial: phase 1 results on dynamics of early intervention with remote monitoring.

Authors:  Giuseppe Boriani; Antoine Da Costa; Renato Pietro Ricci; Aurelio Quesada; Stefano Favale; Saverio Iacopino; Francesco Romeo; Arnaldo Risi; Lorenza Mangoni di S Stefano; Xavier Navarro; Mauro Biffi; Massimo Santini; Haran Burri
Journal:  J Med Internet Res       Date:  2013-08-21       Impact factor: 5.428

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  67 in total

Review 1.  mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes.

Authors:  Lindsay Satterwhite Mayberry; Courtney R Lyles; Brian Oldenburg; Chandra Y Osborn; Makenzie Parks; Monica E Peek
Journal:  Curr Diab Rep       Date:  2019-11-25       Impact factor: 4.810

Review 2.  The Use of Behavior Change Techniques and Theory in Technologies for Cardiovascular Disease Prevention and Treatment in Adults: A Comprehensive Review.

Authors:  Sandra J Winter; Jylana L Sheats; Abby C King
Journal:  Prog Cardiovasc Dis       Date:  2016-02-20       Impact factor: 8.194

3.  Study protocol: CareAvenue program to improve unmet social risk factors and diabetes outcomes- A randomized controlled trial.

Authors:  Minal R Patel; Michele Heisler; John D Piette; Kenneth Resnicow; Peter X K Song; Hae Mi Choe; Xu Shi; Julie Tobi; Alyssa Smith
Journal:  Contemp Clin Trials       Date:  2020-01-07       Impact factor: 2.226

Review 4.  Innovative Approaches to Hypertension Control in Low- and Middle-Income Countries.

Authors:  Rajesh Vedanthan; Antonio Bernabe-Ortiz; Omarys I Herasme; Rohina Joshi; Patricio Lopez-Jaramillo; Amanda G Thrift; Jacqui Webster; Ruth Webster; Karen Yeates; Joyce Gyamfi; Merina Ieremia; Claire Johnson; Jemima H Kamano; Maria Lazo-Porras; Felix Limbani; Peter Liu; Tara McCready; J Jaime Miranda; Sailesh Mohan; Olugbenga Ogedegbe; Brian Oldenburg; Bruce Ovbiagele; Mayowa Owolabi; David Peiris; Vilarmina Ponce-Lucero; Devarsetty Praveen; Arti Pillay; Jon-David Schwalm; Sheldon W Tobe; Kathy Trieu; Khalid Yusoff; Valentin Fuster
Journal:  Cardiol Clin       Date:  2017-02       Impact factor: 2.213

Review 5.  Mobile technology and the digitization of healthcare.

Authors:  Sanjeev P Bhavnani; Jagat Narula; Partho P Sengupta
Journal:  Eur Heart J       Date:  2016-02-11       Impact factor: 29.983

6.  Structured Caregiver Feedback Enhances Engagement and Impact of Mobile Health Support: A Randomized Trial in a Lower-Middle-Income Country.

Authors:  John D Piette; Nicolle Marinec; Kathryn Janda; Emily Morgan; Karolina Schantz; Amparo Clara Aruquipa Yujra; Bismarck Pinto; José Marecelo Huayta Soto; Mary Janevic; James E Aikens
Journal:  Telemed J E Health       Date:  2015-09-09       Impact factor: 3.536

Review 7.  Opportunities to Leverage Telehealth Approaches Along the Hypertension Control Cascade in Sub-Saharan Africa.

Authors:  Charles Muiruri; Preeti Manavalan; Shelley A Jazowski; Brandon A Knettel; Helene Vilme; Leah L Zullig
Journal:  Curr Hypertens Rep       Date:  2019-08-26       Impact factor: 5.369

Review 8.  Public Policies and Interventions for Diabetes in Latin America: a Scoping Review.

Authors:  Elizabeth Kaselitz; Gurpreet K Rana; Michele Heisler
Journal:  Curr Diab Rep       Date:  2017-08       Impact factor: 4.810

Review 9.  Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis.

Authors:  Shimeng Liu; Wuwei Feng; Pratik Y Chhatbar; Yumei Liu; Xunming Ji; Bruce Ovbiagele
Journal:  J Neurol Sci       Date:  2017-04-28       Impact factor: 3.181

Review 10.  Diabetes Prevention Interventions in Latin American Countries: a Scoping Review.

Authors:  Michele Heisler; Elizabeth Kaselitz; Gurpreet K Rana; John D Piette
Journal:  Curr Diab Rep       Date:  2016-09       Impact factor: 4.810

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