Literature DB >> 24205809

The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review.

Andrea Beratarrechea1, Allison G Lee, Jonathan M Willner, Eiman Jahangir, Agustín Ciapponi, Adolfo Rubinstein.   

Abstract

INTRODUCTION: Rates of chronic diseases will continue to rise in developing countries unless effective and cost-effective interventions are implemented. This review aims to discuss the impact of mobile health (m-health) on chronic disease outcomes in low- and middle-income countries (LMIC).
MATERIALS AND METHODS: Systematic literature searches were performed using CENTRAL, MEDLINE, EMBASE, and LILACS databases and gray literature. Scientific literature was searched to identify controlled studies evaluating cell phone voice and text message interventions to address chronic diseases in adults in low- or middle-income countries. Outcomes measured included morbidity, mortality, hospitalization rates, behavioral or lifestyle changes, process of care improvements, clinical outcomes, costs, patient-provider satisfaction, compliance, and health-related quality of life (HRQoL).
RESULTS: From the 1,709 abstracts retrieved, 163 articles were selected for full text review, including 9 randomized controlled trials with 4,604 participants. Most of the studies addressed more than one outcome. Of the articles selected, six studied clinical outcomes, six studied processes of care, three examined healthcare costs, and two examined HRQoL. M-health positively impacted on chronic disease outcomes, improving attendance rates, clinical outcomes, and HRQoL, and was cost-effective.
CONCLUSIONS: M-health is emerging as a promising tool to address access, coverage, and equity gaps in developing countries and low-resource settings. The results for m-health interventions showed a positive impact on chronic diseases in LMIC. However, a limiting factor of this review was the relatively small number of studies and patients enrolled, highlighting the need for more rigorous research in this area in developing countries.

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Year:  2013        PMID: 24205809      PMCID: PMC3880111          DOI: 10.1089/tmj.2012.0328

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  30 in total

Review 1.  Text messaging as a tool for behavior change in disease prevention and management.

Authors:  Heather Cole-Lewis; Trace Kershaw
Journal:  Epidemiol Rev       Date:  2010-03-30       Impact factor: 6.222

2.  Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: a randomized controlled trial.

Authors:  Zhou-Wen Chen; Li-Zheng Fang; Li-Ying Chen; Hong-Lei Dai
Journal:  J Zhejiang Univ Sci B       Date:  2008-01       Impact factor: 3.066

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.  Priority-setting institutions in health: recommendations from a center for global development working group.

Authors:  Amanda Glassman; Kalipso Chalkidou; Ursula Giedion; Yot Teerawattananon; Sean Tunis; Jesse B Bump; Andres Pichon-Riviere
Journal:  Glob Heart       Date:  2012-04-13

5.  What we can really expect from telemedicine in intensive diabetes treatment: results from 3-year study on type 1 pregnant diabetic women.

Authors:  J M Wojcicki; P Ladyzynski; J Krzymien; E Jozwicka; J Blachowicz; E Janczewska; K Czajkowski; W Karnafel
Journal:  Diabetes Technol Ther       Date:  2001       Impact factor: 6.118

6.  Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS)--a pilot study.

Authors:  Ananth Samith Shetty; Snehalatha Chamukuttan; Arun Nanditha; Roopesh Kumar Champat Raj; Ambady Ramachandran
Journal:  J Assoc Physicians India       Date:  2011-11

Review 7.  Mobile phone messaging for facilitating self-management of long-term illnesses.

Authors:  Thyra de Jongh; Ipek Gurol-Urganci; Vlasta Vodopivec-Jamsek; Josip Car; Rifat Atun
Journal:  Cochrane Database Syst Rev       Date:  2012-12-12

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

Review 9.  Use of telephone and SMS reminders to improve attendance at hospital appointments: a systematic review.

Authors:  Per E Hasvold; Richard Wootton
Journal:  J Telemed Telecare       Date:  2011-09-20       Impact factor: 6.184

Review 10.  Clinical outcomes resulting from telemedicine interventions: a systematic review.

Authors:  W R Hersh; M Helfand; J Wallace; D Kraemer; P Patterson; S Shapiro; M Greenlick
Journal:  BMC Med Inform Decis Mak       Date:  2001-11-26       Impact factor: 2.796

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  123 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

2.  eHealth interventions for people with chronic kidney disease.

Authors:  Jessica K Stevenson; Zoe C Campbell; Angela C Webster; Clara K Chow; Allison Tong; Jonathan C Craig; Katrina L Campbell; Vincent Ws Lee
Journal:  Cochrane Database Syst Rev       Date:  2019-08-06

3.  Predictors of Utilization of a Novel Smoking Cessation Smartphone App.

Authors:  Emily Y Zeng; Roger Vilardaga; Jaimee L Heffner; Kristin E Mull; Jonathan B Bricker
Journal:  Telemed J E Health       Date:  2015-07-14       Impact factor: 3.536

Review 4.  Personal health technology: A new era in cardiovascular disease prevention.

Authors:  Nina C Franklin; Carl J Lavie; Ross A Arena
Journal:  Postgrad Med       Date:  2015-02-18       Impact factor: 3.840

5.  A Cluster-Randomized, Controlled Trial of a Simplified Multifaceted Management Program for Individuals at High Cardiovascular Risk (SimCard Trial) in Rural Tibet, China, and Haryana, India.

Authors:  Maoyi Tian; Vamadevan S Ajay; Danzeng Dunzhu; Safraj S Hameed; Xian Li; Zhong Liu; Cong Li; Hao Chen; KaWing Cho; Ruilai Li; Xingshan Zhao; Devraj Jindal; Ishita Rawal; Mohammed K Ali; Eric D Peterson; Jiachao Ji; Ritvik Amarchand; Anand Krishnan; Nikhil Tandon; Li-Qun Xu; Yangfeng Wu; Dorairaj Prabhakaran; Lijing L Yan
Journal:  Circulation       Date:  2015-07-17       Impact factor: 29.690

Review 6.  Use of mHealth systems and tools for non-communicable diseases in low- and middle-income countries: a systematic review.

Authors:  David Peiris; Devarsetty Praveen; Claire Johnson; Kishor Mogulluru
Journal:  J Cardiovasc Transl Res       Date:  2014-09-11       Impact factor: 4.132

Review 7.  "Mobile Health" for the Management of Spondyloarthritis and Its Application in China.

Authors:  Xiaojian Ji; Lidong Hu; Yiwen Wang; Yiming Luo; Jian Zhu; Jianglin Zhang; M A Khan; Feng Huang
Journal:  Curr Rheumatol Rep       Date:  2019-11-19       Impact factor: 4.592

Review 8.  A Global Perspective on Cardiovascular Disease in Vulnerable Populations.

Authors:  Karen Yeates; Lynne Lohfeld; Jessica Sleeth; Fernando Morales; Yogesh Rajkotia; Olugbenga Ogedegbe
Journal:  Can J Cardiol       Date:  2015-07-13       Impact factor: 5.223

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

Authors:  John D Piette; Justin List; Gurpreet K Rana; Whitney Townsend; Dana Striplin; Michele Heisler
Journal:  Circulation       Date:  2015-11-24       Impact factor: 29.690

Review 10.  Challenges and opportunities for implementation of interventions to prevent and control CVD in low-resource settings: a report from CESCAS in Argentina.

Authors:  Adolfo L Rubinstein; Vilma E Irazola; Rosana Poggio; Pablo Gulayin; Analía Nejamis; Andrea Beratarrechea
Journal:  Glob Heart       Date:  2015-03
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