Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis

Saffari, Mohsen; Ghanizadeh, Ghader; Koenig, Harold G.

doi:10.1016/j.pcd.2014.03.004

Cited by 166 publications

(159 citation statements)

References 42 publications

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“…Incorporating PGHD, especially blood glucose and/or continuous glucose monitoring data, into decision making individualizes self-management and empowers participants to fully engage in personal problem solving to change behavior and improve outcomes (16,(142)(143)(144). There is strong evidence that incorporating text messaging into DSMES interventions improves engagement and outcomes (25,(145)(146)(147). Use of digital technology (cloud-based, telehealth, data management platforms, apps, and social media) enhances the ability to employ a technology-enabled selfmanagement feedback loop with four key elements: two-way communication, analysis of PGHD, customized education, and individualized feedback to provide realtime engagement in self-management, as well as to enable and empower participants (16).…”

Section: Standard 7 Individualizationmentioning

confidence: 99%

2017 National Standards for Diabetes Self-Management Education and Support

et al. 2017

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Section: Standard 7 Individualizationmentioning

confidence: 99%

2017 National Standards for Diabetes Self-Management Education and Support

et al. 2017

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“…Mobile or mHealth interventions. Four reviews evaluated mHealth interventions targeting individuals with type 1 and/or 2 diabetes, all of which identified mHealth programs demonstrating a significant pre-to post-reduction in glycosylated hemoglobin (HbA1c) compared to standard care (7,62,80,110). Liang et al (80) reported that the mode of mobile phone intervention varied among the 22 studies reviewed; 14 used a short messaging service (SMS) and the Internet as support for self-monitoring blood glucose (BG) levels, reinforcement of diet, exercise, and medication adjustment; 8 adopted SMS alone or SMS combined with other technologies such as Bluetooth; and 1 combined mobile phones with clinical visits from a diabetes specialist nurse.…”

Section: Evidence For Effectiveness Uptake and Use Of Technology Inmentioning

confidence: 99%

Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations

Oldenburg

Taylor

O’Neil

et al. 2015

Annu. Rev. Public Health

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Lifestyle factors are important in the development of chronic diseases, such as heart disease, respiratory disease, and diabetes, and chronic disease risk can be reduced by changes in lifestyle behaviors linked to these conditions. The use of mass media and community-wide strategies targeting these behaviors has been extensively evaluated since the 1970s. This review summarizes some examples of interventions and their use of media conducted within the old communications landscape of the 1970s and 1980s and the key lessons learned from their design, implementation, and evaluation. We then consider the potential and evidence base for using contemporary technology applications and platforms-within the new communications landscape-to improve the prevention and management of lifestyle-related chronic diseases in the future. We discuss the implications and adaptation of lessons derived from the ways in which new technologies are being used in commercial and political contexts and their relevance for public health. Finally, we consider some recent examples of applying new technologies to public health issues and consider some of the challenges in this rapidly developing field. COMMUNITY INTERVENTIONS CONDUCTED WITHIN THE OLD COMMUNICATIONS LANDSCAPESeminal epidemiological studies of the 1950s and 1960s (33, 38) demonstrated the influence of lifestyle-related factors in the development of chronic diseases, such as cancers and heart and respiratory diseases. The potential to ameliorate the risk and burden of lifestyle-related chronic disease using lifestyle-based behavior change strategies was soon realized and continues to this day (47). In developed countries, theory-based community interventions targeting lifestyle-related behavior risk factors commenced in the 1970s and have continued to the present day. Community Studies in the 1970sThe North Karelia Project, Finland. In the early 1970s, Finland had one of the highest cardiovascular disease (CVD) mortality rates in the world. The North Karelia Project started in 1972 as a national pilot and demonstration program aimed at reducing population levels of wellestablished CVD risk factors and thus the incidence of CVD (73,103). This comprehensive, community-wide intervention program utilized multiple lifestyle change strategies, including use of the state-of-the-art mass media of that time-that is, radio, television, billboards, newspapers, magazine articles, pamphlets, and other printed materials-combined with environmental and legislative approaches. The project developed and evaluated a model that systematically addressed the steps leading to changes in social norms and community-wide behavior change. After the initial intervention phase (1972)(1973)(1974)(1975)(1976)(1977), the project findings and lessons were further adapted and more widely implemented to develop a comprehensive national heart health program in Finland.An evaluation involving population surveys and disease registers showed that the population risk factor levels in Finland were greatly redu...

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“…Optimizing self-management of glycemic control and other risk factors in conjunction with pharmacologic therapy may be an efficient way to improve patient outcomes [2][3][4][5]. While selfmanagement has been traditionally in person educational programs that are resource intensive, advances in mobile technology now provide the opportunity to deliver effective self-management support to patients in a convenient and potentially cost effective manner [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial (Preprint)

Agarwal¹,

Mukerji²,

Desveaux³

et al. 2018

Preprint

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Background: A growing number of mobile apps are available to support self-management of diabetes. One such app, called BlueStar™, has been shown to significantly reduce glycemic control in small trials. While the efficacy of the app led to become the first app in the USA to receive FDA approval as a Mobile Prescription Therapy, its effectiveness across a range of usual care settings remains unclear.

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Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis

Cited by 166 publications

References 42 publications

2017 National Standards for Diabetes Self-Management Education and Support

2017 National Standards for Diabetes Self-Management Education and Support

Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations

Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial (Preprint)

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