This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (294) Mobile Health (mhealth) (3240) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1613) Glucose Tracking and Self-Monitoring of Blood Glucose (190) Apps, Mobile, Wearables for Diabetes (340) Diabetes Self-Management (547) Diabetes Reviews and Scoping Studies (37)

Published on in Vol 5, No 3 (2017): March

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Authors of this article:

Bráulio Cezar Bonoto1 Author Orcid Image ;   Vânia Eloisa de Araújo2 Author Orcid Image ;   Isabella Piassi Godói1, 3 Author Orcid Image ;   Lívia Lovato Pires de Lemos3, 4 Author Orcid Image ;   Brian Godman5, 6 Author Orcid Image ;   Marion Bennie5 Author Orcid Image ;   Leonardo Mauricio Diniz7 Author Orcid Image ;   Augusto Afonso Guerra Junior1, 3 Author Orcid Image
Article Authors Cited by (207) Tweetations (26) Metrics

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  113. Ossai C, Wickramasinghe N. Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation. Artificial Intelligence in Medicine 2023;138:102509 View
  114. Stein C, Watanabe M, Lee A. Leveraging Informatics To Relieve Barriers to Oral Health Care in Disadvantaged Communities. Journal of the California Dental Association 2018;46(3):171 View
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  134. Jang I. A Systematic Review on Mobile Health Applications’ Education Program for Patients Taking Oral Anticoagulants. International Journal of Environmental Research and Public Health 2021;18(17):8902 View
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  140. van Bonn S, Behrendt S, Pawar B, Schraven S, Mlynski R, Schuldt T. Smartphone-based nystagmus diagnostics: development of an innovative app for the targeted detection of vertigo. European Archives of Oto-Rhino-Laryngology 2022;279(12):5565 View
  141. Guerreiro M, Balsa J, Carmo M, Cláudio A, Félix I. Usability Evaluation by Primary Care Providers of a Novel Digital Intervention for Type 2 Diabetes Self-Management in Older Adults. CIN: Computers, Informatics, Nursing 2023;41(4):185 View
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  145. Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Human Factors 2023;10:e46624 View
  146. Sze W, Kow S. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e40968 View
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  148. Sze W, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481 View
  149. Bretschneider M, Roth L, Schwarz P. Effectiveness of a Digital Health Application for the Treatment of Diabetes Type II—A Pilot Study. Journal of Clinical Medicine 2023;12(19):6317 View
  150. Han C, Lim S, Ong K, Johal J, Gulyani A. Behavioral Lifestyle Intervention Program Using Mobile Application Improves Diet Quality in Adults With Prediabetes (D’LITE Study): A Randomized Controlled Trial. Journal of the Academy of Nutrition and Dietetics 2024;124(3):358 View
  151. Giovanazzi A, Gios L, Mastellaro M, Gentilini M, Valent F, Condini S, Bincoletto G, Bacchiega A, Zorzi A, Malfatti G, Perini F, Eccher C, Marchesoni M, Dall’Alda M, Orrasch M, Conforti D, Inchiostro S. Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study). Trials 2023;24(1) View
  152. Kumbara A, Iyer A, Green C, Jepson L, Leone K, Layne J, Shomali M. Impact of a Combined Continuous Glucose Monitoring–Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study. JMIR Diabetes 2023;8:e47638 View
  153. Huang T. Using SOR framework to explore the driving factors of older adults smartphone use behavior. Humanities and Social Sciences Communications 2023;10(1) View
  154. Wasserman S, Ould Brahim L, Attiya A, Belzile E, Lambert S. An Evaluation of Interactive mHealth Applications for Adults Living with Cancer. Current Oncology 2023;30(8):7151 View
  155. Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273 View
  156. Sadler S, Gerrard J, Searle A, Lanting S, West M, Wilson R, Ginige A, Fang K, Chuter V. The Use of mHealth Apps for the Assessment and Management of Diabetes-Related Foot Health Outcomes: Systematic Review. Journal of Medical Internet Research 2023;25:e47608 View
  157. Abdelhameed F, Pearson E, Parsons N, Barber T, Panesar A, Summers C, de la Fosse M, Hanson P. Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study. JMIR Diabetes 2023;8:e47224 View
  158. Kime N, Zwolinsky S, Pringle A. Evaluation of the DigiBete App, a Self-Management App for Type 1 Diabetes: Experiences of Young People, Families, and Healthcare Professionals. Children 2023;10(12):1933 View
  159. Chong S, Pedron S, Abdelmalak N, Laxy M, Stephan A. An umbrella review of effectiveness and efficacy trials for app-based health interventions. npj Digital Medicine 2023;6(1) View
  160. Duan H, Yan W. Visual fatigue a comprehensive review of mechanisms of occurrence, animal model design and nutritional intervention strategies. Critical Reviews in Food Science and Nutrition 2025;65(9):1631 View
  161. Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514 View
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  164. Tarricone R, Petracca F, Svae L, Cucciniello M, Ciani O. Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials. eBioMedicine 2024;103:105091 View
  165. Kim K, Yun J, Lee J, Yang Y, Lee M, Ahn Y, Cho J, Ko S. Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Endocrinology and Metabolism 2024;39(2):344 View
  166. Yeh T, Chang Y, Yang S, Yang C. Effect of Successful Aging on Technology Acceptance: The Moderating Role of Selection, Optimization, and Compensation Strategies. Social Science Computer Review 2025;43(3):649 View
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  170. Kokubun K. How to Popularize Smartphones among Older Adults: A Narrative Review and a New Perspective with Self-Efficacy, Social Capital, and Individualized Instruction as Key Drivers. Psychology International 2024;6(3):769 View
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  172. Sabben G, Telfort C, Morales M, Zhang W, Espinoza J, Pasquel F, Winskell K. Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study. JMIR Diabetes 2024;9:e54223 View
  173. Ruiz-Leon A, Casas R, Castro-Barquero S, Alfaro-González S, Radeva P, Sacanella E, Casanovas-Garriga F, Pérez-Gesalí A, Estruch R. Efficacy of a Mobile Health–Based Behavioral Treatment for Lifestyle Modification in Type 2 Diabetes Self-Management: Greenhabit Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e58319 View
  174. Yang J, Wang X. Navigating the Adoption Maze: Evolutionary Dynamics of Stakeholder Behavior in AI-Driven Elderly Care Solutions. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  175. Tang Z, Zhao L, Li J, Yang Y, Liu F, Li H, Yang Z, Qin S, Li X. Prognostic effectiveness of interactive vs. non-interactive mobile app interventions in type 2 diabetes: a systematic review and meta-analysis. Archives of Public Health 2024;82(1) View
  176. Chew B, Lai P, Sivaratnam D, Basri N, Appannah G, Mohd Yusof B, Thambiah S, Nor Hanipah Z, Wong P, Chang L. Efficient and Effective Diabetes Care in the Era of Digitalization and Hypercompetitive Research Culture: A Focused Review in the Western Pacific Region with Malaysia as a Case Study. Health Systems & Reform 2025;11(1) View
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  180. Elbarbary N, Mohamed M, Fereig Y. Diabetes self-management smartphone application: Could it be an alternative for continuous glucose monitoring in low resource settings?. Primary Care Diabetes 2025;19(2):157 View
  181. Gardner D, Saboo B, Kesavadev J, Mustafa N, Villa M, Mahoney E, Bajpai S. Digital Health Technology in Diabetes Management in the Asia–Pacific Region: A Narrative Review of the Current Scenario and Future Outlook. Diabetes Therapy 2025 View
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Books/Policy Documents

  1. Mechanick J, Zhao S. Creating a Lifestyle Medicine Center. View
  2. Tang P, Fisher E. Behavioral Diabetes. View
  3. Van Stee S, Yang Q. Technology and Health. View
  4. Sumilang C. Advancing Mobile Learning in Contemporary Educational Spaces. View
  5. Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. View
  6. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. View
  7. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  8. Hester J, Zabala Z, Winskell K, Pasquel F. Diabetes Digital Health and Telehealth. View
  9. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  10. Geirhos A, Bendig E, Schmitt A, Ebert D, Baumeister H. Digitale Gesundheitsinterventionen. View
  11. Domínguez-Miranda S, Rodríguez-Aguilar R. Computer Science and Engineering in Health Services. View
  12. Thomas J, Panza E, Perski O, Goldstein S. Lifestyle Medicine. View

Conference Proceedings

  1. Spence R, Redmond L. Proceedings of the International Conference on Advanced Visual Interfaces. Circles of Affordance View
  2. Ramos D, Grisales J, Beltrán M. 2024 3rd International Congress of Biomedical Engineering and Bioengineering (CIIBBI). Bloodmeter: Application for Data Acquisition and Analysis in Diabetes Patients View