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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) Apps, Mobile, Wearables for Diabetes (306)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12237, first published .
App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison

App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison

App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison

Authors of this article:

Antonio Martinez-Millana1 Author Orcid Image ;   Elena Jarones1 Author Orcid Image ;   Carlos Fernandez-Llatas1 Author Orcid Image ;   Gunnar Hartvigsen2 Author Orcid Image ;   Vicente Traver1 Author Orcid Image
Article Authors Cited by (32) Tweetations (57) Metrics

Journals

  1. Oroojeni Mohammad Javad M, Agboola S, Jethwani K, Zeid A, Kamarthi S. A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study. JMIR Diabetes 2019;4(3):e12905 View
  2. Xie L, Itzkovitz A, Roy-Fleming A, Da Costa D, Brazeau A. Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence. Journal of Medical Internet Research 2020;22(8):e18355 View
  3. Wu Y, Zhou Y, Wang X, Zhang Q, Yao X, Li X, Li J, Tian H, Li S. A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13971 View
  4. Martinez-Millana A, Zettl A, Floch J, Calvo-Lerma J, Sevillano J, Ribes-Koninckx C, Traver V. The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment. JMIR mHealth and uHealth 2019;7(4):e13362 View
  5. Timpel P, Harst L, Reifegerste D, Weihrauch-Blüher S, Schwarz P. What should governments be doing to prevent diabetes throughout the life course?. Diabetologia 2019;62(10):1842 View
  6. Albanese-O'Neill A, Schatz D, Thomas N, Bernhardt J, Cook C, Haller M, Bernier A, Silverstein J, Westen S, Elder J. Designing Online and Mobile Diabetes Education for Fathers of Children With Type 1 Diabetes: Mixed Methods Study. JMIR Diabetes 2019;4(3):e13724 View
  7. Krishnan G, Selvam G. Factors influencing the download of mobile health apps: Content review-led regression analysis. Health Policy and Technology 2019;8(4):356 View
  8. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
  9. McGaugh S, Edwards S, Wolpert H, Zaharieva D, Gulati N, Riddell M. The Development of an Exercise Advisor App for Type 1 Diabetes: Digitization Facilitates More Individualized Guidance. Journal of Diabetes Science and Technology 2022;16(3):760 View
  10. Zhang Y, Liu C, Luo S, Huang J, Yang Y, Ma X, Li X, Zhou Z. Effectiveness of the Family Portal Function on the Lilly Connected Care Program (LCCP) for Patients With Type 2 Diabetes: Retrospective Cohort Study With Propensity Score Matching. JMIR mHealth and uHealth 2021;9(2):e25122 View
  11. Iribarren S, Akande T, Kamp K, Barry D, Kader Y, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563 View
  12. Plaza Roncero A, Marques G, Sainz-De-Abajo B, Martín-Rodríguez F, del Pozo Vegas C, Garcia-Zapirain B, de la Torre-Díez I. Mobile Health Apps for Medical Emergencies: Systematic Review. JMIR mHealth and uHealth 2020;8(12):e18513 View
  13. Mehraeen E, Noori T, Nazeri Z, Heydari M, Mehranfar A, Moghaddam H, Aghamohammadi V. Identifying features of a mobile-based application for self-care of people living with T2DM. Diabetes Research and Clinical Practice 2021;171:108544 View
  14. Imeri H, Desselle S, Hetemi D, Hoti K. Mobile Electronic Devices as Means of Facilitating Patient Activation and Health Professional Empowerment Related to Information Seeking on Chronic Conditions and Medications: Qualitative Study. JMIR mHealth and uHealth 2021;9(8):e26300 View
  15. Liu Z, Wang C, Yang D, Luo S, Ding Y, Xu W, Zheng X, Weng J, Yan J. High engagement in mobile peer support is associated with better glycemic control in type 1 diabetes: A real‐world study. Journal of Diabetes Investigation 2022;13(11):1914 View
  16. Martinez-Millana A, Michalsen H, Berg V, Anke A, Gil Martinez S, Muzny M, Torrado Vidal J, Gomez J, Traver V, Jaccheri L, Hartvigsen G. Motivating Physical Activity for Individuals with Intellectual Disability through Indoor Bike Cycling and Exergaming. International Journal of Environmental Research and Public Health 2022;19(5):2914 View
  17. Xie L, Roy-Fleming A, Haag S, Costa D, Brazeau A. Development of the Support self-guided, web application for adults living with type 1 diabetes in Canada by a multi-disciplinary team using a people-oriented approach based on the Behaviour Change Wheel. DIGITAL HEALTH 2023;9 View
  18. Krmpotic K, Gallant J, Zufelt K, Zuijdwijk C. User-centred development of an mHealth app for youth with type 1 diabetes: the challenge of operationalizing desired features and feasibility of offering financial incentives. Health and Technology 2022;12(2):499 View
  19. Jaffar A, Muhammad N, Mohd Sidik S, Admodisastro N, Abdul Manaf R, Foo C, Suhaili N. Feasibility and Usability of Kegel Exercise Pregnancy Training App (KEPT App) among Pregnant Women with Urinary Incontinence. International Journal of Environmental Research and Public Health 2022;19(6):3574 View
  20. Bosch-Frigola I, Coca-Villalba F, Pérez-Lacasta M, Carles-Lavila M. Diabetes mellitus and inequalities in the equipment and use of information technologies as a socioeconomic determinant of health in Spain. Frontiers in Public Health 2023;10 View
  21. Babaskin D, Litvinova T, Babaskina L, Krylova О, Winter E. Popular Diabetes Mobile Applications for Medication Intake Monitoring. Research Journal of Pharmacy and Technology 2022:347 View
  22. Chiang Y, Chang C, Yu H, Tsay P, Lo F, Chen C, Lin W, Hsu C, An C, Moons P. Developing the “Healthcare CEO App” for patients with type 1 diabetes transitioning from adolescence to young adulthood: A mixed‐methods study. Nursing Open 2023;10(3):1755 View
  23. Cestari V, Florêncio R, Garces T, Pessoa V, Moreira T. Benchmarking of mobile apps on heart failure. Revista Brasileira de Enfermagem 2022;75(1) View
  24. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  25. Wu C, Lam H, Kong A, Wong W. The design and evaluation of a digital learning-based English chatbot as an online self-learning method. International Journal of Engineering Business Management 2023;15 View
  26. Nowicki T, Piekarski R. Investigation on the limits of type 1 diabetes therapy automation using insulin pumps. Journal of Physics: Conference Series 2023;2676(1):012002 View
  27. Yu J, Kim O, Kang B, Lee S, Lee Y, Hwang H, Lee S, Kim S, Choi Y, Ko H. Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  28. Lubasinski N, Thabit H, Nutter P, Harper S. What Is the Tech Missing? Nutrition Reporting in Type 1 Diabetes. Nutrients 2024;16(11):1690 View
  29. Corsica J, Kelly M, Bradley L, Konsor M, Wilson E, Quinones I, W. Jeddi R, Markey M. Mobile apps for diabetes self-management: An updated review of app features and effectiveness. Journal of Behavioral Medicine 2024 View
  30. Wyche S, Olson D, Karanu M, Omondi E, Olonyo M. Limitations of Using Mobile Phones for Managing Type 1 Diabetes (T1D) Among Youth in Low and Middle-Income Countries: Implications for mHealth. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View

Books/Policy Documents

  1. Martinez-Millana A, Hartvigsen G, Traver Salcedo V. Personalized Health Systems for Cardiovascular Disease. View