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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Design and Formative Evaluation of Mobile Apps (694) User Needs and Competencies (303) Apps, Mobile, Wearables for Diabetes (298) Diabetes Self-Management (484)

Published on in Vol 6, No 9 (2018): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11400, first published .
Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study

Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study

Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study

Authors of this article:

Yiyu Zhang1, 2, 3 Author Orcid Image ;   Xia Li1, 2, 3 Author Orcid Image ;   Shuoming Luo1, 2, 3 Author Orcid Image ;   Chaoyuan Liu4 Author Orcid Image ;   Fang Liu1 Author Orcid Image ;   Zhiguang Zhou1, 2, 3 Author Orcid Image
Article Authors Cited by (27) Tweetations (5) Metrics

Journals

  1. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  2. Larbi D, Randine P, Årsand E, Antypas K, Bradway M, Gabarron E. Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. Journal of Medical Internet Research 2020;22(7):e18480 View
  3. Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658 View
  4. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455 View
  5. Najm A, Lempp H, Gossec L, Berenbaum F, Nikiphorou E. Needs, Experiences, and Views of People With Rheumatic and Musculoskeletal Diseases on Self-Management Mobile Health Apps: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(4):e14351 View
  6. 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
  7. Najm A, Nikiphorou E, Kostine M, Richez C, Pauling J, Finckh A, Ritschl V, Prior Y, Balážová P, Stones S, Szekanecz Z, Iagnocco A, Ramiro S, Sivera F, Dougados M, Carmona L, Burmester G, Wiek D, Gossec L, Berenbaum F. EULAR points to consider for the development, evaluation and implementation of mobile health applications aiding self-management in people living with rheumatic and musculoskeletal diseases. RMD Open 2019;5(2):e001014 View
  8. Alhodaib H, Antza C, Chandan J, Hanif W, Sankaranarayanan S, Paul S, Sutcliffe P, Nirantharakumar K. Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study. JMIR Diabetes 2020;5(4):e19650 View
  9. Huang F, Wu X, Xie Y, Liu F, Li J, Li X, Zhou Z. An automated structured education intervention based on a smartphone app in Chinese patients with type 1 diabetes: a protocol for a single-blinded randomized controlled trial. Trials 2020;21(1) View
  10. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  11. 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
  12. Hensher M, Cooper P, Dona S, Angeles M, Nguyen D, Heynsbergh N, Chatterton M, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318 View
  13. Nørlev J, Sondrup K, Derosche C, Hejlesen O, Hangaard S. Game Mechanisms in Serious Games That Teach Children with Type 1 Diabetes How to Self-Manage: A Systematic Scoping Review. Journal of Diabetes Science and Technology 2022;16(5):1253 View
  14. 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
  15. Holtz B, Mitchell K. Supporting Parents of Children With Type 1 Diabetes: Experiment Comparing Message and Delivery Types. JMIR Formative Research 2023;7:e41193 View
  16. Scaratti M, Argenta C, Xavier de Almeida W, Argenta Zanatta E. Mobile application resources to selfcare and selfmanagement of type i diabetes mellitus: integrative review / Recursos de aplicativos móveis para autocuidado e autogerenciamento do diabetes mellitus tipo i: revisão integrativa. Revista de Pesquisa Cuidado é Fundamental Online 2021;13:1374 View
  17. Geirhos A, Stephan M, Wehrle M, Mack C, Messner E, Schmitt A, Baumeister H, Terhorst Y, Sander L. Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management. Scientific Reports 2022;12(1) View
  18. Bouabida K, Malas K, Talbot A, Desrosiers M, Lavoie F, Lebouché B, Taguemout M, Rafie E, Lessard D, Pomey M. Remote Patient Monitoring Program for COVID-19 Patients Following Hospital Discharge: A Cross-Sectional Study. Frontiers in Digital Health 2021;3 View
  19. Ossai C, Wickramasinghe N. Crowdsourcing Operational and Design Flaws of Diabetes Mobile Apps. Journal of Medical Systems 2022;46(12) View
  20. Gao C, Shen Y, Xu W, Zhang Y, Tu Q, Zhu X, Lu Z, Yang Y. A fuzzy-set qualitative comparative analysis exploration of multiple paths to users’ continuous use behavior of diabetes self-management apps. International Journal of Medical Informatics 2023;172:105000 View
  21. Klemme I, Wrona K, de Jong I, Dockweiler C, Aschentrup L, Albrecht J. Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes 2023;8:e38474 View
  22. An L, Yeh K, Liu Y, Wang D, Li X, Tang Q, Lu J. An Online Structured Diabetes Self-Management Education and Support Programme Improves Glycaemic Control in Young Adults with Type 1 Diabetes. Journal of Multidisciplinary Healthcare 2023;Volume 16:2641 View
  23. Färber A, Schwabe C, Stalder P, Dolata M, Schwabe G. Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients. JMIR Human Factors 2024;11:e49647 View
  24. Thøgersen-Ntoumani C, Grunseit A, Holtermann A, Steiner S, Tudor-Locke C, Koster A, Johnson N, Maher C, Ahmadi M, Chau J, Stamatakis E. Promoting vigorous intermittent lifestyle physical activity (vilpa) in middle-aged adults: an evaluation of the movsnax mobile app. BMC Public Health 2024;24(1) View
  25. Tang T, Sharif N, Ng C, McLean L, Klein G, Amed S. Evaluating a Digitally Delivered, Multi-Modal Intervention for Parents of Children with Type 1 Diabetes: A Proof-of-Concept Study. Children 2024;11(9):1114 View
  26. Birhanu T, Guracho Y, Asmare S, Olana D. A mobile health application use among diabetes mellitus patients: a systematic review and meta-analysis. Frontiers in Endocrinology 2024;15 View

Books/Policy Documents

  1. Paul C, Spiru L. Information and Communication Technologies for Ageing Well and e-Health. View