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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Use and User Demographics of mHealth (344) Apps, Mobile, Wearables for Diabetes (306) Diabetes Self-Management (495)

Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12658, first published .
Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey

Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey

Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey

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 ;   Yuting Xie1, 2, 3 Author Orcid Image ;   Jia Guo5 Author Orcid Image ;   Fang Liu1 Author Orcid Image ;   Zhiguang Zhou1, 2, 3 Author Orcid Image
Article Authors Cited by (65) Tweetations Metrics

Journals

  1. Chen X, Zhou X, Li H, Li J, Jiang H. The value of WeChat application in chronic diseases management in China. Computer Methods and Programs in Biomedicine 2020;196:105710 View
  2. Abduo H, Curtain C, Othman N. Use of Smartphone Applications for Diabetes Management in Kuwait: A Pilot Study. Journal of Consumer Health on the Internet 2020;24(2):111 View
  3. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  4. Koepp J, Baron M, Hernandes Martins P, Brandenburg C, Kira A, Trindade V, Ley Dominguez L, Carneiro M, Frozza R, Possuelo L, De Mello Pinto M, Mahlmann Kipper L, Pinheiro da Costa B. The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores. JMIR mHealth and uHealth 2020;8(6):e14266 View
  5. Guo F, Qiu X, Zhu Y, Tan Z, Li Z, Ouyang D. Association between plasma betaine levels and dysglycemia in patients with coronary artery disease. Bioscience Reports 2020;40(8) View
  6. Vasiloglou M, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S. What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey. Nutrients 2020;12(8):2214 View
  7. Chen C, Wang L, Chi H, Chen W, Park M. Comparative efficacy of social media delivered health education on glycemic control: A meta-analysis. International Journal of Nursing Sciences 2020;7(3):359 View
  8. Rinaldi G, Hijazi A, Haghparast-Bidgoli H. Cost and cost-effectiveness of mHealth interventions for the prevention and control of type 2 diabetes mellitus: A systematic review. Diabetes Research and Clinical Practice 2020;162:108084 View
  9. 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
  10. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  11. Li J, Huang J, Zheng L, Li X. Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect. Frontiers in Public Health 2020;8 View
  12. 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
  13. 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
  14. 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
  15. Guo S, Hsing H, Lin J, Lee C. Relationships Between Mobile eHealth Literacy, Diabetes Self-care, and Glycemic Outcomes in Taiwanese Patients With Type 2 Diabetes: Cross-sectional Study. JMIR mHealth and uHealth 2021;9(2):e18404 View
  16. Abd-alrazaq A, Suleiman N, Baagar K, Jandali N, Alhuwail D, Abdalhakam I, Shahbal S, Abou-Samra A, Househ M. Patients and healthcare workers experience with a mobile application for self-management of diabetes in Qatar: A qualitative study. Computer Methods and Programs in Biomedicine Update 2021;1:100002 View
  17. 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
  18. Oliveira F, Calliari L, Feder C, Almeida M, Pereira M, Alves M, Garcia S, Reis L, Salles J. Efficacy of a glucose meter connected to a mobile app on glycemic control and adherence to self-care tasks in patients with T1DM and LADA: a parallel-group, open-label, clinical treatment trial. Archives of Endocrinology and Metabolism 2021 View
  19. Baek J, Lin S, Bolin J, Ory M, Flores S, Kash B. Factors Affecting Adoption of a Technology-Based Tool for Diabetes Self-Management Education and Support Among Adult Patients with Type 2 Diabetes in South Texas. The Science of Diabetes Self-Management and Care 2021;47(3):189 View
  20. Liu B, Huang F, Wu X, Xie Y, Xu R, Huang J, Li J, Yang X, Li X, Zhou Z. Poor guideline adherence in type 1 diabetes education in real-world clinical practice: Evidence from a multicentre, national survey. Patient Education and Counseling 2021;104(11):2740 View
  21. Xu Y, Xu L, Zhao W, Li Q, Li M, Lu W, Zeng H, Yan J, Yang D, Wu W, Weng J, Pan J, Liu F. Effectiveness of a WeChat Combined Continuous Flash Glucose Monitoring System on Glycemic Control in Juvenile Type 1 Diabetes Mellitus Management: Randomized Controlled Trial. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2021;Volume 14:1085 View
  22. Ossai C, Wickramasinghe N. Text Mining and Grounded Theory for Appraising the Self-Management Indicators of Diabetes Mobile Apps. Endocrine and Metabolic Science 2021;4:100101 View
  23. He Q, Zhao X, Wang Y, Xie Q, Cheng L. Effectiveness of smartphone application–based self‐management interventions in patients with type 2 diabetes: A systematic review and meta‐analysis of randomized controlled trials. Journal of Advanced Nursing 2022;78(2):348 View
  24. 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
  25. Xia S, Maitiniyazi G, Chen Y, Wu X, Zhang Y, Zhang X, Li Z, Liu Y, Qiu Y, Wang J. Web-Based TangPlan and WeChat Combination to Support Self-management for Patients With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(3):e30571 View
  26. Liu K, Or C, So M, Cheung B, Chan B, Tiwari A, Tan J. A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB. Applied Ergonomics 2022;100:103667 View
  27. Montazeri M, Khajouei R, Faggioni L. Determining the Effect of the Picture Archiving and Communication System (PACS) on Different Dimensions of Users’ Work. Radiology Research and Practice 2022;2022:1 View
  28. Ma Y, Zhong X, Lin B, He W. Factors Influencing the Intention of MSM to Use the PrEP Intelligent Reminder System. Risk Management and Healthcare Policy 2021;Volume 14:4739 View
  29. Lim S, Tay M, Ong K, Johal J, Yap Q, Chan Y, Yeo G, Khoo C, Yaxley A. Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D’LITE Study): Prospective Cohort Study. JMIR Diabetes 2022;7(3):e35039 View
  30. Schretzlmaier P, Hecker A, Ammenwerth E. Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study. JMIR Human Factors 2022;9(1):e34918 View
  31. Alsaad H, Almahdi J, Alsalameen N, Alomar F, Islam M. Assessment of self-medication practice and the potential to use a mobile app to ensure safe and effective self-medication among the public in Saudi Arabia. Saudi Pharmaceutical Journal 2022;30(7):927 View
  32. 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
  33. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153 View
  34. Alkhaldi O, McMillan B, Maddah N, Ainsworth J. Interventions Aimed at Enhancing Health Care Providers’ Behavior Toward the Prescription of Mobile Health Apps: Systematic Review. JMIR mHealth and uHealth 2023;11:e43561 View
  35. Ossai C, Wickramasinghe N. Crowdsourcing Operational and Design Flaws of Diabetes Mobile Apps. Journal of Medical Systems 2022;46(12) View
  36. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  37. Ossai C, Wickramasinghe N. Automatic user sentiments extraction from diabetes mobile apps – An evaluation of reviews with machine learning. Informatics for Health and Social Care 2023;48(3):211 View
  38. Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M. Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study. JMIR Diabetes 2022;7(1):e31451 View
  39. Jamal A, Tharkar S, Babaier W, Alsomali S, Alsulayhim A, Alayuni M, Aldakheel N, Al-Osaimi S, Alshehri N, Batais M. Blood Glucose Monitoring and Sharing Amongst People With Diabetes and Their Facilitators: Cross-sectional Study of Methods and Practices. JMIR Diabetes 2021;6(4):e29178 View
  40. Feng Y, Zhao Y, Mao L, Gu M, Yuan H, Lu J, Zhang Q, Zhao Q, Li X. The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e40420 View
  41. Tao X, Zhang X, Mao L, Zhang P, Peiris D. Status, Functions, and Quality of Mobile Applications for Type 2 Diabetes Care in China: Survey Based on App Markets. SSRN Electronic Journal 2022 View
  42. Abdulhussein F, Pinkney S, Görges M, van Rooij T, Amed S. Designing a Collaborative Patient-Centered Digital Health Platform for Pediatric Diabetes Care in British Columbia: Formative Needs Assessment by Caregivers of Children and Youths Living With Type 1 Diabetes and Health Care Providers. JMIR Pediatrics and Parenting 2023;6:e46432 View
  43. 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
  44. Xie L, Housni A, Roy-Fleming A, Bandini A, Delormier T, Costa D, Brazeau A. Evaluation of Support, a self-guided online type 1 diabetes self-management education and support web application—a mixed methods study. DIGITAL HEALTH 2023;9 View
  45. Guo S, Lin J, Hsing H, Lee C, Chuang S. The Effect of Mobile eHealth Education to Improve Knowledge, Skills, Self-Care, and Mobile eHealth Literacies Among Patients With Diabetes: Development and Evaluation Study. Journal of Medical Internet Research 2023;25:e42497 View
  46. 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
  47. Tang H, Qin H, Zhang M, Zhang J, Tan H, Chen M, Kong L, Guo M, Hu F, Wang Q, Wang X, Zhang K, Xiong Z. Efficacy of a smartphone application for helping individuals with type 2 diabetes mellitus manage their blood glucose: a protocol for factorial design trial. Trials 2023;24(1) View
  48. Sabahi A, Jalali S, Ameri F, Garavand A, Negahban A. The effect of using mobile health on self-management of type 2 diabetic patients: A systematic review in Iran. Journal of Education and Health Promotion 2023;12(1) View
  49. Farooq M, RAJA H. Mobile Health Applications to Develop an Active and Healthy Life of Senior Citizen. VFAST Transactions on Software Engineering 2022;10(1):56 View
  50. Chen H, Li H, Li L, Zhang X, Gu J, Wang Q, Wu C, Wu Y. Factors Associated with Intention to Use Telerehabilitation for Children with Special Needs: A Cross-Sectional Study. Telemedicine and e-Health 2024;30(5):1425 View
  51. Yoon S, Tang H, Tan C, Phang J, Kwan Y, Low L. Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2024;9:e48310 View
  52. Peng Y, Duan J, Hou J, Xu N, Wu J, Bao X, Yao Q, Li Y. Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform. BMC Health Services Research 2024;24(1) View
  53. Deng C, Xie Y, Liu F, Tang X, Fan L, Yang X, Chen Y, Zhou Z, Li X. Simplified integration of optimal self-management behaviors is associated with improved HbA1c in patients with type 1 diabetes. Journal of Endocrinological Investigation 2024;47(11):2691 View
  54. Zhang Q, Ma L. From Perceptions to Actions: Unveiling Factors Influencing Diabetic Patients’ Attitudes and Compliance Intention with Smart Blood Glucose Management Technology. International Journal of Human–Computer Interaction 2024:1 View
  55. van Leersum C, Konrad K, Bults M, den Ouden M. Living with my diabetes – introducing eHealth into daily practices of patients with type 2 diabetes mellitus. DIGITAL HEALTH 2024;10 View
  56. Alkhaldi O, McMillan B, Ainsworth J. Using the behaviour change wheel to develop a tailored intervention to overcome general practitioners’ perceived barriers to referring insomnia patients to digital therapeutic sleepio. BMC Health Services Research 2024;24(1) View
  57. Fatahi A, Sajadi S, Farsi Z. Comparing the Effects of Healthy Lifestyle Education Through Peer Group and mHealth App on Self-esteem in Patients with Diabetes Mellitus: A Randomized Controlled Trial. Jundishapur Journal of Chronic Disease Care 2024;13(4) View
  58. 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
  59. Alkharis V, Asiandi , Supriyadi , Purwandari R. Design and Development of Diabestfriend Application for Digital Self Care Management of Type 2 Diabetes Mellitus Patients. Revista de Gestão Social e Ambiental 2024;18(10):e08958 View
  60. Xie W, Hu G, Wang Y, Luo X, Liao L, Fu A, Lin J. The feasibility of M-health for people with chronic low back pain in Shanghai, China: A qualitative study. Hong Kong Physiotherapy Journal 2024:1 View

Books/Policy Documents

  1. Bustos D, Teixeira T, Guedes J, Santos Baptista J, Vaz M. Occupational and Environmental Safety and Health III. View
  2. Ndlovu B, Chipangura B, Singh S. Proceedings of Ninth International Congress on Information and Communication Technology. View