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

Apps, Mobile, Wearables for Diabetes (288) Usability of Apps and User Perceptions of mHealth (899) Diabetes Self-Management (463) Health Coaching for Diabetes Patients (142)

Published on in Vol 5, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16692, first published .
User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study

User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study

User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study

Authors of this article:

Shaira Baptista1, 2 Author Orcid Image ;   Greg Wadley3 Author Orcid Image ;   Dominique Bird4 Author Orcid Image ;   Brian Oldenburg1 Author Orcid Image ;   Jane Speight1, 2 Author Orcid Image ;   The My Diabetes Coach Research Group5
Article Authors Cited by (20) Tweetations (6) Metrics

Journals

  1. Signal V, McLeod M, Stanley J, Stairmand J, Sukumaran N, Thompson D, Henderson K, Davies C, Krebs J, Dowell A, Grainger R, Sarfati D. A Mobile- and Web-Based Health Intervention Program for Diabetes and Prediabetes Self-Management (BetaMe/Melon): Process Evaluation Following a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(12):e19150 View
  2. Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3 View
  3. Gong E, Baptista S, Russell A, Scuffham P, Riddell M, Speight J, Bird D, Williams E, Lotfaliany M, Oldenburg B. My Diabetes Coach, a Mobile App–Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial. Journal of Medical Internet Research 2020;22(11):e20322 View
  4. Schnitzer K, Cather C, Zvonar V, Dechert A, Plummer R, Lowman K, Pachas G, Potter K, Evins A. Patient Experience and Predictors of Improvement in a Group Behavioral and Educational Intervention for Individuals With Diabetes and Serious Mental Illness: Mixed Methods Case Study. Journal of Participatory Medicine 2021;13(1):e21934 View
  5. Lauffenburger J, Barlev R, Sears E, Keller P, McDonnell M, Yom-Tov E, Fontanet C, Hanken K, Haff N, Choudhry N. Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study. Journal of Medical Internet Research 2021;23(6):e25958 View
  6. Yin K, Jung J, Coiera E, Ho K, Vagholkar S, Blandford A, Rapport F, Lau A. How Patient Work Changes Over Time for People With Multimorbid Type 2 Diabetes: Qualitative Study. Journal of Medical Internet Research 2021;23(7):e25992 View
  7. Bassi G, Giuliano C, Perinelli A, Forti S, Gabrielli S, Salcuni S. A Virtual Coach (Motibot) for Supporting Healthy Coping Strategies Among Adults With Diabetes: Proof-of-Concept Study. JMIR Human Factors 2022;9(1):e32211 View
  8. 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
  9. Alghareeb M, Albesher A, Asif A. Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia. Sustainability 2023;15(2):956 View
  10. Lauffenburger J, Yom-Tov E, Keller P, McDonnell M, Bessette L, Fontanet C, Sears E, Kim E, Hanken K, Buckley J, Barlev R, Haff N, Choudhry N. REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial. BMJ Open 2021;11(12):e052091 View
  11. Dhinagaran D, Car L. Public perceptions of a healthy lifestyle change conversational agent in Singapore: A qualitative study. DIGITAL HEALTH 2022;8:205520762211311 View
  12. Hall L, Islam M. Key Considerations for Understanding Usability of Digital Health Initiatives for Adults With Type 2 Diabetes: A Systematic Qualitative Literature Review. Journal of Diabetes Science and Technology 2023;17(3):833 View
  13. 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
  14. Kwan Y, Ong Z, Choo D, Phang J, Yoon S, Low L. A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings. Patient Preference and Adherence 2023;Volume 17:1 View
  15. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida A, Zamora-Zamorano G, Castro-Fernandez M, Alberiche-Ruano M, Solvoll T, Bartnæs C, Schopf T, Callico G, Soguero-Ruiz C, Wagner A. Quality, Usability and Effectiveness of mHealth Applications and the Role of Artificial Intelligence: Current Scenario and Challenges (Preprint). Journal of Medical Internet Research 2022 View
  16. Baumann M, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639 View
  17. Guo H, Xiao Y, Liao C, Sun J, Xie Y, Zheng Y, Fan G. U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes. Frontiers in Endocrinology 2023;14 View
  18. Jiang Z, Huang X, Wang Z, Liu Y, Huang L, Luo X. Embodied Conversational Agents for Chronic Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e47134 View
  19. Lauffenburger J, Yom-Tov E, Keller P, McDonnell M, Crum K, Bhatkhande G, Sears E, Hanken K, Bessette L, Fontanet C, Haff N, Vine S, Choudhry N. The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. npj Digital Medicine 2024;7(1) View

Books/Policy Documents

  1. Martinho D, Crista V, Pinto A, Diniz J, Freitas A, Carneiro J, Marreiros G. Ambient Intelligence—Software and Applications—13th International Symposium on Ambient Intelligence. View