Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15927, first published .
Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Journals

  1. Liu W, Kung H. Research on the Application of Multimedia Elements in Visual Communication Art under the Internet Background. Mobile Information Systems 2021;2021:1 View
  2. Ahmad M, A. Hamid M, Yusof A. Effects of low-level and high-intensity laser therapy as adjunctive to rehabilitation exercise on pain, stiffness and function in knee osteoarthritis: a systematic review and meta-analysis. Physiotherapy 2022;114:85 View
  3. Flaherty S, McCarthy M, Collins A, McCafferty C, McAuliffe F. Exploring engagement with health apps: the emerging importance of situational involvement and individual characteristics. European Journal of Marketing 2021;55(13):122 View
  4. Wu H, Nixon A, Dhaygude A, Jayanti A, Mitra S. Is home hemodialysis a practical option for older people?. Hemodialysis International 2021;25(4):416 View
  5. Vázquez-de Sebastián J, Ciudin A, Castellano-Tejedor C. Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature. Journal of Clinical Medicine 2021;10(12):2701 View
  6. Bellow E, Majd T, Lopez J. Technologie Persuasive et Gestion des Soins : un Examen Systématique. Management & Avenir Santé 2021;N° 7(2):57 View
  7. Taylor L, Ranaldi H, Amirova A, Zhang L, Ahmed A, Dibb B. Using virtual representations in mHealth application interventions for health-related behaviour change: A systematic review. Cogent Psychology 2022;9(1) View
  8. Gupta K, Roy S, Altameem A, Kumar R, Saudagar A, Poonia R. Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm. International Journal of Environmental Research and Public Health 2022;19(12):6999 View
  9. Liñán S, Salvador X, Álvarez A, Comaposada A, Sanchez L, Aparicio N, Rodero I, Piera J. A new theoretical engagement framework for citizen science projects: using a multi-temporal approach to address long-term public engagement challenges. Environmental Research Letters 2022;17(10):105006 View
  10. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  11. Kruse C, Mileski M, Heinemann K, Huynh H, Leafblad A, Moreno E. Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review. Journal of Multidisciplinary Healthcare 2023;Volume 16:101 View
  12. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  13. Ghozali M. Is integrating video into tech-based patient education effective for improving medication adherence? – A review. Paladyn, Journal of Behavioral Robotics 2023;14(1) View
  14. Lu F, Wang X, Li S, Zhao Q. How Mobile Health Livingstreaming Engages the Consumer-Insights from a Dual-Process Model. Sustainability 2023;15(10):8097 View