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

User-Centered Design Case Studies (713) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Diabetes Self-Management (588) Web-based and Mobile Health Interventions (4018) Apps, Mobile, Wearables for Diabetes (364) Exercise and Diet Tracking for Diabetes Patients (117) Ecological Momentary Assessment (EMA) (405) Health Coaching for Diabetes Patients (175) Behavior Change (863) Formative Studies and eHealth/mHealth Development (575) mHealth for Wellness, Behavior Change and Prevention (3315) Mobile Health (mhealth) (3464)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40017, first published .
A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study

A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study

A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study

Authors of this article:

Eclaire A G Hietbrink1, 2 Author Orcid Image ;   Anouk Middelweerd1 Author Orcid Image ;   Pepijn van Empelen3 Author Orcid Image ;   Katharina Preuhs3 Author Orcid Image ;   Annemieke A J Konijnendijk1 Author Orcid Image ;   Wendy Oude Nijeweme-d’Hollosy1 Author Orcid Image ;   Laura K Schrijver1 Author Orcid Image ;   Gozewijn D Laverman1, 4 Author Orcid Image ;   Miriam M R Vollenbroek-Hutten1, 5 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Düzel E, Thyrian J. Mobile, alltagsnahe digitale Technologien für die Prävention der Alzheimer-Demenz: kognitive Gesundheit und kognitive Sicherheit. Der Nervenarzt 2023;94(5):400 View
  2. Hietbrink E, Oude Nijeweme-d’Hollosy W, Middelweerd A, Konijnendijk A, Schrijver L, ten Voorde A, Fokkema E, Laverman G, Vollenbroek-Hutten M. A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy Testing. JMIR Formative Research 2023;7:e45294 View
  3. Novak J, Jurkova K, Lojkaskova A, Jaklova A, Kuhnova J, Pfeiferova M, Kral N, Janek M, Omcirk D, Malisova K, Maes I, Dyck D, Wahlich C, Ussher M, Elavsky S, Cimler R, Pelclova J, Tufano J, Steffl M, Seifert B, Yates T, Harris T, Vetrovsky T. Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). BMC Public Health 2024;24(1) View
  4. Hietbrink E, Middelweerd A, d’Hollosy W, Schrijver L, Laverman G, Vollenbroek-Hutten M. Exploring the Acceptance of Just-in-Time Adaptive Lifestyle Support for People With Type 2 Diabetes: Qualitative Acceptability Study. JMIR Formative Research 2025;9:e65026 View
  5. Cotie P, Willms A, Liu S. Implementation of Behavior Change Theories and Techniques for Physical Activity Just-in-Time Adaptive Interventions: A Scoping Review. International Journal of Environmental Research and Public Health 2025;22(7):1133 View
  6. Mohammadzadeh N, Lotfi F, Samadpour H. Identifying Influential Theories in Human–Computer Interaction Within Health Informatics: A Systematic Review. Health Science Reports 2025;8(7) View
  7. Wang Z, He Y, Wang J, Sun Y. Mapping the research trends and hotspots of exercise and nutrition in diabetes: a bibliometric and visual analysis (2005–2025). Frontiers in Nutrition 2025;12 View
  8. Hietbrink E, Lansink C, Laverman G, Vollenbroek-Hutten M, Middelweerd A, Tabak M. Systematic review of dynamically tailored eHealth interventions targeting physical activity and healthy diet in chronic disease. npj Digital Medicine 2025;8(1) View

Books/Policy Documents

  1. Yanyan Z, A.Iahad N, Yusof A. Current and Future Trends on AI Applications. View
  2. Vitale J, Berkovsky S, Takeuchi S, Beheshti A, Xin K, Saito J, Yamao S. Persuasive Technology. View