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

Apps, Mobile, Wearables for Diabetes (306) Diabetes Self-Management (495) Glucose Tracking and Self-Monitoring of Blood Glucose (166) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Focus Groups and Qualitative Research for Human Factors Research (880) Web-based and Mobile Health Interventions (3357) Exercise and Diet Tracking for Diabetes Patients (86)

Published on in Vol 7, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31451, first published .
Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study

Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study

Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study

Authors of this article:

Marloes Bults1 Author Orcid Image ;   Catharina Margaretha van Leersum2 Author Orcid Image ;   Theodorus Johannes Josef Olthuis3 Author Orcid Image ;   Robin Enya Marije Bekhuis4 Author Orcid Image ;   Marjolein Elisabeth Maria den Ouden1 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

Journals

  1. Schretzlmaier P, Hecker A, Ammenwerth E. Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study. BMJ Health & Care Informatics 2022;29(1):e100640 View
  2. Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M. Mobile Health Apps for the Control and Self-management of Type 2 Diabetes Mellitus: Qualitative Study on Users’ Acceptability and Acceptance. JMIR Diabetes 2023;8:e41076 View
  3. Khalid A, Dong Q, Chuluunbaatar E, Haldane V, Durrani H, Wei X. Implementation Science Perspectives on Implementing Telemedicine Interventions for Hypertension or Diabetes Management: Scoping Review. Journal of Medical Internet Research 2023;25:e42134 View
  4. Joshua S, Abbas W, Lee J. M-Healthcare Model: An Architecture for a Type 2 Diabetes Mellitus Mobile Application. Applied Sciences 2022;13(1):8 View
  5. Fu H, Wyman J, Peden-McAlpine C, Draucker C, Schleyer T, Adam T. App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy. JMIR Diabetes 2023;8:e38592 View
  6. Jarl F, Davelid A, Hedin K, Stomby A, Petersson C. Overcoming the struggle of living with type 2 diabetes – diabetes specialist nurses’ and patients’ perspectives on digital interventions. BMC Health Services Research 2023;23(1) View
  7. Mejia Salazar I, Moreno Mantilla C, Aguilar Zambrano J, Trujillo Suárez M, Loaiza Ramírez J. Validation of a participant selection method within a mixed sequential research design for case studies of sustainable supply chains*. Cuadernos de Administración 2023;36 View
  8. Smeijers J, Bults M, den Ouden M, Bekhuis R. Apps: eerste keus ‘medicijn’ voor patiënten met diabetes mellitus type 2?. TSG - Tijdschrift voor gezondheidswetenschappen 2023;101(4):178 View
  9. Lee H, Hwang Y. Training with, about, for Metaverse: A Mixed Methods Research on Training Pre-Service Teachers as Metaverse-Certified Practitioners. STEM Journal 2023;24(4):73 View
  10. Alanzi T, Alzahrani W, Almoraikhi ‏, Algannas ‏, Alghamdi M, Alzahrani ‏, Abutaleb R, Ba Dughaish ‏, Alotibi N, Alkhalifah S, Alshehri ‏, Alzahrani H, Almahdi ‏, Alanzi N, Farhah ‏. Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study. Cureus 2023 View
  11. Yang S, Lim S, Choi Y, Lee J, Yoon K. Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study. Endocrinology and Metabolism 2024;39(2):364 View
  12. Johnson B, George J, Basanth A, Chandran V, Kesavadev J. The Plethora of Possibilities with a Smartphone in Diabetes Prevention and Care. International Journal of Diabetes and Technology 2023;2(4):123 View
  13. van Leersum C, Bults M, Siebrand E, Olthuis T, Bekhuis R, Konijnendijk A, den Ouden M. Exploring Opportunities and Challenges for the Spread, Scale-up and Sustainability of Mobile Health Apps for Self-management of Patients With Type 2 Diabetes Mellitus in the Netherlands: A Citizen Science Approach (Preprint). JMIR Diabetes 2024 View
  14. Dsouza S, Venne J, Shetty S, Brand H. Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study. Diabetology & Metabolic Syndrome 2024;16(1) View
  15. 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
  16. LeSeure P, Chin E, Zhang S. A Culturally Sensitive Mobile App (DiaFriend) to Improve Self-Care in Patients With Type 2 Diabetes: Development Study. JMIR Diabetes 2024;9:e63393 View
  17. Chong C, Makmor-Bakry M, Hatah E, Mohd Tahir N, Mustafa N, Capule F, Hermansyah A. Factors infuencing type 2 diabetes mellitus patients’ readiness, acceptance and barriers towards mobile apps adoption for medication adherence. International Journal of Diabetes in Developing Countries 2024 View
  18. Chong C, Makmor-Bakry M, Hatah E, Mohd Tahir N, Mustafa N, Capule F, Hermansyah A. A qualitative study of type 2 diabetes mellitus outpatients' perspectives on readiness, acceptance and barriers of mobile apps for medication adherence. Patient Education and Counseling 2025;131:108547 View