Acceptability of an mHealth App Intervention for Persons With Type 2 Diabetes and its Associations With Initial Self-Management: Randomized Controlled Trial

Journals

1. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
2. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes. International Journal of Environmental Research and Public Health 2020;17(7):2573 View
3. Torbjørnsen A, Småstuen M, Jenum A, Årsand E, Ribu L. The Service User Technology Acceptability Questionnaire: Psychometric Evaluation of the Norwegian Version. JMIR Human Factors 2018;5(4):e10255 View
4. Larbi D, Randine P, Årsand E, Antypas K, Bradway M, Gabarron E. Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. Journal of Medical Internet Research 2020;22(7):e18480 View
5. Nielsen A, Kidholm K, Kayser L. Patients’ reasons for non-use of digital patient-reported outcome concepts: A scoping review. Health Informatics Journal 2020;26(4):2811 View
6. Kordonouri O, Riddell M. Use of apps for physical activity in type 1 diabetes: current status and requirements for future development. Therapeutic Advances in Endocrinology and Metabolism 2019;10 View
7. Bradway M, Giordanengo A, Joakimsen R, Hansen A, Grøttland A, Hartvigsen G, Randine P, Årsand E. Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study. JMIR Research Protocols 2020;9(2):e16657 View
8. Pereira A, Destro J, Picinin Bernuci M, Garcia L, Rodrigues Lucena T. Effects of a WhatsApp-Delivered Education Intervention to Enhance Breast Cancer Knowledge in Women: Mixed-Methods Study. JMIR mHealth and uHealth 2020;8(7):e17430 View
9. Batch B, Spratt S, Blalock D, Benditz C, Weiss A, Dolor R, Cho A. General Behavioral Engagement and Changes in Clinical and Cognitive Outcomes of Patients with Type 2 Diabetes Using the Time2Focus Mobile App for Diabetes Education: Pilot Evaluation. Journal of Medical Internet Research 2021;23(1):e17537 View
10. Bassi G, Gabrielli S, Donisi V, Carbone S, Forti S, Salcuni S. Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review. Journal of Medical Internet Research 2021;23(1):e17740 View
11. Areemit R, Lumbiganon P, Suphakunpinyo C, Jetsrisuparb A, Sutra S, Sripanidkulchai K. A Mobile App, KhunLook, to Support Thai Parents and Caregivers With Child Health Supervision: Development, Validation, and Acceptability Study. JMIR mHealth and uHealth 2020;8(10):e15116 View
12. Song T, Deng N, Cui T, Qian S, Liu F, Guan Y, Yu P. Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation. Journal of Medical Internet Research 2021;23(7):e26670 View
13. Chan C, Popeski N, Hassanabad M, Sigal R, O’Connell P, Sargious P. Use of Virtual Care for Glycemic Management in People With Types 1 and 2 Diabetes and Diabetes in Pregnancy: A Rapid Review. Canadian Journal of Diabetes 2021;45(7):677 View
14. AshaRani P, Jue Hua L, Roystonn K, Siva Kumar F, Peizhi W, Ying Jie S, Shafie S, Chang S, Jeyagurunathan A, Boon Yiang C, Abdin E, Ajit Vaingankar J, Sum C, Lee E, Chong S, Subramaniam M. Readiness and Acceptance of eHealth Services for Diabetes Care in the General Population: Cross-sectional Study. Journal of Medical Internet Research 2021;23(9):e26881 View
15. Ribu E, Singstad T, Torbjørnsen A, Småstuen M, Holmen H. The feasibility of telephone health counselling provided by a nurse for people with diabetes. Nordisk sygeplejeforskning 2020;10(2):112 View
16. Dehnavi Z, Ayatollahi H, Hemmat M, Abbasi R. Health Information Technology and Diabetes Management: A Review of Motivational and Inhibitory Factors. Current Diabetes Reviews 2021;17(3):268 View
17. Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235 View
18. Van Schalkwyk A, Grobbelaar S, Vermeulen E, Herselman M. A Scoping Review of the Use of Log Data for Evaluating Mobile Apps: Exploring Implications for mHealth Apps. IEEE Access 2022;10:124805 View
19. Nielsen A, Hanna L, Larsen B, Appel C, Osborne R, Kayser L. Readiness, acceptance and use of digital patient reported outcome in an outpatient clinic. Health Informatics Journal 2022;28(2) View
20. 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
21. Yang A, Singh N, Varshney U. Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework. Journal of Medical Systems 2022;46(10) View
22. 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
23. ÖCAL P. The use of mobile health applications in empowering self-management of type 2 diabetes: a literature review. The European Research Journal 2024;10(1):127 View
24. Sivan M, Lawrence R, Francis E. Digital interactive patient reported outcome measures for long term conditions. BMJ 2023:p1816 View

Books/Policy Documents

1. Pouliakis A, Karakitsou E, Margari N. Mobile Health Applications for Quality Healthcare Delivery. View