Patients' Experiences in Using Diabetes Self-Management Application: A Scoping Review

Siti Kamillah, Santhna Letchmi Panduragan, Sandeep Poddar, Bibi Florina Abdullah


Diabetes cases continue to increase and burden the nursing system worldwide. Diabetes Self-Management application software (DSM apps) can enable patients to manage their disease independently while simultaneously reducing the burden of the system. These apps are already available, yet global patients’ interests in using them are still low. This research aimed to describe the global tendencies of diabetes app usage as an effort to manage diabetes cases by exploring the perceptions of diabetes patients on the use of DSM apps. This study summarized journal searches from the Elsevier, Wiley, BMC, and JMIR database with the search terms “web-based and mobile technology,” “digital health intervention,” “diabetes management mobile application,” “mobile health for diabetes self-management,” “tablet-based self-management,” and “diabetes self-management qualitative.” A total of nine journals published between January 1, 2018, to December 31, 2020, that meet the inclusion and exclusion criteria were selected. The study concluded diabetic patients in Asia, Africa, Europe, Australia, and America stated that the DSM apps used was helpful in managing diabetes. Other demographic factors such as age, level of education, and economic status have influenced the perception and tendency to use DSM apps.


application, community nursing, diabetes, diabetes self-management, scoping review

Full Text:



 1. World Health Organization. Diabetes. WHO; 2021.

 2. US Department of Health and Human Services. National diabetes statistics report 2020: estimates of diabetes and its burden in the United States. Centers for Disease Control and Prevention; 2020.

 3. International Diabetes Federation. Diabetes facts & figures. International Diabetes Federation; 2021.

 4. Tabák AG, Herder C, Rathmann W, Brunner EJ, Kivimäki M. Prediabetes: a high-risk state for diabetes development. The Lancet. 2012; 379 (9833): 2279-90.

 5. Andes LJ, Cheng YJ, Rolka DB, Gregg EW, Imperatore G. Prevalence of prediabetes among adolescents and young adults in the United States, 2005-2016. JAMA pediatrics. 2020; 174 (2): e194498

 6. Liu JX, Goryakin Y, Maeda A, Bruckner T, Scheffler R. Global health workforce labor market projections for 2030. Human resources for health. 2017; 15 (1): 1-2.

 7. Korzh O. Self-management education in type 2 diabetes in primary care. Folia Medica. 2020; 62 (3): 525-31.

 8. Amalindah D, Winarto A, Rahmi AH. Effectiveness of mobile app-based interventions to support diabetes self-management: a scoping review. Jurnal Ners. 2020; 15 (1Sp): 9-18.

 9. American Diabetes Association. Standards of medical care in diabetes- 2020 abridged for primary care providers. Clin diabetes. 2020; 38 (1): 10-38.

 10. Villalobos N, Vela FS, Hernandez LM. Digital healthcare intervention to improve self-management for patients with type 2 diabetes: a scoping review. Journal of Scientific Innovation in Medicine. 2020; 3 (3): 21.

 11. Kulzer B, Roos T, Hermanns N, Ehrmann D, Heinemann L. 1262-P: physicians’ perceptions and attitudes towards digitalization and new technologies in diabetes care. Diabetes. 2019; 68 (Supplement_1): 1262P.

 12. Pal K, Dack C, Ross J, Michie S, May C, Stevenson F, Farmer A, Yardley L, Barnard M, Murray E. Digital health interventions for adults with type 2 diabetes: qualitative study of patient perspectives on diabetes self-management education and support. J Med Internet Res. 2018; 20 (2): e40.

 13. Hailu FB, Moen A, Hjortdahl P. Diabetes self-management education(DSME)–Effect on knowledge, self-care behavior, and self-efficacy among type 2 diabetes patients in Ethiopia: A controlled clinical trial. Diabetes Metab Syndr Obes. 2019; 12: 2489-99.

 14. Kelly L, Jenkinson C, Morley D. Experiences of using web-based and mobile technologies to support self-management of type 2 diabetes: qualitative study. JMIR diabetes. 2018; 3 (2): e9.

 15. Sargeant JM, and AM O. Scoping reviews, systematic reviews, and meta-analysis: applications in veterinary medicine. Front Vet Sci. 2020; 7 (11).

 16. Brice,R. Critical appraisal skills programme. CASP CHECKLISTS -CASP Retrieved. 2022; 6: 11,535–46.

 17. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of mobile health for diabetes self-management: lessons from two qualitative studies. JMIR Diabetes. 2019; 4 (1): e10271.

 18. Franklin RH, Waite M, Martin C. The use of mobile technology to facilitate self‐management in adults with type 1 diabetes: A qualitative explorative approach. Nursing open. 2019; 6 (3): 1013-21.

 19. Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of users’ perspectives and needs and design of a type 1 diabetes management Mobile app: mixed-methods study. JMIR mHealth and uHealth. 2018;6 (9): e11400.

 20. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of type 2 diabetes mellitus: a qualitative study among app users and non-app users. Diabetol Metab Syndr. 2019; 11(1): 1-7.

 21. Baptista S, Wadley G, Bird D, Oldenburg B, Speight J, My Diabetes Coach Research Group. User experiences with a type 2 diabetes coaching app: qualitative study. JMIR Diabetes. 2020; 5 (3): e16692.

 22. Alkawaldeh MY, Jacelon CS, Choi J. Older adults’ experiences with a tablet-based self-management intervention for diabetes mellitus type II: A qualitative study. Geriatric Nursing. 2020; 41 (3): 305-12.

 23. National Geographic Society. Confucianism. Society; 2020.

 24. Robson D. How east and West think in profoundly different ways. BBC; 2017.

 25. Petersen F, Brown A, Pather S, Tucker WD. Challenges for the adoption of ICT for diabetes self‐management in South Africa. E J Info Sys Dev Countries. 2020; 86 (5): e12113.

 26. Ye Q, Khan U, Boren SA, Simoes EJ, Kim MS. An analysis of diabetes mobile applications features compared toAADE7™: addressing self-management behaviors in people with diabetes. Journal of Diabetes Science and Technology. 2017;12 (4):808-16.

 27. Arize I, Onwujekwe O. Acceptability and willingness to pay for telemedicine services in Enugu state, southeast Nigeria. Digital health. 2017.

 28. Alanzi, T. mHealth for diabetes self-management in the Kingdom of Saudi Arabia: barriers and solutions. Journal of Multidisciplinary Healthcare. 2018; 11: 535-46.

 29. Heinz M, Martin P, Margrett JA, Yearns M, Franke W, Yang HI, Wong J, Chang CK. Perceptions of technology among older adults. Journal of gerontological nursing. 2013; 39 (1): 42-51.

 30. Vaportzis E, Giatsi Clausen M, Gow AJ. Older adults perceptions of technology and barriers to interacting with tablet computers: a focus group study. Front Psychol. 2017; 8: 1687.



  • There are currently no refbacks.