Assessment of the usability of a mobile application for self-care for patients with diabetes

Authors

DOI:

https://doi.org/10.33448/rsd-v11i3.26014

Keywords:

Diabetes Mellitus; Digital inclusion; Self-care.

Abstract

This study aimed to evaluate the usability of a mobile application for self-care for patients with diabetes. This is a methodological research, carried out in three public diabetes clinics in the state of Sergipe. Data collection took place between July and September 2021. 77 patients with diabetes, aged between 18 and 83 years, were included. Of these, 2.6% said they had total visual impairment. After learning about and testing the DiaVision application, the participants answered a form on the usability assessment. Absolute and relative frequencies of categorical variables and mode and interquartile range of continuous variables were described. The Mann-Whitney and Kruskal-Wallis tests were used to assess the hypothesis of equality of mode. Among respondents, 90.1% said they would like to have the app; 62.3% rated maximum satisfaction with the app and 53.2% responded that they would use the app always. The main suggestion for improvement was regarding accessibility (35.1%), although 45.5% stated that there was no need for improvement. The majority stated that DiaVision contributed with their knowledge about diabetes and the best functionality was the recording of blood glucose values. Age and degree of visual impairment interfered in the ease of use of the app, as well as in the app's recommendation rate. It is concluded that the application showed a high approval rate, including high rates of frequency of daily use and recommendation rates by users.

References

Ahmad, A. & Mozelius, P. (2019). Critical factors for human computer interaction of eHealth for older adults. ACM Digital Library, 58–62.

Alonso-Domínguez, R. et al. (2019). Effectiveness of A Multifactorial Intervention in Increasing Adherence to the Mediterranean Diet among Patients with Diabetes Mellitus Type 2: A Controlled and Randomized Study (EMID Study). Nutrients, 11(1), 162.

Bilong, Y. et al. (2019). Validation of Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening. Ophthalmic Surg Lasers Imaging Retina, 50, 18-22.

Birkhoff, S. D. & Smeltzer, S. C. (2017). Perceptions of Smartphone User-Centered Mobile Health Tracking Apps Across Various Chronic Illness Populations: An Integrative Review. J Nurs Scholarsh, 49(4), 371-8.

Bourne, R. R. A. et al. (2021a). Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study. Lancet Glob Health, 9(2), 144-60.

Bourne, R. R. A. et al. (2021b). Trends in prevalence of blindness and distance and near vision impairment over 30 years: An analysis for the Global Burden of Disease Study. Lancet Glob Health, 9(2), 130-43.

Chrvala, C. A., Sherr, D., & Lipman, R. D. (2016). Diabetes self-management education for adults with type 2 diabetes mellitus: A systematic review of the effect on glycemic control. Patient Education and Counseling, 99(6), 926-43.

Edemacu, K. et al. (2019). Privacy Provision in Collaborative Ehealth with Attribute-Based Encryption: Survey, Challenges and Future Directions. IEEE Access, 7, 89614-36.

Falcade, A. et al. (2016). Design Instrucional: um comparativo de metodologias para definição de abordagem em mundo virtual. Anais do Congresso Brasileiro de Informática na Educação, Uberlândia, MG, Brasil, 5.

Gerhardt, T. E. & Silveira, D. T. (2009). Métodos de pesquisa. Porto Alegre: Editora da UFRGS.

Hazari, H. et al. (2020). Validation of the visual acuity iPad app Eye Chart Pro compared to the standard Early Treatment Diabetic Retinopathy Study chart in a low-vision population. J Telemed Telecare, 0(0), 1-7.

International Diabetes Federation. (2019). IDF Diabetes Atlas: Projections of the prevalence of hyperglycaemia in pregnancy in 2019 and beyond: Results from the International Diabetes Federation Diabetes Atlas. International Diabetes Federation.

Jeffrey, B. et al. (2019). 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., 11(84), 1-17.

Julian, G. S. et al. (2020). Cost of macrovascular complications in people with diabetes from a public healthcare perspective: a retrospective database study in Brazil. Journal of Medical Economics, 23(9), 985-993.

Kao, C. & Liebovitz, D. M. (2017). Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. Clinical Informatics in Physiatry, 9(5), 106-15.

Kumar, S. et al. (2018). A Diabetes Mobile App With In-App Coaching From a Certified Diabetes Educator Reduces A1C for Individuals With Type 2 Diabetes. Diabetes Educ., 44(3), 226-36.

Lechner, J., O’leary, O. E., & Stitt, A. W. (2017). The pathology associated with diabetic retinopathy. Vision Research, 139, 7–14.

Leasher, J. L. et al. (2016). Global Estimates on the Number of People Blind or Visually Impaired by Diabetic Retinopathy: A Meta-analysis From 1990 to 2010. Diabetes Care, 39(9), 1643-9.

Polit, D. F. & Beck, C. T. (2018). Fundamentos de pesquisa em enfermagem: avaliação de evidências para a prática da enfermagem (9a ed.). Porto Alegre: Artmed.

Razalli, N. M. & Yap, B. (2011). Power Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling Tests. J. Stat. Model. Analytics, 2(1), 21-33.

Rezende, K. F. et al. (2015). Detecção de pé em risco de ulceração usando uma nova versão do software sisped em pacientes com diabetes tipo 2 em um ambiente de atenção primária. Diabetol Metab Syndr, 7, A256. doi: 10.1186/1758-5996-7-S1-A256

Sabanayagam, C. et al. (2019). Incidence and progression of diabetic retinopathy: a systematic review. The Lancet Diabetes and Endocrinology, 7(2), 140-9.

Sim, I. (2019). Mobile Devices and Health. N Engl J Med, 381, 956-68.

Sociedade Brasileira de Diabetes. (2015). Retinopatia diabética. Recuperado em 16 fevereiro, 2021, de https://www.diabetes.org.br/profissionais/images/pdf/diabetes-tipo-2/016-Diretrizes-SBD-Retinopatia-pg149.pdf

Whitehead, L. & Seaton, P. (2016). The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. J Med Internet Res, 18(5), e97. doi: 10.2196/jmir.4883.

Yu, Y. et al. (2019). Effects of mobile phone application combined with or without self-monitoring of blood glucose on glycemic control in patients with diabetes: A randomized controlled trial. J Diabetes Investig., 10(5):1365-71.

Published

07/02/2022

How to Cite

SOBRAL, D. A. S.; OLIVEIRA, A. A. de .; ANDRADE, J. S. de; SANTOS, J. K. de J. Assessment of the usability of a mobile application for self-care for patients with diabetes. Research, Society and Development, [S. l.], v. 11, n. 3, p. e1111326014, 2022. DOI: 10.33448/rsd-v11i3.26014. Disponível em: https://www.rsdjournal.org/index.php/rsd/article/view/26014. Acesso em: 19 apr. 2024.

Issue

Section

Health Sciences