Abstract
Diabetes is a complex, evolving chronic disease, with an evolving need for self-management as the disease progresses. Through patient interviews and a focus group, we explored the changing need for technological support for diabetes self-management over the course of the disease, with a particular focus on insulin users. We propose a design for supportive technology aimed at the stabilization and progression stages of diabetes, which focuses on the creation of an individualized database of how new experiences with food, physical activities and travel affect one’s glucose levels. Our design supports feedback and improvement for future similar experiences, while avoiding the burden of intensive tracking. We propose a mechanism to suggest insulin doses adapted to the user, and sharing data with peers according to individual privacy wishes. Future research could allow this innovative approach to benefit non-insulin users.
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(ADA), A.D.A. Diabetes statistics (2012), http://www.diabetes.org/diabetes-basics/diabetes-statistics/
Chomutare, T., Fernandez-Luque, L., Arsand, E., et al.: Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J. Med. Internet. Res. 13(3), e65 (2011)
Corbin, J.M., Strauss, A.: A nursing model for chronic illness management based upon the Trajectory Framework. Sch. Inq. Nurs. Pract. 5(3), 155–174 (1991)
Farmer, A., Wade, A., Goyder, E., et al.: Impact of self monitoring of blood glucose in the management of patients with non-insulin treated diabetes: open parallel group randomised trial. BMJ 335(7611), 132 (2007)
Funnell, M.: The Diabetes Attitudes, Wishes and Needs (DAWN) Study. Clinical Diabetes 24(4), 154–155 (2006)
Holden, R.J., Karsh, B.T.: The technology acceptance model: its past and its future in health care. J. Biomed. Inform. 43(1), 159–172 (2010)
Ko, S.H., Park, S.A., Cho, J.H., et al.: Influence of the duration of diabetes on the outcome of a diabetes self-management education program. Diabetes Metab. J. 36(3), 222–229 (2012)
Liang, X., Wang, Q., Yang, X., et al.: Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet. Med. 28(4), 455–463 (2011)
Nathan, D.M., Turgeon, H., Regan, S.: Relationship between glycated haemoglobin levels and mean glucose levels over time. Diabetologia 50(11), 2239–2244 (2007)
Quinn, C.C., Shardell, M.D., Terrin, M.L., et al.: Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes care 34(9), 1934–1942 (2011)
Strauss, A.L.: Chronic illness and the quality of life. St. Louis, Mosby (1984)
Suthoff, B.: First Impressions Matter! 26% of Apps Downloaded in 2010 Were Used Just Once. Localytics (2011), http://www.localytics.com/blog/2011/first-impressions-matter-26-percent-of-apps-downloaded-used-just-once/
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Blondon, K.S., Klasnja, P. (2013). Designing Supportive Mobile Technology for Stable Diabetes. In: Marcus, A. (eds) Design, User Experience, and Usability. Health, Learning, Playing, Cultural, and Cross-Cultural User Experience. DUXU 2013. Lecture Notes in Computer Science, vol 8013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39241-2_40
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DOI: https://doi.org/10.1007/978-3-642-39241-2_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39240-5
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