Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes. (July 2017)

• Record Type: Journal Article
• Authors: Wong, Jenise C.; Neinstein, Aaron B.; Look, Howard; Arbiter, Brandon; Chokr, Nora; Ross, Cassie; Adi, Saleh
• Is Part Of: Journal of diabetes science and technology. Volume 11:Number 4(2017:Jul.)
• Page Start: 800
• Page End: 807
• Publication Date: 2017-07
• Subjects: type 1 diabetes -- data visualization -- insulin pumps -- continuous glucose monitoring -- data platform -- device interoperability; Diabetes -- Periodicals; Medical technology -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462005
• DOI: 10.1177/1932296817691305
• Languages: English
• ISSNs: 1932-2968

Abstract

Background: A novel software application, Blip, was created to combine and display diabetes data from multiple devices in a uniform, user-friendly manner. The objective of this study was to test the usability of this application by adults and caregivers of children with type 1 diabetes (T1D). Methods: Patients (n = 35) and caregivers of children with T1D (n = 30) using an insulin pump for >1 year ± CGM were given access to the software for 3 months. Diabetes management practices and the use of diabetes data were assessed at baseline and at study end, and feedback was gathered in a concluding questionnaire. Results: At baseline, 97% of participants agreed it was important for patients to know how to interpret glucose data. Most felt that clinicians and patients should share the tasks of reviewing data, finding patterns, and making changes to their insulin plans. However, despite valuing shared responsibility, at baseline, 43% of participants never downloaded pump data, and only 9% did so at least once per month. At study end, 72% downloaded data at least once during the 3-month study, and 38% downloaded at least once per month. Regarding the software application, participants liked the central repository of data and the user interface. Suggestions included providing tools for understanding and interpreting glucose patterns, an easier uploading process, and access with mobile devices. Conclusions: Collaboration between developers and researchers prompted iterative, rapid development of data visualization software and improvements in the uploading process and user interface, which facilitates clinical integration and future clinical studies.