Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes

Author:

Wong Jenise C.1,Neinstein Aaron B.2,Look Howard3,Arbiter Brandon3,Chokr Nora1,Ross Cassie1,Adi Saleh1

Affiliation:

1. Division of Endocrinology, Department of Pediatrics, Madison Clinic for Pediatric Diabetes, University of California, San Francisco, San Francisco, CA, USA

2. Division of Endocrinology and Metabolism, Department of Medicine, Center for Digital Health Innovation, University of California, San Francisco, San Francisco, CA, USA

3. Tidepool, San Francisco, CA, USA

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.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

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