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Exposure to Closed Loop Barriers Using Virtual Reality.

Citation
Lanning, M., et al. “Exposure To Closed Loop Barriers Using Virtual Reality.”. Journal Of Diabetes Science And Technology, pp. 837-843.
Center Stanford University
Author Monica Lanning, Jessica Shen, Daniel Wasser, Scott Riddle, Bianca Agustin, Korey Hood, Diana Naranjo
Keywords closed loop insulin delivery system, Technology, type 1 diabetes, virtual reality
Abstract

BACKGROUND: Closed loop (CL) automated insulin delivery systems are demonstrated to be safe and effective in regulating glucose levels and reducing cognitive burden in people with type 1 diabetes (T1D). However, given the limited market options and the do-it-yourself nature of most systems, it can be difficult for potential users to shape their expectations fitting them into daily lives and management routines. As such, we examined the potential feasibility of a virtual reality (VR) intervention.

METHODS: A four-part VR intervention was created to expose adults with T1D to expected CL system barriers: body image, perceived hassles of using CL, deskilling fears, and unwanted social attention. Goals of the pilot were to assess feasibility and expose patients to CL. Surveys were conducted pre- and postparticipating in the VR experience.

RESULTS: A total of 20 adults with T1D completed the pilot. Average time to complete the experience was 14.1 minutes (8.8-39.9). Reported VR sickness was low. Willingness to use VR was maintained in 90% ( = 18) and did not change expectations of CL in 95% ( = 19). Virtual reality changed perceived hassles of CL in 25% ( = 5) with four concerned over alarms and one connectivity issues: positive diabetes technology attitudes, confidence in managing hypoglycemia, overall perceptions of appearance, and positive affect maintained after the VR intervention. Negative affect significantly decreased after exposure and perceptions of being overweight trended toward significance.

CONCLUSION: This pilot VR intervention demonstrated high potential in addressing expected barriers to uptake and usage of CL systems without decreasing enthusiasm or changing expectations of CL.

Year of Publication
2020
Journal
Journal of diabetes science and technology
Volume
14
Issue
5
Number of Pages
837-843
Date Published
09/2020
ISSN Number
1932-2968
DOI
10.1177/1932296820902771
Alternate Journal
J Diabetes Sci Technol
PMID
32019329
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