Self-monitoring diabetes with multiple mobile health devices.

Journal Article (Journal Article)

OBJECTIVE: The purpose of this study was to examine the use of multiple mobile health technologies to generate and transmit data from diverse patients with type 2 diabetes mellitus (T2DM) in between clinic visits. We examined the data to identify patterns that describe characteristics of patients for clinical insights. METHODS: We enrolled 60 adults with T2DM from a US healthcare system to participate in a 6-month longitudinal feasibility trial. Patient weight, physical activity, and blood glucose were self-monitored via devices provided at baseline. Patients also responded to biweekly medication adherence text message surveys. Data were aggregated in near real-time. Measures of feasibility assessing total engagement in device submissions and survey completion over the 6 months of observation were calculated. RESULTS: It was feasible for participants from different socioeconomic, educational, and racial backgrounds to use and track relevant diabetes-related data from multiple mobile health devices for at least 6 months. Both the transmission and engagement of the data revealed notable patterns and varied by patient characteristics. DISCUSSION: Using multiple mobile health tools allowed us to derive clinical insights from diverse patients with diabetes. The ubiquitous adoption of smartphones across racial, educational, and socioeconomic populations and the integration of data from mobile health devices into electronic health records present an opportunity to develop new models of care delivery for patients with T2DM that may promote equity as well.

Full Text

Duke Authors

Cited Authors

  • Shaw, RJ; Yang, Q; Barnes, A; Hatch, D; Crowley, MJ; Vorderstrasse, A; Vaughn, J; Diane, A; Lewinski, AA; Jiang, M; Stevenson, J; Steinberg, D

Published Date

  • May 1, 2020

Published In

Volume / Issue

  • 27 / 5

Start / End Page

  • 667 - 676

PubMed ID

  • 32134447

Pubmed Central ID

  • PMC7309229

Electronic International Standard Serial Number (EISSN)

  • 1527-974X

Digital Object Identifier (DOI)

  • 10.1093/jamia/ocaa007

Language

  • eng

Conference Location

  • England