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Dataset Information

Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors.


ABSTRACT:

Background

Type 1 diabetes (T1D) care requires multiple daily self-management behaviors (SMBs). Preliminary studies on SMBs rely mainly on self-reported survey and interview data. There is little information on adult T1D SMBs, along with corresponding compensation techniques (CTs), gathered in real-time.

Objective

The article aims to use a patient-centered approach to design iDECIDE, a smartphone application that gathers daily diabetes SMBs and CTs related to meal and alcohol intake and exercise in real-time, and contrast patients' actual behaviors against those self-reported with the app.

Methods

Two usability studies were used to improve iDECIDE's functionality. These were followed by a 30-day pilot test of the redesigned app. A survey designed to capture diabetes S

SUBMITTER: Groat D 

PROVIDER: S-EPMC6010355 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature