Episodic to Real-Time Care in Diabetes Self-Management

Completed · Not applicable

Conditions studied: Diabetes Mellitus, Type II

In brief

This study will use mobile health technologies to provide everyday data to help patients and their care providers better understand illness dynamics and develop adaptive approaches to improve health outcomes in diabetes. Specifically, the study will identify strategies to help patients adapt using multiple types of self-generated diabetes-related data and help providers guide patients to better self-manage in real-time, when guidance is needed most.

Key facts

Study ID

NCT03012074

Run by

Duke University

People needed

60

Starts

2017-03-02

Expected to finish

2020-05-30

Last updated by the study team

2020-07-02

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• ≥18 years old
• able to speak and read English
• diagnosed with type 2 diabetes mellitus
• told by their primary care provider to monitor their blood sugar daily
• owning and using a smart phone
• capable of giving informed consent
• with no pre-existing severe medical condition(s) that would interfere with study participation (e.g., renal failure, severe orthopedic conditions or joint replacement scheduled within 6 months, paralysis, or cancer)

You may not qualify if…

• active dementia or psychiatric illness
• reside in a nursing home
• participating in another self-management study

Where it is running

• Duke University School of Nursing — Durham, North Carolina, United States

Full record on ClinicalTrials.gov

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