Episodic to Real-Time Care in Diabetes Self-Management
NCT03012074 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60
Last updated 2020-07-02
Summary
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.
Conditions
- Diabetes Mellitus, Type II
Interventions
- BEHAVIORAL
-
Type 2 Diabetes Self-Management
Patients with Type 2 Diabetes
Sponsors & Collaborators
- lead OTHER
Principal Investigators
-
Ryan J Shaw, PhD, RN · Duke University School of Nursing
Study Design
- Allocation
- NA
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2017-03-02
- Primary Completion
- 2018-05-01
- Completion
- 2020-05-30
Countries
- United States
Study Locations
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