CloudConnect: Predictive And Retrospective Clinical Decision Support For Chronic Disease Management
NCT03676465 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 132
Last updated 2023-12-19
Summary
This study is to assess an approach of self-management called CloudConnect, evaluating the impact of CloudConnect Reports on patient engagement, adolescent/parent discussion, and clinical outcomes in adolescent Type 1 Diabetes (T1D).
Conditions
- Type 1 Diabetes Mellitus
Interventions
- OTHER
-
CloudConnect Report
Subjects and their parents will be asked to download the data from the study devices as well as download their insulin pump/pen. The participants will receive a weekly CloudConnect Report that is based on analysis of the data gathered from the downloads provided by the subject during that week. Participants will both receive weekly contact from the study team to discuss the communication that the subject \& their parent had during the week about the participant's diabetes management.
- OTHER
-
Will not receive a CloudConnect Report
Subjects and their parents will be asked to download the data from the study devices as well as download their insulin pump/pen. Participants will receive weekly contact from the study team to discuss the communication that the subject \& their parent had during the week about the participant's diabetes management.
Sponsors & Collaborators
-
National Library of Medicine (NLM)
collaborator NIH -
University of Virginia
lead OTHER
Principal Investigators
-
Mark D DeBoer, MD · University of Virginia
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 12 Years
- Max Age
- 17 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-01-18
- Primary Completion
- 2021-02-02
- Completion
- 2021-02-02
Countries
- United States
Study Locations
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