Modeling Mood Course to Detect Markers of Effective Adaptive Interventions
NCT ID: NCT03358238
Last Updated: 2020-07-09
Study Results
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View full resultsBasic Information
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COMPLETED
NA
50 participants
INTERVENTIONAL
2017-11-27
2019-06-19
Brief Summary
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Detailed Description
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An important first step and the specific goal of this study is to answer the question of how to engage individuals with bipolar disorder in long-term monitoring of their daily patterns of mood, stress, sleep, circadian rhythm, and medical adherence. To answer this question, individuals with bipolar disorder will interact with a smart-phone application and activity tracker over six weeks. Individuals will record their symptoms twice-daily with the smart-phone application while activity, sleep, and heart rate are recorded with their activity tracker. In addition, individuals will be interviewed on a weekly basis. The study focuses on testing three engagement strategies: using activity trackers rather than self-reports; reviewing recorded symptoms with another person on a weekly basis; and synthesizing a person's data into charts and graphs.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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No weekly review
Individuals will not review self-report and activity tracker data with an interviewer on a weekly basis over the phone.
No weekly review
An interviewer will not review self-report symptoms and patterns collected from an activity tracker.
Weekly review
Individuals will review self-report and activity tracker data with an interviewer on a weekly basis over the phone.
Weekly review
Each week in the study, an interviewer will review manic and depressive symptoms self-reported by a participant and patterns of activity, sleep, and heart rate collected by the participant's activity tracker.
Interventions
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Weekly review
Each week in the study, an interviewer will review manic and depressive symptoms self-reported by a participant and patterns of activity, sleep, and heart rate collected by the participant's activity tracker.
No weekly review
An interviewer will not review self-report symptoms and patterns collected from an activity tracker.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Individuals with a smart-phone
Exclusion Criteria
18 Years
ALL
No
Sponsors
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University of Michigan
OTHER
National Institute of Mental Health (NIMH)
NIH
University of Wisconsin, Madison
OTHER
Responsible Party
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Principal Investigators
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Amy L Cochran, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Wisconsin, Madison
Locations
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University of Michigan
Ann Arbor, Michigan, United States
University of Wisconsin
Madison, Wisconsin, United States
Countries
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References
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Van Til K, McInnis MG, Cochran A. A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder. Bipolar Disord. 2020 Mar;22(2):182-190. doi: 10.1111/bdi.12849. Epub 2019 Oct 25.
Cochran A, Belman-Wells L, McInnis M. Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2018 May 10;7(5):e130. doi: 10.2196/resprot.9899.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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