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N/A N=48 Randomized Health Services Research

Modeling Mood Course to Detect Markers of Effective Adaptive Interventions

Bipolar Disorder

Enrolled (actual)
48
Serious AEs
2.1%
Results posted
Jul 2020
Primary outcome: Primary: Proportion of Participants Who Report They Are More Likely to Use a Smart-phone App Over an Activity Tracker to Monitor Their Symptoms — 0.404 proportion of participants

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
Weekly review (Behavioral); No weekly review (Other)
Age
Adult, Older Adult · 18+ yrs
Sex
All
Sponsor
University of Wisconsin, Madison
Primary completion
Jun 2019

Outcome Measures

OutcomeResultp-value
PRIMARY
Proportion of Participants Who Report They Are More Likely to Use a Smart-phone App Over an Activity Tracker to Monitor Their Symptoms
0.404
PRIMARY
Average Proportion of Study Days With At Least 50% Completion of Daily Self-Reports Questions
0.8185; 0.8168 0.99
PRIMARY
Average Proportion of Study Days With At Least 12 Hours of Activity Tracking
0.7688; 0.7878 0.85
PRIMARY
Proportion of Participants Who Have Higher Adherence Rates for Self-reporting Symptoms Than Adherence Rates for Activity Tracking
0.6667; 0.3889 0.0828
SECONDARY
Average Change From Baseline in Severity of Manic Symptoms, as Measured With the Young Mania Rating Scale
0.67; 0.91 0.20
SECONDARY
Average Change From Baseline in Severity of Depressive Symptoms, as Measured With the 17-item Structured Interview Guide for the Hamilton Rating Scale for Depression
0.67; 1.13 0.32

Summary

The goal of this study is to learn how to engage individuals with bipolar disorder in long-term monitoring of daily patterns of mood, stress, sleep, circadian rhythm, and medical adherence. Knowledge gained will be used to develop a mobile health platform for the translation of a psychosocial intervention for bipolar disorder into an effective adaptive intervention.

Eligibility Criteria

Inclusion Criteria

  • Individuals diagnosed with bipolar disorder
  • Individuals with a smart-phone

Exclusion Criteria

  • None
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT03358238). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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