Modeling Mood Course to Detect Markers of Effective Adaptive Interventions

Not Applicable

Completed

Conditions: Bipolar Disorder

Interventions: Behavioral: Weekly review
Other: No weekly review

Registration Number: NCT03358238

Lead Sponsor: University of Wisconsin, Madison

Brief 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.

Detailed Description: Bipolar disorder is a chronic illness of profound shifts in mood ranging from mania to depression. Bipolar disorder is successfully treated by combining medication with psychosocial therapy, but care can prove inadequate in practice. With gaps in coverage and medication, along with imprecise guidelines on when, where, and how to intervene, promising psychosocial therapies require adaptive strategies to better address the specific needs of individuals in a timely manner. To accomplish this, however, requires evidence-based practices for adapting a psychosocial therapy. The long-term goal of this study is to address this knowledge gap, by establishing a mobile health platform for translating a psychosocial therapy in bipolar disorder into an effective adaptive intervention.

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.

Recruitment & Eligibility

Status: COMPLETED

Sex: All

Target Recruitment: 50

Inclusion Criteria

Individuals diagnosed with bipolar disorder
Individuals with a smart-phone

Exclusion Criteria

None

Study & Design

Study Type: INTERVENTIONAL

Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Weekly review	Weekly review	Individuals will review self-report and activity tracker data with an interviewer on a weekly basis over the phone.
No weekly review	No weekly review	Individuals will not review self-report and activity tracker data with an interviewer on a weekly basis over the phone.

Primary Outcome Measures

Name	Time	Method
Proportion of Participants Who Report They Are More Likely to Use a Smart-phone App Over an Activity Tracker to Monitor Their Symptoms	Study end (6 weeks)	Likelihood of using app over activity tracker is measured using a survey designed specifically for this study to evaluate participant engagement in monitoring symptoms. The relevant question asks 'Which are you more likely to use to monitor your symptoms' and has two mutually-exclusive options for an answer: 'An activity tracker' or 'A smart-phone app'. Engagement survey is conducted over the phone by an interviewer.
Average Proportion of Study Days With At Least 50% Completion of Daily Self-Reports Questions	Study end (6 weeks)	For each individual, adherence rate for self-reporting symptoms is measured/defined as the proportion of study days with at least 50% completion of of daily self-reports questions (i.e. 6 questions completed out of a total of 12). This measure is the average adherence rate for individuals in each of the two intervention arms: individuals who review their data with an interviewer ('Weekly review' arm) vs those who do not review their data with an interviewer ('No weekly review' arm).
Average Proportion of Study Days With At Least 12 Hours of Activity Tracking	Study end (6 weeks)	For each individual, adherence rate for activity tracking is measured as the proportion of study days with at least 12 hours of activity tracking. This measure is the average adherence rates among individuals in either arm: individuals who review their data weekly with an interviewer ('Weekly review' arm) compared to individuals who do not review their data weekly with an interviewer ('No weekly review' arm)
Proportion of Participants Who Have Higher Adherence Rates for Self-reporting Symptoms Than Adherence Rates for Activity Tracking	Study end (6 weeks)	For each individual, adherence rate for activity tracking is measured as the proportion of study days with at least 12 hours of activity tracking, whereas adherence rate for self-reporting symptoms is measured as the proportion of study days with at least 50% of daily self-reports survey questions completed.

Secondary Outcome Measures

Name	Time	Method
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	Baseline, study end (6 weeks)	The 17-Item Structured Interview Guide for the Hamilton Rating Scale for Depression consists of 17 clinician-rated items to evaluate symptoms of depression, such as guilt, fatigue, and depressed mood. Item scores are summed to get a total score, ranging from 0 to 52. Higher scores indicate more severe symptoms.
Average Change From Baseline in Severity of Manic Symptoms, as Measured With the Young Mania Rating Scale	Baseline, study end (6 weeks)	The Young Mania Rating Scale consists of clinician-rated 11 items to evaluate symptoms of mania, such as elevated mood, energy, and irritability. Item scores are added together to get a total score, ranging from 0 to 60. A higher score indicates more severe manic symptoms.