Skip to content

Modeling Mood Course to Detect Markers of Effective Adaptive Interventions

Modeling Mood Course to Detect Markers of Effective Adaptive Interventions

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03358238
Enrollment
50
Registered
2017-11-30
Start date
2017-11-27
Completion date
2019-06-19
Last updated
2020-07-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bipolar Disorder

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.

Interventions

BEHAVIORALWeekly 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.

OTHERNo weekly review

An interviewer will not review self-report symptoms and patterns collected from an activity tracker.

Sponsors

University of Michigan
CollaboratorOTHER
National Institute of Mental Health (NIMH)
CollaboratorNIH
University of Wisconsin, Madison
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

* None

Design outcomes

Primary

MeasureTime frameDescription
Proportion of Participants Who Report They Are More Likely to Use a Smart-phone App Over an Activity Tracker to Monitor Their SymptomsStudy 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 QuestionsStudy 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 TrackingStudy 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 TrackingStudy 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

MeasureTime frameDescription
Average Change From Baseline in Severity of Manic Symptoms, as Measured With the Young Mania Rating ScaleBaseline, 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.
Average Change From Baseline in Severity of Depressive Symptoms, as Measured With the 17-item Structured Interview Guide for the Hamilton Rating Scale for DepressionBaseline, 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.

Countries

United States

Participant flow

Pre-assignment details

Two participants were enrolled and subsequently excluded before the start of the study. One of these individuals died between the consent date and the start of the study, and the other was lost to follow-up between the consent date and study start.

Participants by arm

ArmCount
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.
23
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.
25
Total48

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyWithdrawal by Subject01

Baseline characteristics

CharacteristicTotalWeekly ReviewNo Weekly Review
Age, Continuous41.7 years
STANDARD_DEVIATION 10.8
41.0 years
STANDARD_DEVIATION 10.6
42.4 years
STANDARD_DEVIATION 11.2
Diagnosis
Bipolar I
33 participants16 participants17 participants
Diagnosis
Bipolar II
12 participants6 participants6 participants
Diagnosis
Bipolar NOS
3 participants3 participants0 participants
Ethnicity (NIH/OMB)
Hispanic or Latino
7 Participants3 Participants4 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
41 Participants22 Participants19 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants0 Participants1 Participants
Race (NIH/OMB)
Asian
2 Participants1 Participants1 Participants
Race (NIH/OMB)
Black or African American
3 Participants2 Participants1 Participants
Race (NIH/OMB)
More than one race
1 Participants0 Participants1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
41 Participants22 Participants19 Participants
Region of Enrollment
United States
47 participants25 participants23 participants
Sex: Female, Male
Female
26 Participants14 Participants12 Participants
Sex: Female, Male
Male
22 Participants11 Participants11 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 230 / 24
other
Total, other adverse events
1 / 232 / 24
serious
Total, serious adverse events
0 / 231 / 24

Outcome results

Primary

Average Proportion of Study Days With At Least 12 Hours of Activity Tracking

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)

Time frame: Study end (6 weeks)

ArmMeasureValue (MEAN)
All ParticipantsAverage Proportion of Study Days With At Least 12 Hours of Activity Tracking0.7688 proportion of study days
No Review ArmAverage Proportion of Study Days With At Least 12 Hours of Activity Tracking0.7878 proportion of study days
Comparison: Null hypothesis was that the difference in average adherence rates to activity tracking between arms was zero.p-value: 0.8595% CI: [-0.2215, 0.1837]t-test, 2 sided
Primary

Average Proportion of Study Days With At Least 50% Completion of Daily Self-Reports Questions

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).

Time frame: Study end (6 weeks)

ArmMeasureValue (MEAN)
All ParticipantsAverage Proportion of Study Days With At Least 50% Completion of Daily Self-Reports Questions0.8185 proportion of study days
No Review ArmAverage Proportion of Study Days With At Least 50% Completion of Daily Self-Reports Questions0.8168 proportion of study days
Comparison: Null hypothesis was that the difference in average adherence rates of self-reporting between arms was zero.p-value: 0.9995% CI: [-0.1774, 0.1807]t-test, 2 sided
Primary

Proportion of Participants Who Have Higher Adherence Rates for Self-reporting Symptoms Than Adherence Rates for Activity Tracking

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.

Time frame: Study end (6 weeks)

Population: For an individual, adherence rate for self-report is proportion of days with at least 50% completion of self-report questions; adherence rate for activity tracking is proportion of days with at least 12 hours of activity tracking.~Participants with no difference in adherence rates between self-report and activity tracking were excluded.

ArmMeasureValue (NUMBER)
All ParticipantsProportion of Participants Who Have Higher Adherence Rates for Self-reporting Symptoms Than Adherence Rates for Activity Tracking0.6667 Proportion of participants
No Review ArmProportion of Participants Who Have Higher Adherence Rates for Self-reporting Symptoms Than Adherence Rates for Activity Tracking0.3889 Proportion of participants
Comparison: Estimating proportion of individuals with higher adherence rates for self-report over activity tracking among individuals with unequal adherence rates95% CI: [0.3718, 0.6991]
Comparison: Null hypothesis is that among individuals with unequal adherence rates, the proportion of individuals with greater adherence to self-report over activity tracking in the Review Arm is equal to the proportion of individuals with greater adherence to self-report over activity tracking in the No Review Arm.p-value: 0.0828Chi-squared
Primary

Proportion of Participants Who Report They Are More Likely to Use a Smart-phone App Over an Activity Tracker to Monitor Their Symptoms

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.

Time frame: Study end (6 weeks)

Population: The analysis population includes both arms (rather than reporting outcomes by arm). Goals of this study went beyond measuring arm effects. Here, the question of interest is across the sample, do individuals prefer self-reporting over using an activity tracker. It is not of interest to know if the intervention changes this preference.

ArmMeasureValue (NUMBER)
All ParticipantsProportion of Participants Who Report They Are More Likely to Use a Smart-phone App Over an Activity Tracker to Monitor Their Symptoms0.404 proportion of participants
95% CI: [0.264, 0.557]
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

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.

Time frame: Baseline, study end (6 weeks)

ArmMeasureValue (MEAN)
All ParticipantsAverage Change From Baseline in Severity of Depressive Symptoms, as Measured With the 17-item Structured Interview Guide for the Hamilton Rating Scale for Depression0.67 score on a scale
No Review ArmAverage Change From Baseline in Severity of Depressive Symptoms, as Measured With the 17-item Structured Interview Guide for the Hamilton Rating Scale for Depression1.13 score on a scale
Comparison: Null hypothesis was that average change in scores on the structured interview guide for the Hamilton rating scale for depression is zero.p-value: 0.3295% CI: [-0.91, 2.7]t-test, 2 sided
Secondary

Average Change From Baseline in Severity of Manic Symptoms, as Measured With the Young Mania Rating Scale

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.

Time frame: Baseline, study end (6 weeks)

ArmMeasureValue (MEAN)
All ParticipantsAverage Change From Baseline in Severity of Manic Symptoms, as Measured With the Young Mania Rating Scale0.67 score on a scale
No Review ArmAverage Change From Baseline in Severity of Manic Symptoms, as Measured With the Young Mania Rating Scale0.91 score on a scale
Comparison: One participant had a single item missing on the Young Mania Rating Scale administered at study start. A zero was imputed for the missing item to recover a total score.~Null hypothesis was that the average change in total scores was zero.p-value: 0.295% CI: [-0.42, 1.99]t-test, 2 sided

Source: ClinicalTrials.gov · Data processed: Mar 6, 2026