mHealth Estimate-based Algorithms Signaling Upcoming Recurrence of Episodes in Bipolar Disorders
MEASURE-BD
1 other identifier
observational
200
1 country
1
Brief Summary
Veterans with bipolar disorders (BD) experience recurrent and seemingly unpredictable periods of severe impairments in psychosocial functioning, such as participation in social roles and activities. Many effective treatments for BD emphasize early detection of bipolar episodes, in order to make necessary treatment adjustments and prevent psychosocial impairments associated with acute mood episodes. Unfortunately, acute mood episodes in BD are also associated with a decrease in a patient's insight into their own symptoms, which can prevent one's ability to self-report first signs of symptoms and functional declines. Moreover, routine care visits for BD are typically too infrequent to capture and effectively monitor day-to-day changes in a patient's mood and functioning. Objective, low-effort, and continuous methods of tracking symptoms and social participation of Veterans with BD in real-time and in-situ are needed to provide early (i.e., days in advance) warning signs of acute bipolar episodes and functional declines, which in turn would enable well-timed interventions to prevent poor psychosocial outcomes. mHealth refers to the use of mobile and wireless devices as part of patient care and offers many potential opportunities for early detection of and intervention for acute mood states in this population. However, these mHealth approaches have not been investigated in Veterans with BD. In a Small Projects in Rehabilitation Research (SPiRE)-funded pilot study, the investigator team established high feasibility and acceptability of one such innovative passive mHealth approach using a smartphone program, or an app, in a small sample of Veterans with BD to track their smartphone's GPS/location. The pilot study used a priori location context ratings of visited places (e.g., a priori ratings on types of activities usually engaged in at a frequently visited location) to derive unobtrusive measures of social participation (e.g., time spent at work-related locations). The goal of this Merit Review proposal is to establish reliable and valid machine-learning algorithms using the same types of mHealth data to prospectively (days in advance) detect declines in social participation and prospective onset of mania and depression in Veterans with BD. This proposal has three aims: Aim 1. To establish a machine learning algorithm using GPS/location data for predicting prospective declines in social participation in Veterans with BD. Aim 2. To establish machine learning algorithms using GPS/location data for predicting prospective acute BD clinical states. The investigators will explore whether adding more burdensome daily self-report and voice diaries' speech analysis features improves the models' precision using statistical indices of prediction precision or accuracy. Aim 3. To explore clinical implementation of the mHealth-based algorithms in treatment of BD. Focus groups of VA providers and administrators will assess feasibility of algorithms' implementation in clinical care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2024
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 18, 2023
CompletedFirst Posted
Study publicly available on registry
January 12, 2024
CompletedStudy Start
First participant enrolled
September 10, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 30, 2027
April 24, 2026
April 1, 2026
3.1 years
December 18, 2023
April 21, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Impaired Social Participation
To determine presence of impaired social participation, an average of T scores will be calculated from two scales: PROMIS Satisfaction with Participation in Social Roles and PROMIS Ability to Participate in Social Roles and Activities scales. Averaged T scores less than 40 (1 standard deviation below population mean of 50) will be considered as indicators of impaired social participation. The PROMIS scales will be administered biweekly for the duration of 14 weeks of the follow-up.
Biweekly for 14 weeks
Modified Hamilton Rating Scale for Depression
Modified Hamilton Rating Scale for Depression interviews administered biweekly will assess depression symptoms for each week of the 14-week follow-up to assess presence of clinically significant depression (score of 14 or higher) and/or changes in depression severity.
Weekly for 14 weeks
Young Mania Rating Scale
Young Mania Rating Scale interviews administered biweekly will assess manic/hypomanic symptoms for each week of the 14-week follow-up period to determine presence of clinically significant hypomania/mania (scores above 12) and changes in hypomania/mania symptom severity.
Weekly for 14 weeks
PROMIS Ability to Participate in Social Roles and Activities
PROMIS Ability to Participate in Social Roles and Activities is a self-report measure of difficulties with social participation. The raw scores range from 8 to 40 with higher scores indicating greater difficulties with social participation. The raw scores will be transformed into T scores and then average with T score for PROMIS Satisfaction with Participation in Social Roles for each week of the follow-up. These average scores of T score less than 40 will be considered as indicators of impaired social participation during this week.
Biweekly for 14 weeks
Secondary Outcomes (1)
DSI Suicidality Subscale
Biweekly for 14 weeks
Other Outcomes (2)
VA Clinicians Focus Group Themes
Once at a half-point of study's data collection (end of Year 2)
VA Administrators Focus Group Themes
Once at the end of study's data collection (Year 4)
Study Arms (2)
Veterans with Bipolar Disorders
Veterans with a diagnosis of a bipolar disorder.
VA clinicians and administrators
VA clinicians and administrators who provide or oversee clinical care of Veterans with bipolar disorders
Eligibility Criteria
Veterans with bipolar disorders who receive care at the Minneapolis VA Health Care System. VA providers and administrators who provide care to Veterans with bipolar disorders at the Minneapolis VA Health Care System.
You may qualify if:
- Veteran participants will have a confirmed primary diagnosis of a Bipolar I Disorder, Bipolar II Disorder or Other Specified Bipolar Disorder (i.e., those with major depressive episodes and hypomania that meets all episode criteria but for duration) based on the clinical Interview for DSM-5-Research Version (SCID-5-RV), medical chart review and consensus procedure directed by the PI
- All Veteran participants will endorse presence of at least one bipolar episode in the last 12 months based on the interview and/or medical chart information
- All Veteran participants will own a smartphone capable of running all study apps
- All participants will be age 18 years or older
- All participants will be fluent in English
- All Veteran participants will be able to demonstrate capacity for consent (see below) and have no active court-appointed legal guardianship precluding ability to provide consent
- Focus group participants will be active Minneapolis VAHCS providers and administrators who are either actively engaged in care for Veterans with BD or involved in administrative roles overseeing mental health care of Veterans within Minneapolis VAHCS
You may not qualify if:
- Presence of a major neurocognitive disorder or neurological disorder, such as Alzheimer's dementia, vascular dementia, Parkinson's disease, etc.
- Impaired global cognition (MoCA score \< 20 for in-person assessment, or equivalent score on "blind" MoCA for virtual assessments)
- Presence of physical conditions preventing use of smartphone apps Lack of capacity to provide informed consent
- Age \< 18 years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- VA Office of Research and Developmentlead
- National Center for PTSDcollaborator
- University of Wisconsin, Madisoncollaborator
Study Sites (1)
Minneapolis VA Health Care System, Minneapolis, MN
Minneapolis, Minnesota, 55417-2309, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Snezana Urosevic, PhD
Minneapolis VA Health Care System, Minneapolis, MN
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- FED
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 18, 2023
First Posted
January 12, 2024
Study Start
September 10, 2024
Primary Completion (Estimated)
September 30, 2027
Study Completion (Estimated)
September 30, 2027
Last Updated
April 24, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Time Frame
- Some supporting information, such as statistical analysis plan, may be shared prior to publication of results in online pre-registration open science websites. IPD and supporting information will be shared from the time of study results publication until 7 years after the publication for valid scientific reasons.
- Access Criteria
- PI will share the IPD and supporting information in consultation with local Research office administrators for valid scientific purposes (e.g., validation of results, inclusion in mega-analysis or meta-analysis). PI will utilize VA approved methods at the time for online sharing of this type of information.
PI will store all study research records and data for a minimum of 6 fiscal years post study closure as required by VA data retention policies. De-identified data will be stored for at least 7 years after publication of the project's findings and will be made available for data sharing when requests for sharing are made for scientific purposes (e.g., results validation purposes). When possible, written agreements will be used specifying conditions of data sharing.