Study Results
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View full resultsBasic Information
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COMPLETED
NA
87 participants
INTERVENTIONAL
2021-10-18
2024-07-22
Brief Summary
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Detailed Description
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Significance/Impact: For the large population of Veterans with serious mental illness, tools are needed that passively monitor their mental health status, allowing them to self-track their behaviors, quickly detect worsening of mental health, and support prompt assessment and intervention. At least 60% of Veterans with serious mental illness use a smart phone. These generate data that characterize sociability, activity, and sleep. Changes in these behaviors are warning signs of relapse. Passive self-tracking could be used to identify and predict worsening of illness in real time.
Innovation: Passive mobile sensing is a novel approach to illness self-tracking and monitoring. There has been relatively little research on passive self-tracking in serious mental illness, with limited analytics development in this area, and none in VA.
Specific Aims: This project studies passive mobile sensing with Veterans in treatment for serious mental illness. Data are used for self-tracking of behaviors and symptoms. While passive mobile sensing has been feasible, acceptable and safe in patients with serious mental illness, these are studied for the first time in VA. Analytics are developed that use passive data to predict behaviors and symptoms. This project responds to the HSR\&D priority areas of Mental Health and Healthcare Informatics. The project has these objectives:
1. Conduct user-centered design of passive mobile self-tracking to support Veterans' management of their mental health.
2. Study the feasibility, acceptability and safety of passive self-tracking of mental health that includes feedback of mental health status to the Veteran.
3. Use mobile sensor and phone utilization data to develop individualized estimates of sociability, activities, and sleep as measured by weekly interviews.
4. Study the predictive value of using data on sociability, activities, and sleep to identify exacerbations of psychiatric symptoms.
Methodology: Activities can be assessed with data on movement, location, and habits. Sociability can be assessed with data on communication and public interactions. Sleep can be assessed using data on light, sound, movement, and phone use. Investigators on this project developed a functional mobile app that monitors and transmits mobile sensor and utilization data. Focus groups and in-lab usability testing inform further app and intervention development. Mixed methods research study deployment in Veterans who passively self-track their behaviors and psychiatric symptoms. If this project meets intended goals, the VA will have a mobile analytics platform that continuously monitors behaviors and symptoms of patients with serious mental illness.
Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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mobile application
Participants use a mobile application on their smartphone
mobile application
VetThrive is a mobile smartphone application that monitors and transmits mobile sensor and utilization data. This app is deployed in Veteran patients who passively self-track their behaviors and psychiatric symptoms.
Interventions
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mobile application
VetThrive is a mobile smartphone application that monitors and transmits mobile sensor and utilization data. This app is deployed in Veteran patients who passively self-track their behaviors and psychiatric symptoms.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Risk for symptoms based on having had, during the past year, psychiatric hospitalization, psychiatric emergency care, lived at a crisis program, or more than 6 outpatient visits; and,
* Ownership of a smartphone with a data plan
Exclusion Criteria
* Has a conservator/legally authorized representative
18 Years
ALL
No
Sponsors
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VA Office of Research and Development
FED
Responsible Party
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Principal Investigators
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Alexander Stehle Young, MD MSHS
Role: PRINCIPAL_INVESTIGATOR
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Locations
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VA Greater Los Angeles Healthcare System, West Los Angeles, CA
West Los Angeles, California, United States
Countries
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References
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Young AS, Choi A, Cannedy S, Hoffmann L, Levine L, Liang LJ, Medich M, Oberman R, Olmos-Ochoa TT. Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study. JMIR Res Protoc. 2022 Aug 5;11(8):e39010. doi: 10.2196/39010.
Medich M, Cannedy SL, Hoffmann LC, Chinchilla MY, Pila JM, Chassman SA, Calderon RA, Young AS. Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach. JMIR Hum Factors. 2023 Oct 24;10:e46909. doi: 10.2196/46909.
Lin Z, Weinberger E, Nori-Sarma A, Chinchilla M, Wellenius GA, Jay J. Daily heat and mortality among people experiencing homelessness in 2 urban US counties, 2015-2022. Am J Epidemiol. 2024 Nov 4;193(11):1576-1582. doi: 10.1093/aje/kwae084.
Chinchilla M, Lulla A, Agans D, Chassman S, Gabrielian SE, Young AS. Pathways to social integration among homeless-experienced adults with serious mental illness: a qualitative perspective. BMC Health Serv Res. 2024 Oct 4;24(1):1180. doi: 10.1186/s12913-024-11678-6.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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IIR 19-392
Identifier Type: -
Identifier Source: org_study_id
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