Trial Outcomes & Findings for Mobile Self-Tracking of Mental Health (NCT NCT05023252)
NCT ID: NCT05023252
Last Updated: 2025-11-19
Results Overview
Feasibility of passive self-tracking of mental health. The number of participants who completed the study.
COMPLETED
NA
87 participants
9 months
2025-11-19
Participant Flow
Recruitment was conducted at the Greater Los Angeles VA 10/18/2021 - 6/24/2024.
Enrolled participants are provided with mobile monitoring. Mobile monitoring is the only group in this study.
Participant milestones
| Measure |
mobile application
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data.
|
|---|---|
|
Overall Study
STARTED
|
87
|
|
Overall Study
COMPLETED
|
58
|
|
Overall Study
NOT COMPLETED
|
29
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Mobile Self-Tracking of Mental Health
Baseline characteristics by cohort
| Measure |
Mobile Application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data.
|
|---|---|
|
Age, Continuous
|
53.7 years
STANDARD_DEVIATION 13.6
|
|
Sex: Female, Male
Female
|
16 Participants
|
|
Sex: Female, Male
Male
|
71 Participants
|
|
Ethnicity (NIH/OMB)
Hispanic or Latino
|
22 Participants
|
|
Ethnicity (NIH/OMB)
Not Hispanic or Latino
|
64 Participants
|
|
Ethnicity (NIH/OMB)
Unknown or Not Reported
|
1 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
2 Participants
|
|
Race (NIH/OMB)
Asian
|
7 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
1 Participants
|
|
Race (NIH/OMB)
Black or African American
|
38 Participants
|
|
Race (NIH/OMB)
White
|
29 Participants
|
|
Race (NIH/OMB)
More than one race
|
3 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
7 Participants
|
PRIMARY outcome
Timeframe: 9 monthsFeasibility of passive self-tracking of mental health. The number of participants who completed the study.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Feasibility of Passive Self-tracking of Mental Health
|
58 Participants
|
PRIMARY outcome
Timeframe: 9 monthsUse mobile sensor and phone utilization data to develop individualized estimates of sociability. There was an effort to calculate an estimate of sociability for each participant. Some participants had insufficient data collected to calculate an estimate. The intent is to determine the number of participants for whom this outcome can be estimated. The investigators report here on the number of participants for whom an estimate of sociability could be successfully calculated.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Estimates of Sociability
|
73 Participants
|
PRIMARY outcome
Timeframe: 9 monthsStudy the predictive value of using data on sociability, activities, and sleep to identify exacerbations of psychiatric symptoms. There was an effort to calculate identify exacerbations of psychiatric symptoms for each participant. Some participants had insufficient data collected to identify exacerbations. The intent is to determine the number of participants for whom this outcome can be estimated. The investigators report here on the number of participants for whom exacerbations of psychiatric symptoms could be successfully calculated.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Identify Exacerbations of Psychiatric Symptoms
|
85 Participants
|
PRIMARY outcome
Timeframe: 9 monthsAcceptability of passive self-tracking of mental health. The number of participants who completed the study.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Acceptability of Passive Self-tracking of Mental Health
|
58 Participants
|
PRIMARY outcome
Timeframe: 9 monthsSafety of passive self-tracking of mental health. The number of participants with a serious adverse event.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Safety of Passive Self-tracking of Mental Health
|
0 Participants
|
PRIMARY outcome
Timeframe: 9 monthsUse mobile sensor and phone utilization data to develop individualized estimates of activities. There was an effort to calculate an estimate of activity for each participant. Some participants had insufficient data collected to calculate an estimate. The intent is to determine the number of participants for whom this outcome can be estimated. The investigators report on the number of participants for whom an estimate of activity could be successfully calculated.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Estimates of Activities
|
85 Participants
|
PRIMARY outcome
Timeframe: 9 monthsUse mobile sensor and phone utilization data to develop individualized estimates of sleep. There was an effort to calculate an estimate of sleep for each participant. Some participants had insufficient data collected to calculate an estimate. The intent is to determine the number of participants for whom this outcome can be estimated. The investigators report here on the number of participants for whom an estimate of sleep could be successfully calculated.
Outcome measures
| Measure |
mobile application
n=87 Participants
Participants use a mobile application on their smartphone that monitors and transmits mobile sensor and utilization data
|
|---|---|
|
Estimates of Sleep
|
85 Participants
|
Adverse Events
mobile application
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Alexander Young MD
Veterans Health Administration, Greater Los Angeles Veterans Healthcare Center
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place