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.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

87 participants

Primary outcome timeframe

9 months

Results posted on

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

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

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 months

Feasibility of passive self-tracking of mental health. The number of participants who completed the study.

Outcome measures

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 months

Use 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

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 months

Study 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

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 months

Acceptability of passive self-tracking of mental health. The number of participants who completed the study.

Outcome measures

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 months

Safety of passive self-tracking of mental health. The number of participants with a serious adverse event.

Outcome measures

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 months

Use 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

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 months

Use 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

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 events: 0 serious events
Other events: 0 other events
Deaths: 1 deaths

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

Phone: 310-478-3711

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place