Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
2134 participants
INTERVENTIONAL
2018-04-01
2019-07-01
Brief Summary
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Detailed Description
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The primary aim of the study is to evaluate how notifications affect participants' weekly mood, as measured through a daily one question mood survey. The second primary aim of the study is to evaluate how notifications affect participants' long-term mental health, as measured by the Patient Health Questionnaire. The first secondary aim is to evaluate how mood notifications affect participants' weekly mood. The second secondary aim is to evaluate how activity notifications affect participants' weekly step count. The third secondary aim is to evaluate how sleep notifications affect participants' weekly sleep duration. In order to better optimize notification delivery, the final aim (exploratory) is to understand moderators of these effects. Moderators of interest are previous week's mood, previous week's step count, previous week's sleep duration, study week, sex, previous history of depression, and baseline neuroticism.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
For the 'receive notifications' group, each participant-week is randomized between 4 different interventions (mood notifications, activity notifications, sleep notifications or no notifications). If the participant-week is randomized to a mood notification, activity notification, or sleep notification week, the participant will receive notifications of that category during that week.
For mood notification, activity notification, and sleep notification weeks, each participant-day is also randomized between: send notification that day or do not send notification that day.
TREATMENT
NONE
Study Groups
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Within-participant Micro-randomization
Each week in the study, with probability .25 for each, a participant is randomized to receive either a week of mood notifications, activity notifications, sleep notifications, or no notifications.
If the participant is assigned to receive mood, activity, or sleep notifications on a given week, then, for every day of that week the participant is randomized to: send notification on that day (with probability .5), or to not send a notification on that day (with probability .5).
Intern Health Study behavioral change mobile notification
The study's mobile app will be used to deliver intervention notifications. The intervention notifications appear on the participant's phone lock screen. The notifications have 3 categories: mood notifications, activity notifications, sleep notifications. Mood notifications aim to increase the participant's mood. Activity notifications aim to increase the participant's physical activity. Sleep notifications aim to increase the participant's sleep duration. To increase the category of interest, the notifications use two types of messages: life insights and tips. Life insights provide participants information on their historical data (for a given category) in order to help them self-monitor. Tips are non-data based notifications which provide general advice for improving the category of interest.
Intern Health Study mobile app
The Intern Health Study mobile app is able to conduct a daily mood survey. It also aggregates and visualizes historical data on intern mood, activity, and sleep.
No intervention
Participants in this arm will not receive any notifications for the entire duration of the trial. Primary and secondary outcomes will still be collected on participants in arm 2 through the study app and Fitbit.
Intern Health Study mobile app
The Intern Health Study mobile app is able to conduct a daily mood survey. It also aggregates and visualizes historical data on intern mood, activity, and sleep.
Interventions
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Intern Health Study behavioral change mobile notification
The study's mobile app will be used to deliver intervention notifications. The intervention notifications appear on the participant's phone lock screen. The notifications have 3 categories: mood notifications, activity notifications, sleep notifications. Mood notifications aim to increase the participant's mood. Activity notifications aim to increase the participant's physical activity. Sleep notifications aim to increase the participant's sleep duration. To increase the category of interest, the notifications use two types of messages: life insights and tips. Life insights provide participants information on their historical data (for a given category) in order to help them self-monitor. Tips are non-data based notifications which provide general advice for improving the category of interest.
Intern Health Study mobile app
The Intern Health Study mobile app is able to conduct a daily mood survey. It also aggregates and visualizes historical data on intern mood, activity, and sleep.
Eligibility Criteria
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Inclusion Criteria
* iPhone user
* Affiliated with one of 47 recruitment institutions
* Downloaded app, completed consent, and filled out baseline survey prior to June 25th 2018
Exclusion Criteria
ALL
Yes
Sponsors
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University of Michigan
OTHER
Responsible Party
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Srijan Sen
Associate Professor
Principal Investigators
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Srijan Sen, M.D., Ph.D.
Role: PRINCIPAL_INVESTIGATOR
University of Michigan
Locations
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University of Michigan
Ann Arbor, Michigan, United States
Countries
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References
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Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, Murphy SA. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol. 2015 Dec;34S(0):1220-8. doi: 10.1037/hea0000305.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
NeCamp T, Sen S, Frank E, Walton MA, Ionides EL, Fang Y, Tewari A, Wu Z. Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial. J Med Internet Res. 2020 Mar 31;22(3):e15033. doi: 10.2196/15033.
Related Links
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Intern Health Study Website
Other Identifiers
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0003302
Identifier Type: -
Identifier Source: org_study_id
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