- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03972293
2018 Intern Health Study Micro-randomized Trial (IHS)
2018 Intern Health Study Micro-randomized Trial: Developing a Mobile Health App to Improve Mental Health and Maintain Healthy Behaviors During the Internship Year
Study Overview
Status
Conditions
Detailed Description
Due to their high stress workloads, medical interns suffer from depression at higher rates than the general population. Interns also tend to have lower sleep and decreased physical activity. The goal of this trial is to evaluate the efficacy of a mobile health intervention intending to help improve the mental health of medical interns. The intervention sends mobile phone notifications which aim to help interns improve their mood, maintain physical activity, and obtain adequate sleep during their internship year.
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Michigan
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Ann Arbor, Michigan, United States, 48109
- University of Michigan
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Medical intern during the 2018-2019 internship year
- 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:
-None
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: 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). |
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.
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.
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Experimental: 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.
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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.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Average daily mood
Time Frame: 7 days
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Through the mobile app, participants enter a mood score (scale 1-10) every day of the study. 1 corresponds to lowest mood and 10 corresponds to highest mood For interns randomized to arm 1, average daily moods scores on weeks when a specific category of notification is sent are compared to mood scores on weeks when no notifications are sent. |
7 days
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Patient Health Questionnaire-9 (PHQ-9)
Time Frame: 4 months
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Four months into the study, all participants complete the Patient Health Questionnaire 9. High scores on the PHQ-9 correspond to a larger number of depressive symptoms. PHQ-9 scores are compared between the two arms: receive notifications vs do not receive notifications. |
4 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Average daily step count
Time Frame: 7 days
|
Participant's daily step counts are recorded through a Fitbit. High step counts are considered a positive outcome as it indicates more physical activity. For interns randomized to arm 1, average daily step counts on weeks when activity notifications are sent are compared to step counts on weeks when no notifications are sent. |
7 days
|
Average nightly sleep duration
Time Frame: 7 days
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Participant's nightly sleep duration (in minutes) is recorded through a Fitbit. High sleep duration is considered a positive outcome. For interns randomized to arm 1, nightly sleep duration on weeks when sleep notifications are sent are compared to sleep duration on weeks when no notifications are sent. |
7 days
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Srijan Sen, M.D., Ph.D., University of Michigan
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 0003302
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- Informed Consent Form (ICF)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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