The aim of this trial is to evaluate the efficacy of an intervention (delivered through a smartphone) for improving the mood, physical activity, and sleep of medical interns.
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
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
2,134
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.
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.
University of Michigan
Ann Arbor, Michigan, United States
Average daily mood
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.
Time frame: 7 days
Patient Health Questionnaire-9 (PHQ-9)
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.
Time frame: 4 months
Average daily step count
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.
Time frame: 7 days
Average nightly sleep duration
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.
Time frame: 7 days
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