Intern Health Study 2025
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 入组人数
- 1,000
- 试验地点
- 2
- 主要终点
- Average daily mood
研究概览
简要总结
The aim of this study is to evaluate the efficacy of using a reinforcement learning algorithm to determine the optimal content of a mobile health intervention (message delivered via smartphone) for improving the mood, physical activity, and sleep of medical interns.
详细描述
Due to their high workloads, less sleep and physical activity and other stressors, medical interns suffer from depression at higher rates than the general population. The goal of this study is to evaluate the efficacy of a mobile health intervention intending to help prevent the degradation of health behaviors and the development of depression. 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. A reinforcement learning algorithm will use prior survey, daily mood, and wearable data to make three types of choices each day: 1) whether to send a message or not on a given day, and, if sending a message, 2) the therapeutic strategy (Behavioral Strategy, Cognitive Strategy, Mindfulness, Motivational Interviewing, Distanced Self-Talk), and 3) whether or not to include feedback (the intern's own data) in the message.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Prevention
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Medical intern during the 2025-2026 internship year
- •iPhone or Android phone user
- •Completed the Intern Health Study consent and baseline survey by June 20 prior to the start of intern year
排除标准
- 未提供
结局指标
主要结局
Average daily mood
时间窗: Daily, through study completion at the end of intern year (1 year)
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.
Average daily step count
时间窗: Daily, through study completion at the end of intern year (1 year)
Participant's daily step counts are recorded through a fitness tracker. High step counts are considered a positive outcome as it indicates more physical activity.
Average nightly sleep duration
时间窗: Daily, through study completion at the end of intern year (1 year)
Participant's nightly sleep duration (in minutes) is recorded through a fitness tracker. High sleep duration is considered a positive outcome.
Patient Health Questionnaire-9 (PHQ-9)
时间窗: Quarterly (every 3 months for 1 year)
Prior to the start of the intervention and at quarterly intervals throughout internship year, all participants complete the Patient Health Questionnaire 9. High scores on the PHQ-9 correspond to a larger number of depressive symptoms.
次要结局
未报告次要终点
研究者
Srijan Sen
Frances and Kenneth Eisenberg Professor of Depression and Neurosciences
University of Michigan