Employing Machine Learning and Behavioral Science Solutions to Increase Women's Wellness Scheduling and Attendance: A Randomized Controlled Trial
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 30,068
- 试验地点
- 1
- 主要终点
- Proportion of participants who attended a well woman visit
研究概览
简要总结
The purpose of the present randomized controlled trial is to explore the effectiveness of a 12-month well woman digital health intervention leveraging Precision Nudging - the application of behavioral science and reinforcement learning to create individualized, tailored health messaging at scale that matches the right message to the right person at the right time - in promoting behavior change. Specifically, it is hypothesized that scaling behavioral science through reinforcement learning will be more effective at motivating participants to engage with well woman messages and to schedule and to attend a well woman visit compared to a standard of care message.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Triple (Participant, Care Provider, Investigator)
入排标准
- 年龄范围
- 21 Years 至 65 Years(Adult, Older Adult)
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •Patient of health care system.
- •Visit with OBGYN office in the last 36 months.
- •OBGYN office provider is a Women's Wellness group approved provider.
排除标准
- •Completed a women's wellness within the last 366 days.
- •Upcoming women's wellness appointment.
- •Had a childbirth episode (e.g., C-section vaginal delivery, or other event, including stillbirth) within the last 3 months or has a pregnancy due date in the future.
- •Unsubscribed.
结局指标
主要结局
Proportion of participants who attended a well woman visit
时间窗: 12 months
Proportion of participants who scheduled a well woman visit and did not attend (and did not Cancel and/or Reschedule)
时间窗: 12 months
Proportion of participants who scheduled a well woman visit
时间窗: 12 months
次要结局
- Proportion of participants who opened and/or clicked Call-to-Action, or otherwise engaged with the communication(s)(12 months)
