Precision Nudging Drives Wellness Visit Attendance at Scale

Employing Machine Learning and Behavioral Science Solutions to Increase Women's Wellness Scheduling and Attendance: A Randomized Controlled Trial

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.

Inclusion Criteria:

• 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.

Exclusion Criteria:

• 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.