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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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05509049
Enrollment
30068
Registered
2022-08-19
Start date
2022-09-07
Completion date
2024-01-09
Last updated
2024-01-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Annual Visit, Health Behavior, Prevention, Well Visit, Women's Health

Keywords

Digital Health Intervention, Behavior Change, Reinforcement Learning, Artificial Intelligence

Brief summary

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.

Interventions

OTHERPrecision nudging

Precision nudging (i.e., 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)

OTHERStandard of care

Standard of care communication (e.g., personalized letters and patient portal notices)

Sponsors

Rochester Regional Health
CollaboratorUNKNOWN
Lirio
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
TRIPLE (Subject, Caregiver, Investigator)

Intervention model description

This study is designed as a prospective, parallel, large simple superiority randomized controlled trial using simple randomization (no blocking, no stratification).

Eligibility

Sex/Gender
FEMALE
Age
21 Years to 65 Years
Healthy volunteers
Yes

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.

Design outcomes

Primary

MeasureTime frame
Proportion of participants who attended a well woman visit3 months
Proportion of participants who scheduled a well woman visit3 months
Proportion of participants who scheduled a well woman visit and did not attend (and did not Cancel and/or Reschedule)3 months

Secondary

MeasureTime frame
Proportion of participants who opened and/or clicked Call-to-Action, or otherwise engaged with the communication(s)3 months

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026