NCT05509049

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30,068

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Sep 2022

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 17, 2022

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 19, 2022

Completed
19 days until next milestone

Study Start

First participant enrolled

September 7, 2022

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 9, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 9, 2024

Completed
Last Updated

January 17, 2024

Status Verified

January 1, 2024

Enrollment Period

1.3 years

First QC Date

August 17, 2022

Last Update Submit

January 16, 2024

Conditions

Keywords

Digital Health InterventionBehavior ChangeReinforcement LearningArtificial Intelligence

Outcome Measures

Primary Outcomes (12)

  • Proportion of participants who attended a well woman visit

    3 months

  • Proportion of participants who attended a well woman visit

    6 months

  • Proportion of participants who attended a well woman visit

    9 months

  • Proportion of participants who attended a well woman visit

    12 months

  • Proportion of participants who scheduled a well woman visit

    3 months

  • Proportion of participants who scheduled a well woman visit

    6 months

  • Proportion of participants who scheduled a well woman visit

    9 months

  • Proportion of participants who scheduled a well woman visit

    12 months

  • Proportion of participants who scheduled a well woman visit and did not attend (and did not Cancel and/or Reschedule)

    3 months

  • Proportion of participants who scheduled a well woman visit and did not attend (and did not Cancel and/or Reschedule)

    6 months

  • Proportion of participants who scheduled a well woman visit and did not attend (and did not Cancel and/or Reschedule)

    9 months

  • Proportion of participants who scheduled a well woman visit and did not attend (and did not Cancel and/or Reschedule)

    12 months

Secondary Outcomes (4)

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

    3 months

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

    6 months

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

    9 months

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

    12 months

Study Arms (2)

Treatment

EXPERIMENTAL

Behavioral science and reinforcement learning-driven hyper-personalized messages

Other: Precision nudging

Control

ACTIVE COMPARATOR

Standard of care message

Other: Standard of care

Interventions

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)

Treatment

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

Control

Eligibility Criteria

Age21 Years - 65 Years
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Rochester Regional Health

New York, New York, 14617, United States

Location

MeSH Terms

Conditions

Health Behavior

Interventions

Standard of Care

Condition Hierarchy (Ancestors)

Behavior

Intervention Hierarchy (Ancestors)

Quality Indicators, Health CareQuality of Health CareHealth Services AdministrationHealth Care Quality, Access, and Evaluation

Study Officials

  • Laurie Ernest, DNP, BSN, MS, WHNP-C

    Rochester Regional Health

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
TRIPLE
Who Masked
PARTICIPANT, CARE PROVIDER, INVESTIGATOR
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: This study is designed as a prospective, parallel, large simple superiority randomized controlled trial using simple randomization (no blocking, no stratification).
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 17, 2022

First Posted

August 19, 2022

Study Start

September 7, 2022

Primary Completion

January 9, 2024

Study Completion

January 9, 2024

Last Updated

January 17, 2024

Record last verified: 2024-01

Data Sharing

IPD Sharing
Will not share

Locations