Understanding and Addressing Rejection of Personalized Breast Cancer Risk Information in Women
2 other identifiers
interventional
726
1 country
2
Brief Summary
The Understanding and Addressing Rejection of Personalized Cancer Risk Information study is a longitudinal study conducted to understand the nature of phenomenon of personalized cancer risk rejection in the context of mammography screening.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2025
Typical duration for not_applicable
2 active sites
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
May 22, 2024
CompletedFirst Posted
Study publicly available on registry
June 4, 2024
CompletedStudy Start
First participant enrolled
April 2, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 2, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 2, 2028
May 19, 2026
May 1, 2026
2 years
May 22, 2024
May 15, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Risk rejection as measured by a numeric estimate.
Participants are asked whether they agree or disagree with their Gail Model risk estimate. An open text box allows them to write the risk number that they believe is accurate for them.
At baseline survey
Risk-concordant information seeking
Participants will be given the opportunity to get more information about breast cancer screening, and will be given response options to receive information for women at lower than average risk, higher than average risk, or women with risk that is "about the same as a typical woman". Concordance is measured by agreement between the participants' actual risk estimate and the option that they choose.
At baseline survey
Screening intentions
Participants are asked their plans to get a mammogram in the next 12 months. The question is answered on a 5-point will-will not Likert scale.
At baseline survey
Other Outcomes (2)
Receipt of screening
At 12 month follow-up survey
Racial demographic of participants
At baseline survey
Study Arms (1)
Breast cancer risk
OTHERAll participants receive a personal breast cancer risk estimate using the Gail Model
Interventions
All participants will be presented with their personal breast cancer risk estimate, calculated using the Gail Model
Eligibility Criteria
You may qualify if:
- Female sex
- Age 39-74 (i.e., people who are eligible for routine breast cancer screening and for whom guidelines recommend an informed, risk-based decision)
- English literacy
You may not qualify if:
- \. Prior diagnosis of
- breast cancer
- Ductal carcinoma in situ (DCIS)
- Lobular carcinoma in situ (LCIS)
- Known BRCA1/2 gene mutation
- Cowan syndrome
- Li-Fraumeni syndrome
- Having received previous chest radiation for treatment of Hodgkin's lymphoma.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Colorado, Denverlead
- National Cancer Institute (NCI)collaborator
- National Institutes of Health (NIH)collaborator
Study Sites (2)
University of Colorado Denver
Aurora, Colorado, 80045, United States
Washington University in St. Louis
St Louis, Missouri, 63130, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Laura Scherer, PhD
University of Colorado, Denver
- PRINCIPAL INVESTIGATOR
Erika Waters, PhD
Washington University at St. Louis
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 22, 2024
First Posted
June 4, 2024
Study Start
April 2, 2025
Primary Completion (Estimated)
April 2, 2027
Study Completion (Estimated)
April 2, 2028
Last Updated
May 19, 2026
Record last verified: 2026-05
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- We will share data and supporting information when we submit the first manuscript for publication.
- Access Criteria
- Anyone can access on the Open Science Framework
We will share di-identified data