Effects of Risk Presentation Format and Frequently Asked Questions on Breast Cancer Risk Skepticism
NCT07793721 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 3000
Last updated 2026-08-28
Summary
The purpose of this study is to find out whether the way a breast cancer risk estimate is presented affects how women feel about their risk and whether they believe the estimate is accurate for them. Women aged 39-74 will complete an online survey in which they receive a personalized breast cancer risk estimate using the Breast Cancer Risk Assessment Tool (BCRAT). The study includes two experiments. In the first experiment, women are randomly assigned to receive their estimate in different formats: some will see their risk over 5 years, 10 years, or a lifetime, and some will see their risk expressed out of 100 women or out of 1,000 women. In the second experiment, women receive their estimate and then have the opportunity to read answers to frequently asked questions about how breast cancer risk is calculated and what the estimate means. In both experiments, women are asked whether they believe the estimate reflects their true risk. Both experiments are conducted online through a national survey panel.
Conditions
Interventions
- BEHAVIORAL
-
Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
- BEHAVIORAL
-
Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.
Sponsors & Collaborators
-
National Cancer Institute (NCI)
collaborator NIH -
University of Colorado, Denver
lead OTHER
Principal Investigators
-
Laura D Scherer, PhD · University of Colorado, Denver
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- FACTORIAL
Eligibility
- Min Age
- 39 Years
- Max Age
- 74 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-09-01
- Primary Completion
- 2027-02-01
- Completion
- 2027-04-01
Countries
- United States
Study Locations
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