Effects of Risk Presentation Format and Frequently Asked Questions on Breast Cancer Risk Skepticism
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Laura D Scherer, PhD
- Phone Number: 303-724-3278
- Email: laura.scherer@cuanschutz.edu
Study Contact Backup
- Name: Emily A Vidal, MS
- Phone Number: 303-724-5426
- Email: emily.a.vidal@cuanschutz.edu
Study Locations
-
-
Colorado
-
Aurora, Colorado, United States, 80045
- University of Colorado Anschutz Medical Campus
-
Contact:
- Kate Noonan, MSW
- Phone Number: 303-618-2181
- Email: KATE.NOONAN@CUANSCHUTZ.EDU
-
Contact:
- Laura D Scherer, PhD
- Phone Number: 303-724-3278
- Email: laura.scherer@cuanschutz.edu
-
Principal Investigator:
- Laura D Scherer, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
1. 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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: 5 Year Risk AND N-in-100 Presentation
|
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.
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.
|
|
Experimental: 10 Year Risk AND N-in-100 Presentation
|
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.
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.
|
|
Experimental: Lifetime Risk AND N-in-100 Presentation
|
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.
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.
|
|
Experimental: 5 Year Risk AND N-in-1000 Presentation
|
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.
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.
|
|
Experimental: 10 Year Risk AND N-in-1000 Presentation
|
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.
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.
|
|
Experimental: Lifetime Risk AND N-in-1000 Presentation
|
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.
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.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Risk Skepticism
Time Frame: Day 1
|
Participants' perception of their Gail model risk estimate is trichotomized into three categories: Underestimator (believed risk is lower than estimate), Agreer (believed risk equals estimate), and Overestimator (believed risk is higher than estimate).
|
Day 1
|
|
Risk Perception
Time Frame: Day 1
|
This measure includes two Likert scale questions assessing the perceived likelihood of developing cancer and the level of worry about getting cancer.
|
Day 1
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Laura D Scherer, PhD, University of Colorado, Denver
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 26-1163
- R01CA279953 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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