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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01CA279953-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
| National Institutes of Health (NIH) | NIH |
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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.
The Understanding and Addressing Rejection of Personalized Cancer Risk Information study seeks to understand the nature of the phenomenon of personalized cancer risk rejection in the context of mammography screening by 1) identifying demographic and psychological factors associated with risk rejection and 2) identify how risk rejection influences risk-concordant mammography screening behavior. The study will test a priori theory-derived hypotheses about the precursors of risk rejection and the influence of rejection on real-life screening decision making.
The Breast Cancer Risk Assessment Tool (BCRAT) will be used to asses participant's breast cancer risk. This model is designed to estimate breast cancer risk in women 35-84, and uses the following predictors: 1) age, 2) age at first menstrual period, 3) age at first live birth, 4) first-degree relatives with breast cancer, 5) previous breast biopsy with atypical hyperplasia, and 6) race/ethnicity. Participants will be required to complete the baseline survey in which they receive their BCRAT model risk estimate and respond to that risk estimate. They will then complete a 12-month follow-up survey.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Breast cancer risk | Other | All participants receive a personal breast cancer risk estimate using the Gail Model |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Presentation of personal breast cancer risk estimate | Behavioral | All participants will be presented with their personal breast cancer risk estimate, calculated using the Gail Model |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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| Measure | Description | Time Frame |
|---|---|---|
| Receipt of screening | Participants are asked if they received a mammogram in the past 12 months following the baseline survey. | At 12 month follow-up survey |
| Racial demographic of participants | Participants are asked about their race and whether or not they are of Hispanic or Latino origin. |
Inclusion Criteria:
Exclusion Criteria:
1. Prior diagnosis of
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| Name | Affiliation | Role |
|---|---|---|
| Laura Scherer, PhD | University of Colorado, Denver | Principal Investigator |
| Erika Waters, PhD | Washington University at St. Louis | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Colorado Denver | Aurora | Colorado | 80045 | United States | ||
| Washington University in St. Louis |
We will share di-identified data
We will share data and supporting information when we submit the first manuscript for publication.
Anyone can access on the Open Science Framework
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| At baseline survey |
| St Louis |
| Missouri |
| 63130 |
| United States |