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Study of Web-based Decision Aids for Increasing Breast Cancer Chemoprevention in the Primary Care Setting

Web-based Decision Aids for Breast Cancer Risk Assessment and Increasing Breast Cancer Chemoprevention in the Primary Care Setting: Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03069742
Enrollment
300
Registered
2017-03-03
Start date
2016-11-30
Completion date
2022-08-31
Last updated
2023-03-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Neoplasm

Keywords

Breast Cancer Prevention, Risk Assessment, Chemoprevention, Decision Making

Brief summary

The purpose of this randomized controlled trial (RCT) is to evaluate a decision support website (RealRisks) designed to inform patients about breast cancer prevention options. It is coupled with a physician-centered (BNAV) decision support website as part of clinical workflow in the primary care setting. The investigators hypothesize that improving accuracy of breast cancer risk perception and understanding of the risks and benefits of breast cancer risk lowering drugs, also known as chemoprevention, will increase the uptake of chemoprevention in the primary care setting.

Detailed description

Breast cancer is the most common malignancy among women in the U.S. and the primary prevention of this disease is a major public health issue. The U.S. Preventive Services Task Force and other professional organizations recommend that clinicians discuss chemoprevention with high-risk women. Breast cancer chemoprevention with anti-estrogens, such as tamoxifen, raloxifene, exemestane, and anastrozole, is under-utilized, despite several randomized controlled trials demonstrating a 40-65% decrease in breast cancer incidence among high-risk women. Compounding this underutilization is the fact that a large proportion of women may be unaware of their high-risk status due to the investigators' inability to adequately screen them in the primary care setting. Further research is needed to determine how knowledge about breast cancer, actual/perceived risk, and risks/benefits of chemoprevention are best communicated to women in order to promote breast cancer prevention strategies. The investigators hypothesize that combining a patient-centered decision aid with a physician-centered decision support tool integrated into clinic workflow will improve accuracy of breast cancer risk perception, facilitate referrals for specialized risk counseling, and increase chemoprevention uptake. We anticipate that the BNAV tool will facilitate referrals to the breast clinic by primary care providers (PCPs) and that the RealRisks decision aid will prime high-risk women to seek these referrals. The primary endpoint is uptake of a selective estrogen receptor modulator (SERM) or Aromatase inhibitor (AI) for breast cancer chemoprevention at 6 months (after the next primary care appointment) in the active arm compared to usual care.

Interventions

RealRisks is a web-based patient decision aid with modules that present information about risk assessment and chemoprevention.

OTHERBNAV

Breast Cancer Risk Navigation (BNAV) tool is a web-based decision support tool with modules that present pertinent information for primary care providers regarding breast cancer risk assessment and preventative measures for their patients.

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
Columbia University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
35 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* 5-year breast cancer risk ≥ to 1.67% or lifetime risk ≥ to 20% according to the Gail risk model; or a 5-year breast cancer risk ≥ 1.67% according to the Breast Cancer Surveillance Consortium (BCSC) model * The participant understands and is willing to provide informed consent in English or Spanish * Has a primary care provider at Columbia University Medical Center (CUMC) / New York-Presbyterian Hospital

Exclusion criteria

* Prior use of a selective estrogen receptor modulator (SERM) or aromatase inhibitor (AI) for chemoprevention * Prior history of breast cancer

Design outcomes

Primary

MeasureTime frameDescription
Chemoprevention uptake rate among high-risk women6 months (after the next primary care visit)The primary endpoint is to determine the uptake rate of a SERM or AI medication for breast cancer chemoprevention at 6 months (after the next primary care visit) in the active arm compared to usual care (control arm). Electronic health records will be used to track chemoprevention uptake after exposure to the intervention, the RealRisks decision aid, or the control, standard standard breast health education brochures.

Secondary

MeasureTime frameDescription
Chemoprevention intention rate among high-risk women (Likert Scale Score)1 monthBehavioral intention for chemoprevention will be assessed one month after baseline among those in the active arm compared to patients receiving usual care (control arm).
High-risk referral rates to the breast clinic6 months (after the next primary care visit)To study appropriate referral rate to the breast clinic by primary care providers of high-risk patients in the active arm compared to patients receiving usual care (control arm).
Completion of high-risk consultations at the breast clinic6 months (after the next primary care visit)To study appointment completion rate at the breast clinic by high-risk patients in the active arm compared to patients receiving usual care (control arm).

Other

MeasureTime frameDescription
Change in the accuracy of risk perception (Likert Scale Score)6 monthsTo measure the patient's accuracy of perceived breast cancer risk before and after exposure to the RealRisks decision aid compared to those patients in the control group receiving usual care. Perception will be assessed by comparing the difference between a patient's perceived risk and their actual risk based on the Gail breast cancer model. Patients are asked to make a comparative risk assessment about themselves on a 3-point Likert scale.
Change in a patient's breast cancer knowledge (Survey Score)6 monthsTo assess patient's breast cancer knowledge before and after exposure to the RealRisks decision aid compared to those patients in the control arm by comparing the difference between a patient's responses to a 13-item scale assessing knowledge with response options of true, false, or unsure.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 4, 2026