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

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Columbia University

Status

Completed

Conditions

Breast Neoplasm

Treatments

Other: BNAV
Other: RealRisks

Study type

Interventional

Funder types

Other
NIH

Identifiers

NCT03069742
R01CA177995 (U.S. NIH Grant/Contract)
AAAP4151 II

Details and patient eligibility

About

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.

Full 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.

Enrollment

300 patients

Sex

Female

Ages

35 to 75 years old

Volunteers

Accepts Healthy Volunteers

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

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

300 participants in 2 patient groups

Decision Aid
Experimental group
Description:
Women at high risk for developing breast cancer will use a decision support tool, RealRisks, that facilitates discussion of breast cancer risk with their providers who will have access to the BNAV provider clinical decision support tool.
Treatment:
Other: RealRisks
Other: BNAV
Control Group
No Intervention group
Description:
Women at high risk for developing breast cancer will receive standard breast health education brochures.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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