A Randomized Trial to Maximize Identification and Genetic Counseling Referral of Women at Risk for Hereditary Breast and Ovarian Cancer

A Randomized Trial to Maximize Identification and Genetic Counseling Referral of Women at Risk for Hereditary Breast and Ovarian Cancer

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Author Info

Corresponding Author
Cecelia Bellcross
Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA

A B S T R A C T

Purpose: The Breast Cancer Genetics Referral Screening Tool (B-RST™) has been endorsed as one of several validated screening tools to identify women appropriate for cancer genetics referral. We conducted a randomized trial to determine the most effective means of follow-up for women who screened positive on B-RST™ 3.0. Methods: Women undergoing screening mammography at one of four Emory clinics were approached to complete the B-RST™. Participants who screened positive were randomized to one of three follow-up groups: self-referral (Group 1), electronic health record (EHR) clinician messaging (Group 2), or direct contact (Group 3). We compared genetic counseling appointment scheduling and completion rates by group. Results: Of 2,422 participants, 658 (27.2%) screened positive. Genetic counseling appointments were scheduled by 9.2%, 20.1% and 9.7% of Group 1, 2 and 3 participants respectively (p=0.001). Challenges to scheduling included lack of physician response to EHR messages and unsuccessful direct contact. Among those scheduled (n=78) 70.5% completed the appointment, with no difference between the three groups. Conclusion: B-RST™ can be used effectively in mammography settings to identify high-risk women for cancer genetics referral. Follow-up via EHR appears an acceptable and efficient approach, but additional strategies are needed to facilitate completion of the genetic counseling process.

Article Info

Article Type
Research Article
Publication history
Received: Fri 22, Jan 2021
Accepted: Wed 18, Aug 2021
Published: Tue 31, Aug 2021
Copyright
© 2023 Cecelia Bellcross. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.COR.2021.08.08