Author:
Kautz-Freimuth Sibylle,Redaèlli Marcus,Shukri Arim,Kentenich Hannah,Simic Dusan,Mildenberger Vanessa,Schmutzler Rita,Rhiem Kerstin,Stock Stephanie
Abstract
Abstract
Background
Women with pathogenic BRCA1 or BRCA2 variants are at high risk for breast and ovarian cancer. Preventive options include risk-reducing breast and ovarian surgeries and intensified breast surveillance. However, individual decision-making is often associated with decisional conflicts. Two evidence-based decision aids have recently been developed for these women (healthy or with unilateral breast cancer) for the German context to support them in their decision-making process. This study evaluated their effectiveness.
Methods
In a randomized controlled study, women (aged 18–70 years) with pathogenic BRCA1 or BRCA2 variants were randomly assigned 1:1 to the intervention (IG, n = 230) or control (CG, n = 220) group. All participants received usual care. After baseline survey (t0), IG participants additionally received the DAs. Follow-up surveys were at three (t1) and six (t2) months. Primary outcome was decisional conflict at t1. Secondary analyses included decision status, decision regret, knowledge on risks and preventive options, self-reported psychological symptoms, acceptability of DAs, and preparation for decision-making.
Results
Of 450 women recruited, 417 completed t0, 398 completed t1 and 386 completed t2. Compared to CG, IG participants had lower decisional conflict scores at t1 (p = 0.049) and t2 (p = 0.006) and higher scores for knowledge (p = 0.004), acceptability (p = 0.000), and preparation for decision-making (p < 0.01).
Conclusions
These DAs can help improve key parameters of decision-making in women with pathogenic BRCA1 and BRCA2 variants and, thus, provide a useful add-on to the current counseling and care concept for these women in Germany.
Trial registration
German Clinical Trials Register, DRKS-ID: DRKS00015823, retrospectively registered 14/06/2019.
Funder
Universitätsklinikum Köln
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Health Policy,Computer Science Applications
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献