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Risk-reducing salpingectomy with delayed oophorectomy in BRCA1/2 mutation carriers: patients' and professionals'
Marieke Arts-de Jong1, Marline G Harmsen1, Nicoline Hoogerbrugge2
1Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Objective:
To identify influencing factors of BRCA1/2 mutation carriers and their professionals for risk-reducing salpingectomy (RRS) with delayed oophorectomy (RRO) as a substitute for risk-reducing salpingo-oophorectomy (RRSO) and for study participation on this concept.
Methods:
A qualitative study was performed by four focus group interviews with 39 BRCA1/2 mutation carriers and semi-structured in-depth interviews with 23 professionals in the field of hereditary cancer. We used a theoretical framework of determinants of innovation within healthcare organizations to classify influencing factors (barriers and facilitators).
Results:
Among BRCA1/2 mutation carriers, main barriers for RRS with delayed RRO were seriousness of ovarian cancer, family history, and previous breast cancer. Among professionals, delay of risk-reducing effect of oophorectomy on breast cancer risk and a second operation were recognized as main barriers. Both BRCA1/2 mutation carriers and professionals found uncertainty about the effect of RRS with delayed RRO and ease of the decision to undergo RRSO important barriers. The main facilitator mentioned by both was longer maintenance of ovarian function thereby delaying negative effects of early surgical menopause. For study participation, BRCA1/2 mutation carriers mentioned a randomized study design as the main barrier, whereas professionals identified two facilitators, namely willingness of BRCA1/2 mutation carriers for study participation and uniform counseling. Furthermore, most BRCA1/2 mutation carriers and professionals were willing to consider participation in a future non-randomized study.
Conclusions:
We identified several barriers and facilitators for RRS with delayed RRO, and for study participation which can be addressed to optimize the design and implementation of a non-randomized study.
