Publications by authors named "V Provoost"

Surrogacy is the assisted reproductive technology (ART) practice in which a person becomes pregnant, carries, and delivers a child on behalf of another couple/person, who are the intended parent(s). Surrogacy is an especially complex practice as the interests of the intended parents, the gestational carrier, and the future child may differ. This paper considers ethical questions related to different forms of surrogacy.

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Abortion is an indispensable healthcare service for women of all reproductive ages. Research on abortion is often focused on younger women, neglecting those who are closer to the end of their reproductive lifespan. This study presents findings from qualitative interviews with Belgian women who had an abortion at the age of 40 or older, conducted between May 2022 and April 2023.

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This study aims to gain more insight in the lived experience of men who became father at an advanced age (40 years or older). Advanced Parental Age (APA) is becoming an increasingly widespread phenomenon as the average age at which people have children has been increasing for decades now. However, the psychosocial dimension of APA-fatherhood in particular remains a highly understudied topic.

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Considering the growing demand for egg donation (ED) and the scarcity of women coming forward as donors to meet this demand, scholars have expressed concerns that clinics may (initially) misrepresent risks to recruit more donors. Additionally, (non-)monetary incentives might be used to try to influence potential donors, which may pressure these women or cause them to dismiss their concerns. Since the internet is often the first source of information and first impressions influence individuals' choices, we examined the websites of fertility clinics to explore how they present medical risks, incentives and emotional appeals.

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A growing trend in bioethics highlights the importance of using big data science methods to advance normative insight. This has been called the "digital turn" in bioethics by Salloch and Ursin. Automated data processing can, for example, detect significant patterns of correlation that have escaped the attention of human scholars.

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