This article presents a part of the results of an empirical study conducted at a Parisian hospital between 2011 and 2014. It aimed at understanding the women and couples’ motivations to terminate or not a pregnancy once a prenatal diagnosis has revealed a genetically related disease in the embryo or fetus. The article first presents the social and legal context of the study, the methodology used and the pathologies that were encountered. Then, it examines the results of the interviews conducted (...) with 5 women alone and 23 couples explaining their reasons for deciding to terminate or not the pregnancy. Finally, it explores the patients’ views about the doctor’s involvement in the decision-making process. The findings reveal the reasons they formulate when they ponder whether to terminate or not the pregnancy. It highlights the process of their deliberation, their hierarchisation of arguments and concerns. They also show how patients, though often consumed in sorrow, claim to be the legitimate decision-makers, especially women, in a social and legal context in which the rejection of eugenics is viewed as an undisputable principle. (shrink)

Proponents of the emerging field of P4 medicine argue that computational integration and analysis of patient-specific “big data” will revolutionize our health care systems, in particular primary care-based disease prevention. While many ambitions remain visionary, steps to personalize medicine are already taken via personalized genomics, mobile health technologies and pilot projects. An important aim of P4 medicine is to enable disease prevention among healthy persons through detection of risk factors. In this paper, we examine the current status of P4 medicine (...) in light of historical and current challenges to predictive and preventive medicine, including overdiagnosis and overtreatment. Moreover, we ask whether it is likely that in silico integration of patient-specific data will be able to better deal such challenges and to turn risk predictions into disease-preventive actions in a wider social context. Given the lack of evidence that P4 medicine can tip the balance between benefits and harms in preventive medicine, we raise concerns about the current promotion of P4 medicine as a solution to the current challenges in public health. (shrink)

Proponents of the emerging field of P4 medicine argue that computational integration and analysis of patient-specific “big data” will revolutionize our health care systems, in particular primary care-based disease prevention. While many ambitions remain visionary, steps to personalize medicine are already taken via personalized genomics, mobile health technologies and pilot projects. An important aim of P4 medicine is to enable disease prevention among healthy persons through detection of risk factors. In this paper, we examine the current status of P4 medicine (...) in light of historical and current challenges to predictive and preventive medicine, including overdiagnosis and overtreatment. Moreover, we ask whether it is likely that in silico integration of patient-specific data will be able to better deal such challenges and to turn risk predictions into disease-preventive actions in a wider social context. Given the lack of evidence that P4 medicine can tip the balance between benefits and harms in preventive medicine, we raise concerns about the current promotion of P4 medicine as a solution to the current challenges in public health. (shrink)