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Internationally, politicians and practitioners have focused strongly on humanization of births, to enable fewer medicalized birth care procedures. In this paper, we explore policy efforts to support better births in order to comprehend developments in maternity care in Denmark and France, two countries previously identified as having different birth cultures. Our analysis has been fueled by the question of how birth policies have developed in both countries in an era in which medicalization of birth has been problematized internationally. Using discourse analysis, we examine the political constructions of specific problems in central policy documents. The analysis shows which problematizations around maternity care are discursively constructed, what solutions are discursively presented and on what assumptions the problematizations are based. The article supports the conclusion of other scholars that a pervading risk discourse on birth and birthing bodies constitutes how maternity care can be experienced and practiced. [ABSTRACT FROM AUTHOR]

The concept of the ‘risk society’ has focused on growing uncertainties about the benefits of scientific innovation and the reliability of professional judgement. Paradoxically, this has gone hand in hand with reductions in the actual risk associated with many activities and is often accompanied by demands for a technological fix. These contradictory impulses are especially evident in maternity care. While maternal and infant mortality rates have fallen, risk conscious patients are increasingly concerned about the possibility of professional mistake or malpractice. As a result, further categories of risk are created for organizations and professionals, particularly in relation to expensive litigation. Against this background, the paper reports on an ethnographic study of two delivery suites in which a computerized decision support system will be implemented. In the paper, we attempt to highlight some of the intricacies of work processes in delivery suites, specifically involving decision-making, risk, uncertainty, professional autonomy and medical knowledge. Our findings suggest a range of complexities that may considerably complicate the implementation of the computerized decision support system when it finally emerges and becomes embedded in delivery suites. [ABSTRACT FROM AUTHOR]