This paper challenges the traditional assumption that descriptive and prescriptive sciences are essentially distinct by presenting a study on the implicit normativity of the production and presentation of biomedical scientific facts within evidence-based medicine. This interdisciplinary study serves as an illustration of the potential worth of the concept of implicit normativity for bioethics in general and for integrated empirical ethics research in particular. It demonstrates how both the production and presentation of scientific information in an evidence-based decision-support contain implicit presuppositions (...) and values, which pre-structure the moral environment of the clinical process of decision-making. As a consequence, the evidence-based decision support did not only support the clinical decision-making process; it also transformed it in a morally significant way. This phenomenon undermines the assumption within much of the literature on patient autonomy that information disclosure is a conditional requirement before patient autonomy even starts; patient autonomy is already influenced during the production and presentation of information. These results imply an increased responsibility of those who produce and present evidence-based facts(i.e. scientists in general and physicians in particular). The insights of this study not only involve a different focus on both theory and practice of patient autonomy and informed consent, but they also call for a broader scope of morality than does traditional empirical research in bioethics. The concept of implicit normativity within integrated empirical ethics research calls for a strong cooperation between bioethicists and descriptive scientists, i.e., a cooperation that goes beyond the discipline-specific epistemic values and that takes place during all phases of the research process. (shrink)

In most socialised health systems there are formal processes that manage resource scarcity and determine the allocation of funds to health services in accordance with their priority. In this analysis, part of a larger qualitative study examining the ethical issues entailed in doctors’ participation as technical experts in priority setting, we describe the values and ethical commitments of doctors who engage in priority setting and make an empirically derived contribution towards the identification of an ethical framework for doctors’ macroallocation work. (...) We conducted semi-structured interviews with 20 doctors, each of whom participated in macroallocation at one or more levels of the Australian health system. Our sampling, data-collection, and analysis strategies were closely modelled on grounded moral analysis, an iterative empirical bioethics methodology that employs contemporaneous interchange between the ethical and empirical to support normative claims grounded in practice. The values held in common by the doctors in our sample related to the domains of personal ethics, justice, and practices of argumentation. Applying the principles of grounded moral analysis, we identified that our participants’ ideas of the good in macroallocation and their normative insights into the practice were strongly aligned with the three levels of Paul Ricoeur’s ‘little ethics’: ‘aiming at the “good life” lived with and for others in just institutions’. Our findings suggest new ways of understanding how doctors’ values might have procedural and substantive impacts on macroallocation, and challenge the prevailing assumption that doctors in this milieu are motivated primarily by deontological considerations. Our empirical bioethics approach enabled us to identify an ethical framework for medical work in macroallocation that was grounded in the values and ethical intuitions of doctors engaged in actions of distributive justice. The concordance between Ricoeur’s ‘little ethics’ and macroallocation practitioners’ experiences, and its embrace of mutuality, suggest that it has the potential to guide practice, support ethical reflection, and harmonise deliberative practices amongst actors in macroallocation generally. (shrink)