Since its introduction in 1987, Benjamin Freedman’s principle of clinical equipoise has enjoyed widespread uptake in bioethics discourse. Recent years, however, have witnessed a growing consensus that the principle is fundamentally flawed. One of the most vocal critics has undoubtedly been Franklin Miller. In a 2008 paper, Steven Joffe and Miller build on this critical work, offering a new conception of clinical research ethics based on science, taking what they call a “scientific orientation” toward the ethics of clinical research. Though (...) there is much to recommend Joffe and Miller’s scientifically oriented conception of clinical research ethics, I believe that both the critical and constructive projects suffer from the same basic mistake: inattention to context. The internal norms of science cannot be fully specified, let alone satisfied, independently of contextual (external) factors that only come into view when we are attentive to the particular context of that form of inquiry. (shrink)

Ethical issues related to comparative effectiveness research, or research that compares existing standards of care, have recently received considerable attention. In this paper we focus on how Ethics Review Committees should evaluate the risks of comparative effectiveness research. We discuss what has been a prominent focus in the debate about comparative effectiveness research, namely that it is justified when “nothing is known” about the comparative effectiveness of the available alternatives. We argue that this focus may be misleading. Rather, we should (...) focus on the fact that some experts believe that the evidence points in favor of one intervention, whereas other experts believe that the evidence favors the alternative. We will then introduce a case that illustrates this point, and based on that, discuss how ERCs should deal with such cases of expert disagreement. We argue that ERCs have a duty to assess the range of expert opinions and based on that assessment arrive at a risk judgment about the study under consideration. We also argue that assessment of expert disagreement is important for the assignment of risk level to a clinical trial: what is the basis for expert opinions, how strong is the evidence appealed to by various experts, and how can clinical trial monitoring affect the possible increased risk of clinical trial participation. (shrink)