The current prevailing view is that participation in biomedical research is above and beyond the call of duty. While some commentators have offered reasons against this, we propose a novel public goods argument for an obligation to participate in biomedical research. Biomedical knowledge is a public good, available to any individual even if that individual does not contribute to it. Participation in research is a critical way to support an important public good. Consequently, all have a duty to participate. The (...) current social norm is that individuals participate only if they have a good reason to do so. The public goods argument implies that individuals should participate unless they have a good reason not to. Such a shift would be of great aid to the progress of biomedical research, eventually making society significantly healthier and longer lived. (shrink)

In this article we attempt to answer the question of how the ethical and conceptual framework (ECF) for a learning health‐care system (LHS) affects some of the main controversies in research ethics by addressing five key problems of research ethics: (a) What is the difference between practice and research? (b) What is the relationship between research ethics and clinical ethics? (c) What is the ethical relevance of the principle of clinical equipoise? (d) Does participation in research require a higher standard (...) of informed consent than the practice of medicine? and (e) What ethical principle should take precedence in medicine? These questions allow us to construct two opposite idealized positions on the distinction between research and practice: the integration model and the segregation model of research and practice. We then compare the ECF for an LHS with these two idealized positions. We argue that the ECF for a LHS does not, in fact, solve these problems, but that it is a third, separate position in the relationship between research ethics and clinical ethics. Moreover, we suggest that the ECF for a LHS raises new ethical problems that require additional ethical analysis and justification. Our article contributes to the discussion on the relationship between research ethics and clinical ethics, revealing that although a learning health‐care system may significantly change the landscape of health care, some ethical dilemmas still require resolving on both theoretical and policy‐making levels. (shrink)

This article argues that we could improve the design of research protocols by developing an awareness of and a responsiveness to the social contexts of all the actors in the research enterprise, including subjects, investigators, sponsors, and members of the community in which the research will be conducted. ?Social context? refers to the settings in which the actors are situated, including, but not limited to, their social, economic, political, cultural, and technological features. The utility of thinking about social contexts is (...) introduced and exemplified by the presentation of a hypothetical case in which one central issue is limitation of the probability of injury to subjects by selection of individuals who are not expected to live long enough for the known risks of the study to become manifest as harms. Benefits of such considerations may include enhanced subject satisfaction and cooperation, community acceptance, and improved data quality, among other desirable consequences. (shrink)

Medical artificial intelligence (AI) is considered to be one of the most important assets for the future of innovative individual and public health care. To develop innovative medical AI, it is necessary to repurpose data that are primarily generated in and for the health care context. Usually, health data can only be put to a secondary use if data subjects provide their informed consent (IC). This regulation, however, is believed to slow down or even prevent vital medical research, including AI (...) development. For this reason, a number of scholars advocate a moral civic duty to share electronic health records (EHRs) that overrides IC requirements in certain contexts. In the medical AI context, the common arguments for such a duty have not been subjected to a comprehensive challenge. This article sheds light on the correlation between two normative discourses concerning informed consent for secondary health record use and the development and use of medical AI. There are three main arguments in favour of a civic duty to support certain developments in medical AI by sharing EHRs: the ‘rule to rescue argument’, the ‘low risks, high benefits argument’, and the ‘property rights argument’. This article critiques all three arguments because they either derive a civic duty from premises that do not apply to the medical AI context, or they rely on inappropriate analogies, or they ignore significant risks entailed by the EHR sharing process and the use of medical AI. Given this result, the article proposes an alternative civic responsibility approach that can attribute different responsibilities to different social groups and individuals and that can contextualise those responsibilities for the purpose of medical AI development. (shrink)

It is widely acknowledged that trust plays an important role for the acceptability of data sharing practices in research and healthcare, and for the adoption of new health technologies such as AI. Yet there is reported distrust in this domain. Although in the UK, the NHS is one of the most trusted public institutions, public trust does not appear to accompany its data sharing practices for research and innovation, specifically with the private sector, that have been introduced in recent years. (...) In this paper, we examine the question of, what is it about sharing NHS data for research and innovation with for-profit companies that challenges public trust? To address this question, we draw from political theory to provide an account of public trust that helps better understand the relationship between the public and the NHS within a democratic context, as well as, the kind of obligations and expectations that govern this relationship. Then we examine whether the way in which the NHS is managing patient data and its collaboration with the private sector fit under this trust-based relationship. We argue that the datafication of healthcare and the broader ‘health and wealth’ agenda adopted by consecutive UK governments represent a major shift in the institutional character of the NHS, which brings into question the meaning of public good the NHS is expected to provide, challenging public trust. We conclude by suggesting that to address the problem of public trust, a theoretical and empirical examination of the benefits but also the costs associated with this shift needs to take place, as well as an open conversation at public level to determine what values should be promoted by a public institution like the NHS. (shrink)

This thesis addresses the tension in pragmatic cluster-randomized trials between their social value and the requirement to respect the autonomy of research participants. Pragmatic trials are designed to evaluate the effectiveness of treatments in real-world settings to inform clinical decision-making and promote cost-efficient care. These trials are often embedded into clinical settings and ideally include all patients who would receive the treatments under investigation as a part of routine care. Trialists increasingly adopt cluster-randomized designs—in which intact groups, such as hospitals (...) or clinics, are allocated randomly to study interventions—to simplify the inclusion of all patients. But including all-comers conflicts with the requirement to obtain written informed consent from research participants. Since informed consent is central to respecting patient autonomy, the question arises: how can the ends of autonomy and pragmatism be served simultaneously? Some philosophers argue that patients have an obligation to participate in clinical research and that this may negate consent requirements. I argue that while there may be grounds for a prima facie obligation for patients to participate in clinical research, no compelling argument has demonstrated that the obligation is enforceable. Others assert that broad application of a waiver of consent will facilitate the conduct of pragmatic cluster-randomized trials. I demonstrate that this proposal sharply conflicts with the historical origins of the waiver. I articulate a novel moral foundation for the use of a waiver of consent and show that when trials evaluate treatments delivered directly to patients, the autonomy interests at stake for participants are too substantial to permit its use. My solution draws a distinction between consent requirements in existing policy and consent as an autonomous authorization. As many pragmatic cluster-randomized trials are conducted in primary care settings with no research staff, I argue that patient autonomy can be promoted and protected using clinical-style consent, in which health providers seek verbal informed consent from patients and document it in the electronic health record. This approach has been associated with high rates of recruitment and, thus, may satisfy both requirements for social value and respect for autonomy. (shrink)

This article argues that we could improve the design of research protocols by developing an awareness of and a responsiveness to the social contexts of all the actors in the research enterprise, including subjects, investigators, sponsors, and members of the community in which the research will be conducted. “Social context” refers to the settings in which the actors are situated, including, but not limited to, their social, economic, political, cultural, and technological features. The utility of thinking about social contexts is (...) introduced and exemplified by the presentation of a hypothetical case in which one central issue is limitation of the probability of injury to subjects by selection of individuals who are not expected to live long enough for the known risks of the study to become manifest as harms. Benefits of such considerations may include enhanced subject satisfaction and cooperation, community acceptance, and improved data quality, among other desirable consequences. (shrink)

The importance of having ethical oversight in research that is carried out on humans is well established. Research ethics, which is mainly influenced by a biomedical ethical framework, aims to ensure that the well-being and the rights of research participants are upheld and that any potential risks and harms are reduced. However, research is also considered to be a social activity with social effects. Therefore the principles of Catholic Social Teaching as a framework for research ethics may be significant. This (...) paper outlines those principles and demonstrates how these principles may be used for: reflecting ethically on research , judging a research ethics proposal and providing guidelines for action in research. (shrink)

In discussions about direct-to-consumer availability of genetic testing, much attention has been given to identifying the various risks and benefits that individuals might incur. For example, upon...

Because of the important benefits that biomedical research offers to humans, some have argued that people have a general moral obligation to participate in research. Although the defense of such a putative moral duty has raised controversy, few scholars, on either side of the debate, have attended to the social context in which research takes place and where such an obligation will be discharged. By reflecting on the social context in which a presumed duty to participate in research will obtain, (...) this article shows that decontextualized discussions of this putative moral obligation are problematic. (shrink)