The future of health research will be characterised by three continuing trends: rising demand for health data; increasing impracticability of obtaining specific consent for secondary research; and decreasing capacity to effectively anonymise data. In this context, governments, clinicians and the research community must demonstrate that they can be responsible stewards of health data. IRBs and RECs sit at heart of this process because in many jurisdictions they have the capacity to grant consent waivers when research is judged to be of (...) particular value. However, several different terms are used to refer to this value, indicating a lack of conceptual clarity regarding the appropriate test for access to health data for research without consent. In this paper we do three things. First we describe the current confusion and instability in terminology relating to public interest in the context of consent waivers. Second we argue for harmonisation of terminology on the grounds of clarity, transparency and consistency. Third we argue that the term ‘public interest’ best reflects the normative work required to justify consent waivers because it is the broadest of the competing terms. ‘Public interest’ contains within its scope positive and negative implications of a study, as well as welfare, justice and rights considerations. In making this argument, we explain the normative basis for consent waivers, and provide a starting place for further discussion about the precise conditions in which a given study can be said to advance the public interest. Ipsos MORI study found that: … the public would be broadly happy with administrative data linking for research projects provided Those projects have social value, broadly defined. Data are de-identified. Data are kept secure. Businesses are not able to access the data for profit. (shrink)

Protecting human subjects from being exploited is one of the main ethical challenges for clinical research. However, there is also a responsibility to protect and respect the communities who are hosting the research. Recently, attention has focused on the most efficient way of carrying out clinical research, so that it benefits society by providing valuable research while simultaneously protecting and respecting the human subjects and the communities where the research is conducted. Collaboration between partners plays an important role and that (...) is why we carried out a study to describe how collaborative partnership and social value are emerging in clinical research. A supra-analysis design for qualitative descriptive secondary analysis was employed to consider a novel research question that pertained to nurse leaders’ perceptions of ethical recruitment in clinical research and the ethics-related aspects of clinical research from the perspective of administrative staff. The data consisted of two separate pre-existing datasets, comprising 451 pages from 41 interviews, and we considered the research question by using deductive-inductive content analysis with NVivo software. A deductive analysis matrix was generated on the basis of two requirements, namely collaborative partnership and social value, as presented in An Ethical Framework for Biomedical Research by Emanuel et al. The findings showed that collaborative partnership was a cornerstone for ethical clinical research and ways to foster inter-partner collaboration were indicated, such as supporting mutual respect and equality, shared goals and clearly defined roles and responsibilities. In addition, the social value of clinical research was an important precondition for ethical clinical research and its realisation required the research partners to demonstrate collaboration and shared responsibility during the research process. However, concerns emerged that the multidimensional meaning of clinical research for society was not fully recognised. Achieving greater social value for clinical research required greater transparency, setting research priorities, shared responsibility for the dissemination and use of the findings and stronger community awareness of the ethics-related aspects of clinical research. Collaborative partnership and social values are essential for protecting the human subjects and communities involved in clinical research. (shrink)

:In a recent paper in Cambridge Quarterly of Healthcare Ethics on the necessary conditions for morally responsible animal research David DeGrazia and Jeff Sebo claim that the key requirements for morally responsible animal research are an assertion of sufficient net benefit, a worthwhile-life condition, and a no-unnecessary-harm condition. With regards to the assertion of sufficient net benefit, the authors claim that morally responsible research offers unique benefits to humans that outweigh the costs and harms to humans and animals. In this (...) commentary we will raise epistemic, practical, and ethical challenges to DeGrazia and Sebo’s emphasis on benefits in the prospective assessment of research studies involving animals. We do not disagree with DeGrazia and Sebo that, at the theoretical level, the benefits of research justify our using animals. Our contribution intends to clarify, at the practical level, how we should understand benefits in the prospective assessment and moral justification of animal research. We argue that ASNB should be understood as an assessment of Expectation of Knowledge Production in the prospective assessment and justification of animal research. EKP breaks down into two further claims: that morally responsible research generates knowledge worth having and that morally responsible research is designed and executed to produce generalizable knowledge. We understand the condition called knowledge worth having as scientists’ testing a hypothesis that, whether verified or falsified, advances an important interest, and production of generalizable knowledge in terms of scientific integrity. Generalizable knowledge refers to experimental results that generalize to a larger population beyond the animals studied. Generalizable scientific knowledge is reliable, replicable, and accurately descriptive. In sum, morally responsible research will be designed and carefully executed to successfully test a hypothesis that, whether verified or falsified, advances important interests. Our formulation of EKP, crucially, does not require further showing that an experiment involving animals will produce societal benefits. (shrink)

A growing proportion of clinical research funded by pharmaceutical companies, high-income country research agencies, and not-for-profit funders is conducted in low- and middle-income settings. Disparities in wealth and access to healthcare between the populations where new interventions are often tested and those where many of them are ultimately marketed raise concerns about exploitation. This chapter examines several ethical requirements frequently advanced as mechanisms for protecting research subjects in underserved communities from exploitation and evaluates the effectiveness of those mechanisms as responses (...) to exploitation worries. It goes on to highlight where the conceptual frameworks relied upon by research ethicists must be improved if we are to fully understand the nature of the moral claims and obligations that arise in research conducted in underserved communities. (shrink)

It has long been taken for granted that clinical research involving human subjects is ethical only if it holds out the prospect of producing socially valuable knowledge. Recently, this social value requirement has come under scrutiny, with prominent ethicists arguing that the social value requirement cannot be substantiated as an ethical limit on clinical research, and others attempting to offer new support. In this paper, I argue that both criticisms and existing defenses of the social value requirement are predicated on (...) what I call the “transactional model of stakeholder obligations”. I go on to problematize this framework, and to introduce an alternative framework for conceptualizing ethical obligations within clinical research. In defending this framework, which I call the “basic structure model of stakeholder obligations”, I also demonstrate how it provides a stronger grounding for the social value requirement that is not vulnerable to critiques grounded in the transactional model. (shrink)

Human infection challenge studies (HCS) involve intentionally infecting research participants with pathogens (or other micro-organisms). There have been recent calls for more HCS to be conducted in low-income and middle-income countries (LMICs), where many relevant diseases are endemic. HCS in general, and HCS in LMICs in particular, raise numerous ethical issues. This paper summarises the findings of a project that explored ethical and regulatory issues related to LMIC HCS via (i) a review of relevant literature and (ii) 45 qualitative interviews (...) with scientists and ethicists. Among other areas of consensus, we found that there was widespread agreement that LMIC HCS can be ethically acceptable, provided that they have a sound scientific rationale, are accepted by local communities and meet usual research ethics requirements. Unresolved issues include those related to (i) acceptable approaches to trade-offs between the scientific aim to produce generalisable results and the protection of participants, (iii) the sharing of benefits with LMIC populations, (iii) the acceptable limits to risks and burdens for participants, (iv) the potential for third-party risk and whether the degree of acceptable third-party risk is different in endemic settings, (v) the conditions under which (if any) it would be appropriate to recruit children for disease-causing HCS, (v) appropriate levels of payment to participants and (vi) appropriate governance of (LMIC) HCS. This paper provides preliminary analyses of these ethical considerations in order to (i) inform scientists and policymakers involved in the planning, conduct and/or governance of LMIC HCS and (ii) highlight areas warranting future research. Insofar as this article focuses on HCS in (endemic) settings where diseases are present and/or widespread, much of the analysis provided is relevant to HCS (in HICs or LMICs) involving pandemic diseases including COVID19. (shrink)