In various responses to the COVID-19 pandemic, we can observe insufficient sensitivity towards the needs and circumstances of poorer citizens. Particularly in a context of high inequality, policy makers need to engage with the wider public in debates and consultations to gain better insights in the realities of the worst-off within their jurisdiction. When consultations involve members of traditionally underrepresented groups, these are not only more inclusive, which is in itself an ethical aim, but pool ideas and observations from a (...) much more diverse array of inhabitants. Inclusivity increases the odds to identify a larger range of weak spots for health security and to design health interventions that are less burdensome on those worst-off. (shrink)

Web scraping involves using computer programs for automated extraction and organization of data from the Web for the purpose of further data analysis and use. It is frequently used by commercial companies, but also has become a valuable tool in epidemiological research and public health planning. In this paper, we explore ethical issues in a project that “scrapes” public websites of U.S. county jails as part of an effort to develop a comprehensive database to enhance HIV surveillance and improve continuity (...) of care for incarcerated populations. We argue that the well-known framework of Emanuel et al. provides only partial ethical guidance for the activities we describe, which lie at a complex intersection of public health research and public health practice. We suggest some ethical considerations from the ethics of public health practice to help fill gaps in this relatively unexplored area. (shrink)

Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health and (...) Policy-relevant Ethics in Singapore Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data. (shrink)

Global health research partnerships are increasingly taking the form of consortia of institutions from high-income countries and low- and middle-income countries that undertake programs of research. These partnerships differ from collaborations that carry out single projects in the multiplicity of their goals, scope of their activities, and nature of their management. Although such consortia typically aim to reduce health disparities between and within countries, what is required for them to do so has not been clearly defined. This article takes a (...) conceptual approach to explore how the governance of transnational global health research consortia should be structured to advance health equity. To do so, it applies an account called shared health governance to derive procedural and substantive guidance. A checklist based on this guidance is proposed to assist research consortia determine where their governance practices strongly promote equity and where they may fall short. (shrink)

SALMON A, BROWNE AJ, and PEDERSON A. Nursing Inquiry 2010; 17: 336–345 ‘Now we call it research’: participatory health research involving marginalized women who use drugsIn this paper, we discuss and analyse the strategies employed and challenges encountered when conducting a recent feminist participatory action research study with highly marginalized women who were illicit drug users in an inner city area of Vancouver, Canada. Through an analysis of the political economy of participatory praxis within current neoliberal contexts, we focus on (...) three main areas: (i) reconceptualizing the pragmatics of participation; (ii) the microeconomic implications of participatory research, including ethical issues in payment for research participation; and (iii) the value and limits of using research as a tool for activism and empowerment. We conclude with a brief discussion of what we see to be some of the most salient social justice implications arising from feminist and participatory approaches to health research within neoliberal political spaces. (shrink)

Public health ethics, like the field of public health it addresses, traditionally has focused more on practice and particular cases than on theory, with the result that some concepts, methods, and boundaries remain largely undefined. This paper attempts to provide a rough conceptual map of the terrain of public health ethics. We begin by briefly defining public health and identifying general features of the field that are particularly relevant for a discussion of public health ethics.Public health is primarily concerned with (...) the health of the entire population, rather than the health of individuals. Its features include an emphasis on the promotion of health and the prevention of disease and disability; the collection and use of epidemiological data, population surveillance, and other forms of empirical quantitative assessment; a recognition of the multidimensional nature of the determinants of health; and a focus on the complex interactions of many factors—biological, behavioral, social, and environmental—in developing effective interventions. (shrink)

“Informed consent” implicitly links the transmission of information to the granting of permission on the part of patients, tissue donors, and research subjects. But what of the corollary, informed refusal? Drawing together insights from three moments of refusal, this article explores the rights and obligations of biological citizenship from the vantage point of biodefectors—those who attempt to resist technoscientific conscription. Taken together, the cases expose the limits of individual autonomy as one of the bedrocks of bioethics and suggest the need (...) for a justice-oriented approach to science, medicine, and technology that reclaims the epistemological and political value of refusal. (shrink)

Background The opioid epidemic has enabled rapid and unsurpassed use of big data on people with opioid use disorder to design initiatives to battle the public health crisis, generally without adequate input from impacted communities. Efforts informed by big data are saving lives, yielding significant benefits. Uses of big data may also undermine public trust in government and cause other unintended harms. Objectives We aimed to identify concerns and recommendations regarding how to use big data on opioid use in ethical (...) ways. Methods We conducted focus groups and interviews in 2019 with 39 big data stakeholders who had interest in or knowledge of the Public Health Data Warehouse maintained by the Massachusetts Department of Public Health. Results Concerns regarding big data on opioid use are rooted in potential privacy infringements due to linkage of previously distinct data systems, increased profiling and surveillance capabilities, limitless lifespan, and lack of explicit informed consent. Also problematic is the inability of affected groups to control how big data are used, the potential of big data to increase stigmatization and discrimination of those affected despite data anonymization, and uses that ignore or perpetuate biases. Participants support big data processes that protect and respect patients and society, ensure justice, and foster patient and public trust in public institutions. Recommendations for ethical big data governance offer ways to narrow the big data divide, enact shared data governance, cultivate public trust and earn social license for big data uses, and refocus ethical approaches. Conclusions Using big data to address the opioid epidemic poses ethical concerns which, if unaddressed, may undermine its benefits. Findings can inform guidelines on how to conduct ethical big data governance and in ways that protect and respect patients and society, ensure justice, and foster patient and public trust in public institutions. (shrink)

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of the ethical implications (...) of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: informed consent, privacy, ownership, epistemology and objectivity, and ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: the dangers of ignoring group-level ethical harms; the importance of epistemology in assessing the ethics of Big Data; the changing nature of fiduciary relationships that become increasingly data saturated; the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; future problems with ownership of intellectual property generated from analysis of aggregated datasets; and the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices. (shrink)

Digital contact tracing, in combination with widespread testing, has been a focal point for many plans to “reopen” economies while containing the spread of Covid‐19. Most digital contact tracing projects in the United States and Europe have prioritized privacy protections in the form of local storage of data on smartphones and the deidentification of information. However, in the prioritization of privacy in this narrow form, there is not sufficient attention given to weighing ethical trade‐offs within the context of a public (...) health pandemic or to the need to evaluate safety and effectiveness of software‐based technology applied to public health. (shrink)

Undertaking engagement in public health research is ethically essential. There is a growing emphasis on practicing engagement as the co‐construction of knowledge, which goes beyond other common forms of engagement in health research practice: consulting and informing. Taking such an approach means researchers jointly construct knowledge with research users and beneficiaries; all parties design and conduct research together and share decision‐making power. This article makes the normative argument that such engagement is necessary to achieve the foundational moral aims of public (...) health research—building relations of equality and addressing the health needs of those considered disadvantaged—which reflect the field's underlying commitment to social justice. It next identifies and discusses three ways in which co‐constructing knowledge advances those moral aims: by facilitating self‐determination, supporting individuals’ right to research, and maximizing social knowledge to address cognitive and epistemic injustice. Objections to the arguments presented in the article are then articulated and defended against. (shrink)

This paper contends that a research ethics approach to the regulation of health data research is unhelpful in the era of population‐level research and big data because it results in a primary focus on consent (meta‐, broad, dynamic and/or specific consent). Two recent guidelines – the 2016 WMA Declaration of Taipei on ethical considerations regarding health databases and biobanks and the revised CIOMS International ethical guidelines for health‐related research involving humans – both focus on the growing reliance on health data (...) for research. But as research ethics documents, they remain (to varying degrees) focused on consent and individual control of data use. Many current and future uses of health data make individual consent impractical, if not impossible. Many of the risks of secondary data use apply to communities and stakeholders rather than individual data subjects. Shifting from a research ethics perspective to a public health lens brings a different set of issues into view: how are the benefits and burdens of data use distributed, how can data research empower communities, who has legitimate decision‐making capacity? I propose that a public health ethics framework – based on public benefit, proportionality, equity, trust and accountability – provides more appropriate tools for assessing the ethical uses of health data. The main advantage of a public health approach for data research is that it is more likely to foster debate about power, justice and equity and to highlight the complexity of deciding when data use is in the public interest. (shrink)

For over 100 years, the field of contemporary public health has existed to improve the health of communities and populations. As public health practitioners conduct their work – be it focused on preventing transmission of infectious diseases, or prevention of injury, or prevention of and cures for chronic conditions – ethical dimensions arise. Borrowing heavily from the ethical tools developed for research ethics and bioethics, the nascent field of public health ethics soon began to feel the limits of the clinical (...) model and began creating different frameworks to guide its ethical challenges. Several public health ethics frameworks have been introduced since the late 1990s, ranging from extensions of principle-based models to human rights and social justice perspectives to those based on political philosophy. None has coalesced as the framework of choice in the discipline of public health. This paper examines several of the most-known frameworks of public health ethics for their common theoretical underpinnings and values, and suggests next steps toward the formulation of a single framework. (shrink)

Volume 20, Issue 10, October 2020, Page 29-31.

BackgroundThe past 10 years have witnessed a significant growth in sharing of health data for secondary uses. Alongside this there has been growing interest in the public acceptability of data sharing and data linkage practices. Public acceptance is recognised as crucial for ensuring the legitimacy of current practices and systems of governance. Given the growing international interest in this area this systematic review and thematic synthesis represents a timely review of current evidence. It highlights the key factors influencing public responses (...) as well as important areas for further research.MethodsThis paper reports a systematic review and thematic synthesis of qualitative studies examining public attitudes towards the sharing or linkage of health data for research purposes. Twenty-five studies were included in the review. The included studies were conducted primarily in the UK and North America, with one study set in Japan, another in Sweden and one in multiple countries. The included studies were conducted between 1999 and 2013. The qualitative methods represented in the studies included focus groups, interviews, deliberative events, dialogue workshops and asynchronous online interviews.ResultsKey themes identified across the corpus of studies related to the conditions necessary for public support/acceptability, areas of public concern and implications for future research. The results identify a growing body of evidence pointing towards widespread general—though conditional—support for data linkage and data sharing for research purposes. Whilst a variety of concerns were raised in cases where participants perceived there to be actual or potential public benefits from research and had trust in the individuals or organisations conducting and/or overseeing data linkage/sharing, they were generally supportive. The studies also find current low levels of awareness about existing practices and uses of data.ConclusionsWhilst the results indicate widespread public support for data sharing and linkage for research purposes, a range of concerns exist. In order to ensure public support for future research uses of data greater awareness raising combined with opportunities for public engagement and deliberation are needed. This will be essential for ensuring the legitimacy of future health informatics research and avoiding further public controversy. (shrink)

The global response to managing the spread of HIV has recently undergone a significant shift with the advent of ‘treatment as prevention’, a strategy which presumes that scaling-up testing and treatment for people living with HIV will produce a broader preventative benefit. Treatment as prevention includes an array of diagnostic, technological and policy developments that are creating new understandings of how HIV circulates in bodies and spaces. Drawing on the work of Michel Foucault, we contextualize these developments by linking them (...) to systems of governance and discursive subjectivation. The goal of this article is to problematize the growing importance of viral suppression in the management of HIV and the use of related surveillance technologies. For people living with HIV, we demonstrate how treatment-as-prevention’s emphasis on individual and collective viral load is transforming the performative dimensions of embodied risk, affect, subjectivity and sex. (shrink)

Volume 20, Issue 10, October 2020, Page 1-4.

Volume 20, Issue 10, October 2020, Page 32-33.

A medical information commons is a networked data environment utilized for research and clinical applications. At three deliberations across the U.S., we engaged 75 adults in two-day facilitated discussions on the ethical and social issues inherent to sharing data with an MIC. Deliberants made recommendations regarding opt-in consent, transparent data policies, public representation on MIC governing boards, and strict data security and privacy protection. Community engagement is critical to earning the public's trust.

Volume 20, Issue 10, October 2020, Page 44-47.