American Journal of Bioethics最新文献

Treatment pressures are communicative strategies that mental health professionals use to influence the decision-making of mental health service users and improve their adherence to recommended treatment. Szmukler and Appelbaum describe a spectrum of treatment pressures, which encompasses persuasion, interpersonal leverage, offers and threats, arguing that only a particular type of threat amounts to informal coercion. We contend that this account of informal coercion is insufficiently sensitive to context and fails to recognize the fundamental power imbalance in mental healthcare. Based on a set of counterexamples, we argue that what makes a proposal coercive is not whether service users will actually be made worse off if they reject the proposal, but rather whether they have the justified belief that this is the case. Whether this belief is justified depends on the presence of certain contextual factors, such as strong dependency on professionals and the salient possibility of formal coercion.

Stresses on healthcare systems and moral distress among clinicians are urgent, intertwined bioethical problems in contemporary healthcare. Yet conceptualizations of moral distress in bioethical inquiry often overlook a range of routine threats to professional integrity in healthcare work. Using examples from our research on frontline physicians working during the COVID-19 pandemic, this article clarifies conceptual distinctions between moral distress, moral injury, and moral stress and illustrates how these concepts operate together in healthcare work. Drawing from the philosophy of healthcare, we explain how moral stress results from the normal operations of overstressed systems; unlike moral distress and moral injury, it may not involve a sense of powerlessness concerning patient care. The analysis of moral stress directs attention beyond the individual, to stress-generating systemic factors. We conclude by reflecting on how and why this conceptual clarity matters for improving clinicians' professional wellbeing, and offer preliminary pathways for intervention.

There is an ongoing debate about the ethics of research on lifespan extension: roughly, using medical technologies to extend biological human lives beyond the current "natural" limit of about 120 years. At the same time, there is an exploding interest in the use of artificial intelligence (AI) to create "digital twins" of persons, for example by fine-tuning large language models on data specific to particular individuals. In this paper, we consider whether digital twins (or digital doppelgängers, as we refer to them) could be a path toward a kind of life extension-or more precisely, a kind of person extension-that does not rely on biological continuity. We discuss relevant accounts of consciousness and personal identity and argue that digital doppelgängers may at least help us achieve some of the aims or ostensible goods of person-span extension, even if they may not count as literal extensions of our personhood on dominant philosophical accounts. We also consider relational accounts of personhood and discuss how digital doppelgängers may be able to extend personhood in a relational sense, or at least secure some of the goods associated with relevant relationships. We conclude by suggesting that a research program to investigate such issues is relevant to ongoing debates about the ethics of extending the human lifespan.

Regulations implemented by World Athletics (WA) require female athletes with differences of sexual development to suppress their blood testosterone levels in order to participate in certain women's sporting competitions. These regulations have been justified by reference to fairness. In this paper, we reconstruct WA's understanding of fairness, which requires a "level playing field" where no athlete should have a significant performance advantage based on factors other than talent, dedication, and hard work over an average athlete in their category. We demonstrate that by placing regulations only on testosterone levels, while ignoring physical as well as socioeconomic advantages, WA consistently fails to meet its own definition of fairness. We then discuss several ways in which this definition could be met. Our analysis shows that a categorical system, in which athletes are divided into categories based on properties leading to significant performance advantages, is best suited for meeting WA's definition of fairness.

25.6 Million people in the United States have Limited English Proficiency (LEP), defined as insufficient ability to read, write, or understand English. We will (1) Delineate the merits of approaching language as a social determinant of health, (2) highlight pertinent public health values and guidelines which are most relevant to the plight of populations with LEP and (3) Use the COVID-19 pandemic as an example of how a breakdown in public health ethics values created harm for populations and patients with LEP. We define a framework to tease out public health responsibilities given some populations' limited proficiency in a society's predominant language. The American Public Health Association (APHA) public health ethics core values serve as a framework to interrogate current practices. We use the COVID-19 case to illustrate gaps between health policy and healthcare disparities experienced by populations with LEP.

Recent calls to address racism in bioethics reflect a sense of urgency to mitigate the lethal effects of a lack of action. While the field was catalyzed largely in response to pivotal events deeply rooted in racism and other structures of oppression embedded in research and health care, it has failed to center racial justice in its scholarship, pedagogy, advocacy, and practice, and neglected to integrate anti-racism as a central consideration. Academic bioethics programs play a key role in determining the field's norms and practices, including methodologies, funding priorities, and professional networks that bear on equity, inclusion, and epistemic justice. This article describes recommendations from the Racial Equity, Diversity, and Inclusion (REDI) Task Force commissioned by the Association of Bioethics Program Directors to prioritize and strengthen anti-racist practices in bioethics programmatic endeavors and to evaluate and develop specific goals to advance REDI.

Bioethicists influence practices and policies in medicine, science, and public health. However, little is known about bioethicists' views. We recently surveyed 824 U.S. bioethicists on a wide range of ethical issues, including topics related to abortion, medical aid in dying, and resource allocation, among others. We also asked bioethicists about their demographic, religious, academic, and professional backgrounds. We find that bioethicists' normative commitments predict their views on bioethical issues. We also find that, in important ways, bioethicists' views do not align with those of the U.S. public: for instance, bioethicists are more likely than members of the public to think abortion is ethically permissible but are less likely to believe compensating organ donors is. Our demographic results indicate the field of bioethics is far less diverse than the U.S. population-less diverse even than other academic disciplines-suggesting far more work needs to be done to build an inclusive field.

Within the ethical debate on Machine Learning-driven decision support systems (ML_CDSS), notions such as "human in the loop" or "meaningful human control" are often cited as being necessary for ethical legitimacy. In addition, ethical principles usually serve as the major point of reference in ethical guidance documents, stating that conflicts between principles need to be weighed and balanced against each other. Starting from a neo-Kantian viewpoint inspired by Onora O'Neill, this article makes a concrete suggestion of how to interpret the role of the "human in the loop" and to overcome the perspective of rivaling ethical principles in the evaluation of AI in health care. We argue that patients should be perceived as "fellow workers" and epistemic partners in the interpretation of ML_CDSS outputs. We further highlight that a meaningful process of integrating (rather than weighing and balancing) ethical principles is most appropriate in the evaluation of medical AI.