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Global health solidarity
For much of the twentieth Century, vulnerability to deprivations of health has often been defined by geographical and economic factors. Those in wealthy, usually ‘Northern’ and ‘Western’, parts of the world have benefited from infrastructures, and accidents of geography and climate, which insulate them from many serious threats to health. Conversely, poorer people are typically exposed to more threats to health, and have lesser access to the infrastructures needed to safeguard them against the worst consequences of such exposure. However, in recent years the increasingly globalised nature of the world’s economy, society, and culture, combined with anthropogenic climate change and the evolution of antibiotic resistance, has begun to shift the boundaries that previously defined the categories of person threatened by many exogenous threats to health. In doing so, these factors expose both new, and forgotten, similarities between persons, and highlight the need for global cooperative responses to the existential threats posed by climate change and the evolution of antimicrobial resistance. In this paper, we argue that these emerging health threats, in demonstrating the similarities that exist between even distant persons, provides a catalyst for global solidarity, which justifies, and provides motivation for, the establishment of solidaristic, cooperative global health infrastructures
Conscientious objection in health care provision: a new dimension
The right to conscientious objection in the provision of health care is the subject of a lengthy, heated and controversial debate. Recently, a new dimension was added to this debate by the U.S. Supreme Court’s decision in Burwell vs. Hobby Lobby et al. which effectively granted rights to freedom of conscience to private, for-profit corporations. In light of this paradigm shift, we examine one of the most contentious points within this debate, the impact of granting conscience exemptions to health care providers on the ability of women to enjoy their rights to reproductive autonomy. We argue that the exemptions demanded by objecting health care providers cannot be justified on the liberal, pluralist grounds on which they are based, and impose unjustifiable costs on both individual persons, and society as a whole. In doing so, we draw attention to a worrying trend in health care policy in Europe and the United States to undermine women’s rights to reproductive autonomy by prioritising the rights of ideologically motivated service providers to an unjustifiably broad form of freedom of conscience
Punishing Intentions and Neurointerventions
How should we punish criminal offenders? One prima facie attractive punishment is administering a mandatory
neurointervention—“interventions that exert a physical, chemical or biological effect on the brain in order to diminish the
likelihood of some forms of criminal offending” (Douglas and Birks 2018, 2). While testosterone-lowering drugs have long
been used in European and US jurisdictions on sex offenders, it has been suggested that advances in neuroscience raise the
possibility of treating a broader range of offenders in the future. Neurointerventions could be a cheaper, and more effective
method of punishment. They could also be more humane. Nevertheless, in this paper we provide an argument against the
use of mandatory neurointerventions on offenders. We argue that neurointerventions inflict a significant harm on an offender
that render them a morally objectionable form of punishment in a respect that incarceration is not. Namely, it constitutes an
objectionable interference with the offender’s mental states. However, it might be thought that incarceration also involves an
equally objectionable interference with the offender’s mental states. We show that even if it were the case that the offender is
harmed to the same extent in the same respect, it does not follow that the harms are morally equivalent. We argue that if
one holds that intended harm is more difficult to justify than harm that is unintended but merely foreseen, this means
neurointerventions could be morally objectionable in a significant respect that incarceration is not
Enhancing patient safety by integrating ethical dimensions to Critical Incident Reporting Systems
Background Critical Incident Reporting Systems (CIRS) provide a well-proven method to identify clinical risks in hospitals. All professions can report critical incidents anonymously, low-threshold, and without sanctions. Reported cases are processed to preventive measures that improve patient and staff safety. Clinical ethics consultations offer support for ethical conflicts but are dependent on the interaction with staff and management to be effective. The aim of this study was to investigate the rationale of integrating an ethical focus into CIRS. Methods A six-step approach combined the analysis of CIRS databases, potential cases, literature on clinical and organizational ethics, cases from ethics consultations, and experts' experience to construct a framework for CIRS cases with ethical relevance and map the categories with principles of biomedical ethics. Results Four main categories of critical incidents with ethical relevance were derived: (1) patient-related communication; (2) consent, autonomy, and patient interest; (3) conflicting economic and medical interests; (4) staff communication and corporate culture. Each category was refined with different subcategories and mapped with case examples and exemplary related ethical principles to demonstrate ethical relevance. Conclusion The developed framework for CIRS cases with its ethical dimensions demonstrates the relevance of integrating ethics into the concept of risk-, quality-, and organizational management. It may also support clinical ethics consultations' presence and effectiveness. The proposed enhancement could contribute to hospitals' ethical infrastructure and may increase ethical behavior, patient safety, and employee satisfaction
Consent to research participation: understanding and motivation among German pupils
Background The EU's 2006 Paediatric Regulation aims to support authorisation of medicine for children, thus effectively increasing paediatric research. It is ethically imperative to simultaneously establish procedures that protect children's rights. Method This study endeavours (a) to evaluate whether a template consent form designed by the Standing Working Group of the German-Research-Ethics-Committees (AKEK) adequately informs adolescents about research participation, and (b) to investigate associated phenomena like therapeutic misconception and motives for research participation. In March 2016 a questionnaire study was conducted among 279 pupils (mean age 13.1 years) of a secondary school in northern Germany. Results A majority of participants showed a general good understanding of foundational research ethics concepts as understood from the AKEK consent form. Nevertheless, our data also suggests possible susceptibility to therapeutic misconception. Own health concerns and pro-social considerations were found to be significant motivational factors for participating in research, while anticipation of pain lessens likelihood of participation. Advice from trusted others is an important decisional influence, too. Furthermore, data security was found to be a relevant aspect of adolescents' decision-making process. Conclusion Bearing in mind adolescents' generally good understanding, we infer the lack of knowledge about medical research in general to be one source of therapeutic misconception. To further improve the quality of consent we propose a multi-staged approach whereby general research education is completed before an individual becomes a patient or potential participant. To the best of our knowledge this is the first German questionnaire-study addressing issues of informed consent in a large under-age sample
mHealth and telemedicine apps: in search of a common regulation
Developments in information and communication technology have changed the way healthcare processes are experienced by both
patients and healthcare professionals: more and more services are now available through computers and mobile devices. Smartphones are
becoming useful tools for managing one’s health, and today, there are many available apps meant to increase self-management, empowerment and quality of life. However, there are concerns about the implications of using mHealth and apps: data protection issues, concerns
about sharing information online, and the patients’ capacity for discerning effective and valid apps from useless ones. The new General
Data Protection Regulation has been introduced in order to give uniformity to data protection regulations among European countries but
shared guidelines for mHealth are yet to develop. A unified perspective across Europe would increase the control over mHealth exploitation,
making it possible to think of mHealth as effective and standard tools for future medical practice
(Predictable) Performance Bias in Unsupervised Anomaly Detection
Background: With the ever-increasing amount of medical imaging data, the
demand for algorithms to assist clinicians has amplified. Unsupervised anomaly
detection (UAD) models promise to aid in the crucial first step of disease
detection. While previous studies have thoroughly explored fairness in
supervised models in healthcare, for UAD, this has so far been unexplored.
Methods: In this study, we evaluated how dataset composition regarding
subgroups manifests in disparate performance of UAD models along multiple
protected variables on three large-scale publicly available chest X-ray
datasets. Our experiments were validated using two state-of-the-art UAD models
for medical images. Finally, we introduced a novel subgroup-AUROC (sAUROC)
metric, which aids in quantifying fairness in machine learning.
Findings: Our experiments revealed empirical "fairness laws" (similar to
"scaling laws" for Transformers) for training-dataset composition: Linear
relationships between anomaly detection performance within a subpopulation and
its representation in the training data. Our study further revealed performance
disparities, even in the case of balanced training data, and compound effects
that exacerbate the drop in performance for subjects associated with multiple
adversely affected groups.
Interpretation: Our study quantified the disparate performance of UAD models
against certain demographic subgroups. Importantly, we showed that this
unfairness cannot be mitigated by balanced representation alone. Instead, the
representation of some subgroups seems harder to learn by UAD models than that
of others. The empirical fairness laws discovered in our study make disparate
performance in UAD models easier to estimate and aid in determining the most
desirable dataset composition.Comment: 11 pages, 5 Figures, 1 pane
Gesundheitslabel: Eine Bestandsaufnahme
Die Gesundheit von Mitarbeitenden am Arbeitsplatz ist ein Thema, das vor dem Hintergrund des demografischen Wandels und der zunehmenden Forderung nach sozialer Verantwortung in ökonomischen Kontexten in vielen Industrienationen zusehends an Relevanz gewinnt. Ein klares Bekenntnis für die Mitarbeitendengesundheit stellen proaktive Programme der betrieblichen Gesundheitsförderung und des Gesundheitsmanagements dar. Für externe Unternehmen, Institutionen und ganz besonders für Endverbraucher bleiben diese Programme in der Regel allerdings intransparent. Verbraucher können die proaktive Fürsorge der Unternehmen nicht durch ihr Konsumverhalten honorieren, betrieblichen Partnern ist es nur vereinzelt möglich, kooperative Programme zu etablieren und hier Synergien zu nutzen und staatlichen Institutionen fällt es schwer, Regulierungen sinnvoll anzupassen. Vor diesem Hintergrund wurden viele in Deutschland gängige Label daraufhin überprüft, welche Einschätzung sie über die Gesundheitsförderung und das Gesundheitsmanagement des zertifizierten Unternehmens erlauben. Die Arbeit endet mit einer Evaluation der vielversprechendsten Label und einer politischen Empfehlung
Digital contact tracing and exposure notification: ethical guidance for trustworthy pandemic management
10.1007/s10676-020-09566-8Ethics and Information Technology233285-29
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