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  1. Reconciling cost-effectiveness with the rule of rescue: the institutional division of moral labour.Shepley Orr & Jonathan Wolff - 2015 - Theory and Decision 78 (4):525-538.
    Cost-effectiveness analysis suggests that a society should allocate its health care budget in order to achieve the greatest total health for its budget. However, in ‘rescue’ cases, where an individual’s life is in immediate peril, reasoning in terms of cost-effectiveness can appear inhumane. Hence considerations of cost-effectiveness and of rescue appear to be in tension. However, by attending to the division of labour in medical decision making it is possible to see how cost-effectiveness analysis and rescue-style reasoning are commonly combined (...)
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  • Public healthcare resource allocation and the Rule of Rescue.R. Cookson, C. McCabe & A. Tsuchiya - 2008 - Journal of Medical Ethics 34 (7):540-544.
    In healthcare, a tension sometimes arises between the injunction to do as much good as possible with scarce resources and the injunction to rescue identifiable individuals in immediate peril, regardless of cost (the “Rule of Rescue”). This tension can generate serious ethical and political difficulties for public policy makers faced with making explicit decisions about the public funding of controversial health technologies, such as costly new cancer drugs. In this paper we explore the appropriate role of the Rule of Rescue (...)
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  • Whose life to save? Scarce resources allocation in the COVID-19 outbreak.Chiara Mannelli - 2020 - Journal of Medical Ethics 46 (6):364-366.
    After initially emerging in China, the coronavirus (COVID-19) outbreak has advanced rapidly. The World Health Organization (WHO) has recently declared it a pandemic, with Europe becoming its new epicentre. Italy has so far been the most severely hit European country and demand for critical care in the northern region currently exceeds its supply. This raises significant ethical concerns, among which is the allocation of scarce resources. Professionals are considering the prioritisation of patients most likely to survive over those with remote (...)
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