Allocation of very scarce medical interventions such as organs and vaccines is a persistent ethical challenge. We evaluate eight simple allocation principles that can be classified into four categories: treating people equally, favouring the worst-off, maximising total benefits, and promoting and rewarding social usefulness. No single principle is sufficient to incorporate all morally relevant considerations and therefore individual principles must be combined into multiprinciple allocation systems. We evaluate three systems: the United Network for Organ Sharing points systems, (...) quality-adjusted life-years, and disability-adjusted life-years. We recommend an alternative system—the complete lives system—which prioritises younger people who have not yet lived a complete life, and also incorporates prognosis, save the most lives, lottery, and instrumental value principles. (shrink)

Glucagon-like peptide-1 (GLP-1) receptor agonists, such as semaglutide, and dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonists, such as tirzepatide, have been found to be effective for treating obesity and diabetes, significantly reducing weight and the risk or predicted risk of adverse cardiovascular events. There is a global shortage of these medications that could last several years and raises questions about how limited supplies should be allocated. We propose a fair-allocation framework that enables evaluation of the ethics of (...) current practices and could guide governments, professional societies, and physicians in allocation decisions. (shrink)

In our reply to critiques of our GLP-1 receptor agonist allocation framework, we explain that using potential years of life lost (PYLL) as a metric addresses racial health disparities without explicitly allocating resources based on race. This approach is "racism-conscious" and has legal and ethical challenges over race-based approaches. Meanwhile, though acknowledging the importance of cardiovascular risk assessment, we maintain in response to other interlocutors that focusing solely on immediate risk would ignore the broader goal of mitigating disadvantage. We (...) emphasize that our framework balances multiple ethical objectives beyond just maximizing medical benefits. (shrink)

As the federal government distributed remdesivir to some of the states COVID-19 hit hardest, policymakers scrambled to develop criteria to allocate the drug to their hospitals. Our state, Michigan, was among those states to receive an initial quantity of the drug from the U.S. government. The disparities in burden of disease in Michigan are striking. Detroit has a death rate more than three times the state average. Our recommendation to the state was that it should prioritize the communities that bear (...) a disproportionate burden of suffering in the allocation of the new potential treatment. This recommendation is justified not only for new drugs with uncertain effects, but also for drugs of certain benefit or vaccines. For states with significant health disparities, such as Michigan, this allocation priority may help to repair them. In fact, any other allocation strategy may make them worse. (shrink)

Action must be taken to combat climate change. Yet, how the costs of climate action should be allocated among states remains a question. One popular answer—the polluter-pays principle (PPP)—stipulates that those responsible for causing the problem should pay to address it. While intuitively plausible, the PPP has been subjected to withering criticism in recent years. It is timely, following the Paris Agreement, to develop a new version: one that does not focus on historical production-based emissions but rather allocates climate burdens (...) in proportion to each state’s annual consumption-based emissions. This change in carbon accounting results in a fairer and more environmentally effective principle for distributing climate duties. (shrink)

Hundreds of millions of rare biospecimens are stored in laboratories and biobanks around the world. Often, the researchers who possess these specimens do not plan to use them, while other researchers limit the scope of their work because they cannot acquire biospecimens that meet their needs. This situation raises an important and underexplored question: how should scientists allocate biospecimens that they do not intend to use? We argue that allocators should aim to maximise the social value of the research enterprise (...) when allocating scarce biospecimens. We provide an ethical framework for assessing the social value of proposed research projects and describe how the framework could be implemented. (shrink)

The U.S. FDA has issued emergency use authorizations for monoclonal antibodies for non-hospitalized patients with mild or moderate COVID-19 disease and for individuals exposed to COVID-19 as post-exposure prophylaxis. One EUA for an oral antiviral drug, molnupiravir, has also been recommended by FDA’s Antimicrobial Drugs Advisory Committee, and others appear likely in the near future. Due to increased demand because of the Delta variant, the federal government resumed control over the supply and asked states to ration doses. As future variants (...) with increased infectivity and/or severity emerge, further rationing may be required. We identify relevant ethical principles and priority groups for access to therapies based on an integrated approach to population health and medical factors. Using priority categories to allocate scarce therapies effectively operationalizes important ethical values. This strategy is preferable to the current approach of categorical rules based on vaccination, immunocompromise status, or older age, or the ad hoc consideration of clinical risk factors. (shrink)

In response to the COVID‐19 pandemic philosophers and governments have proposed scarce resource allocation guidelines. Their purpose is to advise healthcare professionals on how to ethically allocate scarce medical resources. One challenging feature of the pandemic has been the large numbers of patients needing mechanical ventilatory support. Guidelines have paradigmatically focused on the question of what doctors should do if they have fewer ventilators than patients who need respiratory support: which patient should get the ventilator? There is, however, an (...) important higher level allocation problem. Namely, how are we to ethically distribute newly obtained ventilators across hospitals: which hospital should get the ventilator(s)? In this paper, we identify a set of principles for allocating newly obtained ventilators across hospitals. We focus particularly on low and middle income countries, who frequently have limited pre‐existing intensive care capacity, and have needed to source additional ventilators. We first provide some background. Second, we argue that the main population healthcare aim during the COVID‐19 pandemic should be to save the most lives. Next, we assess a series of potential heuristics or principles that could be used to guide allocation: allocation to the most densely populated cities, random allocation, allocation based on the ratio of patients to ICU personnel, prioritisation in terms of intrahospital mortality, prioritisation of younger populations, and prioritisation in terms of population mortality. We conclude by providing a plausible ranking of the principles, while noting a number of epistemological challenges, in terms of how they best further the aim of increasing the probability of saving the most lives. (shrink)

Countermeasures for mpox (formerly known as monkeypox), primarily vaccines, have been in limited supply in many countries during outbreaks. Equitable allocation of scarce resources during public health emergencies is a complex challenge. Identifying the objectives and core values for the allocation of mpox countermeasures, using those values to provide guidance for priority groups and prioritisation tiers, and optimising allocation implementation are important. The fundamental values for the allocation of mpox countermeasures are: preventing death and illness; reducing (...) the association between death or illness and unjust disparities; prioritising those who prevent harm or mitigate disparities; recognising contributions to combating an outbreak; and treating similar individuals similarly. Ethically and equitably marshalling available countermeasures requires articulating these fundamental objectives, identifying priority tiers, and recognising trade-offs between prioritising the people at the highest risk of infection and the people at the highest risk of harm if infected. These five values can provide guidance on preferable priority categories for a more ethically sound response and suggest methods for optimising allocation of countermeasures for mpox and other diseases for which countermeasures are in short supply. Properly marshalling available countermeasures will be crucial for future effective and equitable national responses to outbreaks. (shrink)

One widely used method for allocating health care resources involves the use of cost-effectiveness analysis (CEA) to rank treatments in terms of quality-adjusted life-years (QALYs) gained. CEA has been criticized for discriminating against people with disabilities by valuing their lives less than those of non-disabled people. Avoiding discrimination seems to lead to the ’QALY trap’: we cannot value saving lives equally and still value raising quality of life. This paper reviews existing responses to the QALY trap and argues that all (...) are problematic. Instead, we argue that adopting a moderate form of prioritarianism avoids the QALY trap and disability discrimination. (shrink)

When allocating scarce healthcare resources, the expected benefits of alternative allocations matter. But, there are different kinds of benefits. Some are direct benefits to the recipient of the resource such as the health improvements of receiving treatment. Others are indirect benefits to third parties such as the economic gains from having a healthier workforce. This article considers whether only the direct benefits of alternative healthcare resource allocations are relevant to allocation decisions, or whether indirect benefits are relevant too. First, (...) we distinguish different conceptions of direct and indirect benefits and argue that only a recipient conception could be morally relevant. We analyze four arguments for thinking that indirect benefits should not count and argue that none is successful in showing that the indirectness of a benefit is a good reason not to count it. We conclude that direct and indirect benefits should be evaluated in the same way. (shrink)

Some Comments on de Melo-Martin and Harris.

In this paper, we address the moral justification problem concerning the use of age as a criterion for the allocation of scarce life-saving medical resources. We present and discuss four justifications that stand out in philosophical literature: efficiency, sufficiency, egalitarian, and prioritarian. We aim to demonstrate that all these justifications are unsatisfactory since they entail counterintuitive implications in cases involving fetuses and newborns. We then suggest another justification for the relevance of age based on the Time-Relative Interest Account of (...) the harm of death. Finally, we evaluate an objection that could limit the scope of the defended justification, leading us to draw a distinction between justification of harm and strict justification of harm. (shrink)

Reserve systems are a tool to allocate scarce resources when stakeholders do not have a single objective. This paper introduces some basic concepts about reserve systems for pandemic medical resource allocation. At the onset of the Covid-19 pandemic, we proposed that reserve systems can help practitioners arrive at compromises between competing stakeholders. More than a dozen states and local jurisdictions adopted reserve systems in initial phases of vaccine distribution. We highlight several design issues arising in some of these implementations. (...) We also offer suggestions about ways practitioners can take advantage of the flexibility offered by reserve systems. (shrink)

While there has been significant discussion in the health sciences and ethics literatures about problems associated with publication practices (e.g., ghost- and gift-authorship, conflicts of interest), there has been relatively little practical guidance developed to help researchers determine how they should fairly allocate credit for multi-authored publications. Fair allocation of credit requires that participating authors be acknowledged for their contribution and responsibilities, but it is not obvious what contributions should warrant authorship, nor who should be responsible for the quality (...) and content of the scientific research findings presented in a publication. In this paper, we review arguments presented in the ethics and health science literatures, and the policies or guidelines proposed by learned societies and journals, in order to explore the link between author contribution and responsibility in multi-author multidisciplinary health science publications. We then critically examine the various procedures used in the field to help researchers fairly allocate authorship. (shrink)

Although a safe, effective, and licensed coronavirus vaccine does not yet exist, there is already controversy over how it ought to be allocated. Justice is clearly at stake, but it is unclear what justice requires in the international distribution of a scarce vaccine during a pandemic. Many are condemning ‘vaccine nationalism’ as an obstacle to equitable global distribution. We argue that limited national partiality in allocating vaccines will be a component of justice rather than an obstacle to it. For there (...) are role-based and community-embedded responsibilities to take care of one’s own, which constitute legitimate moral reasons for some identity-related prioritisation. Furthermore, a good form of vaccine nationalism prioritises one’s own without denying or ignoring duties derived from a principle of equal worth, according to which all persons, regardless of citizenship or identity, equally deserve vaccine-induced protection from COVID-19. Rather than dismissing nationalism as a tragic obstacle, it is necessary to acknowledge that a limited form of it is valuable and expresses moral commitments. Only then can one understand our world of competing obligations, a world where cosmopolitan duties of benevolence sometimes conflict with special obligations of community membership. Once these competing obligations are recognised as such, we can begin the work of designing sound ethical frameworks for achieving justice in the global distribution of a coronavirus vaccine and developing practical strategies for avoiding, mitigating or resolving conflicts of duty. (shrink)

One hundred and ninety participants (95 undergraduates and 95 employees) responded to a factorial survey in which a number of case-based organizational allocation tasks were described. Participants were asked to imagine themselves as employees in fictitious organizations and chose among three allocations of employee development schemes invested by the manager in different work groups. The allocations regarded how such investments should be allocated between two parties. Participants chose twice, once picking the fairest and once the best allocation. One (...) between-subjects factor varied whether the parties represented social (i.e., choosing among allocations between two different work groups) or temporal comparisons (i.e., choosing among allocations between the present and the following year). Another between-subjects factor varied whether participants’ in-group was represented by the parties or not. One allocation maximized the outcome to one party, another maximized the joint outcome received by both parties, and a third provided both parties with equal but lower outcomes. It was predicted that equality, although always deficient to both parties, would be the preferred allocation when parties represented social comparisons and when choices were based on fairness. When parties represented temporal comparisons, and when choices were based on preference, maximizing the joint outcome was hypothesized to be the preferred allocation. Results supported these hypotheses. Against what was predicted, whether the in-group was represented by the parties or not did not moderate the results, indicating that participants’ allocation preferences were not affected by self-interest. The main message is that people make sensible distinctions between what they prefer and what they regard as fair. The results were the same for participating students who imagined themselves as being employees and participants who were true employees, suggesting that no serious threats to external validity are committed when university students are used as participants. (shrink)

In the first wave of the COVID-19 pandemic, healthcare workers in some countries were forced to make distressing triaging decisions about which individual patients should receive potentially life-saving treatment. Much of the ethical discussion prompted by the pandemic has concerned which moral principles should ground our response to these individual triage questions. In this paper we aim to broaden the scope of this discussion by considering the ethics of broader structural allocation decisions raised by the COVID-19 pandemic. More specifically, (...) we consider how nations ought to distribute a scarce life-saving resource across healthcare regions in a public health emergency, particularly in view of regional differences in projected need and existing capacity. We call this the regional triage question. Using the case study of ventilators in the COVID-19 pandemic, we show how the moral frameworks that we might adopt in response to individual triage decisions do not translate straightforwardly to this regional-level triage question. Having outlined what we take to be a plausible egalitarian approach to the regional triage question, we go on to propose a novel way of operationalising the ‘save the most lives’ principle in this context. We claim that the latter principle ought to take some precedence in the regional triage question, but also note important limitations to the extent of the influence that it should have in regional allocation decisions. (shrink)

Aiming at the allocation of scarce medical resources, Immanuel and other scholars have put forward a set of influential ethical values and guiding principles. It assigns the priority of resource allocation to those whose lives can be saved and maximized, those who can bring the greatest instrumental value, and those who are the worse off. For other members of society, random selection under the same conditions is adopted. Following the Rawlsian "lexical order, lexicographical" rule, this priority arrangement requires (...) that the "utilitarian principle" should be placed before the "equality principle", and the "instrumental difference principle", the "integrity difference principle" and the "fair opportunity principle" in turn acts on specific distribution agents. Although the framework and its priority rules have obvious drawbacks when faced with Medical Resources Squeeze and other dilemmas, with the help of an understanding of its internal structure, it can effectively respond to the four core issues in the allocation of scarce medical resources. (shrink)

Non‐governmental aid programs are an important source of health care for many people in the developing world. Despite the central role non‐governmental organizations play in the delivery of these vital services, for the most part they either lack formal systems of accountability to their recipients altogether, or have only very weak requirements in this regard. This is because most NGOs are both self‐mandating and self‐regulating. What is needed in terms of accountability is some means by which all the relevant stakeholders (...) can have their interests represented and considered. An ideally accountable decision‐making process for NGOs should identify acceptable justifications and rule out unacceptable ones. Thus, the point of this paper is to evaluate three prominent types of justification given for decisions taken at the Dutch headquarters of Médecins sans Frontières. They are: population health justifications, mandate‐based justifications and advocacy‐based justifications. The central question at issue is whether these justifications are sufficiently robust to answer the concerns and objections that various stakeholders may have. I am particularly concerned with the legitimacy these justifications have in the eyes of project beneficiaries. I argue that special responsibilities to certain communities can arise out of long‐term engagement with them, but that this type of priority needs to be constrained such that it does not exclude other potential beneficiaries to an undesirable extent. Finally, I suggest several new institutional mechanisms that would enhance the overall equity of decisions and so would ultimately contribute to the legitimacy of the organization as a whole. (shrink)

The COVID-19 pandemic has helped to clarify the fair and equitable allocation of scarce medical resources, both within and among countries. The ethical allocation of such resources entails a three-step process: (1) elucidating the fundamental ethical values for allocation, (2) using these values to delineate priority tiers for scarce resources, and (3) implementing the prioritisation to faithfully realise the fundamental values. Myriad reports and assessments have elucidated five core substantive values for ethical allocation: maximising benefits and (...) minimising harms, mitigating unfair disadvantage, equal moral concern, reciprocity, and instrumental value. These values are universal. None of the values are sufficient alone, and their relative weight and application will vary by context. In addition, there are procedural principles such as transparency, engagement, and evidence-responsiveness. Prioritising instrumental value and minimising harms during the COVID-19 pandemic led to widespread agreement on priority tiers to include health-care workers, first responders, people living in congregate housing, and people with an increased risk of death, such as older adults and individuals with medical conditions. However, the pandemic also revealed problems with the implementation of these values and priority tiers, such as allocation on the basis of population rather than COVID-19 burden, and passive allocation that exacerbated disparities by requiring recipients to spend time booking and travelling to appointments. This ethical framework should be the starting point for the allocation of scarce medical resources in future pandemics and other public health conditions. For instance, allocation of the new malaria vaccine among sub-Saharan African countries should be based not on reciprocity to countries that participated in research, but on maximally reducing serious illness and deaths, especially among infants and children. (shrink)

When hospitals face surges of patients with COVID-19, fair allocation of scarce medical resources remains a challenge. Scarcity has at times encompassed not only hospital and intensive care unit beds—often reflecting staffing shortages—but also therapies and intensive treatments. Safe, highly effective COVID-19 vaccines have been free and widely available since mid-2021, yet many Americans remain unvaccinated by choice. Should their decision to forgo vaccination be considered when allocating scarce resources? Some have suggested it should, while others disagree. We offer (...) a framework for evaluating when it is ethical and briefly discuss its legality in American law. (shrink)

This chapter examines how social- scientific research on public preferences bears on the ethical question of how those resources should in fact be allocated, and explain how social-scientific researchers might find an understanding of work in ethics useful as they design mechanisms for data collection and analysis. I proceed by first distinguishing the methodologies of social science and ethics. I then provide an overview of different approaches to the ethics of allocating scarce medical interventions, including an approach—the complete lives system—which (...) I have previously defended, and a brief recap of social-scientific research on the allocation of scarce medical resources. Following these overviews, I examine different ways in which public preferences could matter to the ethics of allocation. Last, I suggest some ways in which social scientists could learn from ethics as they conduct research into public preferences regarding the allocation of scarce medical resources. (shrink)

The coronavirus disease 2019 (COVID-19) pandemic has motivated medical ethicists and several task forces to revisit or issue new guidelines on allocating scarce medical resources. Such guidelines are relevant for the allocation of scarce therapeutics and vaccines and for allocation of ICU beds, ventilators, and other life-sustaining treatments or potentially scarce interventions. Principles underlying these guidelines, like saving the most lives, mitigating disparities, reciprocity to those who assume additional risk (eg, essential workers and clinical trial participants), and equal (...) access may compete with one another. We propose the use of a “categorized priority system” (also known as a “reserve system”) as an improvement over existing allocation methods, particularly because it may be able to achieve disparity mitigation better than other methods. (shrink)

Should priority in the allocation of organs be given to those who have previously donated or declared their willingness to do so? This article examines the Israeli priority rule in light of two prominent critiques of priority rules, pertaining to failure to reciprocate and unfairness. The scope and content of these critiques are interpreted from the perspective of equality of opportunity. Because the Israeli priority rule may be reasonably criticized for unfairness and failing to reward certain behaviors, the article (...) develops an adjusted priority rule, which removes and adjust the elements in the Israeli priority rule deemed problematic. However, such a priority rule is complex to the extent that it may fail to increase donation rates and furthermore introduce new concerns of fairness, as the better off may be better able to navigate the complex adjusted priority rule. (shrink)

Accelerated computing leverages specialized hardware and software techniques to optimize the performance of computationally intensive tasks, offering significant speed-ups in scientific, engineering, and data-driven fields. This paper presents a comprehensive study examining the role of accelerated computing in enhancing processing capabilities and reducing execution times in diverse applications. Using a custom-designed experimental framework, we evaluated different methodologies for parallelization, GPU acceleration, and CPU-GPU coordination. The aim was to assess how various factors, such as data size, computational complexity, and task concurrency, (...) impact processing efficiency. (shrink)

When life-saving medical resources are scarce and not everyone can be saved, is the only relevant goal saving the most lives? Or can other factors be considered, at least as tiebreakers, such as how early in life the people we don't save will die or how much future life they are likely to lose? This commentary defends a multiprinciple allocation approach that considers objectives in addition to saving more lives, including preventing early death and preventing harm in the form (...) of lost future life. Particularly compared to an arbitrary, coin-flip tiebreaker, this multiprinciple approach more effectively prevents harm, prioritizes the worst-off, mitigates socioeconomic and racial health disparities, and tracks public values regarding allocation under scarcity—and is legally sound. -/- . (shrink)

The concept of distributed moral responsibility (DMR) has a long history. When it is understood as being entirely reducible to the sum of (some) human, individual and already morally loaded actions, then the allocation of DMR, and hence of praise and reward or blame and punishment, may be pragmatically difficult, but not conceptually problematic. However, in distributed environments, it is increasingly possible that a network of agents, some human, some artificial (e.g. a program) and some hybrid (e.g. a group (...) of people working as a team thanks to a software platform), may cause distributed moral actions (DMAs). These are morally good or evil (i.e. morally loaded) actions caused by local interactions that are in themselves neither good nor evil (morally neutral). In this article, I analyse DMRs that are due to DMAs, and argue in favour of the allocation, by default and overridably, of full moral responsibility (faultless responsibility) to all the nodes/agents in the network causally relevant for bringing about the DMA in question, independently of intentionality. The mechanism proposed is inspired by, and adapts, three concepts: back propagation from network theory, strict liability from jurisprudence and common knowledge from epistemic logic. (shrink)

Objective: A deep understanding of the relationship between a scarce drug's dose and clinical response is necessary to appropriately distribute a supply-constrained drug along these lines. Summary of key data: The vast majority of drug development and repurposing during the COVID-19 pandemic – an event that has made clear the ever-present scarcity in healthcare systems –has been ignorant of scarcity and dose optimisation's ability to help address it. Conclusions: Future pandemic clinical trials systems should obtain dose optimisation data, as these (...) appear necessary to enable appropriate scarce resource allocation according to societal values. (shrink)

Shortages of new therapeutics to treat coronavirus disease (COVID-19) have forced clinicians, public health officials, and health systems to grapple with difficult questions about how to fairly allocate potentially life-saving treatments when there are not enough for all patients in need (1). Shortages have occurred with remdesivir, tocilizumab, monoclonal antibodies, and the oral antiviral Paxlovid (2) -/- Ensuring equitable allocation is especially important in light of the disproportionate burden experienced during the COVID-19 pandemic by disadvantaged groups, including Black, Hispanic/Latino (...) and Indigenous communities, individuals with certain disabilities, and low-income persons. However, many health systems have resorted to first-come, first-served approaches to allocation, which tend to disadvantage individuals with barriers in access to care (3). There is mounting evidence of racial, ethnic, and socioeconomic disparities in access to medications for COVID-19 (4, 5). -/- One potential method to promote equitable allocation is to use a weighted lottery, which is an allocation strategy that gives all eligible patients a chance to receive the scarce treatment while also allowing the assignment of higher or lower chances according to other ethical considerations (6). We sought to assess the feasibility of implementing a weighted lottery to allocate scarce COVID-19 medications in a large U.S. health system and to determine whether the weighted lottery promotes equitable allocation. (shrink)

The increasing application of artificial intelligence (AI) to healthcare raises both hope and ethical concerns. Some advanced machine learning methods provide accurate clinical predictions at the expense of a significant lack of explainability. Alex John London has defended that accuracy is a more important value than explainability in AI medicine. In this article, we locate the trade-off between accurate performance and explainable algorithms in the context of distributive justice. We acknowledge that accuracy is cardinal from outcome-oriented justice because it helps (...) to maximize patients’ benefits and optimizes limited resources. However, we claim that the opaqueness of the algorithmic black box and its absence of explainability threatens core commitments of procedural fairness such as accountability, avoidance of bias, and transparency. To illustrate this, we discuss liver transplantation as a case of critical medical resources in which the lack of explainability in AI-based allocation algorithms is procedurally unfair. Finally, we provide a number of ethical recommendations for when considering the use of unexplainable algorithms in the distribution of health-related resources. (shrink)

The federal system for allocating donated livers in the United States is often criticized for allowing geographic disparities in access to livers. Critics argue that such disparities are unfair on the grounds that where one lives is morally arbitrary and so should not influence one's access to donated livers. They argue instead that livers should be allocated in accordance with the equal opportunity principle, according to which US residents who are equally sick should have the same opportunity to receive a (...) liver, regardless of where they live. In this paper, we examine a central premise of the argument for the equal opportunity principle, namely, that geographic location is a morally arbitrary basis for allocating livers. We raise some serious doubts regarding the truth of this premise, arguing that under certain conditions, factors closely associated with geographic location are relevant to the allocation of livers, and so that candidates' geographic location is sometimes a morally non-arbitrary basis for allocating livers. Geographic location is morally non-arbitrary, we suggest, since by taking it into account, the UNOS may better fulfill its central goals of facilitating the effective and efficient placement of organs for transplantation and increasing organ donation. (shrink)

William Smith’s recent article criticises the so-called orthodox approaches to the normative analysis of healthcare resource allocation, associated to the requirement that decision-makers should abide by strictly procedural principles of legitimacy defining a deliberative democratic process. Much of the appeal of Smith’s argument goes down to his awareness of real-world processes and, in particular, to the large gap he identifies between well-led democratic deliberation and the messiness of the process through which the intuitively legitimate Affordable Care Act (ACA) was (...) created. This reply aims to demonstrate that the ACA provides no counterexample to orthodox views, seizing this opportunity to explore the specific space that the procedural principles populating orthodox accounts are meant to regulate. Neither general questions of healthcare justice concerning, for example, universal access nor, relatedly, the activity of elected politicians falls within the natural scope of application of such principles, revealing a much more complex picture of the interactions between justice and legitimacy as well as substantive and procedural considerations than acknowledged by Smith. In the end, orthodox accounts of healthcare resource allocation turn out to provide a precious fund of theoretical resources for the normative study of administrators, which might be useful well beyond bioethics and health policy. (shrink)

In this paper I analyze a view that is increasingly spreading among philosophers and even physicians. Many of them believe that it is right to apply the principle of responsibility for illness in the allocation of health care. I attempt to show that this idea is unacceptable.

Christian Munthe, David Fumagalli and Erik Malmqvist argue that well-known healthcare resource allocation principles, such as need, prognosis, equal treatment and cost-effectiveness, should be supplemented with a principle of sustainability.1 Employing such a principle would entail that the allocation of healthcare resources should take into account whether a specific allocation causes negative dynamics, which would limit the amount of resources available in the future. As examples of allocation decisions, which may have such negative dynamics, they mention (...) those who cause a lack of vaccines, anti-bioethics resistance and drug shortages. Thus, the overall thought is that we can spend and allocate healthcare resources in a certain way at t1, which means that we will have fewer resources available at a later point, t2. The authors argue that we should include a principle of sustainability to justify allocations, which avoids or diminishes the negative dynamics. The authors argue that existing principles cannot sufficiently include proper regard for how our current decisions affect future allocation decisions and, therefore, the people who need healthcare resources in the future. I am sympathetic to the developed argument and believe that the authors are correct that negative dynamics provide reasons to take our ability to meet future health needs …. (shrink)

The importance of education in boosting the manpower of an economy cannot be overemphasized. This critical sector has been bastardized, relegated and put in a dust bin position through paltry figures usually allocated to it by the Federal Government of Nigeria. This paper presents a holistic trend of budgetary activities in Nigeria with a particular focus on the allocation to the Education sector using times series approach from 2009-2018. Two research questions were answered using secondary data gathered from the (...) Central Bank of Nigeria's Statistical Bulletin, 2018. Collected data were analyzed using descriptive statistics, while the results of the analysis showed that, the total allocation to the education sector from 2009 – 2018 is N4,038,115,000,000. The results further revealed a difference of N 10,311,805,000,000 between UNESCO benchmark of 26% and the actual allocation to the education sector for the same time period. It was concluded that the total allocation made to the education sector within the time period of 2009-2018 is generally low, and below the UNESCO benchmark. Based on the findings, it was recommended amongst others that the Federal Government of Nigeria should adequately fund the educational sector by allocating at least 26% of her budget to the education sector as prescribed by UNESCO. (shrink)

These days, Thin-client devices are continuously accessing the Internet to perform/receive diversity of services in the cloud. However these devices might either has lack in their capacity (e.g., processing, CPU, memory, storage, battery, resource allocation, etc) or in their network resources which is not sufficient to meet users satisfaction in using Thin-client services. Furthermore, transferring big size of Big Data over the network to centralized server might burden the network, cause poor quality of services, cause long respond delay, and (...) inefficient use of network resources. To solve this issue, Thinclient devices such as smart mobile device should be connected to edge computing which is a localized near to user location and more powerful to perform computing or network resources. In this paper, we introduce a new method that constructs its architecture on Thin-client -edge computing collaboration. Furthermore, present our new strategy for optimizing big data distribution in cloud computing. Moreover, we propose algorithm to allocate resources to meet Service Level Agreement (SLA) and Quality of Service (QoS) requirements. Our simulation result shows that our proposed approach can improve resource allocation efficiently and shows better performance than other existing methods. (shrink)

Forms of Artificial Intelligence (AI) are already being deployed into clinical settings and research into its future healthcare uses is accelerating. Despite this trajectory, more research is needed regarding the impacts on patients of increasing AI decision making. In particular, the impersonal nature of AI means that its deployment in highly sensitive contexts-of-use, such as in healthcare, raises issues associated with patients’ perceptions of (un) dignified treatment. We explore this issue through an experimental vignette study comparing individuals’ perceptions of being (...) treated in a dignified and respectful way in various healthcare decision contexts. Participants were subject to a 2 (human or AI decision maker) x 2 (positive or negative decision outcome) x 2 (diagnostic or resource allocation healthcare scenario) factorial design. We found evidence of a “human bias” (i.e., a preference for human over AI decision makers) and an “outcome bias” (i.e., a preference for positive over negative outcomes). However, we found that for perceptions of respectful and dignified interpersonal treatment, it matters more who makes the decisions in diagnostic cases and it matters more what the outcomes are for resource allocation cases. We also found that humans were consistently viewed as appropriate decision makers and AI was viewed as dehumanizing, and that participants perceived they were treated better when subject to diagnostic as opposed to resource allocation decisions. Thematic coding of open-ended text responses supported these results. We also outline the theoretical and practical implications of these findings. (shrink)

Currently, the situation regarding funding for scientific research activities at some universities is still limited, with investment being small and scattered. This issue was raised by Associate Professor Dinh Minh Hang, Head of the International Administration Department, during a dialogue session with Minister of Education and Training Nguyen Kim Son on August 15th .

This thesis discusses how societies should allocate clinical care resources. The first aim of the thesis is to defend the idea that clinical care resource allocation is a matter for deliberative democratic procedures. I argue that deliberative democracy is justified because of its ability to implement equal respect and autonomy. Furthermore, I address several in-principle objections to the project of applying deliberative democracy to clinical care resource allocation. Most notably, I respond to the narrow view of the scope (...) of deliberative democracy and the critiques of explicit rationing. -/- The second aim of the thesis is to determine what is required by deliberative democracy in clinical care resource allocation. I identify the general requirements that resource allocation agencies should meet, namely public reason, public involvement, transparency, accuracy and revisability. I then examine what is required by deliberative democracy with regard to two particularly salient specific topics, namely the substantive values that should govern resource allocation and the involvement of scientific experts in decision-making. -/- I demonstrate that public reason imposes severe constraints on the substantive values that should be employed. Most of these constraints are rooted in the idea that, under a regime of scarcity, public reason requires that resources be allocated so as to minimise the strongest complaint anyone may have. Out of the variety of values that are commonly proposed as relevant, only priority to the worst-off, ability to benefit, specialness of clinical care and cost are consistent with public reason. Turning to expert involvement, I argue that deliberative democracy can overcome several formidable threats, such as the opacity of expert opinions to laypersons and the tendency to hide uncertainty and disagreement from the public. I also discuss how my proposals on substantive values and expert involvement could be implemented, in order to add to the plausibility of my theory. (shrink)

In this article, we propose the Fair Priority Model for COVID-19 vaccine distribution, and emphasize three fundamental values we believe should be considered when distributing a COVID-19 vaccine among countries: Benefiting people and limiting harm, prioritizing the disadvantaged, and equal moral concern for all individuals. The Priority Model addresses these values by focusing on mitigating three types of harms caused by COVID-19: death and permanent organ damage, indirect health consequences, such as health care system strain and stress, as well as (...) economic destruction. It proposes proceeding in three phases: the first addresses premature death, the second long-term health issues and economic harms, and the third aims to contain viral transmission fully and restore pre-pandemic activity. -/- To those who may deem an ethical framework irrelevant because of the belief that many countries will pursue "vaccine nationalism," we argue such a framework still has broad relevance. Reasonable national partiality would permit countries to focus on vaccine distribution within their borders up until the rate of transmission is below 1, at which point there would not be sufficient vaccine-preventable harm to justify retaining a vaccine. When a government reaches the limit of national partiality, it should release vaccines for other countries. -/- We also argue against two other recent proposals. Distributing a vaccine proportional to a country's population mistakenly assumes that equality requires treating differently situated countries identically. Prioritizing countries according to the number of front-line health care workers, the proportion of the population over 65, and the number of people with comorbidities within each country may exacerbate disadvantage and end up giving the vaccine in large part to wealthy nations. (shrink)

In many countries, the COVID‐19 pandemic varied starkly between different racial and ethnic groups. Before vaccines were approved, some considered assigning priority access to worse‐hit racial groups. That debate can inform rationing in future pandemics and in some of the many areas outside COVID‐19 that admit of racial health disparities. However, concerns were raised that “race‐responsive” prioritizations would be ruled unlawful for allegedly constituting wrongful discrimination. This legal argument relies on an understanding of discrimination law as demanding color‐blindness. We argue (...) that a, color‐blind understanding of discrimination would be hostile only to one of two rationales for prioritizing the relevant racial minorities in settings of racial health disparities. We also propose a method for incorporating appropriate race‐responsive concerns that is in many ways ethically and legally superior to ones suggested thus far. That method turns artificial intelligence, thanks precisely to its artificial and “black box” nature (features that underlie recent concerns about artificial intelligence's discriminatory potential), into an instrument of social justice. (shrink)

Abstract: One of the most contentious challenges facing the Nigerian federal experiment today is that of revenue allocation. Right from the colonial era till present, finding an acceptable revenue formula has remained intractable as the various attempts have not gained wide acceptance. This paper chronicles the various revenue commissions in Nigeria and the formulae derived there from. Data for the paper were mainly from secondary sources. The theoretical nerve of the paper is based on the nature of intergovernmental fiscal (...) relations. The findings indicate that the derivation principle has been the main bone of contention since the discovery of oil in Nigeria. Based on this, the paper recommends a serious restructuring of the Nigerian federation to grant the various component units enough autonomy to develop at their own pace, while economic viability should be the main basis for creation of states and local governments. These states and local governments should also be encouraged to develop other revenue sources outside oil, and finally the issue of revenue allocation should be made open for all Nigerians to contribute in the true spirit of democracy. (shrink)

According to the sufficiency theory of justice in health, justice requires that people have equal access to adequate health. In this article, I lay out the structure of this view and I assess its distributive implications for setting priority (i) between health needs across persons and (ii) between health care spending and other societal goods. I argue, first, that according to the sufficiency theory, deficiency in health cannot be completely offset by providing other societal goods. And, second, that it can (...) prevent the medicalization of societies by stressing that improvements beyond the level of adequate health have relatively little weight, if any, from the standpoint of justice. (shrink)

This thesis under the title “Public Health Policy in Resource Allocation: the Role of Ubuntu Ethics in Redressing Resource Disparity between Public and Private Healthcare in South Africa” explores health care disparities pertaining to resource allocation between public and private sector. It is of relevance and importance in South Africa where 54% of the population live on less than US$3 per day. Although the government has instituted certain changes aimed at transforming the public health care system, the resource (...) allocation gap between the two persists and remains wide. The research gives special attention to the role that Ubuntu ethics can play in redressing the resource allocation disparities between public and private health care sectors in South Africa, pointing out the existing gap in financing, as well as human resource between public and private health care sectors, which leads to poor health outcomes in public sector. Therefore, the problem is the prevalent inequality of resource allocation between private and public health care sectors. The analysis of policy gaps, as well as evaluating the cause of disparities in the health system is the goal of this research. The study endeavours to redress the disparities within the context of Ubuntu ethical principles and proposes a change in public policy so as to enhance healthcare for the benefit of the people. The study is philosophical and ethical, so the methodology used is discursive in nature, majorly focusing on critically reviewing existing literature, that is, the philosophical resources on Ubuntu ethics and justice theories as well as a range of government resources inclusive of public health policy documents. Social determinants of health and their impact in a South African context are discussed with the implication that health is not merely freedom from disease and or incapacity, but rather being well mentally, physically and socially. The attainment of a healthy status goes beyond ability to access healthcare services, and incorporates social determinants including but not limited to conditions in which people have been born into, stay, establish career and grow old in. It also includes the arrangements put in place to deal with illness and determine health. Issues of revenue, literacy, communal safety networks, vocation and conditions under-which vocation is undertaken, lack of work and vocation insecurity, early stages of human development, gender, cultural group, dietary insecurity, housing communal exclusion and disability all come into the picture as factors that determine health. But there is also discussion of the socio-economic status as contributors to health inequity wherein alcohol abuse, sugar intake, and smoking are identified as behavioural factors that complicate public health. One outstanding feature of this research is that it establishes a link between Ubuntu and public health policy. The researcher establishes that Ubuntu ethics is appropriate for not only discussing public morality, but also for formulating public policy that is morally tenable for South Africa, especially for the public health sector. This thesis calls for an application of Ubuntu in a proper context in order to enhance societal well-being for the benefit of many, if not all. The research proposes the fundamental principle of Ubuntu ethics in which the good of the community is as important as the good of every member of the community. Since Ubuntu ethics does not merely seek to fulfil what benefits the majority, as would be the case in a utilitarian society, the researcher advocates for the building of consensus on the common good, which should be understood to imply not just what is good for everyone in the community, but also what is good for the continued well-being of the community as a single unit. In this regard, the research finds it important that deliberate effort be made to integrate Ubuntu ethics into policies, citing the example of the National Health Insurance (NHI). The good health of all the members of a community is an assurance of the well-being and continuity of the whole national community. The research concludes that public health policy should integrate Ubuntu ethical values such as community, sharing, care, solidarity, identity, harmony, respect, and dignity into policy documents and legislation. (shrink)

After three decades in which needs, rights and egalitarianism have dominated the moral agenda among supporters of social housing, desert is making a controversial come-back. I argue that desert as a moral concept is useful but is secondary to other moral forces, rather than being a primary driving force itself. Its job is to allow us to factor responsibility into our moral interactions with others. Desert suffers from having kept bad company, and I outline the still resonant history of the (...) abuse of the concept when it was dominant in housing and other “poor relief”, but argue this should not blind us to its force. If we have a moral duty to provide social housing assistance, whether on the basis of need, rights or egalitarianism (but not pure utilitarianism), I argue that desert does have a legitimate limited role to play in adjusting the primary duty governing the allocation of that assistance. There are practical difficulties of restraining abuse of the concept of desert. But these are outweighed by the practical problems in ignoring it, as that can bring an allocation system into disrepute as well as leaving us unable to argue convincingly for appropriate restraint, rather than eradication, of the use of desert. (shrink)

Chapter 25 of the Philosophy of Happiness book by Martin Janello. Please see the Table of Contents for its contextual order. An audio version of this and all other sections of the book, an entire on-line review copy, and a host of other pertinent materials are available without charge at the referenced website.

On edge computing, mobile devices can offload some computing intensive tasks to the cloud so that the time delay and battery losses can be reduced. Different from cloud computing, an edge computing model is under the constraint of radio transmitting bandwidth, power and etc. With regard to most models in presence, each user is assigned to a single mission, transmitting power or local CPU frequency on mobile terminals is deemed to be a constant. Furthermore, energy consumption has a positive correlation (...) with the above two parameters. In a context of multitask, such values could be increased or reduced according to workload to save energy. Additionally, the existing offloading methods are inappropriate if all the compute densities of multiple tasks are high. In this paper, a single-user multi-task with high computing density model is proposed and partial task is offloaded when use the different offload algorithm. Simulated annealing algorithm is the best method to select offloading tasks, which can enhance the offloading ratio and save energy consumption. (shrink)