Some Comments on de Melo-Martin and Harris.

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)

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)

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)

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)

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 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

For a long time discussion about scarce health care resource allocation was limited to allocation of medical resources, with the paradigmatic case being kidney transplants. However, a narrow focus on medical resources prevents us from seeing that there are many cases-- perhaps the majority-- in which less dramatic but equally important issues of rationing occur. The allocation of nurses' time is one such issue.

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)

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)

How can we allocate scarce health care resources justly? In particular, are markets the most efficient way to deliver health services? Much blood, sweat and ink has been shed over this issue, but rarely has either faction challenged the unspoken assumption behind the claim made by advocates of markets: that efficiency advances the interests of both individuals and society. Whether markets actually do increase efficiency is arguably a matter for economists, but the deeper ethical question is whether efficiency is the (...) correct criterion, in terms of social justice and individual needs. (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)

We consider an ethical dilemma in global health: is it ethically acceptable to provide some patients cheaper treatments that are less effective or more toxic than the treatments other patients receive? We argue that it is ethical to consider local resource constraints when deciding what interventions to provide. The provision of cheaper, less effective health care is frequently the most effective way of promoting health and realizing the ethical values of utility, equality, and priority to the worst off.

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)

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.

Inequality is an effect of much concern for economists and policy makers. Inequality gives rise to poverty, a phenomenon still troubling the world economy, characterized by a gap wherein the standard deviation between the rich and the poor is too high. Various factors are attributed to the growing inequality, but one which is often overlooked is misallocation of knowledge resources. In this paper, we reinforce the concept of knowledge as being a capital resource. Following this, by using a simple (...) model, we attempt to explain inequality borne out of its heterogeneous allocation and its discrete nature of distribution as a capital resource. The effect being that, lack of access to quality education for those who need it most creates a phenomenon which we call Knowledge Resource Inequality (KRI). (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)

Recently theorists have demonstrated a growing interest in the ethical aspects of resource allocation in international non-governmental humanitarian, development and human rights organizations (INGOs). This article provides an analysis of Thomas Pogge's proposal for how international human rights organizations ought to choose which projects to fund. Pogge's allocation principle states that an INGO should govern its decision making about candidate projects by such rules and procedures as are expected to maximize its long-run cost-effectiveness, defined as the expected (...) aggregate moral value of the projects it undertakes divided by the expected aggregate cost of these projects? I critique Pogge's argument on two fronts: (1) I demonstrate that his view is problematic on his own terms, even if we accept the cost-effectiveness framework he employs. (2) I take issue with his overall approach because it generates results which can undermine the integrity of INGOs. Further, his approach mis-characterizes the nature of INGOs, and this mistake is at the root of his problematic view of INGO priority-setting. Ultimately, I argue for a conception of INGOs in which they are understood as ?organizations of principle?, in the sense that they are independent moral agents and so should be permitted a fairly wide sphere of autonomy within reasonable moral constraints. (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)

Throughout the COVID-19 pandemic, shortages of scarce healthcare resources consistently presented significant moral and practical challenges. While the importance of vaccines as a key pharmaceutical intervention to stem pandemic scarcity was widely publicized, a sizable proportion of the population chose not to vaccinate. In response, some have defended the use of vaccination status as a criterion for the allocation of scarce medical resources. In this paper, we critically interpret this burgeoning literature, and describe a framework for thinking about vaccine-sensitive (...) resource allocation using the values of responsibility, reciprocity, and justice. Although our aim here is not to defend a single view of vaccine-sensitive resource allocation, we believe that attending critically with the diversity of arguments in favor (and against) vaccine-sensitivity reveals a number of questions that a vaccine-sensitive approach to allocation should answer in future pandemics. (shrink)

In discussions about responsibility for climate change, it is often suggested that the historical use of natural resources is in some way relevant to our current attempts to address this problem fairly. In particular, both theorists and actors in the public realm have argued that historical high-emitters of greenhouse gases (GHGs) – or the beneficiaries of those emissions – are in possession of some form of debt, deriving from their overuse of a natural resource that should have been shared (...) more equitably. These accounts of what might be termed ‘natural debt’ generally focus on one particular natural resource (global GHG sink capacity); invoke a principle of justice by which rights to consume this resource should have been allocated (most commonly, equal per capita shares); and then argue that historical violations of this principle give rise to certain rectificatory duties in the present (generally, duties on the part of those who have historically consumed an excessive amount of the world’s GHG sink capacity, or who have benefitted from such excess consumption, to offer some form of compensation to those who have not – such compensation usually taking the form of emission credits or cash). Though many seem to find it intuitively plausible that historical high-emissions have incurred some form of debt, significant challenges arise in rendering the concept of natural debt both coherent and defensible. Such problems are not, however, my focus in this piece. Instead, I here suggest that discussions about historical responsibility for climate change commonly fail to recognise certain other past injustices concerning natural resources that appear to hold contemporary relevance. In particular, I argue that it is not just the unequal consumption of global GHG sink capacity that may be of moral significance here; but also the way in which the world’s resources have more generally been governed. (shrink)

Norman Daniels’s theory of ‘accountability for reasonableness’ is an influential conception of fairness in healthcare resource allocation. Although it is widely thought that this theory provides a consistent extension of John Rawls’s general conception of justice, this paper shows that accountability for reasonableness has important points of contact with both utilitarianism and intuitionism, the main targets of Rawls’s argument. My aim is to demonstrate that its overlap with utilitarianism and intuitionism leaves accountability for reasonableness open to damaging critiques. (...) The important role that utilitarian-like cost-effectiveness calculations are allowed to play in resource allocation processes disregards the separateness of persons and is seriously unfair towards individuals whose interests are sacrificed for the sake of groups. Furthermore, the function played by intuitions in settling frequent value conflicts opens the door for sheer custom and vested interests to steer decision-making. (shrink)

This capstone is centered around the development of an efficient electronic property inventory system tailored for school assets, driven by the overarching objective of resource optimization to ensure equitable access to vital materials for all learners. The methodology follows the “ISSO” framework (Ignite, Strategize, Systematize, Operationalize), complemented by a Logical Framework. The project employs a homegrown digitalized system constructed through a waterfall model approach, which undergoes alpha and beta testing. The study’s analysis utilizes a t-Test to evaluate its impact. (...) The outcomes reveal that real-time property monitoring significantly enhances custodianship, while digitalization yields improvements in reliability, efficiency, and usability, effectively overhauling the conventional inventory process. The electronic system fosters stakeholder engagement, supporting communication, budget allocation, and audits. Comparative testing demonstrates clear advantages over traditional manual methods. In conclusion, this study underscores the merits of a refined electronic property inventory system. Notably, the research suggests a need for careful consideration of process complexities in outsourcing decisions and showcases the swift, precise, and transparent accounting provided by e-AIMSS deployments, thereby nurturing transparency and public confidence. This innovative approach holds promise for broader application within the realm of e-government processes. (shrink)

Server-less computing, also known as Function as a Service (FaaS), revolutionizes cloud architecture by allowing developers to focus on code and functionality without managing underlying infrastructure. This paradigm enhances resource management efficiency by dynamically allocating resources only when needed, thus optimizing cost and performance. Server-less models, epitomized by platforms like AWS Lambda, Google Cloud Functions, and Azure Functions, provide automatic scaling and fine-grained billing, making them ideal for applications with variable workloads. While challenges such as cold start latency and (...) complex debugging exist, the benefits of server-less computing—including cost savings, simplified deployment, and accelerated innovation—make it a transformative approach in the cloud computing landscape. This paper explores the principles, benefits, challenges, and practical applications of server-less computing in modern cloud architectures, highlighting its potential to drive efficiency and innovation. (shrink)

Most public and non-profit organisations that fund health research provide the majority of their funding in the form of grants. The calls for grant applications are often untargeted, such that a wide variety of applications may compete for the same funding. The grant review process therefore plays a critical role in determining how limited research resources are allocated. Despite this, little attention has been paid to whether grant review criteria align with widely endorsed ethical criteria for allocating health research resources. (...) Here, we analyse the criteria and processes that ten of the largest public and non-profit research funders use to choose between competing grant applications. Our data suggest that research funders rarely instruct reviewers to consider disease burden or to prioritise research for sicker or more disadvantaged populations, and typically only include scientists in the review processes. This is liable to undermine efforts to link research funding to health needs. (shrink)

Coronavirus disease 2019 can lead to respiratory failure. Some patients require extracorporeal membrane oxygenation support. During the current pandemic, health care resources in some cities have been overwhelmed, and doctors have faced complex decisions about resource allocation. We present a case in which a pediatric hospital caring for both children and adults seeks to establish guidelines for the use of extracorporeal membrane oxygenation if there are not enough resources to treat every patient. Experts in critical care, end-of-life care, (...) bioethics, and health policy discuss if age should guide rationing decisions. (shrink)

We present a vignette study conducted with a quota sample of the German population (n = 400). Subjects had to redistribute a good between two hypothetical persons who contributed equally to the available amount but differed in quantity needed and the reason for their neediness. On a within-subjects level, we tested for the effects of need, accountability, and resource availability on their third-party distribution decisions. Between subjects, we further varied the kinds of needs: The persons either needed the good (...) as a means to survive, to live a decent life, to participate in society, or to be autonomous. Despite equal productivity, the mean share allocated to the needier person was significantly higher than an equal share. However, this share turned out significantly smaller when the needier person was accountable for needing more than the other. Nonetheless, even if accountable, the needier person still got a share larger than their contribution would suggest. When there was a surplus of resources, the needier person got an even higher share than when resources were scarce. (shrink)

Proposals for allocating scarce lifesaving resources in the face of the Covid-19 pandemic have aligned in some ways and conflicted in others. This paper attempts a kind of priority setting in addressing these conflicts. In the first part, we identify points on which we do not believe that reasonable people should differ—even if they do. These are (i) the inadequacy of traditional clinical ethics to address priority-setting in a pandemic; (ii) the relevance of saving lives; (iii) the flaws of first-come, (...) first-served allocation; (iv) the relevance of post-episode survival; (v) the difference between age and other factors that affect life-expectancy; and (vi) the need to avoid quality-of-life judgments. In the second part, we lay out some positions on which reasonable people can and do differ. These include (i) conflicts between maximizing benefits and priority to the worst off; (ii) role-based priority; and (iii) whether patients’ existing lifesaving resources should be subject to redistribution. (shrink)

We show that linear logic can serve as an expressive framework in which to model a rich variety of combinatorial auction mechanisms. Due to its resource-sensitive nature, linear logic can easily represent bids in combinatorial auctions in which goods may be sold in multiple units, and we show how it naturally generalises several bidding languages familiar from the literature. Moreover, the winner determination problem, i.e., the problem of computing an allocation of goods to bidders producing a certain amount (...) of revenue for the auctioneer, can be modelled as the problem of finding a proof for a particular linear logic sequent. (shrink)

Common principles for resource allocation in health care can prioritize the alleviation of small health burdens over lifesaving treatment. I argue that there is some evidence that these principles are at odds with a sizable share of public opinion, which holds that saving a life should take priority over any number of cures for minor ailments. I propose two possible explanations for this opinion, one debunking and one vindicatory. I also outline how well-designed surveys and moral inquiry could (...) help decide between them. Finally, I consider how priority-setting principles could be adjusted if the view that saving a life always trumps alleviating small burdens were vindicated. (shrink)

Several influential organisations have attempted to quantify the costs and benefits of expanding access to interventions-like contraceptives-that are expected to decrease the number of pregnancies. Such health economic evaluations can be invaluable to those making decisions about how to allocate scarce resources for health. Yet how the benefits should be measured depends on controversial value judgments. One such value judgment is found in recent analyses from the Disease Control Priority Network (DCPN) and the Study Group for the Global Investment Framework (...) for Women's and Children's Health. Noting the decrease in the number of pregnancies expected to result from providing access to family planning, DCPN and the Study Group claim that a substantial benefit of such interventions is averting the stillbirths and child deaths that would have resulted from those pregnancies. We argue that health economic analyses should not count such averted deaths as benefits in the same way as saved lives. First, by counting averted stillbirths and child deaths as a benefit but not counting as a cost the lives of babies who survive, DCPN and the Study Group implicitly commit themselves to antinatalism. Second, this method for calculating the benefits of family planning interventions implies that infertility treatments are harmful. Determining how potential people should be treated in health economic analyses will require grappling with population ethics. (shrink)

BackgroundViral pandemics present a range of ethical challenges for policy makers, not the least among which are difficult decisions about how to allocate scarce healthcare resources. One important question is whether healthcare workers should receive priority access to a vaccine in the event that an effective vaccine becomes available. This question is especially relevant in the coronavirus pandemic with governments and health authorities currently facing questions of distribution of COVID-19 vaccines.Main textIn this article, we critically evaluate the most common ethical (...) arguments for granting healthcare workers priority access to a vaccine. We review the existing literature on this topic, and analyse both deontological and utilitarian arguments in favour of HCW prioritisation. For illustrative purposes, we focus in particular on the distribution of a COVID-19 vaccine. We also explore some practical complexities attendant on arguments in favour of HCW prioritisation.ConclusionsWe argue that there are deontological and utilitarian cases for prioritising HCWs. Indeed, the widely held view that we should prioritise HCWs represents an example of ethical convergence. Complexities arise, however, when considering who should be included in the category of HCW, and who else should receive priority in addition to HCWs. (shrink)