We respond to recent comments on our proposal to improve justice in ventilator triage, in which we used as an example New Jersey’s publicly available and legally binding Directive Number 2020-03. We agree with Bernard Lo and Doug White that equity implications of triage frameworks should be continually reassessed, which is why we offered six concrete options for improvement, and called for monitoring the consequences of adopted triage models. We disagree with their assessment that we mis-characterised their Model Guidance, as (...) included in the NJ Directive, in ways that undermine our conclusions. They suggest we erroneously described their model as a two-criterion allocation framework; that recognising other operant criterion reveals it ‘likely mitigate[s] rather than exacerbate[s] racial disparities during triage’, and allege that concerns about inequitable outcomes are ‘without evidence’. We highlight two major studies robustly demonstrating why concerns about disparate outcomes are justified. We also show that White and Lo seek to retrospectively—and counterfactually—correct the version of the Model Guideline included in the NJ Directive. However, as our facsimile reproductions show, neither the alleged four-criteria form, nor other key changes, such as dropping the Sequential Organ Failure Assessment score, are found in the Directive. These points matter because our conclusions hence stand, because the public version of the Model Guidance had not been updated to reduce the risk of inequitable outcomes until June 2021 and NJ’s Directive still does not reflect these revisions, and, hence, represents a less equitable version, as acknowledged by its authors. We comment on broader policy implications and call for ways of ensuring accurate, transparent and timely updates for users of high-stakes guidelines. (shrink)

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The fair distribution of health resources is critical to health justice. But distributing healthcare equitably requires careful attention to the existing distribution of other resources, and the economic system which produces these inequalities. Health is strongly determined by socioeconomic factors, such as the effects of racism on the health of communities of colour, as well as the broader market-oriented healthcare and pharmaceutical systems that put the pursuit of profit above the alleviation of suffering. Two papers in this issue confront health (...) injustices at different scales, and make far-reaching recommendations for more just healthcare allocation policies. Orphan drugs are those that pharmaceutical companies are unwilling to develop unless they are offered financial incentives to do so. When a target patient group is very small, or very poor, producing drugs is unprofitable. If patients are to benefit from these drugs in a marketised pharmaceutical regime, governments must step in to provide incentives for research and development. Yet government spending ought to prioritise value for money, and is generally guided by a utilitarian framework. In the case of neglected tropical diseases, there is no moral conflict: large numbers of people would benefit greatly from these treatments. However, there are practical limitations: the governments of affected populations are often unable to fund incentives for research and development, and solidarity from elsewhere is limited.1 2 In the case of rare diseases, Global North governments usually can afford to incentivise the development of treatments to serve their populations, but given the small numbers of beneficiaries, doing so seems a questionable use of resources. Many Global North governments make an exception to the general utilitarian heuristic to accommodate the moral intuition that the claims of a person with a rare …. (shrink)

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Five hundred adults indicated their preferences about the fairness and ethics of allocating scarce medical interventions. They also completed an IQ test, a measure of self-esteem and the extent to which they believed in a Just World, as well as General Conspiracy Theories. Results confirmed previous studies which showed a strong preference for the Utilitarian “saves most lives,” followed by the Prioritization “sickest first” and “youngest first,” preferences. Correlations and regressions indicated relatively few significant individual difference correlates of allocation preferences, (...) with IQ being the major exception. Implications and limitations are discussed. (shrink)

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