医疗保健优先级设定中的严重性和时间性--特定病症可影响时间的中性方法案例。

IF 1.8 3区 哲学 Q2 ETHICS
Lars Sandman, Niklas Juth
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引用次数: 0

摘要

确定医疗保健领域稀缺资源的优先次序是大多数医疗保健系统的重要议程,这意味着需要为做出公平分配的决定奠定坚实的基础。根据经验研究和理论分析,在以需求为基础的系统中,此类决策的一个核心因素是严重程度。然而,人们注意到,严重程度是一个理论化程度不高的概念。其中一个方面就是严重性与时间性的关系。关于时间性和分配公正的讨论非常丰富,但这种讨论需要适应中层医疗保健优先级设定原则的实际和伦理要求。在本文中,我们分析了在评估作为成本效益修饰符的严重性时应如何考虑时间性。我们认为,在评估病情严重程度时,我们有理由从时间中性的角度来看待完整的病情,也就是说,我们要考虑到病情的全部可影响范围,而不随着患者在时间范围内的变化而改变严重程度,也不对未来进行折现。我们并不支持考虑病情本身的 "形状",例如严重程度是呈下降曲线还是倾斜曲线,或者严重程度是间歇性的而非持续性的。为了认真对待严重程度,我们认为有理由采用一种量化方法,即严重程度的每一个差异都应影响优先级的确定。总之,我们发现这种方法在实际确定优先事项时非常实用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Severity and Temporality in Healthcare Priority Setting - A Case for A Condition-specific Affectable Time-neutral Approach.

Priority setting of scarce resources in healthcare is high on the agenda of most healthcare systems implying a need to develop robust foundations for making fair allocation decisions. One central factor for such decisions in needs-based systems, following both empirical studies and theoretical analyses, is severity. However, it has been noted that severity is an under-theorized concept. One such aspect is how severity should relate to temporality. There is a rich discussion on temporality and distributive justice, however, this discussion needs to be adapted to the practical and ethical requirements of healthcare priority setting principles at mid-level. In this article, we analyze how temporal aspects should be taken into account when assessing severity as a modifier for cost-effectiveness. We argue that when assessing the severity of a condition, we have reason to look at complete conditions from a time-neutral perspective, meaning that we take the full affectable stretch of the condition into account without modifying severity as patients move through the temporal stretch and without discounting the future. We do not find support for taking the 'shape' of a condition into account per se, e.g. whether the severity has a declining or inclining curve, or that severity is intermittent rather than continuous. In order to take severity seriously, we argue that we have reason to apply a quantified approach where every difference in severity should impact on priority setting. In conclusion, we find that this approach is practically useful in actual priority setting.

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来源期刊
CiteScore
4.20
自引率
0.00%
发文量
3
期刊介绍: Health Care Analysis is a journal that promotes dialogue and debate about conceptual and normative issues related to health and health care, including health systems, healthcare provision, health law, public policy and health, professional health practice, health services organization and decision-making, and health-related education at all levels of clinical medicine, public health and global health. Health Care Analysis seeks to support the conversation between philosophy and policy, in particular illustrating the importance of conceptual and normative analysis to health policy, practice and research. As such, papers accepted for publication are likely to analyse philosophical questions related to health, health care or health policy that focus on one or more of the following: aims or ends, theories, frameworks, concepts, principles, values or ideology. All styles of theoretical analysis are welcome providing that they illuminate conceptual or normative issues and encourage debate between those interested in health, philosophy and policy. Papers must be rigorous, but should strive for accessibility – with care being taken to ensure that their arguments and implications are plain to a broad academic and international audience. In addition to purely theoretical papers, papers grounded in empirical research or case-studies are very welcome so long as they explore the conceptual or normative implications of such work. Authors are encouraged, where possible, to have regard to the social contexts of the issues they are discussing, and all authors should ensure that they indicate the ‘real world’ implications of their work. Health Care Analysis publishes contributions from philosophers, lawyers, social scientists, healthcare educators, healthcare professionals and administrators, and other health-related academics and policy analysts.
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