{"title":"Should Severity Assessments in Healthcare Priority Setting be Risk- and Time-Sensitive?","authors":"Lars Sandman, Jan Liliemark","doi":"10.1007/s10728-023-00460-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Severity plays an essential role in healthcare priority setting. Still, severity is an under-theorised concept. One controversy concerns whether severity should be risk- and/or time-sensitive. The aim of this article is to provide a normative analysis of this question.</p><p><strong>Methods: </strong>A reflective equilibrium approach is used, where judgements and arguments concerning severity in preventive situations are related to overall normative judgements and background theories in priority-setting, aiming for consistency. Analysis, discussion, and conclusions: There is an argument for taking the risk of developing a condition into account, and we do this when we consider the risk of dying in the severity assessment. If severity is discounted according to risk, this will 'dilute' severity, depending on how well we are able to delineate the population, which is dependent on the current level of knowledge. This will potentially have a more far-reaching effect when considering primary prevention, potentially the de-prioritisation of effective preventive treatments in relation to acute, less-effective treatments. The risk arguments are dependent on which population is being assessed. If we focus on the whole population at risk, with T<sub>0</sub> as the relevant population, this supports the risk argument. If we instead focus on the population of as-yet (at T<sub>0</sub>) unidentified individuals who will develop the condition at T<sub>1</sub>, risk will become irrelevant, and severity will not be risk sensitive. The strongest argument for time-sensitive severity (or for discounting future severity) is the future development of technology. On a short timescale, this will differ between different diagnoses, supporting individualised discounting. On a large timescale, a more general discounting might be acceptable. However, we need to also consider the systemic effects of allowing severity to be risk- and time-sensitive.</p>","PeriodicalId":46740,"journal":{"name":"Health Care Analysis","volume":" ","pages":"169-185"},"PeriodicalIF":1.8000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693510/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Care Analysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10728-023-00460-0","RegionNum":3,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Severity plays an essential role in healthcare priority setting. Still, severity is an under-theorised concept. One controversy concerns whether severity should be risk- and/or time-sensitive. The aim of this article is to provide a normative analysis of this question.
Methods: A reflective equilibrium approach is used, where judgements and arguments concerning severity in preventive situations are related to overall normative judgements and background theories in priority-setting, aiming for consistency. Analysis, discussion, and conclusions: There is an argument for taking the risk of developing a condition into account, and we do this when we consider the risk of dying in the severity assessment. If severity is discounted according to risk, this will 'dilute' severity, depending on how well we are able to delineate the population, which is dependent on the current level of knowledge. This will potentially have a more far-reaching effect when considering primary prevention, potentially the de-prioritisation of effective preventive treatments in relation to acute, less-effective treatments. The risk arguments are dependent on which population is being assessed. If we focus on the whole population at risk, with T0 as the relevant population, this supports the risk argument. If we instead focus on the population of as-yet (at T0) unidentified individuals who will develop the condition at T1, risk will become irrelevant, and severity will not be risk sensitive. The strongest argument for time-sensitive severity (or for discounting future severity) is the future development of technology. On a short timescale, this will differ between different diagnoses, supporting individualised discounting. On a large timescale, a more general discounting might be acceptable. However, we need to also consider the systemic effects of allowing severity to be risk- and time-sensitive.
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.