Siebert Uwe, Rochau Ursula, Claxton Karl
Department of Public Health and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria; Area Health Technology Assessment and Bioinformatics, ONCOTYROL - Center for Personalized Cancer Medicine, Innsbruck, Austria; Center for Health Decision Science, Department of Health Policy and Management, Harvard School of Public Health, Boston, MA, USA; Institute for Technology Assessment and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Z Evid Fortbild Qual Gesundhwes. 2013;107(9-10):575-84. doi: 10.1016/j.zefq.2013.10.020. Epub 2013 Nov 12.
Decision analysis (DA) and value-of-information (VOI) analysis provide a systematic, quantitative methodological framework that explicitly considers the uncertainty surrounding the currently available evidence to guide healthcare decisions. In medical decision making under uncertainty, there are two fundamental questions: 1) What decision should be made now given the best available evidence (and its uncertainty)?; 2) Subsequent to the current decision and given the magnitude of the remaining uncertainty, should we gather further evidence (i.e., perform additional studies), and if yes, which studies should be undertaken (e.g., efficacy, side effects, quality of life, costs), and what sample sizes are needed? Using the currently best available evidence, VoI analysis focuses on the likelihood of making a wrong decision if the new intervention is adopted. The value of performing further studies and gathering additional evidence is based on the extent to which the additional information will reduce this uncertainty. A quantitative framework allows for the valuation of the additional information that is generated by further research, and considers the decision maker's objectives and resource constraints. Claxton et al. summarise: "Value of information analysis can be used to inform a range of policy questions including whether a new technology should be approved based on existing evidence, whether it should be approved but additional research conducted or whether approval should be withheld until the additional evidence becomes available." [Claxton K. Value of information entry in Encyclopaedia of Health Economics, Elsevier, forthcoming 2014.] The purpose of this tutorial is to introduce the framework of systematic VoI analysis to guide further research. In our tutorial article, we explain the theoretical foundations and practical methods of decision analysis and value-of-information analysis. To illustrate, we use a simple case example of a foot ulcer (e.g., with diabetes) as well as key references from the literature, including examples for the use of the decision-analytic VoI framework by health technology assessment agencies to guide further research. These concepts may guide stakeholders involved or interested in how to determine whether or not and, if so, which additional evidence is needed to make decisions.
决策分析(DA)和信息价值(VOI)分析提供了一个系统的、定量的方法框架,该框架明确考虑了围绕当前可用证据的不确定性,以指导医疗保健决策。在不确定性情况下的医疗决策中,有两个基本问题:1)根据现有的最佳证据(及其不确定性),现在应该做出什么决策?2)在当前决策之后,考虑到剩余不确定性的程度,我们是否应该收集更多证据(即进行额外的研究),如果是,应该进行哪些研究(例如疗效、副作用、生活质量、成本),以及需要多大的样本量?VOI分析利用当前可用的最佳证据,关注如果采用新干预措施做出错误决策的可能性。进行进一步研究和收集更多证据的价值取决于额外信息将减少这种不确定性的程度。定量框架允许对进一步研究所产生的额外信息进行估值,并考虑决策者的目标和资源限制。克拉克斯顿等人总结道:“信息价值分析可用于为一系列政策问题提供信息,包括是否应根据现有证据批准一项新技术,是否应批准但进行额外研究,或者是否应推迟批准直至获得额外证据。”[克拉克斯顿K.《健康经济学百科全书》中的信息价值条目,爱思唯尔出版社,即将于2014年出版。]本教程的目的是介绍系统VOI分析框架,以指导进一步的研究。在我们的教程文章中,我们解释了决策分析和信息价值分析的理论基础和实用方法。为了说明这一点,我们使用一个足部溃疡(例如糖尿病患者)的简单案例示例以及文献中的关键参考文献,包括卫生技术评估机构使用决策分析VOI框架指导进一步研究的示例。这些概念可能会指导参与或关注如何确定是否以及如果需要的话需要哪些额外证据来做出决策的利益相关者。