Centre for Health Economics, University of York, York, England, UK.
School of Health and Related Research, University of Sheffield, Sheffield, England, UK.
Value Health. 2020 Mar;23(3):277-286. doi: 10.1016/j.jval.2020.01.004.
The allocation of healthcare resources among competing priorities requires an assessment of the expected costs and health effects of investing resources in the activities and of the opportunity cost of the expenditure. To date, much effort has been devoted to assessing the expected costs and health effects, but there remains an important need to also reflect the consequences of uncertainty in resource allocation decisions and the value of further research to reduce uncertainty. Decision making with uncertainty may turn out to be suboptimal, resulting in health loss. Consequently, there may be value in reducing uncertainty, through the collection of new evidence, to better inform resource decisions. This value can be quantified using value of information (VOI) analysis. This report from the ISPOR VOI Task Force describes methods for computing 4 VOI measures: the expected value of perfect information, expected value of partial perfect information (EVPPI), expected value of sample information (EVSI), and expected net benefit of sampling (ENBS). Several methods exist for computing EVPPI and EVSI, and this report provides guidance on selecting the most appropriate method based on the features of the decision problem. The report provides a number of recommendations for good practice when planning, undertaking, or reviewing VOI analyses. The software needed to compute VOI is discussed, and areas for future research are highlighted.
在相互竞争的优先事项中分配医疗资源需要评估在活动中投入资源的预期成本和健康效果,以及支出的机会成本。迄今为止,人们已经投入了大量精力来评估预期成本和健康效果,但仍有一个重要的需求,即反映资源分配决策不确定性的后果以及进一步研究以减少不确定性的价值。在存在不确定性的情况下进行决策可能会导致次优结果,从而导致健康损失。因此,通过收集新的证据来减少不确定性,从而为资源决策提供更好的信息,可能具有价值。可以使用信息价值(VOI)分析来量化这种价值。本报告来自 ISPOR VOI 工作组,介绍了计算 4 种 VOI 度量的方法:完全信息的期望价值、部分完全信息的期望价值(EVPPI)、样本信息的期望价值(EVSI)和抽样的期望净收益(ENBS)。存在多种计算 EVPPI 和 EVSI 的方法,本报告根据决策问题的特点提供了选择最合适方法的指南。报告还为规划、进行或审查 VOI 分析提供了一些良好实践的建议。讨论了计算 VOI 所需的软件,并强调了未来研究的领域。