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本文引用的文献

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Value of Information Analysis for Research Decisions-An Introduction: Report 1 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force.信息价值分析在研究决策中的应用:ISPOR 信息价值分析新兴良好实践工作组报告 1。
Value Health. 2020 Feb;23(2):139-150. doi: 10.1016/j.jval.2020.01.001.
2
Value of Information Analysis Informing Adoption and Research Decisions in a Portfolio of Health Care Interventions.信息价值分析为医疗保健干预措施组合中的采用和研究决策提供信息
MDM Policy Pract. 2016 Jul 7;1(1):2381468316642238. doi: 10.1177/2381468316642238. eCollection 2016 Jul-Dec.
3
Decision Criterion and Value of Information Analysis: Optimal Aspirin Dosage for Secondary Prevention of Cardiovascular Events.决策标准和信息价值分析:心血管事件二级预防的最佳阿司匹林剂量。
Med Decis Making. 2018 May;38(4):427-438. doi: 10.1177/0272989X17746988. Epub 2018 Mar 12.
4
Efficient Monte Carlo Estimation of the Expected Value of Sample Information Using Moment Matching.使用矩匹配进行样本信息期望价值的高效蒙特卡罗估计。
Med Decis Making. 2018 Feb;38(2):163-173. doi: 10.1177/0272989X17738515. Epub 2017 Nov 10.
5
A Gaussian Approximation Approach for Value of Information Analysis.信息价值分析的高斯逼近方法。
Med Decis Making. 2018 Feb;38(2):174-188. doi: 10.1177/0272989X17715627. Epub 2017 Jul 22.
6
A Review of Methods for Analysis of the Expected Value of Information.信息期望价值分析方法综述
Med Decis Making. 2017 Oct;37(7):747-758. doi: 10.1177/0272989X17697692. Epub 2017 Apr 14.
7
Assessing the Expected Value of Research Studies in Reducing Uncertainty and Improving Implementation Dynamics.评估研究在减少不确定性和改善实施动态方面的预期价值。
Med Decis Making. 2017 Jul;37(5):523-533. doi: 10.1177/0272989X16686766. Epub 2017 Jan 6.
8
Efficient Value of Information Calculation Using a Nonparametric Regression Approach: An Applied Perspective.使用非参数回归方法的有效信息价值计算:应用视角
Value Health. 2016 Jun;19(4):505-9. doi: 10.1016/j.jval.2016.01.011. Epub 2016 Mar 30.
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Estimating the expected value of partial perfect information in health economic evaluations using integrated nested Laplace approximation.使用集成嵌套拉普拉斯近似法估计健康经济评估中部分完美信息的期望值。
Stat Med. 2016 Oct 15;35(23):4264-80. doi: 10.1002/sim.6983. Epub 2016 May 18.
10
Development and Evaluation of an Approach to Using Value of Information Analyses for Real-Time Prioritization Decisions Within SWOG, a Large Cancer Clinical Trials Cooperative Group.一种利用信息价值分析在大型癌症临床试验协作组SWOG内进行实时优先级决策的方法的开发与评估
Med Decis Making. 2016 Jul;36(5):641-51. doi: 10.1177/0272989X16636847. Epub 2016 Mar 24.

价值信息分析方法:ISPOR 价值信息分析新兴良好实践工作组报告 2 号。

Value of Information Analytical Methods: Report 2 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force.

机构信息

Centre for Health Economics, University of York, York, England, UK.

School of Health and Related Research, University of Sheffield, Sheffield, England, UK.

出版信息

Value Health. 2020 Mar;23(3):277-286. doi: 10.1016/j.jval.2020.01.004.

DOI:10.1016/j.jval.2020.01.004
PMID:32197720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7373630/
Abstract

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.

摘要

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。