Department of Health Technology & Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands (HK).
Centre for Health Economics, University of York, York, Heslington, UK (CR).
Med Decis Making. 2018 Oct;38(7):888-900. doi: 10.1177/0272989X18797948. Epub 2018 Sep 6.
Although value of information (VOI) analyses are increasingly advocated and used for research prioritization and reimbursement decisions, the interpretation and usefulness of VOI outcomes depend critically on the underlying choices and assumptions used in the analysis. In this article, we present a structured overview of all items reported in literature to potentially influence VOI outcomes. Use of this overview increases awareness and transparency of choices and assumptions underpinning VOI outcomes.
A systematic literature review was performed to identify aspects of VOI analyses that were found to potentially influence VOI outcomes. Identified aspects were grouped to develop a structured overview. Explanations were defined for all items included in the overview.
We retrieved 687 unique papers, of which 71 original papers and 8 reviews were included. In the full text of these 79 papers, 16 aspects were found that may influence VOI outcomes. These aspects related to the underlying evidence (bias, synthesis, heterogeneity, correlation), uncertainty (structural, future pricing), model (relevance, approach, population), choices in VOI calculation (estimation technique, implementation level, population size, perspective), and aspects specifically for assessing the value of future study designs (reversal costs, efficient estimator). These aspects were aggregated into 7 items to provide a structured overview.
The developed overview should increase awareness of key choices underlying VOI analysis and facilitate structured reporting of such choices and interpretation of the ensuing VOI outcomes by researchers and policy makers. Use of this overview should improve prioritization and reimbursement decisions.
尽管价值信息（VOI）分析越来越多地被倡导和用于研究优先级和报销决策，但 VOI 结果的解释和有用性取决于分析中使用的基础选择和假设。在本文中，我们对文献中报告的所有可能影响 VOI 结果的项目进行了结构化概述。使用此概述可提高对 VOI 结果背后的选择和假设的认识和透明度。
进行了系统的文献回顾，以确定被发现可能影响 VOI 结果的 VOI 分析方面。将确定的方面进行分组，以制定结构化概述。概述中包含的所有项目都有明确的解释。
我们检索到 687 篇独特的论文，其中 71 篇原始论文和 8 篇综述被纳入。在这 79 篇论文的全文中，发现了 16 个可能影响 VOI 结果的方面。这些方面与基础证据（偏差、综合、异质性、相关性）、不确定性（结构、未来定价）、模型（相关性、方法、人群）、VOI 计算中的选择（估计技术、实施水平、人群规模、视角）以及专门用于评估未来研究设计价值的方面（反转成本、有效估计器）有关。这些方面被汇总为 7 个项目，以提供结构化概述。
所开发的概述应提高对 VOI 分析基础的关键选择的认识，并促进研究人员和决策者对这些选择的结构化报告和对随之而来的 VOI 结果的解释。使用此概述应能改善优先级和报销决策。
