Yokota Fumie, Thompson Kimberly M
Office of Information and Regulatory Affairs, Washington, DC, USA.
Risk Anal. 2004 Jun;24(3):635-50. doi: 10.1111/j.0272-4332.2004.00464.x.
Experts agree that value of information (VOI) analyses provide useful insights in risk management decisions. However, applications in environmental health risk management (EHRM) remain largely demonstrative thus far because of the complexity in modeling and solving VOI problems. Based on this comprehensive review of all VOI applications published in the peer-reviewed literature of such applications, the complexity of solving VOI problems with continuous probability distributions as inputs in models emerges as the main barrier to greater use of VOI although simulation allows analysts to solve more complex and realistic problems. Several analytical challenges that inhibit greater use of VOI techniques include issues related to modeling decisions, valuing outcomes, and characterizing uncertain and variable model inputs appropriately. This comprehensive review of methods for modeling and solving VOI problems for applications related to EHRM provides the first synthesis of important methodological advances in the field. The insights provide risk analysts and decision scientists with some guidance on how to structure and solve VOI problems focused on evaluating opportunities to collect better information to improve EHRM decisions. They further suggest the need for some efforts to standardize approaches and develop some prescriptive guidance for VOI analysts similar to existing guidelines for conducting cost-effectiveness analyses.
专家们一致认为,信息价值(VOI)分析为风险管理决策提供了有用的见解。然而,由于在建模和解决VOI问题方面的复杂性,到目前为止,其在环境健康风险管理(EHRM)中的应用在很大程度上仍处于示范阶段。基于对这类应用的同行评审文献中发表的所有VOI应用的全面回顾,在模型中使用连续概率分布作为输入来解决VOI问题的复杂性,成为了更广泛应用VOI的主要障碍,尽管模拟使分析人员能够解决更复杂和现实的问题。阻碍更广泛使用VOI技术的几个分析挑战包括与建模决策、结果估值以及恰当地描述不确定和可变模型输入相关的问题。这次对与EHRM相关应用的VOI问题建模和解决方法的全面回顾,首次综合了该领域重要的方法进展。这些见解为风险分析人员和决策科学家提供了一些指导,说明如何构建和解决专注于评估收集更好信息以改善EHRM决策机会的VOI问题。它们还进一步表明,需要做出一些努力来规范方法,并为VOI分析人员制定一些规范性指导,类似于现有的进行成本效益分析的指南。