Slavin David, Troy Tucker W, Ferson Scott
Institute of Biomedical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
Ann N Y Acad Sci. 2008 Apr;1128:63-77. doi: 10.1196/annals.1399.008.
This chapter presents an approach under development for communicating uncertainty regarding risk. The approach relies on a risk imaging technology that decomposes risk into two basic elements: (i) the frequency of each kind of harm associated with a hazard and (ii) the adversity of each of those harms. Because different kinds of harm are often measured along incompatible dimensions, adversity is quantified on an ordinal scale. Frequency is quantified on a ratio scale. Sampling error, measurement error, and bias all contribute to uncertainty about frequency. Differences in opinion, measurement error, and choice of dimensions lead to uncertainty about adversity. In this chapter, risk is imaged as an area circumscribed by uncertainty bounds around all of the harms. This area is called the risk profile of a hazard. Different individuals and groups respond to uncertainty and risk differently, and the risk profile can be further focused to visualize particular risk perceptions. These alternate risk visualizations may be contrasted and compared across management choices or across different risk perceivers to facilitate communication and decision making. To illustrate the method, we image published clinical trial data.
本章介绍了一种正在开发的用于传达风险不确定性的方法。该方法依赖于一种风险成像技术,该技术将风险分解为两个基本要素:(i)与危害相关的每种伤害的频率,以及(ii)每种伤害的严重程度。由于不同类型的伤害通常是沿着不兼容的维度进行衡量的,因此严重程度是在一个有序尺度上进行量化的。频率是在一个比率尺度上进行量化的。抽样误差、测量误差和偏差都会导致频率的不确定性。意见分歧、测量误差和维度选择会导致严重程度的不确定性。在本章中,风险被描绘为围绕所有伤害的不确定性边界所界定的一个区域。这个区域被称为危害的风险概况。不同的个人和群体对不确定性和风险的反应不同,并且风险概况可以进一步聚焦以可视化特定的风险认知。这些不同的风险可视化可以在管理选择之间或不同的风险感知者之间进行对比和比较,以促进沟通和决策。为了说明该方法,我们对已发表的临床试验数据进行成像。