Galesic Mirta, Garcia-Retamero Rocio
Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany.
Arch Intern Med. 2010 Mar 8;170(5):462-8. doi: 10.1001/archinternmed.2009.481.
Statistical numeracy is essential for understanding health-related risks and making informed medical decisions. However, this concept has not been investigated with probabilistic national samples or compared cross-culturally. We sought (1) to investigate differences in the level of statistical numeracy between 2 countries with different educational and medical systems-the United States and Germany; (2) to study the relationship between statistical numeracy and demographic characteristics such as age, sex, and education; and (3) to test whether a subjective measure of numeracy is a valid indicator of objective measures.
In a survey of probabilistic, representative national samples in Germany and the United States, conducted in July and August 2008, we asked questions testing objective and subjective statistical numeracy.
German participants had higher numeracy skills than did US participants. On average, 68.5% (SE, 1.1%) and 64.5% (SE, 1.3%), respectively, of items testing objective numeracy were answered correctly. Subjective estimates of numeracy were a good indicator of the objective measures. There is a large gap in numeracy skills between persons with lower and higher educational levels, particularly in the United States.
Physicians should be aware that many patients may not understand all information relevant to making an informed decision. Fortunately, they can identify such patients and use nonnumerical presentation formats, such as graphical displays and analogies, to communicate important statistical information.
统计数字能力对于理解健康相关风险和做出明智的医疗决策至关重要。然而,这一概念尚未在概率性全国样本中进行研究,也未进行跨文化比较。我们旨在:(1)调查美国和德国这两个具有不同教育和医疗体系的国家在统计数字能力水平上的差异;(2)研究统计数字能力与年龄、性别和教育等人口统计学特征之间的关系;(3)检验数字能力的主观测量是否是客观测量的有效指标。
在2008年7月和8月对德国和美国具有概率代表性的全国样本进行的一项调查中,我们提出了测试客观和主观统计数字能力的问题。
德国参与者的数字能力技能高于美国参与者。在测试客观数字能力的项目中,平均分别有68.5%(标准误,1.1%)和64.5%(标准误,1.3%)的题目回答正确。数字能力的主观估计是客观测量的良好指标。教育水平较低和较高的人在数字能力技能方面存在很大差距,尤其是在美国。
医生应该意识到,许多患者可能不理解所有与做出明智决策相关的信息。幸运的是,他们可以识别出这类患者,并使用非数字呈现形式,如图形显示和类比,来传达重要的统计信息。