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Statistical numeracy for health: a cross-cultural comparison with probabilistic national samples.

机译:卫生统计计算:一个跨文化与国家样本概率。

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摘要

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
机译:背景:统计计算能力是至关重要的理解和健康风险明智的医疗决定。没有与概率调查国家相比,样品或跨文化。(1)试图调查差异2国之间水平的统计计算不同的教育和医疗美国和德国系统;研究统计之间的关系计算能力和人口特征等年龄、性别和教育;一个主观测量的计算能力是有效的指标的客观的措施。概率的调查中,代表国家样品在德国和美国,2008年7月和8月开展,我们问测试客观和主观的问题统计计算。参与者相比有更高的计算能力我们的参与者。分别为(64.5%,1.3%),项目测试客观的计算能力,都回答正确。主观估计的计算能力是很好的指标的客观的措施。巨大的差距之间的计算技能的人和高等教育水平较低,特别是在美国。应该意识到许多病人可能不做一个理解所有相关的信息明智的决定。这类病人和使用非数值的表示格式,如图形显示和类比,交流重要的统计信息。

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