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自然频率有助于老年人和算术能力较低的人评估医学筛查测试。

Natural frequencies help older adults and people with low numeracy to evaluate medical screening tests.

作者信息

Galesic Mirta, Gigerenzer Gerd, Straubinger Nils

机构信息

Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany.

出版信息

Med Decis Making. 2009 May-Jun;29(3):368-71. doi: 10.1177/0272989X08329463. Epub 2009 Jan 6.

Abstract

BACKGROUND

Understanding information about medical screening tests often requires estimating positive predictive values (i.e., posterior probabilities), which is a notoriously difficult task. Previous studies have shown that representation of information in terms of natural frequencies (i.e., counts of occurrences that preserve base rates) facilitates judgments of positive predictive values. The objective of this study was to investigate whether natural frequencies facilitate accurate estimates in elderly people and whether performance depends on numeracy skills. Elderly people are more often than younger people required to use such information to make informed choices regarding medical procedures (e.g., screenings).

METHOD

This was an experimental study in which information about 2 medical screening tests was presented either as conditional probabilities or natural frequencies. Participants were 47 older adults (62-77 years of age; average numeracy score 8.6) and 115 younger adults (18-35 years of age; average numeracy score 10.3).

RESULTS

When the screening information was presented in terms of conditional probabilities, only 15% of the younger adults and 18% of the older adults provided accurate estimates in at least 1 of the tasks. When information was presented in terms of natural frequencies, 55% of the younger adults and 58% of the elderly participants gave correct estimates. This effect occurred without explicit training. Furthermore, participants with higher numeracy scores performed better in the estimation tasks than those with lower numeracy scores.

CONCLUSIONS

Natural frequencies help elderly and young patients-including those with lower numeracy skills-to understand positive predictive values of medical screening tests.

摘要

背景

理解医学筛查测试的信息通常需要估计阳性预测值(即后验概率),这是一项众所周知的困难任务。先前的研究表明,用自然频率(即保留基础率的事件计数)来表示信息有助于对阳性预测值的判断。本研究的目的是调查自然频率是否有助于老年人进行准确估计,以及表现是否取决于算术技能。与年轻人相比,老年人更经常需要使用此类信息来就医疗程序(如筛查)做出明智的选择。

方法

这是一项实验研究,其中关于两项医学筛查测试的信息以条件概率或自然频率的形式呈现。参与者为47名老年人(62 - 77岁;平均算术得分8.6)和115名年轻人(18 - 35岁;平均算术得分10.3)。

结果

当筛查信息以条件概率的形式呈现时,只有15%的年轻人和18%的老年人在至少一项任务中提供了准确估计。当信息以自然频率的形式呈现时,55%的年轻人和58%的老年参与者给出了正确估计。这种效果在没有明确训练的情况下就出现了。此外,算术得分较高的参与者在估计任务中的表现优于得分较低的参与者。

结论

自然频率有助于老年人和年轻患者——包括那些算术技能较低的患者——理解医学筛查测试的阳性预测值。

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