How Numeracy Influences Risk Comprehension and Medical Decision Making

被引:804
作者
Reyna, Valerie F. [1 ,2 ]
Nelson, Wendy L. [3 ]
Han, Paul K. [3 ]
Dieckmann, Nathan F. [4 ,5 ]
机构
[1] Cornell Univ, Dept Human Dev, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Psychol, Ithaca, NY 14853 USA
[3] NCI, Bethesda, MD 20892 USA
[4] Decis Res, Eugene, OR USA
[5] Univ Oregon, Eugene, OR 97403 USA
关键词
risk perception; risk communication; mathematical cognition; intuition; dual processes; FUNCTIONAL HEALTH LITERACY; FUZZY-TRACE THEORY; BREAST-CANCER RISK; INDIVIDUAL-DIFFERENCES; NUMERICAL ESTIMATION; QUALITY INFORMATION; DUAL-PROCESSES; PRIMARY-CARE; RATIO-BIAS; COMMUNICATION;
D O I
10.1037/a0017327
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
We review the growing literature oil health numeracy. the ability to understand and use numerical information, and its relation to cognition, health behaviors, and medical Outcome;. Despite the surfeit of health information from commercial and noncommercial sources. national and International surveys show that many people lack basic numerical skills that are essential to maintain their health and make informed medical decisions. Low numeracy distorts perceptions of risks and benefits of screening. reduces medication compliance impedes access to treatments. Impairs risk communication (limiting prevention efforts among the Most vulnerable). and. based oil the scant research conducted on outcomes, appears to adversely affect medical outcomes Low numeracy is also associated with greater susceptibility to extraneous factors (i.e., factors that do not change the objective numerical information) That is. low numeracy increases susceptibility to effects of mood or how information presented (e g. as frequencies vs percentages) and to biases In Judgment and decision making (e g framing and ratio bias effects) Much of this research is not grounded in empirically supported theories of numeracy or mathematical cognition. which are crucial for designing evidence-based policies and intervention, that are effective in reducing risk and improving medical decision making To address this gap, we outline four theoretical approaches (psychophysical, computational, standard dual-process, and fuzzy trace theory), review their implications for numeracy. and point to avenues for future research
引用
收藏
页码:943 / 973
页数:31
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