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How Numeracy Influences Risk Comprehension and Medical Decision Making

Journal

PSYCHOLOGICAL BULLETIN
Volume 135, Issue 6, Pages 943-973

Publisher

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/a0017327

Keywords

risk perception; risk communication; mathematical cognition; intuition; dual processes

Funding

  1. Intramural NIH HHS [Z99 HG999999] Funding Source: Medline
  2. NCI NIH HHS [R13 CA126359-01, R13 CA126359, R13CA126359] Funding Source: Medline
  3. NIMH NIH HHS [R01 MH061211-07, R01 MH061211, R01-MH-061211, R01 MH061211-02] Funding Source: Medline

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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

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