Wilhelms Evan A, Fraenkel Liana, Reyna Valerie F
College of Wooster.
Yale University.
Appl Cogn Psychol. 2018 Nov-Dec;32(6):714-726. doi: 10.1002/acp.3448. Epub 2018 Sep 1.
We tested predictions of fuzzy-trace theory that qualitative health status and gist representations (ordinal and categorical) of risks contribute to willingness to start medications, beyond effects of objective risk, emotion (worry), and numeracy. Adults in two experiments were given hypothetical scenarios based on actual medications, varying health status quo (acceptable or unacceptable), adverse event (pneumonia or cancer), and four levels of quantitative risk (from 1/100,000 to 1/100) between subjects. In both experiments, cancer and higher quantitative risk elicited greater worry and risk perceptions and reduced willingness to start a new medication. Willingness to start was also influenced by health status quo. After controlling for other variables, only status quo and gist representations consistently predicted willingness to start in both experiments. Results support an integrated approach to understanding and predicting perceptions of the risks of medications that encompasses numerical cognition, emotions (such as worry), and qualitative gist representations of medical information.
我们检验了模糊痕迹理论的预测,即除客观风险、情绪(担忧)和数字能力的影响外,健康状况的定性描述以及风险的主旨表征(顺序性和类别性)会影响开始用药的意愿。在两项实验中,我们基于实际药物给成年人提供了假设情境,情境中的健康现状(可接受或不可接受)、不良事件(肺炎或癌症)以及受试者之间的四个定量风险水平(从1/100,000到1/100)各不相同。在两项实验中,癌症和更高的定量风险引发了更大的担忧和风险认知,并降低了开始使用新药的意愿。开始用药的意愿也受到健康现状的影响。在控制了其他变量后,只有现状和主旨表征在两项实验中始终能够预测开始用药的意愿。研究结果支持了一种综合方法,用于理解和预测对药物风险的认知,该方法涵盖了数字认知、情绪(如担忧)以及医学信息的定性主旨表征。