Barnes Andrew J, Hanoch Yaniv, Miron-Shatz Talya, Ozanne Elissa M
Department of Healthcare Policy and Research, School of Medicine, Virginia Commonwealth University.
Department of Psychology, Plymouth University.
Health Psychol. 2016 Sep;35(9):1007-16. doi: 10.1037/hea0000367. Epub 2016 May 16.
Risk communication tools can facilitate patients' understanding of risk information. In this novel study, we examine the hypothesis that risk communication methods tailored to individuals' preferences can increase risk comprehension.
Preferences for breast cancer risk formats, and risk comprehension data were collected using an online survey from 361 women at high risk for breast cancer. Women's initial preferences were assessed by asking them which of the following risk formats would be the clearest: (a) percentage, (b) frequency, (c) bar graph, (d) pictogram, and (e) comparison to other women. Next, women were presented with 5 different formats for displaying cancer risks and asked to interpret the risk information presented. Finally, they were asked again which risk format they preferred.
Initial preferences for risk formats were not associated with risk comprehension scores. However, women with lower risk comprehension scores were more likely to update their risk format preferences after they evaluated risks in different formats. Less numerate women were more likely to prefer graphical rather than numeric risk formats. Importantly, we found that women preferring graphical risk formats had lower risk comprehension in these formats compared to numeric formats. In contrast, women preferring numeric formats performed equally well across formats.
Our findings suggest that tailoring risk communication to patient preferences may not improve understanding of medical risks, particularly for less numerate women, and point to the potential perils of tailoring risk communication formats to patient preferences. (PsycINFO Database Record
风险沟通工具可促进患者对风险信息的理解。在这项新研究中,我们检验了这样一个假设,即根据个人偏好量身定制的风险沟通方法可以提高风险理解能力。
通过在线调查收集了361名乳腺癌高风险女性对乳腺癌风险形式的偏好以及风险理解数据。通过询问她们以下哪种风险形式最清晰来评估女性的初始偏好:(a)百分比,(b)频率,(c)柱状图,(d)象形图,以及(e)与其他女性的比较。接下来,向女性展示5种不同的显示癌症风险的形式,并要求她们解读所呈现的风险信息。最后,再次询问她们更喜欢哪种风险形式。
风险形式的初始偏好与风险理解分数无关。然而,风险理解分数较低的女性在以不同形式评估风险后更有可能更新她们对风险形式的偏好。算术能力较低的女性更有可能更喜欢图形而非数字风险形式。重要的是,我们发现与数字形式相比,更喜欢图形风险形式的女性对这些形式的风险理解较低。相比之下,更喜欢数字形式的女性在各种形式下表现同样出色。
我们 的研究结果表明,根据患者偏好定制风险沟通可能无法提高对医疗风险的理解,特别是对于算术能力较低的女性,并指出了根据患者偏好定制风险沟通形式的潜在风险。(PsycINFO数据库记录)