The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
UMR 1095, Université de Toulouse, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France.
PLoS One. 2021 Jul 23;16(7):e0253644. doi: 10.1371/journal.pone.0253644. eCollection 2021.
Few studies have examined the best way to convey the probability of serious events occurring in the future (i.e., risk of stroke or death) to persons with low numeracy or graph literacy proficiency. To address this gap, we developed and user-tested a bar graph and compared it to icon arrays to assess its impact on understanding and preference for viewing risk information.
To determine the: (i) formats' impact on participants' understanding of risk information; (ii) formats' impact on understanding and format preference across numeracy and graph literacy subgroups; (iii) rationale supporting participants' preference for each graphical display format.
An online sample (evenly made up of participants with high and low objective numeracy and graph literacy) was randomized to view either the icon array or the bar graph. Each format conveyed the risk of major stroke and death five years after choosing surgery, a stent, or medication to treat carotid artery stenosis. Participants answered questions to assess their understanding of the risk information. Lastly, both formats were presented in parallel, and participants were asked to identify their preferred format to view risk information and explain their preference.
Of the 407 participants, 197 were assigned the icon array and 210 the bar graph. Understanding of risk information and format preference did not differ significantly between the two trial arms, irrespective of numeracy and graph literacy proficiency. High numeracy and graph literacy proficiency was associated with high understanding (p<0.01) and a preference for the bar graph (p = 0.01).
We found no evidence to demonstrate the superiority of one format over another on understanding. The majority of participants preferred viewing the risk information using the bar graph format.
很少有研究探讨向低算术或图形读写能力的人传达未来发生严重事件(即中风或死亡风险)的最佳方式。为了解决这一差距,我们开发并测试了一种条形图,并将其与图标数组进行了比较,以评估其对理解和偏好风险信息的影响。
确定:(i)各种格式对参与者理解风险信息的影响;(ii)各种格式对不同算术和图形读写能力亚组的理解和格式偏好的影响;(iii)支持参与者对每种图形显示格式偏好的基本原理。
在线样本(均匀分为高、低客观算术和图形读写能力的参与者)被随机分配观看图标数组或条形图。每种格式都传达了在选择手术、支架或药物治疗颈动脉狭窄后五年发生主要中风和死亡的风险。参与者回答问题以评估他们对风险信息的理解。最后,同时呈现两种格式,让参与者选择他们喜欢的查看风险信息的格式,并解释他们的偏好。
在 407 名参与者中,有 197 名被分配到图标数组,210 名被分配到条形图。无论算术和图形读写能力熟练程度如何,两种试验臂之间对风险信息的理解和格式偏好没有显著差异。高算术和图形读写能力与高理解能力相关(p<0.01),并偏爱条形图(p=0.01)。
我们没有发现证据表明一种格式比另一种格式在理解上具有优势。大多数参与者更喜欢使用条形图格式查看风险信息。