Shaffer Victoria A, Wegier Pete, Valentine K D, Duan Sean, Canfield Shannon M, Belden Jeffery L, Steege Linsey M, Popescu Mihail, Koopman Richelle J
University of Missouri, Columbia, MO, USA.
Humber River Health & University of Toronto, Toronto, Canada.
J Gen Intern Med. 2025 Feb 7. doi: 10.1007/s11606-025-09381-1.
Uncontrolled hypertension is a significant US health problem, despite existing effective treatments. This study assessed the impact of variations in patterns of blood pressure data on physician perceptions of hypertension control using different forms of data visualization.
Physicians (N = 57) reviewed eight brief vignettes describing a fictitious patient; each vignette included a graph of the patient's blood pressure data. We examined how variations in mean systolic blood pressure (SBP), blood pressure standard deviation (SD), and form of visualization (e.g., line graph with raw values or smoothed values only) affected judgments about hypertension control and need for medication change.
Smoothing successfully reduced visual noise for the physicians. For controlled hypertension, physician judgments were more consistent with clinical guidelines when using the smoothed graph compared with the raw data graph. Judgments about hypertension control with the smoothed graph were similar to judgments made using the raw data graph for cases of uncontrolled hypertension.
Data visualization can direct physicians to attend to more clinically meaningful information, thereby improving their judgments of hypertension control.
尽管现有有效治疗方法,但未控制的高血压仍是美国一个重大的健康问题。本研究使用不同形式的数据可视化方法,评估血压数据模式变化对医生高血压控制认知的影响。
医生(N = 57)审阅了八个描述虚构患者的简短案例;每个案例都包含患者血压数据的图表。我们研究了平均收缩压(SBP)、血压标准差(SD)以及可视化形式(例如,仅含原始值或平滑值的折线图)的变化如何影响关于高血压控制及药物调整需求的判断。
平滑处理成功减少了医生视觉上的干扰信息。对于控制良好的高血压,与原始数据图表相比,医生在使用平滑图表时的判断更符合临床指南。对于未控制的高血压病例,使用平滑图表对高血压控制的判断与使用原始数据图表时的判断相似。
数据可视化可引导医生关注更具临床意义的信息,从而改善他们对高血压控制的判断。