Columbia University School of Nursing, New York, NY, USA.
Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, NY, USA.
J Am Med Inform Assoc. 2018 Feb 1;25(2):175-182. doi: 10.1093/jamia/ocx042.
To explore home care nurses' numeracy and graph literacy and their relationship to comprehension of visualized data.
A multifactorial experimental design using online survey software. Nurses were recruited from 2 Medicare-certified home health agencies. Numeracy and graph literacy were measured using validated scales. Nurses were randomized to 1 of 4 experimental conditions. Each condition displayed data for 1 of 4 quality indicators, in 1 of 4 different visualized formats (bar graph, line graph, spider graph, table). A mixed linear model measured the impact of numeracy, graph literacy, and display format on data understanding.
In all, 195 nurses took part in the study. They were slightly more numerate and graph literate than the general population. Overall, nurses understood information presented in bar graphs most easily (88% correct), followed by tables (81% correct), line graphs (77% correct), and spider graphs (41% correct). Individuals with low numeracy and low graph literacy had poorer comprehension of information displayed across all formats. High graph literacy appeared to enhance comprehension of data regardless of numeracy capabilities.
Clinical dashboards are increasingly used to provide information to clinicians in visualized format, under the assumption that visual display reduces cognitive workload. Results of this study suggest that nurses' comprehension of visualized information is influenced by their numeracy, graph literacy, and the display format of the data. Individual differences in numeracy and graph literacy skills need to be taken into account when designing dashboard technology.
探讨家庭护理护士的计算能力和图表素养及其与可视化数据理解的关系。
采用多因素实验设计,使用在线调查软件。从 2 家经医疗保险认证的家庭健康机构招募护士。使用经过验证的量表测量计算能力和图表素养。护士被随机分配到 4 个实验条件之一。每个条件显示 4 个质量指标中的 1 个,以 4 种不同的可视化格式(条形图、线图、蜘蛛图、表格)之一显示数据。混合线性模型测量了计算能力、图表素养和显示格式对数据理解的影响。
共有 195 名护士参加了这项研究。他们的计算能力和图表素养略高于一般人群。总的来说,护士最容易理解条形图呈现的信息(88%正确),其次是表格(81%正确)、线图(77%正确)和蜘蛛图(41%正确)。计算能力和图表素养较低的个体对所有格式呈现的信息理解能力较差。高图表素养似乎增强了无论计算能力如何对数据的理解能力。
临床仪表板越来越多地用于以可视化格式向临床医生提供信息,假设视觉显示可以减轻认知工作量。这项研究的结果表明,护士对可视化信息的理解受到其计算能力、图表素养和数据显示格式的影响。在设计仪表板技术时,需要考虑计算能力和图表素养技能的个体差异。