Zakkar Moutasem, Sedig Kamran
Insight Lab, Western University, Canada.
School of Public Health and Health Systems, University of Waterloo, Canada.
Online J Public Health Inform. 2017 Sep 8;9(2):e190. doi: 10.5210/ojphi.v9i2.8000. eCollection 2017.
The purpose of this study is to examine the use of interactive visualizations to represent data/information related to social determinants of health and public health indicators, and to investigate the benefits of such visualizations for health policymaking.
The study developed a prototype for an online interactive visualization tool that represents the social determinants of health. The study participants explored and used the tool. The tool was evaluated using the informal user experience evaluation method. This method involves the prospective users of a tool to use and play with it and their feedback to be collected through interviews.
Using visualizations to represent and interact with health indicators has advantages over traditional representation techniques that do not allow users to interact with the information. Communicating healthcare indicators to policymakers is a complex task because of the complexity of the indicators, diversity of audiences, and different audience needs. This complexity can lead to information misinterpretation, which occurs when users of the health data ignore or do not know why, where, and how the data has been produced, or where and how it can be used.
Public health policymaking is a complex process, and data is only one element among others needed in this complex process. Researchers and healthcare organizations should conduct a strategic evaluation to assess the usability of interactive visualizations and decision support tools before investing in these tools. Such evaluation should take into consideration the cost, ease of use, learnability, and efficiency of those tools, and the factors that influence policymaking.
本研究的目的是检验交互式可视化在呈现与健康的社会决定因素及公共卫生指标相关的数据/信息方面的应用,并调查此类可视化对卫生政策制定的益处。
该研究开发了一个用于呈现健康的社会决定因素的在线交互式可视化工具原型。研究参与者探索并使用了该工具。使用非正式用户体验评估方法对该工具进行评估。此方法让工具的潜在用户使用并操作它,并通过访谈收集他们的反馈。
使用可视化来呈现健康指标并与之交互,相较于传统的不允许用户与信息进行交互的呈现技术具有优势。由于指标的复杂性、受众的多样性以及不同的受众需求,向政策制定者传达医疗保健指标是一项复杂的任务。这种复杂性可能导致信息误解,即当健康数据的用户忽略或不知道数据为何、何处以及如何产生,或者数据可在何处以及如何使用时就会出现信息误解。
公共卫生政策制定是一个复杂的过程,而数据只是这个复杂过程中所需的诸多要素之一。研究人员和医疗保健组织在投资这些工具之前,应进行战略评估以评估交互式可视化和决策支持工具的可用性。此类评估应考虑这些工具的成本、易用性、可学习性和效率,以及影响政策制定的因素。