Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.
Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.
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DOI：
10.2196/11342
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发表时间：
2019-04-04
影响因子：
2.2
通讯作者：
Manley, Ed
中科院分区：
文献类型：
--
作者：
Concannon, David;Herbst, Kobus;Manley, Ed
背景：人口监测站点生成许多与疾病监测相关的数据集。然而，由于收集的数据量大，而且缺乏快速传播分析结果的手段，这些数据可能没有得到充分利用。数据可视化提供了一种快速传播、理解和解释数据集的方法，通过增加信息访问来促进证据驱动的决策。目标：本文描述了数据仪表板设计框架的开发和评估，以可视化人口健康监测站点生成的数据集。本研究的目的是产生一个全面的，可重复使用的，可扩展的仪表板设计框架，以适应独特的要求context.METHODS：该框架的开发和实施在人口监测平台在非洲卫生研究所，在夸祖鲁-纳塔尔，南非。该上下文代表了在人口健康监测环境中使用数据仪表板的示例实现。在全面推出之前，进行了一项评估研究，以评估仪表板框架作为数据通信和决策工具的有效性。评估包括一个定量的任务评估，以评估可用性和定性的问卷调查，探讨使用dashboards.RESULTS的态度：评估参与者来自不同的用户组在网站上工作（n=20），包括社区成员，护士，科学和业务人员。评价表明，仪表板在用户群体中具有很高的可用性，科学和业务工作人员在完成任务方面遇到的问题很少。用户组之间的任务完成效率存在显着差异，表明对数据可视化的熟悉程度不同。大多数用户认为仪表板提供了对所呈现的数据集的清晰理解，并对其增加使用持积极态度。结论：总体而言，这项探索性研究表明数据仪表板框架在人口监测环境中传达数据趋势的可行性。在评估过程中发现的用户群体之间的可用性差异表明，在这种情况下，需要以用户为主导的仪表板设计，解决在这种设置中存在的不同潜在用户之间存在的异构计算机和可视化知识。调查问卷突出了所有利益攸关方对增加数据集访问的热情，突出了仪表板在这方面的潜力。
BACKGROUND: Population surveillance sites generate many datasets relevant to disease surveillance. However, there is a risk that these data are underutilized because of the volumes of data gathered and the lack of means to quickly disseminate analysis. Data visualization offers a means to quickly disseminate, understand, and interpret datasets, facilitating evidence-driven decision making through increased access to information.OBJECTIVES: This paper describes the development and evaluation of a framework for data dashboard design, to visualize datasets produced at a demographic health surveillance site. The aim of this research was to produce a comprehensive, reusable, and scalable dashboard design framework to fit the unique requirements of the context.METHODS: The framework was developed and implemented at a demographic surveillance platform at the Africa Health Research Institute, in KwaZulu-Natal, South Africa. This context represents an exemplar implementation for the use of data dashboards within a population health-monitoring setting. Before the full launch, an evaluation study was undertaken to assess the effectiveness of the dashboard framework as a data communication and decision-making tool. The evaluation included a quantitative task evaluation to assess usability and a qualitative questionnaire exploring the attitudes to the use of dashboards.RESULTS: The evaluation participants were drawn from a diverse group of users working at the site (n=20), comprising of community members, nurses, scientific and operational staff. Evaluation demonstrated high usability for the dashboard across user groups, with scientific and operational staff having minimal issues in completing tasks. There were notable differences in the efficiency of task completion among user groups, indicating varying familiarity with data visualization. The majority of users felt that the dashboards provided a clear understanding of the datasets presented and had a positive attitude to their increased use.CONCLUSIONS: Overall, this exploratory study indicates the viability of the data dashboard framework in communicating data trends within population surveillance setting. The usability differences among the user groups discovered during the evaluation demonstrate the need for the user-led design of dashboards in this context, addressing heterogeneous computer and visualization literacy present among the diverse potential users present in such settings. The questionnaire highlighted the enthusiasm for increased access to datasets from all stakeholders highlighting the potential of dashboards in this context.