在公共卫生数据仪表板上代表性不足的人口:改善可用性和有用性的设计考虑
Bahareh Ansari1, Mehdi Barati, Xiaojun Yuan
1Author Affiliations: Organization, Work, and Leadership Department, Queen's Management School, Queen's University Belfast, Belfast , Northern Ireland (Dr Ansari); and Department of Information Science, University at Albany, Albany, New York (Mr Barati and Dr Yuan).
Journal of public health management and practice : JPHMP
|August 7, 2024
概括
公共卫生数据仪表板对少数群体的代表性不足,限制了它们的有用性. 实践者担心这会误解风险,侵蚀信任,并阻碍这些人群的资源分配.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 健康 公平 研究 健康 公平 研究
- 数据可视化 数据可视化
背景情况:
- 公共卫生数据仪表板往往缺乏足够的种族/民族少数群体和性/性别少数群体的代表性.
- 在保护隐私的同时,数据聚合和压制可能会限制仪表板用于识别特定人口风险和需求的实用性.
研究的目的:
- 调查公共卫生从业人员对少数群体在公共卫生数据仪表板上的代表性不足的担忧.
- 了解在可用性评估期间有限的数据表示的含义.
主要方法:
- 这是一项定性研究,涉及纽约州20名公共卫生从业人员.
- 通过虚拟观察仪表板使用情况和半结构化访谈收集的数据,通过专题分析进行分析.
主要成果:
- 实践者对性和性别少数群体以及种族和民族少数群体的代表性不足表示严重关切.
- 确定了关键主题:风险误解,人口与政府之间的不信任增加,潜在的资源分配不公平,以及未知的个人影响.
结论:
- 少数群体在公共卫生仪表板上的代表性不足给数据实用性和健康公平带来了重大挑战.
- 建议改进数据显示,以提高公共卫生仪表板对所有人群的有用性.
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