• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Interactive visualization of public health indicators to support policymaking: An exploratory study.用于支持政策制定的公共卫生指标交互式可视化:一项探索性研究。
Online J Public Health Inform. 2017 Sep 8;9(2):e190. doi: 10.5210/ojphi.v9i2.8000. eCollection 2017.
2
Visualization and analytics tools for infectious disease epidemiology: a systematic review.传染病流行病学的可视化与分析工具:一项系统综述
J Biomed Inform. 2014 Oct;51:287-98. doi: 10.1016/j.jbi.2014.04.006. Epub 2014 Apr 16.
3
Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication.通过交互式数据事实增强可视化效果以促进解读与交流。
IEEE Trans Vis Comput Graph. 2018 Aug 20. doi: 10.1109/TVCG.2018.2865145.
4
Design and development of a linked open data-based health information representation and visualization system: potentials and preliminary evaluation.基于链接开放数据的健康信息表示和可视化系统的设计与开发:潜力与初步评估。
JMIR Med Inform. 2014 Oct 25;2(2):e31. doi: 10.2196/medinform.3531.
5
Informing the Design of Direct-to-Consumer Interactive Personal Genomics Reports.为直接面向消费者的交互式个人基因组学报告设计提供信息。
J Med Internet Res. 2015 Jun 12;17(6):e146. doi: 10.2196/jmir.4415.
6
Living Liquid: Design and Evaluation of an Exploratory Visualization Tool for Museum Visitors.生活之液:博物馆参观者探索性可视化工具的设计与评估。
IEEE Trans Vis Comput Graph. 2012 Dec;18(12):2799-808. doi: 10.1109/TVCG.2012.244.
7
Interactive visualizations for decision support: Application of Rasmussen's abstraction-aggregation hierarchy.用于决策支持的交互式可视化:拉斯穆森抽象-聚合层次结构的应用
Appl Ergon. 2017 Mar;59(Pt B):541-553. doi: 10.1016/j.apergo.2016.03.006. Epub 2016 Apr 4.
8
Understanding Visualization Authoring Techniques for Genomics Data in the Context of Personas and Tasks.在人物角色和任务背景下理解基因组学数据的可视化创作技术。
IEEE Trans Vis Comput Graph. 2025 Jan;31(1):1180-1190. doi: 10.1109/TVCG.2024.3456298. Epub 2024 Dec 3.
9
Insufficient evidence for interactive or animated graphics for communicating probability.用于传达概率的互动或动画图形证据不足。
J Am Med Inform Assoc. 2024 Nov 1;31(11):2760-2765. doi: 10.1093/jamia/ocae123.
10
Policy-makers' views on translating burden of disease estimates in health policies: bridging the gap through data visualization.政策制定者对在卫生政策中转化疾病负担估计值的看法:通过数据可视化缩小差距。
Arch Public Health. 2021 Feb 4;79(1):17. doi: 10.1186/s13690-021-00537-z.

引用本文的文献

1
Utilisation of routine health information system and associated factors among health workers in public health institutions of Gofa zone, South Ethiopia regional state:a mixed-methods study.埃塞俄比亚南部地区戈法区公共卫生机构卫生工作者对常规健康信息系统的使用情况及相关因素:一项混合方法研究
BMJ Health Care Inform. 2025 Jul 22;32(1):e101142. doi: 10.1136/bmjhci-2024-101142.
2
Visual communication of public health data: a scoping review.公共卫生数据的视觉传播:一项范围综述
Front Digit Health. 2025 Apr 24;7:1555231. doi: 10.3389/fdgth.2025.1555231. eCollection 2025.
3
Surveillance of non-communicable diseases: What matters to users? A qualitative interview study.非传染性疾病监测:对用户而言重要的是什么?一项定性访谈研究。
J Health Monit. 2024 Dec 18;9(4):e12919. doi: 10.25646/12919. eCollection 2024 Dec.
4
Human factors methods in the design of digital decision support systems for population health: a scoping review.人群健康数字化决策支持系统设计中的人为因素方法:范围综述。
BMC Public Health. 2024 Sep 10;24(1):2458. doi: 10.1186/s12889-024-19968-8.
5
Privacy-Enhancing Technologies for Chronic Disease Data: User Experience in Developing a Secured Virtual Data Center Workstation Environment.用于慢性病数据的隐私增强技术:开发安全虚拟数据中心工作站环境的用户体验
Comput Inform Nurs. 2023 Oct 1;41(10):739-742. doi: 10.1097/CIN.0000000000001076.
6
Data visualisation in scoping reviews and evidence maps on health topics: a cross-sectional analysis.健康主题范围综述和证据图谱中的数据可视化:一项横断面分析。
Syst Rev. 2023 Aug 17;12(1):142. doi: 10.1186/s13643-023-02309-y.
7
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State.将以人为中心的设计融入公共卫生数据仪表板:从纽约州性传播感染数据仪表板的开发中获得的经验教训。
J Am Med Inform Assoc. 2024 Jan 18;31(2):298-305. doi: 10.1093/jamia/ocad102.
8
The Importance of Data Visualization in Combating a Pandemic.数据可视化在抗击疫情中的重要性。
Am J Public Health. 2022 Jun;112(6):893-895. doi: 10.2105/AJPH.2022.306857. Epub 2022 May 2.
9
Policy-makers' views on translating burden of disease estimates in health policies: bridging the gap through data visualization.政策制定者对在卫生政策中转化疾病负担估计值的看法:通过数据可视化缩小差距。
Arch Public Health. 2021 Feb 4;79(1):17. doi: 10.1186/s13690-021-00537-z.
10
Democratizing Access to Community-Based Survey Findings Through Dynamic Data Visualizations.通过动态数据可视化实现社区调查结果的民主化访问。
Arch Sex Behav. 2021 Jan;50(1):119-128. doi: 10.1007/s10508-020-01806-8. Epub 2020 Sep 9.

本文引用的文献

1
How can knowledge exchange portals assist in knowledge management for evidence-informed decision making in public health?知识交流门户如何协助公共卫生领域基于证据的决策进行知识管理?
BMC Public Health. 2014 May 12;14:443. doi: 10.1186/1471-2458-14-443.
2
Visualization and analytics tools for infectious disease epidemiology: a systematic review.传染病流行病学的可视化与分析工具:一项系统综述
J Biomed Inform. 2014 Oct;51:287-98. doi: 10.1016/j.jbi.2014.04.006. Epub 2014 Apr 16.
3
Measuring value for money: a scoping review on economic evaluation of health information systems.衡量性价比:健康信息系统经济评估的范围综述。
J Am Med Inform Assoc. 2013 Jul-Aug;20(4):792-801. doi: 10.1136/amiajnl-2012-001422. Epub 2013 Feb 15.
4
Empirical Studies in Information Visualization: Seven Scenarios.信息可视化的实证研究:七个场景
IEEE Trans Vis Comput Graph. 2012 Sep;18(9):1520-36. doi: 10.1109/TVCG.2011.279. Epub 2011 Dec 6.
5
A randomized controlled trial evaluating the impact of knowledge translation and exchange strategies.一项评价知识转化和交流策略影响的随机对照试验。
Implement Sci. 2009 Sep 23;4:61. doi: 10.1186/1748-5908-4-61.

用于支持政策制定的公共卫生指标交互式可视化:一项探索性研究。

Interactive visualization of public health indicators to support policymaking: An exploratory study.

作者信息

Zakkar Moutasem, Sedig Kamran

机构信息

Insight Lab, Western University, Canada.

School of Public Health and Health Systems, University of Waterloo, Canada.

出版信息

Online J Public Health Inform. 2017 Sep 8;9(2):e190. doi: 10.5210/ojphi.v9i2.8000. eCollection 2017.

DOI:10.5210/ojphi.v9i2.8000
PMID:29026455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5630277/
Abstract

UNLABELLED

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

未标注

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。

方法

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。

结果

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。

结论

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。