通过信息可视化来使大数据变得人性化,并详细介绍健康的社会决定因素
Amanda L Joseph1,2, Helen Monkman1, Simon R Minshall1
1School of Health Information Science, University of Victoria, Canada.
Studies in health technology and informatics
|June 22, 2023
概括
这项研究检查了COVID-19影响中的种族和民族差异,使用数据可视化来突出边缘化个体在医疗保健中的经历. 它旨在使数据变得人性化,并揭示护理方面的差异.
科学领域:
- 公共卫生 公共卫生
- 健康差距 研究 研究 研究 研究
- 在医疗保健中的数据可视化.
背景情况:
- COVID-19 流行病对特定的人口群体造成了不成比例的影响.
- 健康的社会决定因素,包括种族和民族差异,是理解这些不平等影响的关键因素.
- 现有的数据往往无法捕捉受影响个人的生活经历.
研究的目的:
- 为了使数字COVID-19数据变得人性化和个性化.
- 为了说明边缘化个体的微观和宏观观点.
- 创建一个可视化综合体验 (VCE) 图表,以全面了解护理连续性的情况.
主要方法:
- COVID-19人口数据的分层化.
- 使用三个数据可视化工具:人格,旅程地图和桑基图.
- 开发一个可视化综合体验 (VCE) 图.
主要成果:
- VCE图有效地可视化了边缘化个体的复杂旅程.
- 对个人经验的微观洞察力与宏观人口趋势相结合.
- 数据可视化突出了医疗保健系统中的特定差异和挑战.
结论:
- 通过人物和旅程地图可视化数据,使COVID-19对不同人群的影响变得人性化.
- VCE图提供了一种新的方法来理解和解决健康差异.
- 这种方法可以为有针对性的干预提供信息,以改善公平的医疗保健准入和结果.
相关概念视频
Dimensions of Health and Illness
7.5K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.5K
Health Literacy
4.1K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
4.1K
Overview of Biostatistics in Health Sciences
544
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
544
Principles of Disease Surveillance
131
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
131
Models of Health Promotion and Illness Prevention I
2.1K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.1K
Models of Health Promotion and Illness Prevention II
1.6K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
1.6K


