从公平,以数据为基础的应对COVID-19中学习:将知识转化为未来的行动和准备
Morgen Stanzler1, Johanna Figueroa1, Andrew F Beck2,3
1Institute for Healthcare Improvement Boston Massachusetts USA.
Learning health systems
|January 22, 2024
概括
有效的公共卫生危机管理需要可访问的数据,公众信任,可适应的系统和社区联盟. 这些要素对于明智的决策和未来的流行病准备至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 社区健康 社区健康
背景情况:
- 随着COVID-19的爆发,人们在利用社区级数据进行公共卫生危机管理方面面临着挑战.
- 当地公共卫生决策受阻于创建有效的数据驱动学习系统的困难.
- 医疗保健合作伙伴召开会议,分享经验,并确定管理公共卫生危机的解决方案.
研究的目的:
- 确定利用数据和学习系统的关键工具和流程,以支持在COVID-19大流行期间公平的公共卫生决策.
- 通过对公共卫生领导人的定性采访,探索实现群体免疫力的理论驱动因素.
- 完善变革理论,并根据集体经验和见解开发一个社区保护仪表板工具.
主要方法:
- 通过对美国各地16名公共卫生和社区领导人的9次半结构电话采访,对理论驱动力的定性探索.
- 分析面试回复,以确定有效公共卫生响应的关键主题.
- 达拉斯和辛辛那提的合作伙伴对COVID-19经验的反思.
主要成果:
- 四个主要主题出现了:实时,可访问的数据平衡透明度和隐私;持续的公众信任;可适应的基础设施;和凝聚力的社区联盟.
- 修订了变革理论,强调社区协作和建立信任.
- 改进了社区保护仪表板工具.
结论:
- 公共卫生和社区领导人之间就管理公共卫生响应的基本数据和学习系统组件达成广泛共识.
- 结果为未来的公共卫生危机和人口健康倡议中数据利用提供了指导.
相关概念视频
01:18Steps in Outbreak Investigation
131
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
131
01:26Principles of Disease Surveillance
97
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...
97
01:22Healthcare Associated Infections II: Preventive Measures
2.6K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.6K
01:25Statistical Methods for Analyzing Epidemiological Data
367
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
367
01:26Introduction to Epidemiology
732
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
732
01:25Strategies for Assessing and Addressing Confounding
101
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
101