Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults

项目摘要 关于人群健康和来自电子健康的健康相关行为的准确的本地信息 记录可以支持制定有效的公共卫生计划和政策。理想情况下，公共卫生 决策者将拥有关于他们的人口的最新、全面、有代表性的信息 发球。不幸的是，用于社区评估的常用数据源没有做到这一点。近期 在采用电子健康记录方面的进展使公共卫生有可能获得 数据更及时、更准确。然而，目前尚不清楚更新的数据来源是否会使 改进了对人口健康的评估。在这个项目中，印第安纳大学的一个多学科团队 Regenstrief研究所和马里恩县公共卫生部门将使用综合的、有代表性的 电子健康数据，以生成按糖尿病类型、年龄、性别、 州和县一级的种族/民族和地理区域。将对这些估计进行可靠性评估 和有效性。这些估计将进一步与地方和州公共卫生官员分享，用于 解决该地区的糖尿病负担问题。

Project Summary Accurate, local information about population health and health related behaviors derived from electronic health records may support the development of effective public health programs and policies. Ideally, public health decision-makers would have up to date, comprehensive, representative information about the population they serve. Unfortunately, commonly used data sources for community assessment fall short of this. Recent advances in the adoption of electronic health records make it possible for public health to potentially access more timely and accurate data. However, it remains unclear whether newer sources of data will enable improved assessment of population health. In this project, a multidisciplinary team at Indiana University, the Regenstrief Institute, and the Marion County Public Health Department will use integrated, representative electronic health data to generate estimates of Type 1 and Type 2 diabetes by diabetes type, age, sex, race/ethnicity and geographic area at state and county levels. These estimates will be evaluated for reliability and validity. The estimates will further be shared with local and state public health officials for use in addressing diabetes burden in the region.