@Article{信息:doi 10.2196 / / jmir。8961，作者=“He, Zhe and Bian, Jiang and Carretta, Henry J and Lee, Jiwon and Hogan, William R and Shenkman, Elizabeth and Charness, Neil”，标题=“佛罗里达州和美国老年人中多种慢性疾病的患病率:OneFlorida数据基金会和全国住院患者样本的比较分析”，期刊=“J医学互联网研究”，年=“2018”，月=“Apr”，日=“12”，卷=“20”，数=“4”，页=“e137”，关键词=“医疗信息学;慢性疾病;合并症;背景:患有多种慢性疾病的老年患者往往面临着不断增加的医疗保健需求和随之而来的更高的医疗费用，这对患者、护理人员和医疗保健系统构成了巨大的经济负担。电子健康记录系统的日益普及和临床数据的激增为流行率研究和人口健康评估提供了新的机会。过去几年见证了越来越多的临床研究网络专注于从电子健康记录中建立大量的临床数据，并声称使进行临床研究更容易，成本更低。目的:本研究的目的是比较佛罗里达州和美国老年人常见慢性疾病和多种慢性疾病的患病率，数据来自OneFlorida临床研究联盟和医疗成本与利用项目(HCUP)国家住院患者样本(NIS)。方法:我们首先分析了3个数据集中老年人的基本人口统计学特征——2013年OneFlorida数据、2013年HCUP NIS数据和2012年至2016年OneFlorida合并数据。然后，我们分析了这25种慢性疾病在3个数据集中的患病率。 We stratified the analysis of older adults with hypertension, the most prevalent condition. Additionally, we examined trends (ie, overall trends and then by age, race, and gender) in the prevalence of discharge records representing multiple chronic conditions over time for the OneFlorida (2012-2016) and HCUP NIS cohorts (2003-2013). Results: The rankings of the top 10 prevalent conditions are the same across the OneFlorida and HCUP NIS datasets. The most prevalent multiple chronic conditions of 2 conditions among the 3 datasets were---hyperlipidemia and hypertension; hypertension and ischemic heart disease; diabetes and hypertension; chronic kidney disease and hypertension; anemia and hypertension; and hyperlipidemia and ischemic heart disease. We observed increasing trends in multiple chronic conditions in both data sources. Conclusions: The results showed that chronic conditions and multiple chronic conditions are prevalent in older adults across Florida and the United States. Even though slight differences were observed, the similar estimates of prevalence of chronic conditions and multiple chronic conditions across OneFlorida and HCUP NIS suggested that clinical research data networks such as OneFlorida, built from heterogeneous data sources, can provide rich data resources for conducting large-scale secondary data analyses. ", issn="1438-8871", doi="10.2196/jmir.8961", url="//www.mybigtv.com/2018/4/e137/", url="https://doi.org/10.2196/jmir.8961", url="http://www.ncbi.nlm.nih.gov/pubmed/29650502" }