Characterization of adult obesity in Florida using the OneFlorida clinical research consortium
Characterization of adult obesity in Florida using the OneFlorida clinical research consortium
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DOI：
10.1002/osp4.274
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发表时间：
2018-08-01
影响因子：
2.2
通讯作者：
Gurka, M. J.
中科院分区：
文献类型：
--
作者：
Filipp, S. L.;Cardel, M.;Gurka, M. J.
随着肥胖率和与肥胖相关的医疗费用的增加，政策制定者必须了解肥胖在整个人口中的范围。目的本研究试图使用全州临床数据研究网络One佛罗里达临床研究联盟提供的电子健康记录(EHR)来描述成年人肥胖的特征，该网络包含佛罗里达州超过1200万患者的声明和EHR数据。主要目的是比较佛罗里达州基于EHR的肥胖率和行为危险因素监测系统(BRFSS)获得的肥胖率。方法使用One佛罗里达州患者数据(2012-2016)中的身体质量指数来表征20-79岁成年人的肥胖率。One佛罗里达州和BRFSS(2013)的肥胖率按人口统计学和按县报告。结果在One佛罗里达州1,344,015名符合纳入标准的EHR数据中，肥胖率为37.1%。与男性相比，女性肥胖率更高。不同种族/民族的肥胖率不同，非裔美国人肥胖率最高(45.7%)。佛罗里达州的肥胖率一直高于BRFSS的肥胖率(总体27.8%)。结论利用医院系统和健康合作伙伴合作提供的临床大数据为肥胖程度提供了一个重要的观点。虽然这些数据只能从医疗保健用户那里获得，但它们的范围很大，可以直接测量，而且比通常使用的国家数据来源更早获得。
IntroductionWith obesity rates and obesity-related healthcare costs increasing, policy makers must understand the scope of obesity across populations.ObjectiveThis study sought to characterize adult obesity using electronic health records (EHRs) available from a statewide clinical data research network, the OneFlorida Clinical Research Consortium, which contains claims and EHR data from over 12 million patients in Florida. The primary aim was to compare EHR-based Florida obesity rates with those rates obtained from the Behavioural Risk Factor Surveillance System (BRFSS).MethodsBody mass index from OneFlorida patient data (2012-2016) was used to characterize obesity among adults 20-79 years old. Obesity rates from both OneFlorida and BRFSS (2013) were reported by demographics and by county.ResultsAmong the 1,344,015 adults in OneFlorida with EHR data and who met inclusion criteria, the obesity rate was 37.1%. Women had higher obesity rates compared with men. Obesity rates varied within racial/ethnic groups, with the highest rate among African-Americans (45.7%). Obesity rates from OneFlorida were consistently higher than those found in BRFSS (overall 27.8%).ConclusionsUtilizing clinical big data available through hospital system and health partner collaborations provides an important view of the extent of obesity. Although these data are available only from healthcare users, they are large in scope, directly measured and are available sooner than commonly used national data sources.