Hypertension in Florida: Data From the OneFlorida Clinical Data Research Network

被引:15
|
作者
Smith, Steven M. [1 ,2 ]
McAuliffe, Kathryn [3 ]
Hall, Jaclyn M. [3 ]
McDonough, Caitrin W. [1 ]
Gurka, Matthew J. [3 ]
Robinson, Temple O. [4 ,5 ]
Sacco, Ralph L. [6 ,7 ]
Pepine, Carl [8 ]
Shenkman, Elizabeth [3 ]
Cooper-DeHoff, Rhonda M. [1 ,4 ,5 ,8 ]
机构
[1] Univ Florida, Coll Pharm, Dept Pharmacotherapy & Translat Res, Gainesville, FL 32611 USA
[2] Univ Florida, Coll Med, Dept Community Hlth & Family Med, Gainesville, FL 32611 USA
[3] Univ Florida, Coll Med, Dept Hlth Outcomes & Biomed Informat, Gainesville, FL 32611 USA
[4] Bond Community Hlth Ctr Inc, Tallahassee, FL USA
[5] Florida State Univ, Coll Med, Tallahassee, FL 32306 USA
[6] Univ Miami, Miller Sch Med, Dept Neurol, Miami, FL USA
[7] Univ Miami, Miller Sch Med, Dept Publ Hlth Sci, Miami, FL USA
[8] Univ Florida, Coll Med, Dept Med, Div Cardiovasc Med, Gainesville, FL 32611 USA
来源
基金
美国国家卫生研究院;
关键词
NUTRITION EXAMINATION SURVEY; BLOOD-PRESSURE CONTROL; UNITED-STATES ADULTS; NATIONAL-HEALTH; TRENDS; PREVALENCE;
D O I
10.5888/pcd15.170332
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction Hypertension is highly prevalent in Florida, but surveillance through the Behavioral Risk Factor Surveillance System (BRFSS) is limited to self-reported hypertension and does not capture data on undiagnosed hypertension or measure blood pressure. We aimed to characterize the hypertensive population in the One-Florida Clinical Research Consortium by using electronic health records and provide proof-of-concept for using routinely collected clinical data to augment surveillance efforts. Methods We identified patients with hypertension, defined as having at least 1 outpatient visit from January 2012 through June 2016 with an ICD-9-CM or ICD-10-CM diagnosis code for hypertension, or in the absence of a diagnosis, an elevated blood pressure (systolic >= 140 mm Hg or diastolic >= 90 mm Hg) recorded in the electronic health record at the most recent visit. The hypertensive population was characterized and mapped by zip code of patient residence to county prevalence. Results Of 838,469 patients (27.9% prevalence) who met the criteria for hypertension, 68% had received a diagnosis and 61% had elevated blood pressure. The geographic distribution of hypertension differed between diagnosed hypertension (highest prevalence in northern Florida) and undiagnosed hypertension (highest prevalence along eastern coast, in southern Florida, and in some rural western Panhandle counties). Uncontrolled hypertension was concentrated in southern Florida and the western Panhandle. Conclusion Our use of clinical data, representing usual care for Floridians, allows for identifying cases of uncontrolled hypertension and potentially undiagnosed cases, which are not captured by existing surveillance methods. Large-scale pragmatic research networks, like OneFlorida, may be increasingly important for tailoring future health care services, trials, and public health programs.
引用
收藏
页数:12
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