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
相关论文
共 50 条
  • [41] Real-world data and clinical research: The complement data from randomized trials
    Maisonneuve, Herve
    Babany, Gerard
    PRESSE MEDICALE, 2015, 44 (06): : 586 - 589
  • [42] Analysis of Baseline Data from Two Multicenter Clinical Sarcoidosis Trials of the Foundation for Sarcoidosis Research Clinical Sarcoidosis Network
    Judson, M. A.
    Culver, D. A.
    Beaumont, J. L.
    Hamzeh, N. Y.
    Chen, E. S.
    Sweiss, N.
    Valeyre, D.
    Victorson, D.
    Baughman, R. P.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2018, 197
  • [43] Medication-Related Osteonecrosis of the Jaw in Cancer Patients: Result from the OneFlorida Clinical Research Consortium
    Yang, Guang
    Williams, Roy
    Wang, Lishu
    Farhadfar, Nosha
    Chen, Yiqing
    Loiacono, Alexander T.
    Bian, Jiang
    Holliday, Lexie Shannon
    Katz, Joseph
    Gong, Yan
    JOURNAL OF BONE AND MINERAL RESEARCH, 2022, 37 (12) : 2466 - 2471
  • [44] eHOP Clinical Data Warehouse: From a Prototype to the Creation of an Inter-Regional Clinical Data Centers Network
    Madec, Julia
    Bouzille, Guillaume
    Riou, Christine
    Van Hille, Pascal
    Merour, Christian
    Artigny, Marie-Lisen
    Delamarre, Denis
    Raimbert, Veronique
    Lemordant, Pierre
    Cuggia, Marc
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 1536 - 1537
  • [45] Prevalence of Multiple Chronic Conditions Among Older Adults in Florida and the United States: Comparative Analysis of the OneFlorida Data Trust and National Inpatient Sample
    He, Zhe
    Bian, Jiang
    Carretta, Henry J.
    Lee, Jiwon
    Hogan, William R.
    Shenkman, Elizabeth
    Charness, Neil
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2018, 20 (04)
  • [46] Engaging patients, clinicians, and the community in a Clinical Data Research Network: Lessons learned from the CAPriCORN CDRN
    Tambor, Ellen
    Shalowitz, Madeleine
    Harrington, Joseph M.
    Hull, Kevin
    Watson, Natalie
    Sital, Shelly
    Al Naber, Jennifer
    Miller, Doriane
    LEARNING HEALTH SYSTEMS, 2019, 3 (02):
  • [47] Effect of Obesity on Incident Childhood Asthma: Results from the National PEDSnet Clinical Data Research Network
    Lang, J.
    Hossain, M.
    Wysocki, T.
    Bunnell, T.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2018, 197
  • [48] The evolution in clinical data management - from clinical data managers to clinical data scientists
    Gurd, Andy
    Pharmaceutical Manufacturing and Packing Sourcer, 2024, : 11 - 14
  • [49] Research on Network Data Security Management in the Age of Big Data
    Yan, Cheng
    2019 4TH INTERNATIONAL WORKSHOP ON MATERIALS ENGINEERING AND COMPUTER SCIENCES (IWMECS 2019), 2019, : 597 - 601
  • [50] An interoperable data architecture for data exchange in a biomedical research network
    Crichton, D
    Kincaid, H
    Downing, GJ
    Srivastava, S
    Hughes, JS
    FOURTEENTH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2001, : 65 - 72