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
  • [31] The Louisiana Clinical Data Research Network: Leveraging Regional and National Resources to Improve Clinical Research Efficiency
    Parke, Courtney
    Cook, Julia
    Carton, Thomas
    Rao, Sohail
    OCHSNER JOURNAL, 2014, 14 (04): : 718 - +
  • [32] Peripartum women's perspectives on research study participation in the OneFlorida Clinical Research Consortium
    Xu, Ke
    Hsiao, Chu
    Ballard, Hailey
    Chachad, Nisha
    Kim, Thu
    Reeder, Callie
    Shenkman, Elizabeth A.
    Lemas, Dominick J.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2022, 226 (01) : S641 - S641
  • [33] A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens
    Jacobson, Rebecca S.
    Becich, Michael J.
    Bollag, Roni J.
    Chavan, Girish
    Corrigan, Julia
    Dhir, Rajiv
    Feldman, Michael D.
    Gaudioso, Carmelo
    Legowski, Elizabeth
    Maihle, Nita J.
    Mitchell, Kevin
    Murphy, Monica
    Sakthivel, Mayurapriyan
    Tseytlin, Eugene
    Weaver, JoEllen
    CANCER RESEARCH, 2015, 75 (24) : 5194 - 5201
  • [34] Surveying a New Multi-Institution Clinical Data Research Network
    Rosenman, Marc
    Madden, Margaret
    Oh, Elissa
    Goel, Satyender
    Kho, Abel
    MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS, 2017, 245 : 935 - 939
  • [35] A Multilevel Approach to Stakeholder Engagement in the Formulation of a Clinical Data Research Network
    Boyer, Alaina P.
    Fair, Alecia M.
    Joosten, Yvonne A.
    Dolor, Rowena J.
    Williams, Neely A.
    Sherden, Lisa
    Stallings, Sarah
    Smoot, Duane T.
    Wilkins, Consuelo H.
    MEDICAL CARE, 2018, 56 (10) : S22 - S26
  • [36] Objectively measured pediatric obesity prevalence using the OneFlorida Clinical Research Consortium
    Lemas, Dominick J.
    Cardel, Michelle I.
    Filipp, Stephanie L.
    Hall, Jaclyn
    Essner, Rebecca Z.
    Smith, Steven R.
    Nadglowski, Joseph
    Donahoo, W. Troy
    Cooper-DeHoff, Rhonda M.
    Nelson, David R.
    Hogan, William R.
    Shenkman, Elizabeth A.
    Gurka, Matthew J.
    Janicke, David M.
    OBESITY RESEARCH & CLINICAL PRACTICE, 2019, 13 (01) : 12 - 15
  • [37] Data connection: WWW.DATAMANAGER.BLOGSPOT.COM. A clinical research professionals and data manager network
    Laursen, HB
    Bellman, D
    McCrae, J
    Knutson, D
    Rogers, JM
    Manion, KL
    BIOLOGY OF BLOOD AND MARROW TRANSPLANTATION, 2005, 11 (02) : 107 - 107
  • [38] A practical FAIRification workflow for clinical research data: challenges and solutions in the virus outbreak data network Brazil
    Oliveira, Natália Queiroz de
    Borges, Vânia
    Rodrigues, Henrique Fernandes
    Campos, Maria Luiza Machado
    Lopes, Giseli Rabello
    International Journal of Metadata, Semantics and Ontologies, 2023, 16 (04) : 278 - 297
  • [39] MOOC for Medical Big Data Research An Important Role in Hypertension Big Data Research
    Wang Xinyan
    Tian Livuan
    Xu Bo
    Wang Xueliang
    Wu Wenjun
    2015 IEEE FIRST INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (BIGDATASERVICE 2015), 2015, : 453 - 455
  • [40] CLINICAL CHARACTERISTICS OF HYPERTENSION WITH OBESITY IN KOREA: DATA FROM KOREAN HYPERTENSION REGISTRY (KorHR)
    Kim, Eung Ju
    Lee, Sunki
    Shin, Mi-Seong
    Choi, Suk-Won
    Cho, Eun Joo
    Lim, Sang Hyun
    Sung, Ki-Chul
    Jo, Sang-Ho
    Han, Seong Woo
    Yoo, Byung Soo
    Park, Chang Gyu
    Ryu, Kyu-Hyung
    JOURNAL OF HYPERTENSION, 2016, 34 : E167 - E167