Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) Study

被引:89
作者
Lin, Hongbo [1 ]
Tang, Xun [2 ]
Shen, Peng [1 ]
Zhang, Dudan [2 ]
Wu, Jinguo [3 ]
Zhang, Jingyi [3 ]
Lu, Ping [3 ]
Si, Yaqin [2 ]
Gao, Pei [2 ]
机构
[1] Yinzhou Dist Ctr Dis Control & Prevent, Ningbo, Zhejiang, Peoples R China
[2] Peking Univ, Hlth Sci Ctr, Dept Epidemiol & Biostat, Beijing, Peoples R China
[3] Wonders Informat Co Ltd, Shanghai, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
MYOCARDIAL-INFARCTION; PUBLIC-HEALTH; RISK; DISEASE; PROFILE; MORTALITY; COUNTRIES; STROKE; COHORT;
D O I
10.1136/bmjopen-2017-019698
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Data based on electronic health records (EHRs) are rich with individual-level longitudinal measurement information and are becoming an increasingly common data source for clinical risk prediction worldwide. However, few EHR-based cohort studies are available in China. Harnessing EHRs for research requires a full understanding of data linkages, management, and data quality in large data sets, which presents unique analytical opportunities and challenges. The purpose of this study is to provide a framework to establish a uniquely integrated EHR database in China for scientific research. Methods and analysis The CHinese Electronic health Records Research in Yinzhou (CHERRY) Study will extract individual participant data within the regional health information system of an eastern coastal area of China to establish a longitudinal population-based ambispective cohort study for cardiovascular care and outcomes research. A total of 1 053 565 Chinese adults aged over 18 years were registered in the health information system in 2009, and there were 23 394 deaths from 1 January 2009 to 31 December 2015. The study will include information from multiple epidemiological surveys; EHRs for chronic disease management; and health administrative, clinical, laboratory, drug and electronic medical record (EMR) databases. Follow-up of fatal and non-fatal clinical events is achieved through records linkage to the regional system of disease surveillance, chronic disease management and EMRs (based on diagnostic codes from the International Classification of Diseases, tenth revision). The CHERRY Study will provide a unique platform and serve as a valuable big data resource for cardiovascular risk prediction and population management, for primary and secondary prevention of cardiovascular events in China. Ethics and dissemination The CHERRY Study was approved by the Peking University Institutional Review Board (IRB00001052-16011) in April 2016. Results of the study will be disseminated through published journal articles, conferences and seminar presentations, and on the study website (http://www.cherry-study.org).
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页数:11
相关论文
共 34 条
[1]   New evidence on the impact of China's New Rural Cooperative Medical Scheme and its implications for rural primary healthcare: multivariate difference-in-difference analysis [J].
Babiarz, Kimberly Singer ;
Miller, Grant ;
Yi, Hongmei ;
Zhang, Linxiu ;
Rozelle, Scott .
BMJ-BRITISH MEDICAL JOURNAL, 2010, 341 :929
[2]   The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement [J].
Benchimol, Eric I. ;
Smeeth, Liam ;
Guttmann, Astrid ;
Harron, Katie ;
Moher, David ;
Petersen, Irene ;
Sorensen, Henrik T. ;
von Elm, Erik ;
Langan, Sinead M. .
PLOS MEDICINE, 2015, 12 (10)
[3]   Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health [J].
Birkhead, Guthrie S. ;
Klompas, Michael ;
Shah, Nirav R. .
ANNUAL REVIEW OF PUBLIC HEALTH, VOL 36, 2015, 36 :345-359
[4]   Lessons from the East - China's Rapidly Evolving Health Care System [J].
Blumenthal, David ;
Hsiao, William .
NEW ENGLAND JOURNAL OF MEDICINE, 2015, 372 (14) :1281-1285
[5]   Both low and high temperature may increase the risk of stroke mortality [J].
Chen, Renjie ;
Wang, Cuicui ;
Meng, Xia ;
Chen, Honglei ;
Thuan Quoc Thach ;
Wong, Chit-Ming ;
Kan, Haidong .
NEUROLOGY, 2013, 81 (12) :1064-1070
[6]   Comparison of hospital variation in acute myocardial infarction care and outcome between Sweden and United Kingdom: population based cohort study using nationwide clinical registries [J].
Chung, Sheng-Chia ;
Sundstrom, Johan ;
Gale, Chris P. ;
James, Stefan ;
Deanfield, John ;
Wallentin, Lars ;
Timmis, Adam ;
Jernberg, Tomas ;
Hemingway, Harry .
BMJ-BRITISH MEDICAL JOURNAL, 2015, 351
[7]  
Collins GS, 2015, ANN INTERN MED, V162, P55, DOI [10.7326/M14-0697, 10.1136/bmj.g7594, 10.1002/bjs.9736, 10.1016/j.jclinepi.2014.11.010, 10.7326/M14-0698, 10.1016/j.eururo.2014.11.025, 10.1038/bjc.2014.639, 10.1186/s12916-014-0241-z]
[8]   General cardiovascular risk profile for use in primary care - The Framingham Heart Study [J].
D'Agostino, Ralph B. ;
Vasan, Ramachandran S. ;
Pencina, Michael J. ;
Wolf, Philip A. ;
Cobain, Mark ;
Massaro, Joseph M. ;
Kannel, William B. .
CIRCULATION, 2008, 117 (06) :743-753
[9]   Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER) [J].
Denaxas, Spiros C. ;
George, Julie ;
Herrett, Emily ;
Shah, Anoop D. ;
Kalra, Dipak ;
Hingorani, Aroon D. ;
Kivimaki, Mika ;
Timmis, Adam D. ;
Smeeth, Liam ;
Hemingway, Harry .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2012, 41 (06) :1625-1638
[10]   Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review [J].
Goldstein, Benjamin A. ;
Navar, Ann Marie ;
Pencina, Michael J. ;
Ioannidis, John P. A. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2017, 24 (01) :198-208