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利用大数据改善中国心血管疾病护理及治疗效果:中国鄞州电子健康记录研究(CHERRY研究)方案

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

作者信息

Lin Hongbo, Tang Xun, Shen Peng, Zhang Dudan, Wu Jinguo, Zhang Jingyi, Lu Ping, Si Yaqin, Gao Pei

机构信息

Yinzhou District Center for Disease Control and Prevention, Ningbo, China.

Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.

出版信息

BMJ Open. 2018 Feb 12;8(2):e019698. doi: 10.1136/bmjopen-2017-019698.

DOI:10.1136/bmjopen-2017-019698
PMID:29440217
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5829949/
Abstract

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).

摘要

引言

基于电子健康记录(EHR)的数据包含丰富的个体层面纵向测量信息,并且正成为全球临床风险预测中越来越常见的数据源。然而,中国基于EHR的队列研究较少。利用EHR进行研究需要全面了解大数据集中的数据链接、管理和数据质量,这带来了独特的分析机遇和挑战。本研究的目的是提供一个框架,以在中国建立一个独特的综合EHR数据库用于科研。

方法与分析

中国鄞州电子健康记录研究(CHERRY研究)将在中国东部沿海地区的区域健康信息系统中提取个体参与者数据,以建立一项基于人群的纵向双向队列研究,用于心血管护理和结局研究。2009年共有1053565名18岁以上的中国成年人在健康信息系统中注册,2009年1月1日至2015年12月31日期间有23394人死亡。该研究将包括来自多项流行病学调查的信息;慢性病管理的EHR;以及健康管理、临床、实验室、药物和电子病历(EMR)数据库。通过与区域疾病监测系统、慢性病管理系统和EMR(基于国际疾病分类第十版诊断代码)的记录链接,对致命和非致命临床事件进行随访。CHERRY研究将提供一个独特的平台,并作为中国心血管风险预测和人群管理以及心血管事件一级和二级预防的宝贵大数据资源。

伦理与传播

CHERRY研究于2016年4月获得北京大学机构审查委员会(IRB00001052 - 16011)批准。研究结果将通过发表的期刊文章、会议和研讨会报告以及研究网站(http://www.cherry-study.org)进行传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe9/5829949/a529651bf5ce/bmjopen-2017-019698f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe9/5829949/3fd04924e907/bmjopen-2017-019698f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe9/5829949/a529651bf5ce/bmjopen-2017-019698f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe9/5829949/3fd04924e907/bmjopen-2017-019698f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe9/5829949/a529651bf5ce/bmjopen-2017-019698f02.jpg

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