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电子数据采集系统REDCap在大型自然人群队列研究中的应用

Translated title of the contribution: Application of electronic data acquisition system REDCap in large natural population-based cohort studies
  • Xiangyu Gao
  • , Baibing Mi
  • , Wentao Wu
  • , Chenlu Wu
  • , Mintnin Li
  • , Yezhou Liu
  • , Hao Jiang
  • , Pengbo Wang
  • , Lingxia Zeng
  • , Shaonong Dang
  • , Hong Yan
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Cohort study is one of the basic methods used in epidemiological research. With the development of the etiological analysis of complex diseases such as cardiovascular diseases, large natural population-based cohort study has become a popular topic in medical research. In the process of cohort development, one of the important issues is to ensure the efficiency and safety on data collection. As a database management system, with open source, free clinical research data collection and high quality, REDCap can widely be applied in large population-based cohort studies. This article summarizes the baseline survey and follow-up procedures on cohort studies and introduces a REDCap-system-based solution for data collection and management. Contents on the establishment of data working groups, data collection, cohort follow-up methods and field application are also discussed in this paper, in order to improve the efficiency of data collection and management in cohort study to help the development of cohort study in China.

Translated title of the contributionApplication of electronic data acquisition system REDCap in large natural population-based cohort studies
Original languageChinese (Traditional)
Pages (from-to)1542-1549
Number of pages8
JournalChinese Journal of Epidemiology
Volume41
Issue number9
DOIs
StatePublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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