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.
队列研究是流行病学研究的基本方法之一，随着心血管系统疾病等复杂性疾病病因研究的深入，大型自然人群队列研究成为医学研究热点。如何高效、安全地采集研究对象的数据是队列建设过程中亟待解决的重要问题。REDCap是一个开源、免费、高质量的临床研究数据采集与数据库构建管理系统，在大型人群队列研究中有广泛的应用前景。本文介绍队列研究基线调查及随访数据采集和管理基于该系统的解决方案，从建立数据工作组、数据采集、队列随访、现场应用等多方面进行梳理总结，为提高队列研究数据采集和管理效率、助力我国队列研究发展提供参考。.
Keywords: Data collection; Natural population-based cohort study; REDCap.