Abstract
夏彦恺,蒋涛,刘聪,杜江波,林苑,蒋杨倩,赵杨,周昆,刘晓宇,靳光付,马红霞,胡志斌,沈洪兵.中国国家出生队列研究质量控制策略与措施[J].Chinese journal of Epidemiology,2021,42(4):575-578
中国国家出生队列研究质量控制策略与措施
Quality control and measures of China National Birth Cohort
Received:December 11, 2020  
DOI:10.3760/cma.j.cn112338-20201211-01403
KeyWord: 出生队列  质量控制  队列
English Key Word: Birth cohort  Quality control  Cohort
FundProject:国家重点研发计划(2016YFC1000200)
Author NameAffiliationE-mail
Xia Yankai Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China 
 
Jiang Tao State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China 
 
Liu Cong Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Du Jiangbo Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Lin Yuan State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China 
 
Jiang Yangqian Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Zhao Yang Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Zhou Kun Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Liu Xiaoyu Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China  
Jin Guangfu State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China 
 
Ma Hongxia State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China 
 
Hu Zhibin State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China 
 
Shen Hongbing State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China 
hbshen@njmu.edu.cn 
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Abstract:
      出生队列是研究孕前和孕期各种环境暴露因素与胎儿、婴幼儿、青少年健康之间关系的有效方法。出生队列建设周期长、环节众多,研究质量可能受到多种因素的影响。本文对中国国家出生队列建设过程中的各项质量保证和质量控制措施进行梳理,归纳总结建设经验。以期为相关队列研究提供经验,减少相关因素对队列研究的影响,提升队列研究质量。中国国家出生队列在质量保证的顶层设计方面采取一系列措施保障研究质量,包括研究中心筛选、成员管理系统开发、标准化操作流程制定及工作人员规范化培训;在质量控制方面,包括针对队列数据产生过程的实时、及时、定时质控,针对生物样本采集、处理及保存的全周期质控,以及针对参与工作人员的培训、督查和量化考核的全面立体质控。
English Abstract:
      Birth cohort is an effective method to explore the relationship between various prepregnant and pregnant exposures and the health of fetuses, infants and young children. It is a long construction period to build a birth cohort and the quality of research may be affected by many factors. This paper reviews the quality assurance and quality control measures in the process of China National Birth Cohort (CNBC), and summarizes the construction experience. We aim to provide experience for related cohort studies, which could improve the quality of cohort studies through removing the impact of related factors. CNBC adopted a series of measures to ensure the quality of research in the top-level design of quality assurance, including screening research center, developing member management system, formulating standard operating procedures and training staff by it. In terms of quality control, it includes real-time, timely and timing quality control for the process of data generation, full-cycle quality control for biological sample collection, processing, storage and comprehensive three-dimensional quality control for staff training, supervision and quantitative assessment.
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