Quality control and measures of China National Birth Cohort
10.3760/cma.j.cn112338-20201211-01403
- VernacularTitle:中国国家出生队列研究质量控制策略与措施
- Author:
Yankai XIA
1
;
Tao JIANG
;
Cong LIU
;
Jiangbo DU
;
Yuan LIN
;
Yangqian JIANG
;
Yang ZHAO
;
Kun ZHOU
;
Xiaoyu LIU
;
Guangfu JIN
;
Hongxia MA
;
Zhibin HU
;
Hongbing SHEN
Author Information
1. 南京医科大学公共卫生学院教育部现代毒理学重点实验室 211166
- Keywords:
Birth cohort;
Quality control;
Cohort
- From:
Chinese Journal of Epidemiology
2021;42(4):575-578
- CountryChina
- Language:Chinese
-
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.
