Practice and reflection on quality control of physical data in population cohort studies
10.3969/j.issn.1673-9701.2025.01.015
- VernacularTitle:关于人群队列研究中体格数据质量把控的实践与思考
- Author:
Shujuan CHEN
1
;
Dan HU
;
Mingda WANG
;
Xia ZHAO
;
Shaorong SHE
;
Lei CHEN
Author Information
1. 四川大学华西医院呼吸和共病研究院,四川 成都 610041
- Publication Type:Journal Article
- Keywords:
Cohort study;
Data quality;
Physical examination
- From:
China Modern Doctor
2025;63(1):63-66
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate and further optimize the quality control measures in the field of queue by comparing and analyzing the quality of physical data before and after optimization.Methods 17 420 physical data collected in 2020 and 12 762 physical data collected in 2021 were used in the natural population cohort study of West China Hospital of Sichuan University.The data in 2020(before optimization)and 2021(after optimization)were evaluated and compared from multiple dimensions such as normalization,completeness,logic,accuracy and consistency.Results Compared to 2020,data quality in 2021 showed a significant improvement.The proportion of abnormal data decreased significantly from 1978(11.35%)to 276(2.16%),and the difference was statistically significant(P<0.05).Specifically,the number of abnormal blood pressure data decreased from 143(0.82%)to 67(0.52%),and waist circumference data decreased significantly from 1777(10.20%)to 113(0.89%).In terms of data integrity and logical evaluation,the performance in 2021 was also generally better than that in 2020,and the difference was also statistically significant(P<0.05).Conclusion It is very important to optimize and adjust the collection process of physical data and realize integrated information system management for improving data quality.
