AUTHOR=Sun Jianhua , Cao Yun , Hei Mingyan , Sun Huiqing , Wang Laishuan , Zhou Wei , Chen Xiafang , Jiang Siyuan , Zhang Huayan , Ma Xiaolu , Wu Hui , Li Xiaoying , Shi Yuan , Gu Xinyue , Wang Yanchen , Yang Tongling , Lu Yulan , Zhou Wenhao , Chen Chao , Lee Shoo K. , Du Lizhong , The Chinese Neonatal Network , Lee Shoo K. , Chen Chao , Du Lizhong , Zhou Wenhao , Cao Yun , Xu Falin , Tian Xiuying , Zhang Huayan , Ji Yong , Li Zhankui , Shi Jingyun , Xue Xindong , Yang Chuanzhong , Chen Dongmei , Wang Sannan , Liu Ling , Gao Xirong , Wu Hui , Yang Changyi , Han Shuping , Shan Ruobing , Jiang Hong , Qiu Gang , Wei Qiufen , Cheng Rui , Kang Wenqing , Li Mingxia , Dai Yiheng , Wang Lili , Liu Jiangqin , Lin Zhenlang , Shi Yuan , Cheng Xiuyong , Pan Jiahua , Zhang Qin , Feng Xing , Zhou Qin , Li Long , Chen Pingyang , Li Xiaoying , Yang Ling , Zhuang Deyi , Zhang Yongjun , Sun Jianhua , Feng Jinxing , Li Li , Lin Xinzhu , Qiu Yinping , Liang Kun , Ma Li , Chen Liping , Zhang Liyan , Song Hongxia , Yin Zhaoqing , Hei Mingyan , Huang Huiwen , Yang Jie , Li Dong , Ding Guofang , Wang Jimei , Zhang Qianshen , Ma Xiaolu
TITLE=Data Quality Improvement and Internal Data Audit of the Chinese Neonatal Network Data Collection System
JOURNAL=Frontiers in Pediatrics
VOLUME=9
YEAR=2021
URL=https://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2021.711200
DOI=10.3389/fped.2021.711200
ISSN=2296-2360
ABSTRACT=Background: The Chinese Neonatal Network (CHNN) is a nationwide neonatal network that aims to improve clinical neonatal care quality and short- and long-term health outcomes of infants. This study aims to assess the quality of the Chinese Neonatal Network database by conducting an internal audit of data extraction.
Methods: A data audit was performed by independently replicating the data collection and entry process in all 58 tertiary neonatal intensive care units (NICU) participating in the CHNN. Eighty-eight data elements selected for re-abstraction were classified into three categories (critical, important, less important), and agreement rates for original and re-abstracted data were predefined. Three to five records were randomly selected at each site for re-abstraction, including one short- (0–7 days), two medium- (8–28 days), and two long-stay (more than 28 days) cases. Agreement rates for each data item were calculated for individual NICUs and across the network, respectively.
Results: A total of 283 cases and 24,904 data fields were re-abstracted. The agreement rates for original and re-abstracted data elements were 96.1% overall, and 97.2, 94.3, and 96.6% for critical, important, and less important data elements, respectively. Individual site variation for discrepancies ranged between 0.0 and 18.4% for all collected data elements.
Conclusion: The completeness, precision, and quality of data in the CHNN database are high, providing assurance for multipurpose use, including health service evaluation, quality improvement, clinical trials, and other research.