BMJ Open (May 2022)

Chinese Neonatal Network: a national protocol for collaborative research and quality improvement in neonatal care

  • ,
  • Chao Chen,
  • Li Li,
  • Ling Yang,
  • Dong Li,
  • Hong Jiang,
  • Li Ma,
  • Jie Yang,
  • Shoo K Lee,
  • Joseph Ting,
  • Qin Zhang,
  • Long Li,
  • Wenhao Zhou,
  • Lili Wang,
  • Huayan Zhang,
  • Dongmei Chen,
  • Yuan Shi,
  • Jiangqin Liu,
  • Liyan Zhang,
  • Deyi Zhuang,
  • Bin Yi,
  • Zhaoqing Yin,
  • Xiuyong Cheng,
  • Xiaoying Li,
  • Ling Liu,
  • Shuping Han,
  • Qin Zhou,
  • Hui Wu,
  • Kun Liang,
  • Yun Cao,
  • Mingxia Li,
  • Mingyan Hei,
  • Jianhua Sun,
  • Siyuan Jiang,
  • Xiaolu Ma,
  • Yanchen Wang,
  • Huiqing Sun,
  • Li-Zhong Du,
  • Shoo K. Lee,
  • Lizhong Du,
  • Falin Xu,
  • Xiuying Tian,
  • Yong Ji,
  • Zhankui Li,
  • Xindong Xue,
  • Chuanzhong Yang,
  • Sannan Wang,
  • Xirong Gao,
  • Changyi Yang,
  • Ruobing Shan,
  • Gang Qiu,
  • Xinnian Pan,
  • Youyan Zhao,
  • Wenqing Kang,
  • Xuqiang Ye,
  • Zhenlang Lin,
  • Jiahua Pan,
  • Xing Feng,
  • Pingyang Chen,
  • Yongjun Zhang,
  • Jinxing Feng,
  • Xinzhu Lin,
  • Yinping Qiu,
  • Liping Chen,
  • Hongxia Song,
  • Huiwen Huang,
  • Guofang Ding,
  • Jimei Wang,
  • Qianshen Zhang

DOI
https://doi.org/10.1136/bmjopen-2021-051175
Journal volume & issue
Vol. 12, no. 5

Abstract

Read online

Introduction The objective of the Chinese Neonatal Network (CHNN) is to provide a platform for collaborative research, outcomes evaluation and quality improvement for preterm infants with gestational age less than 32 weeks in China. The CHNN is the first national neonatal network and has the largest geographically representative cohort from neonatal intensive care units (NICUs) in China.Methods and analysis Individual-level data from participating NICUs will be collected using a unique database developed by the CHNN on an ongoing basis from January 2019. Data will be prospectively collected from all infants <32 weeks gestation or <1500 g birth weight at 58 participating NICUs. Infant outcomes and inter-institutional variations in outcomes will be examined and used to inform quality improvement measures aimed at improving outcomes. Information about NICU environmental and human resource factors and processes of neonatal care will also be collected and analysed for association with outcomes. Clinical studies, including randomised controlled trials will be conducted using the CHNN data platform.Ethics and dissemination This study was approved by the ethics review board of Children’s Hospital of Fudan University, which was recognised by all participating hospitals. Waiver of consent were granted at all sites. Only non-identifiable patient level data will be transmitted and only aggregate data will be reported in CHNN reports and publications.