Chinese Journal of Pharmacovigilance ›› 2022, Vol. 19 ›› Issue (1): 7-12.
DOI: 10.19803/j.1672-8629.2022.01.02

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Expert consensus on design and statistical analysis to evaluate drug safety using routinely collected health data

WANG Wen1,2, LIU Mei1,2, HE Qiao1,2, TIAN Chunhua3, SONG Haibo3, WANG Tao3, TAN Jing1,2, REN Yan1,2, GAO Pei4, PENG Xiaoxia5, WEN Zehuai6, SHU Xiaochen7, ZOU Kang1,2, SHEN Chuanyong3#, SUN Xin1,2,*   

  1. 1Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu Sichuan 610041, China;
    2NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Haikou Hainan 570100, China;
    3Center for Drug Reevaluation, NMPA/NMPA, Key Laboratory for Research and Evaluation of Pharmacovigilance, Beijing 100022, China;
    4Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing 100191, China;
    5Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China;
    6Key Unit of Methodology in Clinical Research, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou Guangdong 510120, China;
    7Department of Epidemiology and Biostatistics, School of Public Health, Medical College Soochow University, Suzhou Jiangsu 215123, China
  • Received:2021-09-30 Online:2022-01-15 Published:2022-01-20

Abstract: As an important source for real world data, routinely collected health data (RCD) have been widely used for drug safety evaluation. However, the production of trustworthy evidence informing drug safety regulatory decision still have substantial challenges, such as inadequate research capacity in design and analysis. In this expert consensus, we introduced the concept and applications of RCD in drug safety evaluation; summarize the issues and proposed recommendations for study design and analysis. We hope this paper may improve the quality of production and use of evidence generating from RCD.

Key words: real world data, drug safety evaluation, routinely collected health data

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