Chinese Journal of Pharmacovigilance ›› 2016, Vol. 13 ›› Issue (11): 676-677.

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Finding and Excluding Strategies for Duplicated Cases in National Adverse Drug Reaction Database

HOU Yong-fang1, LIU Wei1, WU Gui-zhi1, YE Xiao-fei2, *   

  1. 1.Center for Drug Reevaluation, CFDA, Beijing 100045, China;
    2.Department of Health Statistics, Second Military Medical University, Shanghai 200433, China
  • Received:2016-12-05 Revised:2016-12-05 Online:2016-11-20 Published:2016-12-05
  • Contact: 叶小飞,男,讲师,药物流行病学。E-mail: yexiaofei@smmu.edu.cn

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Abstract: Objective To study the finding and excluding strategies for duplicated cases in National ADR Database (NADRDB). Methods Using variable matching method to find duplicated cases in NADRDB (only 2014 data), and classify and analyze duplicated cases. Results 3 914 sets of duplicated cases were found. 3 966 duplicated cases, accounting for 0.3% of research data. Conclusion Duplicated cases in NADRDB can be found and excluded.

Key words: adverse drug reaction, duplicated cases, finding, excluding

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