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DONG Zhao-hua, SHEN Jia-jie, ZHANG Yi-han, SUN Hua-jun. Survey of similarity of drug trade names and registered trade names[J]. Journal of Pharmaceutical Practice and Service, 2011, 29(4): 306-308,311.
Citation: DONG Zhao-hua, SHEN Jia-jie, ZHANG Yi-han, SUN Hua-jun. Survey of similarity of drug trade names and registered trade names[J]. Journal of Pharmaceutical Practice and Service, 2011, 29(4): 306-308,311.

Survey of similarity of drug trade names and registered trade names

  • Received Date: 2011-02-22
  • Rev Recd Date: 2011-03-18
  • Objective To describe the factors of confusions between drug trade names and drug registered names that might lead to medication errors. Methods Drug trade names data are collected from the shared database at State Food and Drug Administration website. The drug names are matched to find out if they were sound-alike or look-alike. Results 7 323 trade name records were collected and 3 462(47.3%) of them were those one trade name for one drug products. Further experiment indicates that 10 groups trade names among the records were different international nonproprietary names that share one trade name with each other. 70 groups were look-alike and 122 groups were sound-alike. 316 of 384 randomly selected trade names were registered. Some registered names were the same as some trade names but for different international nonproprietary name drugs respectively. Conclusion The factors that different names share one drug, different drugs share one name, sound-alike names and look-alike names are common, which is thought to be the contributing cause of medication errors. More attention should be paid on drug trade names to minimize the risk of wrong-selecting, wrong-dispensing and wrong-administrating drugs. Regulation should be established on designing appropriate drug names as well.
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Survey of similarity of drug trade names and registered trade names

Abstract: Objective To describe the factors of confusions between drug trade names and drug registered names that might lead to medication errors. Methods Drug trade names data are collected from the shared database at State Food and Drug Administration website. The drug names are matched to find out if they were sound-alike or look-alike. Results 7 323 trade name records were collected and 3 462(47.3%) of them were those one trade name for one drug products. Further experiment indicates that 10 groups trade names among the records were different international nonproprietary names that share one trade name with each other. 70 groups were look-alike and 122 groups were sound-alike. 316 of 384 randomly selected trade names were registered. Some registered names were the same as some trade names but for different international nonproprietary name drugs respectively. Conclusion The factors that different names share one drug, different drugs share one name, sound-alike names and look-alike names are common, which is thought to be the contributing cause of medication errors. More attention should be paid on drug trade names to minimize the risk of wrong-selecting, wrong-dispensing and wrong-administrating drugs. Regulation should be established on designing appropriate drug names as well.

DONG Zhao-hua, SHEN Jia-jie, ZHANG Yi-han, SUN Hua-jun. Survey of similarity of drug trade names and registered trade names[J]. Journal of Pharmaceutical Practice and Service, 2011, 29(4): 306-308,311.
Citation: DONG Zhao-hua, SHEN Jia-jie, ZHANG Yi-han, SUN Hua-jun. Survey of similarity of drug trade names and registered trade names[J]. Journal of Pharmaceutical Practice and Service, 2011, 29(4): 306-308,311.
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