Listen carefully: The risk of error in spoken medication orders

Bruce L. Lambert*, Laura Walsh Dickey, William M. Fisher, Robert D. Gibbons, Swu Jane Lin, Paul A. Luce, Conor T. McLennan, John W. Senders, Clement T. Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Clinicians and patients often confuse drug names that sound alike. We conducted auditory perception experiments in the United States to assess the impact of similarity, familiarity, background noise and other factors on clinicians' (physicians, family pharmacists, nurses) and laypersons' ability to identify spoken drug names. We found that accuracy increased significantly as the signal-to-noise (S/N) ratio increased, as subjective familiarity with the name increased and as the national prescribing frequency of the name increased. For clinicians only, similarity to other drug names reduced identification accuracy, especially when the neighboring names were frequently prescribed. When one name was substituted for another, the substituted name was almost always a more frequently prescribed drug. Objectively measurable properties of drug names can be used to predict confusability. The magnitude of the noise and familiarity effects suggests that they may be important targets for intervention. We conclude that the ability of clinicians and lay people to identify spoken drug names is influenced by signal-to-noise ratio, subjective familiarity, prescribing frequency, and the similarity neighborhoods of drug names.

Original languageEnglish (US)
Pages (from-to)1599-1608
Number of pages10
JournalSocial Science and Medicine
Volume70
Issue number10
DOIs
StatePublished - May 2010

Funding

This research was supported in part by grant #1 R01 HS011609 from the Agency for Healthcare Research and Quality . The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. The authors acknowledge assistance of David Lewis, David Tcheng, Robert LaVigne, Darren Toh, Teresa Markis, and Meghana Desai. We are also indebted to the study participants from the American Association of Family Physicians, the American Pharmacists Association, the Academy of Medical Surgical Nurses, and the Cleveland State University community. Drs. Lambert and Yu own a company that helps organizations predict and prevent drug name confusions. Dr. Lambert consults in the area of drug name confusion.

Keywords

  • Auditory perception
  • Drug name confusion
  • Frequency
  • Medication error
  • Noise
  • Patient safety
  • Similarity
  • USA

ASJC Scopus subject areas

  • Health(social science)
  • History and Philosophy of Science

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