Literature DB >> 15924503

Designing safe drug names.

Bruce L Lambert1, Swu-Jane Lin, Hiangkiat Tan.   

Abstract

Recent observational studies of medication errors in community pharmacies suggest that 'wrong drug' errors, which occur when a patient receives a drug other than the one prescribed, may occur as many as 3.9 million times per year in the US. Similarity between drug product attributes, especially similarity between drug names, is thought to be a contributing cause of these errors. The challenge facing drug companies is to design new drug names that will not be confused with existing names. In this paper, we attempt to lay out a systematic approach to the design of safe drug names by characterising the process of design as a multiple-objective optimisation problem. We then identify and define the most important constraints (both technical and legal/regulatory) and objectives (such as meaning, memorability, and pronouncability) that a drug name must satisfy and critique methods for evaluating a given name with respect to each safety objective and constraint. There are a variety of preapproval tests that can be done on a name to test its vulnerability to confusion. These include computerised searches for existing similar names or products, soliciting expert judgements, doing traditional psycholinguistic tests on memory and perception and observing error rates during simulated ordering, dispensing and administration tasks. A different set of strategies is needed to prevent confusion between similar names that are already in use. Preventing confusion between already marketed products typically involves collecting voluntary reports of names involved in confusion errors, posting warnings and alerts both electronically and in areas where drugs are used, including the indication on the prescription, storing confusing drugs in different locations, improving lighting, providing magnifiers, removing one of the confusing drugs from the system or insisting on double-checking for products thought to be vulnerable to confusion.Finally, since no single design will be optimal with respect to all of the objectives, we describe several approaches to selecting one design from a set of competing alternatives. The pharmaceutical industry and the US FDA have taken important steps recently to improve the preapproval screening of new drug names, but a great deal of research still needs to be done to establish a valid scientific basis for these decisions.

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Year:  2005        PMID: 15924503     DOI: 10.2165/00002018-200528060-00003

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.228


  26 in total

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10.  Adult and infant perception of two English phones.

Authors:  J E Pegg; J F Werker
Journal:  J Acoust Soc Am       Date:  1997-12       Impact factor: 1.840

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  9 in total

1.  A comparison of the effects of different typographical methods on the recognizability of printed drug names.

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2.  Ambulatory care adverse events and preventable adverse events leading to a hospital admission.

Authors:  Donna M Woods; Eric J Thomas; Jane L Holl; Kevin B Weiss; Troyen A Brennan
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3.  Phonotactic probability of brand names: I'd buy that!

Authors:  Michael S Vitevitch; Alexander J Donoso
Journal:  Psychol Res       Date:  2011-08-26

4.  The influence of tall man lettering on drug name confusion: a laboratory-based investigation in the UK using younger and older adults and healthcare practitioners.

Authors:  Ruth Filik; Jessica Price; Iain Darker; David Gerrett; Kevin Purdy; Alastair Gale
Journal:  Drug Saf       Date:  2010-08-01       Impact factor: 5.606

5.  Preventing medication errors in community pharmacy: root-cause analysis of transcription errors.

Authors:  P Knudsen; H Herborg; A R Mortensen; M Knudsen; A Hellebek
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6.  Indication alerts intercept drug name confusion errors during computerized entry of medication orders.

Authors:  William L Galanter; Michelle L Bryson; Suzanne Falck; Rachel Rosenfield; Marci Laragh; Neeha Shrestha; Gordon D Schiff; Bruce L Lambert
Journal:  PLoS One       Date:  2014-07-15       Impact factor: 3.240

7.  Automated detection of wrong-drug prescribing errors.

Authors:  Bruce L Lambert; William Galanter; King Lup Liu; Suzanne Falck; Gordon Schiff; Christine Rash-Foanio; Kelly Schmidt; Neeha Shrestha; Allen J Vaida; Michael J Gaunt
Journal:  BMJ Qual Saf       Date:  2019-08-07       Impact factor: 7.035

8.  Patient Safety in Medication Nomenclature: Orthographic and Semantic Properties of International Nonproprietary Names.

Authors:  Rachel Bryan; Jeffrey K Aronson; Pius ten Hacken; Alison Williams; Sue Jordan
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

9.  Cognitive tests predict real-world errors: the relationship between drug name confusion rates in laboratory-based memory and perception tests and corresponding error rates in large pharmacy chains.

Authors:  Scott R Schroeder; Meghan M Salomon; William L Galanter; Gordon D Schiff; Allen J Vaida; Michael J Gaunt; Michelle L Bryson; Christine Rash; Suzanne Falck; Bruce L Lambert
Journal:  BMJ Qual Saf       Date:  2016-05-18       Impact factor: 7.035

  9 in total

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