Literature DB >> 14499517

Effects of frequency and similarity neighborhoods on pharmacists' visual perception of drug names.

Bruce L Lambert1, Ken-Yu Chang, Prahlad Gupta.   

Abstract

To minimize drug name confusion errors, regulators, drug companies, and clinicians need tools that help them predict which names are most likely to be involved in confusions. Two experiments, carried out in the United States, examined the effects of stimulus frequency (i.e., how frequently a target name is prescribed), neighborhood frequency (i.e., how frequently prescribed are the "neighbors" of the target name), and neighborhood density (how many names are within a fixed distance of the target name) on the probability of pharmacists making an error in a visual perceptual identification task. In both experiments, the task was to correctly identify a series of blurry drug names after a 3s presentation on a computer monitor. In the first experiment, 45 pharmacists viewed 160 typewritten names, incorrectly identifying 60.6% of them. Random effects regression revealed a significant beneficial effect of stimulus frequency and a detrimental effect of neighborhood density. Significant two-way interactions were observed between stimulus frequency and neighborhood density and neighborhood frequency and neighborhood density. In the second experiment, 37 pharmacists viewed 156 handwritten drug names, incorrectly identifying 45.7%. Random effects regression revealed significant main effects of stimulus frequency and neighborhood density. These were contained within a significant three-way interaction: The interaction between stimulus frequency and neighborhood density was present at high but not low neighborhood frequency. Objectively measurable frequency and neighborhood characteristics have predictable effects on errors in pharmacists' visual perception. Organizations that coin and evaluate drug names, as well as hospitals, pharmacies, and health systems, should consider these characteristics when assessing visually confusing names.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14499517     DOI: 10.1016/s0277-9536(03)00059-5

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  8 in total

1.  A system for multiattribute drug product comparison.

Authors:  Bruce L Lambert; Clement Yu; Mohanraj Thirumalai
Journal:  J Med Syst       Date:  2004-02       Impact factor: 4.460

2.  A classification of errors in lay comprehension of medical documents.

Authors:  Alla Keselman; Catherine Arnott Smith
Journal:  J Biomed Inform       Date:  2012-08-20       Impact factor: 6.317

Review 3.  Designing safe drug names.

Authors:  Bruce L Lambert; Swu-Jane Lin; Hiangkiat Tan
Journal:  Drug Saf       Date:  2005       Impact factor: 5.228

4.  Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model.

Authors:  Nazanin Abolhassani; Ali Akbari Sari; Arash Rashidian; Mansoor Rastegarpanah
Journal:  Iran J Public Health       Date:  2017-12       Impact factor: 1.429

5.  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

6.  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

7.  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

Review 8.  A systematic literature review of LASA error interventions.

Authors:  Rachel Bryan; Jeffrey K Aronson; Alison J Williams; Sue Jordan
Journal:  Br J Clin Pharmacol       Date:  2020-12-15       Impact factor: 3.716

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.