Psycholinguistic tests predict real-world drug name confusion error rates: a cross-sectional experimental study
Lab-based psycholinguistic tests are associated with real-world drug name confusion error rates. Previous work showed that such tests were associated with error rates of specific look-alike sound-alike <i>pairs</i>, and the current work showed that lab-based error rates are also associated with an <i>individual</i> drug's <i>overall error rate</i>. Taken together, these studies validate the use of psycholinguistic tests in assessing the confusability of proposed drug names.
Authors
- William Galanter (ORCID: https://orcid.org/0000-0001-7811-5391)
- Michael J Gaunt
- Scott R. Schroeder (ORCID: https://orcid.org/0000-0003-0616-3276)
- Nicole Mirea (ORCID: https://orcid.org/0000-0001-9595-2378)
- Gordon D. Schiff (ORCID: https://orcid.org/0000-0002-2821-3994)
- Suzanne Falck
- Allen J. Vaida
- Bruce L Lambert (ORCID: https://orcid.org/0000-0002-5557-0831)
- Michelle Bryson Opfermann
- Christine Rash Foanio
Institutions
- Northwestern University (US)
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Hofstra University (US)
- University of Illinois Chicago (US)
- Northwestern University (PH)
- Neural Analytics (United States) (US)
- Novo Nordisk (United States) (US)
- Institute for Safe Medication Practices (US)
- Takeda (United States) (US)
- Takeda (Japan) (JP)
Publication Details
- Journal
- BMJ Quality & Safety
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1136/bmjqs-2024-017688
- Citations
- 2
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Agency for Healthcare Research and Quality