ReviewDrug safety2003
Medication errors caused by confusion of drug names.
Review in Drug safety, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 102 citations in OpenAlex.
- ChEBI: re-engineered for a sustainable future.Nucleic acids research · 2026Article
- The effectiveness of using text and pictograms on oral rehydration, dry-mixture sachet labels.African journal of primary health care & family medicine · 2021Article
- Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Dispensing errors from look-alike drug trade names.European journal of hospital pharmacy : science and practice · 2018Article
- Look-alike, sound-alike medication errors: a novel case concerning a Slow-Na, Slow-K prescribing error.International medical case reports journal · 2015Article
- Observational
- Factors contributing to the identification and prevention of incorrect drug prescribing errors in outpatient setting.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2014Article
- A comparison of the effects of different typographical methods on the recognizability of printed drug names.Drug safety · 2014Article
- Rethinking adherence: a health literacy-informed model of medication self-management.Journal of health communication · 2013Article
- Look-alike and sound-alike medicines: risks and 'solutions'.International journal of clinical pharmacy · 2012Article
- Article
- Erroneous administration of vinblastine.Pharmacy world & science : PWS · 2009Article
- What is drug safety?: celebrating 20 years of the Drug Safety journal.Drug safety · 2006Article
- Infovigilance: reporting errors in official drug information sources.Pharmacy world & science : PWS · 2005Article
- Designing safe drug names.Drug safety · 2005Review
- Therapeutic drug monitoring as a tool to identify medication errors.Drug safety · 2004Article
- Inclusion of salt form on prescription medication labeling as a source of patient confusion: a pilot study.Pharmacy practiceArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many drug names can look or sound like other drug names, which leads to confusion and potentially harmful medication errors. While various types of drug names exist, brand (proprietary) names are most commonly confused. Examples of the numerous drug names that have been confused because they look and/or sound similar include Celebrex (celecoxib), Cerebyx (fosphenytoin), and Celexa (citalopram). Factors such as poor handwriting and clinical similarity may exacerbate the problem. This problem can be alleviated through actions by regulatory agencies, pharmaceutical manufacturers, healthcare professionals, and patients. To address the problem, significant changes in the pharmaceutical regulatory process have occurred in the US and Europe.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.