Evidence map›Paper›PMID 29259940›Full record

ArticleIranian journal of public health2017

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

Nazanin Abolhassani, Ali Akbari Sari, Arash Rashidian, Mansoor Rastegarpanah

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Article in Iranian journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Nazanin AbolhassaniDept. of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ali Akbari SariDept. of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Arash RashidianDept. of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mansoor RastegarpanahDept. of Clinical Pharmacy, College of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recognition of patient safety is now occupying a prominent place on the health policy agenda since medical errors can result in adverse events. The existence of confusing drug names is one of the most common causes of medication errors. In Iran, the General Office of Trademarks Registry (GOTR), for four years (2010-2014) was responsible for approving drug proprietary names. This study aimed to investigate the performance of the GOTR in terms of drug names orthographic similarity using the SOLAR model.

methodsFirst, 100 names were randomly selected from the GOTR's database. Then, each name was searched through pharmaceutical websites including Martindale (the Complete Drug Reference published by Pharmaceutical Press), Drugs.com and Medicines Complete. Pair of drugs whose names look orthographically similar with different indications were identified. Then, the SOLAR model was utilized to determine orthographic similarity between all pair of drug names.

resultsThe mean of match values of these 100 pairs of drug was 77% indicating the high risk of similarity. The match value for most of the reviewed pairs (92%) was high (≥66%). This value was medium (≥ 33% and <66%) just for 8% of the pairs of drug. These results indicate high risk of confusion due to similarity of drug names.

conclusionThe stewardship of the GOTR in patient safety considerations is fundamentally problematic. Thus, as a best practice, we recommend that proprietary names of drugs be evaluated by an entity within the health system. While an entity within the health system should address patient safety considerations, the GOTR is responsible for intellectual property rights.

Indexed as

Drug proprietary namesGeneral office of trademarks registryIranOrthographic similarityPatient safetySolar model

Identifiers

PMID29259940
PMCPMC5734965

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