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Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model
BACKGROUND: The 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 Regis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734965/ https://www.ncbi.nlm.nih.gov/pubmed/29259940 |
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author | ABOLHASSANI, Nazanin AKBARI SARI, Ali RASHIDIAN, Arash RASTEGARPANAH, Mansoor |
author_facet | ABOLHASSANI, Nazanin AKBARI SARI, Ali RASHIDIAN, Arash RASTEGARPANAH, Mansoor |
author_sort | ABOLHASSANI, Nazanin |
collection | PubMed |
description | BACKGROUND: The 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. METHODS: First, 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. RESULTS: The 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. CONCLUSION: The 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. |
format | Online Article Text |
id | pubmed-5734965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-57349652017-12-19 Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model ABOLHASSANI, Nazanin AKBARI SARI, Ali RASHIDIAN, Arash RASTEGARPANAH, Mansoor Iran J Public Health Original Article BACKGROUND: The 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. METHODS: First, 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. RESULTS: The 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. CONCLUSION: The 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. Tehran University of Medical Sciences 2017-12 /pmc/articles/PMC5734965/ /pubmed/29259940 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article ABOLHASSANI, Nazanin AKBARI SARI, Ali RASHIDIAN, Arash RASTEGARPANAH, Mansoor Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model |
title | Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model |
title_full | Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model |
title_fullStr | Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model |
title_full_unstemmed | Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model |
title_short | Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model |
title_sort | assessment of orthographic similarity of drugs names between iran and overseas using the solar model |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734965/ https://www.ncbi.nlm.nih.gov/pubmed/29259940 |
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