Kontsioti, Elpida ORCID: 0000-0002-4053-0220, Maskell, Simon ORCID: 0000-0003-1917-2913, Bensalem, Amina, Dutta, Bhaskar and Pirmohamed, Munir ORCID: 0000-0002-7534-7266
(2022)
Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources.
British Journal of Clinical Pharmacology, 88 (9).
pp. 4067-4079.
This is the latest version of this item.
Text
Brit J Clinical Pharma - 2022 - Kontsioti - Similarity and Consistency Assessment of Three Major Online Drug‐Drug.pdf - Author Accepted Manuscript Available under License : See the attached licence file. Download (1MB) | Preview |
|
Text
Similarity and consistency assessment of three major online.pdf - Published version Available under License : See the attached licence file. Download (10MB) |
Abstract
AIM: To explore the level of agreement on drug-drug interaction (DDI) information listed in three major online drug information resources (DIRs) in terms of: (1) interacting drug pairs; (2) severity rating; (3) evidence rating and (4) clinical management recommendations. METHODS: We extracted DDI information from the British National Formulary (BNF), Thesaurus, and Micromedex. Following drug name normalisation, we estimated the overlap of the DIRs. We annotated clinical management recommendations either manually, where possible, or through application of a machine learning algorithm. RESULTS: The DIRs contained 51,481 (BNF), 38,037 (Thesaurus), and 65,446 (Micromedex) drug pairs involved in DDIs. The number of common DDIs across the three DIRs was 6,970 (13.54% of BNF, 18.32% of Thesaurus, and 10.65% of Micromedex). Micromedex and Thesaurus overall showed higher levels of similarity in their severity ratings, while the BNF agreed more with Micromedex on the critical severity ratings and with Thesaurus on the least significant ones. Evidence rating agreement between BNF and Micromedex was generally poor. Variation in clinical management recommendations was also identified, with some categories (i.e. Monitor and Adjust dose) showing higher levels of agreement compared to others (i.e. Use with caution, Wash-out, Modify administration). CONCLUSIONS: There is considerable variation in the DDIs included in the examined DIRs, together with variability in categorisation of severity and clinical advice given. DDIs labelled as critical are more likely to appear in multiple DIRs. Such variability in information could have deleterious consequences for patient safety, and there is a need for harmonisation and standardisation.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | clinical decision support, clinical management of drug interactions, drug information, drug-drug interaction, drug-drug interaction software |
Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
Depositing User: | Symplectic Admin |
Date Deposited: | 07 Jun 2022 09:01 |
Last Modified: | 18 Jan 2023 21:01 |
DOI: | 10.1111/bcp.15341 |
Open Access URL: | https://bpspubs.onlinelibrary.wiley.com/doi/10.111... |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3155068 |
Available Versions of this Item
-
Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. (deposited 17 Jan 2022 09:14)
-
Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. (deposited 04 Apr 2022 08:30)
-
Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. (deposited 12 Apr 2022 13:40)
- Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. (deposited 07 Jun 2022 09:01) [Currently Displayed]
-
Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. (deposited 12 Apr 2022 13:40)
-
Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. (deposited 04 Apr 2022 08:30)