Determination of potential drug-drug interactions in prescription orders dispensed in a community pharmacy setting using Micromedex® and Lexicomp®: A retrospective observational study
Abstract
Background Community pharmacists have a role in identifying drug-drug interactions (DDIs) when processing prescription orders and dispensing medications to patients. The harmful effects of DDIs can be prevented or minimized by using an electronic DDI checker to screen for potential DDIs (pDDIs). However, different DDI checkers have variable rates of detecting pDDIs. Aim To estimate the prevalence of pDDIs in prescriptions dispensed in a community pharmacy setting using two electronic DDI databases and to evaluate the association between the pDDIs and contributory factors. Method Eligible prescription orders dispensed by a community pharmacy chain in Qatar from January to July 2020 were included in this retrospective observational study. For each prescription, Micromedex ® and Lexicomp ® were simultaneously used to identify pDDIs, and the interactions categorized based on severity and risk rating. Results Seven hundred-twenty prescriptions met the inclusion criteria, of which Micromedex ® and Lexicomp ® respectively identified 125 prescriptions (17.4%) and 230 prescriptions (31.9%) as having at least one pDDI. Moderate strength of agreement was found between Lexicomp ® and Micromedex ® in identifying pDDIs (Cohen's Kappa = 0.546). Micromedex ® classified 61.6% of DDIs as major severity, while Lexicomp ® classified 30.8% as major severity. The number of concurrent medications per prescription was significantly and positively associated with pDDI. Conclusion This study demonstra…
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When additional information was needed, panel members could consult three drug interaction compendia, Lexicomp, Micromedex and Stockley's Drug Interactions, as supporting knowledge sources.
“When additional information was needed, panel members could consult three drug interaction compendia (Lexicomp, Micromedex and Stockley's Drug Interactions) as supporting knowledge sources [37,38].”
From Comparing Artificial Intelligence (ChatGPT, Gemini, DeepSeek) and Oral Surgeons in Detecting Clinically Relevant Drug–Drug Interactions in Dental Therapy (2025) · cites this paper as [37]
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Tayeb, S., Barausse, C., Pellegrino, G., Sansavini, M., Pistilli, R., & Felice, P. (2025) · Applied Sciences · doi:10.3390/app152312851 · Cited by 12 · see citing works
- Authors
- Abbas, A., Al-Shaibi, S., Sankaralingam, S., Awaisu, A., Kattezhathu, V. S., Wongwiwatthananukit, S., & Owusu, Y. B.
- Affiliations
- Qatar University (QA)
- University of Hawaii at Hilo (US)
- Corresponding author
- Owusu, Yaw B.
- Venue
- International Journal of Clinical Pharmacy
- Published
- 2021-11-23
- Volume
- 44
- Issue
- 2
- Pages
- 348-356
- ISSN
- 2210-7703 (ISSN-L)
- 2210-7711
- OpenAlex
- W3215321870
- Cited by
- 29
- References
- 0
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 6 · 2023: 6
- FWCI
- 1.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Clinical Pharmacy (publishedVersion)
- PubMed (publishedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacy and Medical Practices
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- drug-drug interactions, potential drug-drug interactions, Micromedex, Lexicomp, community pharmacy, medication dispensing, drug safety, polypharmacy, interaction severity, Qatar
- MeSH terms
- Drug Interactions, Humans, Pharmacies, Pharmacists, Retrospective Studies, Prescriptions
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