ArticleEuropean journal of hospital pharmacy : science and practice2026
How to manage the overwhelming amount of database-detected interactions? A focus group meeting study on the management of database-detected risks of drug interactions.
Article in European journal of hospital pharmacy : science and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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Who cites it
1 citing paper in PubMed.
- Polypharmacy, Potential Drug-Drug Interactions and Medication Non-Adherence in Patients with Multiple Sclerosis: A Longitudinal Study.Neurology and therapy · 2026Article
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Authors and funding
16 authors.
Funding
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Abstract
objectivesDatabase-assisted screening may help detect the risks of drug interactions, but less than 10% of flagged interactions have clinical manifestations, potentially leading to alert fatigue among healthcare providers. To address this issue, this study aimed to develop a concise framework to support the management of database-indicated interaction risks.
methodsA grounded theory approach was used to design, evaluate and develop the framework. Participants included healthcare professionals and laypersons with experience using narrow therapeutic index medications, as well as individuals recommended by them. Two focus group discussions were conducted (N
resultsParticipants identified key decision-making questions for the framework, including the evidence base for interacting drugs, severity and documentation level of the interaction, availability of safer alternatives, and the presence of confounding factors. The framework was considered useful and, following refinement, potentially suitable for clinical implementation. A key insight was that integration into healthcare curricula is essential for achieving long-term impact. Overall, the proposed tool may assist in managing interaction risks in diverse clinical scenarios and reduce alert fatigue among healthcare professionals.
conclusionAlthough further clinical validation is needed, the framework provides a foundation for improving the management of database-detected drug interactions.
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