Methodology for Creating a Risk Management System for Drug-Drug Interactions

• Published in: Antibiotiki i himioterapiâ Vol. 68; no. 11-12; pp. 49 - 58
• Main Authors: Taube, A. A., Zhuravleva, M. V.
• Format: Journal Article
• Language: English; Russian
• Published: LLC "Publishing House OKI" 27-03-2024
• Subjects: adverse reaction; clinical decision support system; drug interaction databases; drug-drug interactions; pharmacotherapy
• ISSN: 0235-2990
• DOI: 10.37489/0235-2990-2023-68-11-12-49-58

Drug-drug interactions (DDIs) are a major cause of hospital admissions, accounting for 16.6% of ADRs and about 1% of all hospital admissions. Polypharmacy is on the rise, with a Swedish population-based study of people aged ;;;75 years showing that the prevalence of polypharmacy increased from 27% in 1988 to 54% in 2001 and to 65% in 2006. The aim of the study was to analyze the databases on DDI and to assess the possibility of their use in managing the risks of pharmacotherapy in the Russian Federation and the EAEU. Results. The main DDI databases are characterized. The degree of inconsistency in data on the number of DDI, severity and clinical recommendations was determined. The basic requirements for the completeness of information in databases are formulated. The necessity to harmonize approaches to providing information about DDI, as well as the need to create local databases for medical organizations were revealed. A computer program has been created to minimize the risks of DDI in clinical practice, for expert and scientific purposes. Conclusions. Databases and programs for DDI have different goals, a different set of data on DDI with varying degrees of evidence, differences in assessment of severity, likelihood of occurrence, clinical recommendations for treatment and correction of DDI. The variability of information is due to the lack of a unified system for assessing the severity and likelihood of potential negative consequences of DDI; different purposes for creation; difference in budgets at creation. This situation leads to warning redundancy and physician fatigue from insignificant or unproven DDIs. Based on the identified requirements for local databases, a computer program for modeling rational pharmacotherapy for lower respiratory tract infections was created and received a certificate of state registration.