ANALYSIS OF DATA QUALITY ON ADVERSE DRUG REACTIONS AND OF METHODS FOR ITS IMPROVEMENT

Abstract

This article presents the results of quality analysis of data on adverse drug reactions (ADRs) for groups of drugs, which are most frequently discussed by users of Internet resources. Several Russian-language resources were used as data sources. An open database MedDRA, translated into Russian, was used as a database of ADRs. To collect information about ADRs from Internet resources, a rule-based algorithm has been developed and implemented. Venn diagrams, multigraphs of pairwise as well as interaction scaling analysis were used to compare data on ADRs obtained from different sources. To assess the quality of the data, conditionally objective indicators were used, such as relevance, integrity, compatibility, measurability, and source characteristic. As a result, significant violations of the integrity and measurability of data were identified, and a comparative assessment of the characteristics of data sources was carried out. The ways of improving the quality of data on ADRs have been formulated.