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The aim of the review article was to highlight the methodologies for assessing the financial costs of adverse drug reactions exemplified by the Russian Federation and Brazil.Materials and methods: for a comparative analysis, materials from open sources were used. The study of the experience of methods used for assessing the burden of adverse drug reactions, was carried out using the system for calculating payments for medical care by clinical-statistical and clinical-profile groups, the methodology for assessing the severity of adverse events of the US National Cancer Institute, drug-associated problems, and “the decision tree” model.Results. When comparing the costs of ADR management in the Russian Federation and Brazil, the following results have been obtained: in the Russian Federation, the “cost” of reaction can be estimated only for a limited number of nosological groups that are regulated by the classification of diseases by clinical and statistical groups; in Brazil, when predicting the costs of adverse reactions management, the combination of “the decision tree” method and the Delphi method is used. In the Russian Federation, the cost of the 3rd and above severity adverse event (according to CTCAE v. 4.03), varies from 26,849.22 up to 26,196.37 RUB in the North-West region (St. Petersburg). In Brazil, the cost of ADR ranges from 13 USD (the best scenario for the patient) to 574 USD (the worst scenario for the patient), which is about 975 and 43,000 RUB, respectively. The introduction of methods that make it possible to predict the development and potential outcomes of adverse drug reactions, as well as taking into account the experiences of foreign colleagues in their modeling, will reduce economic costs in the Russian Federation at the federal level.Conclusion: for the economic value analysis and further forecasting, an improvement of existing methodologies is required. The models used in the Russian Federation (“the decision tree”, classification of diseases by clinical groups, Markov model) do not take into account the time factor, therefore, when planning the analysis of potential costs for adverse reactions, it is necessary to reinforce the methods with such tools as QALY, YLL, and YLD.
The aim of the review article was to highlight the methodologies for assessing the financial costs of adverse drug reactions exemplified by the Russian Federation and Brazil.Materials and methods: for a comparative analysis, materials from open sources were used. The study of the experience of methods used for assessing the burden of adverse drug reactions, was carried out using the system for calculating payments for medical care by clinical-statistical and clinical-profile groups, the methodology for assessing the severity of adverse events of the US National Cancer Institute, drug-associated problems, and “the decision tree” model.Results. When comparing the costs of ADR management in the Russian Federation and Brazil, the following results have been obtained: in the Russian Federation, the “cost” of reaction can be estimated only for a limited number of nosological groups that are regulated by the classification of diseases by clinical and statistical groups; in Brazil, when predicting the costs of adverse reactions management, the combination of “the decision tree” method and the Delphi method is used. In the Russian Federation, the cost of the 3rd and above severity adverse event (according to CTCAE v. 4.03), varies from 26,849.22 up to 26,196.37 RUB in the North-West region (St. Petersburg). In Brazil, the cost of ADR ranges from 13 USD (the best scenario for the patient) to 574 USD (the worst scenario for the patient), which is about 975 and 43,000 RUB, respectively. The introduction of methods that make it possible to predict the development and potential outcomes of adverse drug reactions, as well as taking into account the experiences of foreign colleagues in their modeling, will reduce economic costs in the Russian Federation at the federal level.Conclusion: for the economic value analysis and further forecasting, an improvement of existing methodologies is required. The models used in the Russian Federation (“the decision tree”, classification of diseases by clinical groups, Markov model) do not take into account the time factor, therefore, when planning the analysis of potential costs for adverse reactions, it is necessary to reinforce the methods with such tools as QALY, YLL, and YLD.
Objective: using the example of data for 2019–2020 in the Rostov region, to analyze the characteristics of spontaneous reports (SR) of adverse drug reactions (ADRs), as well as to assess their correlation with the individual characteristics of patients and the drugs used. Materials and methods: The object of a retrospective descriptive study was 234 SR about ADRs registered in the Rostov region in 2019-2020. Results: highest number of SR about ADRs in 2019–2020 were associated with drugs from the group "Nervous system, "Alimentary tract and inclusion metabolism" and "Antineoplastic and immunomodulators". In 2019, as well as in 2020, there was a statistically significant correlation between the indicators of the drug group and the type about ADRs, the age of the patient and the outcome of the developed ADRs. In addition, in females, a significant relationship was established between the criterion for the severity about ADRs and its outcome. Conclusions: the results obtained during the implementation of this study include the identification of common values and prerequisites for the development about ADRs in 2019 and 2020, and therefore can be taken into account when assessing a risk-based algorithm for the exclusion and emergency of identifying ADRs. This, in turn, inevitably constitutes and personalizes the choice of pharmacotherapy, balanced in terms of "efficacy-safety".
INTRODUCTION. Postmarketing surveillance is the main mechanism to monitor and evaluate the safety of drugs approved for widespread clinical use. This mechanism provides up-to-date information on adverse drug reactions and facilitates the implementation of necessary measures to prevent or minimize the risks associated with pharmacotherapy. Marketing authorization holders should regularly conduct searches for and analyses of drug safety data from all available sources. The lack of practical recommendations for selecting relevant information sources complicates the development of an optimal strategy for collecting drug safety data necessary for timely detection of changes in the safety profile of a drug that may affect the benefit–risk ratio.AIM. This study aimed to select the most appropriate methods for collecting drug safety information from the open sources used to monitor the safety profiles of approved drugs and assess their benefit–risk ratios.DISCUSSION. The main sources of new information on the safety of drugs include pharmacovigilance databases, websites of regulatory authorities, publications in medical scientific journals, and real-world clinical practice. According to the analysis results, the most widely used databases are the World Health Organization (WHO) VigiBase database, the European Union (EU) EudraVigilance database, and the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). This article also discusses the capabilities and interfaces of various applications for working with safety data, as well as the conditions for accessing databases. Additionally, the article provides detailed instructions on how to search for safety information on the websites of the European Medicines Agency (EMA) and FDA, which are considered to be the most reliable sources of information. Further, the article provides an overview of reputable medical journals most likely to publish articles on adverse drug reactions. In addition, the article covers bibliographic databases and search engines, which can simplify the search for scientific publications. Systematic monitoring of these sources can help marketing authorization holders to effectively assess the safety profiles and benefit–risk ratios of approved drugs.CONCLUSIONS. The use of recommended data sources can optimize the process of safety monitoring, significantly increase the identification rate for potential risks of pharmacotherapy, and facilitate the timely development of measures to prevent these risks. This, in turn, can contribute to improving the safety of patients and the quality of medical care.
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