{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:40:18Z","timestamp":1780393218980,"version":"3.54.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,8]],"date-time":"2021-01-08T00:00:00Z","timestamp":1610064000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2021,1,8]],"date-time":"2021-01-08T00:00:00Z","timestamp":1610064000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Pharmacol Toxicol"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Comprehensive analysis of all available data in spontaneous reports (SRs) can reveal previously unidentified medication errors (MEs).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>To detect MEs, we performed a retrospective analysis of SRs submitted to the Russian pharmacovigilance database in the period from January 01, 2012, to August 01, 2014. This study evaluated SRs of cases where beta-lactam antibiotics were the suspected drug.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>A total of 3608 SRs were analyzed. MEswere detected in 1043 reports (28.9% of all cases). The total number of detected errors was 1214. Reporters themselves indicated MEs in 29 SRs. A term denoting an ME was selected in the \u201cAdverse Reactions\u201d section in 18 of these SRs, whereas in the other 11 reports information on the ME was found only in the \u201cCase narrative\u201d section.<\/jats:p>\n                <jats:p>MEs were associated with wrong indications in 32.5% of the cases; 61.0% of these cases were viral infections. Various dosing regimen violations constituted 29.7% of MEs. A contraindicated drug was administered in 17.3% of all detected MEs, most commonly to a patient with a history of allergy to the suspected drug or severe hypersensitivity reactions to other drugs of the same group.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Automatic identification of MEs in the pharmacovigilance database is sometimes precluded by the absence of a code for the respective episode in the \u201cAdverse Reactions\u201d section, even when the error was detected by the reporter. The most frequent types of MEs associated with the use of beta-lactams in Russia are the leading risk factors of growing bacterial resistance.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s40360-020-00470-x","type":"journal-article","created":{"date-parts":[[2021,1,8]],"date-time":"2021-01-08T21:02:48Z","timestamp":1610139768000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Detecting medication errors associated with the use of beta-lactams in the Russian Pharmacovigilance database"],"prefix":"10.1186","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3340-2052","authenticated-orcid":false,"given":"Anna V.","family":"Kuzmina","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irina L.","family":"Asetskaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergey K.","family":"Zyryanov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vitaliy A.","family":"Polivanov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,8]]},"reference":[{"key":"470_CR1","unstructured":"European Medicines Agency. Medication errors. http:\/\/www.ema.europa.eu\/ema\/index.jsp?curl=pages\/special_topics\/general\/general_content_000570.jsp&mid=WC0b01ac0580659655 Accessed 10 Jul 2018."},{"key":"470_CR2","unstructured":"Federal Law No. 61-\u0424\u0417 \u201cOn the circulation of medicinal products\u201d http:\/\/www.consultant.ru\/document\/cons_doc_LAW_99350\/ Accessed 10 Jul 2018."},{"key":"470_CR3","unstructured":"Eurasian Economic Union \u201cGood pharmacovigilance practice\u201d guideline http:\/\/fptl.ru\/biblioteka\/eaeunion_lekarstva\/EAEU_farmakonadzor.pdf Accessed 10 Jul 2018."},{"key":"470_CR4","unstructured":"European Medicines Agency. Guideline on good pharmacovigilance practices (GVP) Module VI \u2013 Collection, management and submission of reports of suspected adverse reactions to medicinal products (Rev 2) (EMA\/873138\/2011 Rev 2). http:\/\/www.ema.europa.eu\/docs\/en_GB\/document_library\/Regulatory_and_procedural_guideline\/2017\/08\/WC500232767.pdf Accessed 10 Jul 2018."},{"key":"470_CR5","unstructured":"World Health Organization. Reporting and learning systems for medication errors: the role of pharmacovigilance centres. WHO Library Cataloguing-in-Publication Data; 2014."},{"key":"470_CR6","unstructured":"Pharmacovigilance Risk Assessment Committee. Good practice guide on recording, coding, reporting and assessment of medication errors (EMA\/762563\/2014). http:\/\/www.ema.europa.eu\/docs\/en_GB\/document_library\/Regulatory_and_procedural_guideline\/2015\/11\/WC500196979.pdf (2015). 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The authors have not received reimbursements, fees, funding, or salary from an organization that may in any way gain or lose financially from the publication of this manuscript, either now or in the future.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"5"}}