Retrospective analysis of quality of pharmacotherapy for children with acute respiratory infections on background of ABC /Ven/ frequency analysis based on data of patients medical histories

dc.contributor.authorTkachova, Oksana
dc.contributor.authorSilaev, Artem
dc.contributor.authorUlanova, Vera
dc.contributor.authorButko, Yaroslava
dc.date.accessioned2018-12-06T07:57:17Z
dc.date.available2018-12-06T07:57:17Z
dc.date.issued2018-07
dc.description.abstractIncrease in frequency of acute respiratory viral infection (ARVI) and difficult economic situation in Ukraine require rational use of financial resources to treat this disease in children. Comprehensive analysis on background of additional pharmacoeconomic methods: ABC-, VEN- and frequency analysis based on study of results of 180 children with ARVI - allows to estimate cost of drugs in hospital of Burin town, Sumy region, Ukraine. It has been found out that part of money turned out to have been used inefficiently for treatment of children with ARVI and pharmacotherapy not always to be in line with government regulations because 16.15 % - 38.69 % of all funds were spent on drugs not included in Clinical Protocols for ARVI and related diseases. That is why there is an opportunity to cut down expenditures spent on unnecessary drugs during treatment period.ru_RU
dc.identifier.citationRetrospective analysis of quality of pharmacotherapy for children with acute respiratory infections on background of ABC /Ven/ frequency analysis based on data of patients medical histories / O. Tkachova, A. Silaev, V. Ulanova, Y. Butko // Journal of Global Pharma Technologyal. – 2018. – № 10 (07). – Р. 374ꟷ381.ru_RU
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/21541
dc.language.isoenru_RU
dc.subjectdrugs for treatmentru_RU
dc.subjectchildren with acute respiratory viral infectionsru_RU
dc.subjecteconomic analysisru_RU
dc.titleRetrospective analysis of quality of pharmacotherapy for children with acute respiratory infections on background of ABC /Ven/ frequency analysis based on data of patients medical historiesru_RU
dc.typeArticleru_RU

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