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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">farmaec</journal-id><journal-title-group><journal-title xml:lang="en">FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology</journal-title><trans-title-group xml:lang="ru"><trans-title>ФАРМАКОЭКОНОМИКА. Современная фармакоэкономика и фармакоэпидемиология</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2070-4909</issn><issn pub-type="epub">2070-4933</issn><publisher><publisher-name>IRBIS LLC</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">farmaec-88</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Economic Review</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Экономический обзор</subject></subj-group></article-categories><title-group><article-title>APPLICATION OF MULTIPLE-CRITERIA ANALYSIS FOR OPTIMIZATION OF FINANCING OF RARE DISEASES</article-title><trans-title-group xml:lang="ru"><trans-title>Возможности применения многокритериального анализа для оптимизации финансирования редких заболеваний</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Омельяновский</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Omelyanovskiy</surname><given-names>V. V.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Федяева</surname><given-names>В. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Fedyaeva</surname><given-names>V. K.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Реброва</surname><given-names>О. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Rebrova</surname><given-names>O. Yu.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Российская академия народного хозяйства и государственной службы при Президенте РФ&#13;
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Научно-исследовательский финансовый институт Министерства финансов РФ<country>Россия</country></aff><aff xml:lang="en">Russian Presidential Academy of National Economy and Public Administration, Federal State Educational Institution of Higher Professional Education, Moscow &#13;
&#13;
Research Financial Institution of the Ministry of Finance of the Russian Federation, Federal State Budget Institution, Moscow<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Российская академия народного хозяйства и государственной службы при Президенте РФ&#13;
&#13;
Научно-исследовательский финансовый институт Министерства финансов РФ&#13;
&#13;
Российский национальный исследовательский медицинский университет им. Н.И. Пирогова<country>Россия</country></aff><aff xml:lang="en">Russian Presidential Academy of National Economy and Public Administration, Federal State Educational Institution of Higher Professional Education, Moscow &#13;
&#13;
Research Financial Institution of the Ministry of Finance of the Russian Federation, Federal State Budget Institution, Moscow&#13;
&#13;
The Russian National Research Medical University named after N.I. Pirogov of the Ministry of Health of the Russian Federation, Moscow<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>20</day><month>05</month><year>2015</year></pub-date><volume>7</volume><issue>4</issue><fpage>29</fpage><lpage>35</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Omelyanovskiy V.V., Fedyaeva V.K., Rebrova O.Y., 2015</copyright-statement><copyright-year>2015</copyright-year><copyright-holder xml:lang="ru">Омельяновский В.В., Федяева В.К., Реброва О.Ю.</copyright-holder><copyright-holder xml:lang="en">Omelyanovskiy V.V., Fedyaeva V.K., Rebrova O.Y.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.pharmacoeconomics.ru/jour/article/view/88">https://www.pharmacoeconomics.ru/jour/article/view/88</self-uri><abstract><p>financing of rare disease drugs remains a serious problem for both foreign countries and our country. A limited budget for treatment of such patients determines significant difficulties for its distribution as part of drug supply to rare disease patients. The introduction of multiple-criteria analysis for identifying priority areas for financing diseases can be considered as one of the approaches to increase objectivity and transparency of decisions in the area of rare diseases. The main advantage of multiple-criteria analysis is the comprehensiveness of decisions: this type of analysis can provide consideration of disease severity and treatment efficacy. In 2014, a pilot study was conducted in the Russian Federation which involved 85 experts in various fields of medicine (clinical medicine, health financing, health management, scientific activity), which demonstrated that, from the point of view of experts, the characteristics of treatment are more important for identification of rare disease funding priority than the characteristics of the disease itself.</p></abstract><trans-abstract xml:lang="ru"><p>финансирование лекарственных препаратов для лечения больных с редкими заболеваниями остается серьезной проблемой как для зарубежных государств, так и для нашей страны. Ограниченный бюджет на лечение таких больных определяет существенные сложности для его распределения на лекарственное обеспечение пациентов с различными редкими заболеваниями. Одним из подходов повышения объективности и прозрачности принимаемых решений в области редких заболеваний можно рассматривать внедрение методики многокритериального анализа для выявления приоритетных для финансирования заболеваний. Основным преимуществом анализа на основе множества критериев является комплексность принимаемых решений: данный вид анализа может обеспечивать учет показателей тяжести заболевания и показателей эффективности самого лечения. В 2014 г. РФ было проведено пилотное исследование с участием 85 экспертов в различных областях медицины (клиническая медицина, финансирование здравоохранения, управление здравоохранением, научная деятельность), в результате которого было выявлено, что, с точки зрения экспертов, параметры характеристики лечения являются более важными для оценки приоритетности финансирования редких заболеваний, чем характеристика самого заболевания.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>редкие заболевания</kwd><kwd>многокритериальный анализ решений</kwd><kwd>орфанные препараты</kwd><kwd>принятие решений</kwd></kwd-group><kwd-group xml:lang="en"><kwd>rare diseases</kwd><kwd>multiple-criteria decision analysis</kwd><kwd>orphan drugs</kwd><kwd>making decisions</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Омельяновский В.В., Сура М.В., Герасимова К.В., Авксентьева М.В., Татаринов А.П. 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