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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">myrwd</journal-id><journal-title-group><journal-title xml:lang="ru">Реальная клиническая практика: данные и доказательства</journal-title><trans-title-group xml:lang="en"><trans-title>Real-World Data &amp; Evidence</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2782-3784</issn><publisher><publisher-name>Publishing House OKI</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37489/2782-3784-myrwd-090</article-id><article-id custom-type="edn" pub-id-type="custom">VIMRPC</article-id><article-id custom-type="elpub" pub-id-type="custom">myrwd-122</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="ru"><subject>МНЕНИЯ ЭКСПЕРТОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>EXPERT OPINIONS</subject></subj-group></article-categories><title-group><article-title>Концепция идеальной модели исследований реальной клинической практики: мнение индустрии</article-title><trans-title-group xml:lang="en"><trans-title>The concept of an ideal real-world evidence study: industry opinion</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2680-7035</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гольдина</surname><given-names>Т. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Goldina</surname><given-names>T. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гольдина Татьяна Александровна — к. б. н., независимый исследователь</p><p>Москва</p></bio><bio xml:lang="en"><p>Tatiana A. Goldina — Cand. Sci. (Biol.), independent researcher</p><p>Moscow</p></bio><email xlink:type="simple">tagold@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3228-2714</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хомицкая</surname><given-names>Ю. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Khomitskaya</surname><given-names>Yu. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Хомицкая Юнона Владиславовна — к. м. н., медицинский отдел</p><p>Москва</p></bio><bio xml:lang="en"><p>Yunona V. Khomitskaya — Cand. Sci. (Med.), medical department</p><p>Moscow</p></bio><email xlink:type="simple">Yunona.Khomitskaya@servier.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГАОУ ВО «Российский государственный гуманитарный университет»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian State University for the Humanities</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>АО «Сервье»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Servier JSC</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>25</day><month>12</month><year>2025</year></pub-date><volume>5</volume><issue>4</issue><fpage>70</fpage><lpage>80</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Гольдина Т.А., Хомицкая Ю.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Гольдина Т.А., Хомицкая Ю.В.</copyright-holder><copyright-holder xml:lang="en">Goldina T.A., Khomitskaya Y.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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.myrwd.ru/jour/article/view/122">https://www.myrwd.ru/jour/article/view/122</self-uri><abstract><sec><title>Актуальность</title><p>Актуальность. Для фармацевтических компаний направление Real-World Evidence (RWE, доказательства, полученные на основании данных реальной клинической практики; ДДРКП) играет критически значимую роль на всех этапах жизненного цикла лекарственного препарата. Контрактно-исследовательские организации (КИО) и поставщики инфраструктуры исследований обеспечивают реализацию исследований реальной клинической практики (Real-World Evidence Study, RWE study; ИРКП). В связи с этим важно понимать, что думает индустрия о том, как должна выглядеть идеальная экосистема для проведения качественных ИРКП.</p></sec><sec><title>Цель</title><p>Цель. Выявить сильные и слабые стороны существующих процессов ИРКП в России, потребности и предложения в этой области, что в последующем может быть использовано ключевыми сторонами RWE-экосистемы в коммуникации с регулятором для создания нормативной базы, обеспечения методологи и качества ИРКП. Одной из задач было разработка концепции идеальной модели RWE-экосистемы.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В исследовании был использован метод полуструктурированных глубинных интервью экспертов в области RWE: приняло участие 10 фармацевтических компаний, 6 КИО и 3 поставщика инфраструктуры исследований. В период с 23 сентября по 14 ноября 2025 г. было проведено 19 экспертных интервью, каждое из которых включало 23 вопроса, объединённые в 4 блока: 1) описание респондентов, 2) проблемы при проведении RWE-исследований, 3) обеспечение качества RWE-исследования, 4) потребности в регуляциях.</p></sec><sec><title>Результаты</title><p>Результаты. Анализ ответов респондентов позволил идентифицировать восемь взаимосвязанных компонентов, формирующих концепцию идеальной модели RWE-экосистемы: регуляторная определённость и нормативная база, качество исходных данных, инфраструктура данных, компетенции сторон исследования, система менеджмента качества, планирование исследования, прозрачность и прослеживаемость, финансирование и ресурсное обеспечение.</p></sec><sec><title>Выводы</title><p>Выводы. Идеальная модель ИРКП представляет собой комплексную экосистему, требующую координированного развития регуляторных, организационных, технологических и образовательных компонентов.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Real-world evidence (RWE) plays a critical role in pharmaceutical companies at all stages of a medical product’s life cycle. Contract research organizations and research infrastructure suppliers ensure that RWE studies. Understanding what the industry thinks about an ideal ecosystem is important for conducting high-quality RWE studies.</p></sec><sec><title>Objective</title><p>Objective. To identify the strengths and weaknesses of existing RWE study processes in Russia, needs, and proposals in this area, which can later be used by key parties of the RWE ecosystem to create a regulatory framework and ensure the methodology and quality of RWE studies. The objective was to develop an ideal RWE ecosystem model.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. The study used semi-structured in-depth interviews with experts in the RWE field: 10 pharmaceutical companies, 6 CROs, and 3 providers of study infrastructure. From September 23 to November 14, 2025, 19 expert interviews were conducted, each of which included 23 questions combined into 4 blocks: 1) a description of the respondents, 2) problems in conducting RWE studies, 3) ensuring RWE study quality, and 4) regulatory needs.</p></sec><sec><title>Results</title><p>Results. The analysis of the respondents’ answers enabled the identification of eight interrelated components that form the ideal RWE ecosystem model: regulatory certainty and regulatory framework, quality of source data, data infrastructure, study parties’ competencies, quality management systems, study planning, transparency and traceability, financing, and resource ensuring.</p></sec><sec><title>Conclusion</title><p>Conclusion. The ideal RWE model is a complex ecosystem that requires the coordinated development of regulatory, organizational, technological, and educational components.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>идеальная модель RWE-экосистемы</kwd><kwd>данные реальной клинической практики</kwd><kwd>исследования реальной клинической практики</kwd></kwd-group><kwd-group xml:lang="en"><kwd>real-world data</kwd><kwd>RWD</kwd><kwd>real-world evidence study</kwd><kwd>RWE study</kwd><kwd>real-world evidence</kwd><kwd>RWE</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">The 21st Century Cures Act (Cures Act). 2016. https://www.fda.gov/regulatory-information/selected-amendments-fdc-act/21st-century-cures-act</mixed-citation><mixed-citation xml:lang="en">The 21st Century Cures Act (Cures Act). 2016. https://www.fda.gov/regulatory-information/selected-amendments-fdc-act/21st-century-cures-act</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Framework for FDA’s Real-World Evidence Program December 2018 https://www.fda.gov/media/120060/download</mixed-citation><mixed-citation xml:lang="en">Framework for FDA’s Real-World Evidence Program December 2018 https://www.fda.gov/media/120060/download</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Data Analysis and Real-World Interrogation Network (DARWIN EU). https://www.ema.europa.eu/en/about-us/how-we-work/data-regulation-big-data-other-sources/real-world-evidence/data-analysis-real-world-interrogation-network-darwin-eu</mixed-citation><mixed-citation xml:lang="en">Data Analysis and Real-World Interrogation Network (DARWIN EU). https://www.ema.europa.eu/en/about-us/how-we-work/data-regulation-big-data-other-sources/real-world-evidence/data-analysis-real-world-interrogation-network-darwin-eu</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">ICH reflection paper on pursuing opportunities for harmonisation in using real-world data to generate real-world evidence, with a focus on effectiveness of medicines. 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