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<article 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" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Bulletin of Semashko National Research Institute of Public Health</journal-id><journal-title-group><journal-title>Bulletin of Semashko National Research Institute of Public Health</journal-title></journal-title-group><issn publication-format="print">2415-8410</issn><issn publication-format="electronic">2415-8429</issn><publisher><publisher-name>FSSBI «N.A. Semashko National Research Institute of Public Health»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">2820</article-id><article-id pub-id-type="doi">10.69541/NRIPH.2024.04.024</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>Tools for assessing digital competencies in foreign healthcare systems: scoping review</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Starshinin</surname><given-names>Andrey V.</given-names></name><email>StarshininAV@mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0003-3565-2124</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Aksenova</surname><given-names>Elena I.</given-names></name><email>AksenovaEI2@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0003-1600-1641</uri><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Turzin</surname><given-names>Peter S.</given-names></name><email>b71112@yandex.ru</email><uri content-type="orcid">https://orcid.org/0000-0001-5231-8000</uri><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Grechushkina</surname><given-names>Natalia A.</given-names></name><email>grenat2014@gmail.com</email><uri content-type="orcid">https://orcid.org/0000-0003-2257-4470</uri><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Pokusaev</surname><given-names>Anton S.</given-names></name><email>PokusaevAS@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0001-6935-7807</uri><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff id="aff-1">Moscow City Health Department</aff><aff id="aff-2">State Budgetary Institution «Research Institute for Healthcare Organization and Medical management of Moscow Healthcare Department»</aff><pub-date date-type="epub" iso-8601-date="2024-11-27" publication-format="electronic"><day>27</day><month>11</month><year>2024</year></pub-date><issue>4</issue><fpage>153</fpage><lpage>161</lpage><history><pub-date date-type="received" iso-8601-date="2025-05-07"><day>07</day><month>05</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025,</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>&lt;p&gt;Digital health literacy among healthcare workers is rapidly developing due to the increasing integration of technologies into healthcare. However, it is still unclear what exactly digital literacy of healthcare workers should include and how it can be measured. The aim of the study is to expand the understanding of existing systems for assessing digital competencies of healthcare workers in global practice. Materials and methods. A scoping review was conducted based on the PRISMA checklist. Peer-reviewed scientific articles published in English over the past 10 years (20142024) on digital competence of healthcare workers were included. One of the selection criteria was maximum international coverage, so studies from not only leading countries in Europe and the world, but also most regional leaders, as well as developing countries, were considered. Based on the results obtained, a generalization was made of the most studied competencies of healthcare workers in the field of digital health to date, as well as the tools used to assess them. Conclusion. There is a wide variety of tools for assessing digital health literacy among healthcare workers, which depends both on the characteristics of national healthcare systems and on the capabilities and measurement criteria. While some general health literacy assessment tools could potentially be adapted for Russian users, the findings of this study indicate a lack of tools that are specifically designed to assess the multifaceted digital health literacy of healthcare professionals, taking into account the unique context, domains, complexity, and assessment methods required for this target group.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>digital competence</kwd><kwd>digital literacy</kwd><kwd>digital health</kwd><kwd>health worker</kwd><kwd>health professionals</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>цифровая компетентность</kwd><kwd>цифровая грамотность</kwd><kwd>цифровое здравоохранение</kwd><kwd>медицинский работник</kwd><kwd>специалисты здравоохранения</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Car J., Carlstedt-Duke J., Tudor Car L., et al. 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