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Measurement Properties of Instruments Assessing Digital Competence in Nursing: A Systematic Review

  • Fabio D'Agostino
  • , Ilaria Erba
  • , Elske Ammenwerth
  • , Vered Robinzon
  • , Gad Segal
  • , Nissim Harel
  • , Elisabetta Corvo
  • , Refael Barkan
  • , Hadas Lewy
  • , Noemi Giannetta
    • Saint Camillus International University of Health and Medical Sciences
    • Private University for Health Sciences, Medical Informatics and Technology
    • Sheba Medical Center at Tel Hashomer
    • Azrieli College of Engineering
    • CNAI - Consociazione Nazionale infermieri/e - Italian Nursing Association
    • Entrepreneurship and Internationalization HIT-Holon Institute of Technology
    • Holon Institute of Technology

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Background 

    The digital transformation of healthcare is reshaping care delivery among healthcare professionals, requiring nurses to develop digital competencies. These competencies are essential but often underdeveloped due to limited training and resources. Global initiatives emphasize integrating these competencies into nursing education, necessitating valid instruments to assess them. 

    Objective 

    This systematic review aims to identify instruments measuring digital competence in nursing and to assess their measurement properties.

     Methods 

    This review was registered in PROSPERO (identifier: CRD42024522349) and conducted according to PRISMA guidelines. A systematic search was performed in CINAHL, PubMed/MEDLINE, and Scopus on instruments assessing digital competencies in nursing and reporting measurement properties. Measurement properties and their methodological quality were assessed using the COSMIN criteria, and the overall quality of the evidence was graded using a modified GRADE approach. 

    Results 

    A total of 27 instruments were identified, relating to three interconnected constructs: nursing informatics, digital health, and information and communication technology. Based on their measurement properties, the instruments were categorized into three groups (A, B, C) following the COSMIN methodology to support recommendations for use. Six instruments were classified under category A (recommended for use): the DigiHealthCom and DigiComInf instruments, the Turkish version of TANIC, the short version of ITASH, the Digital Competence Questionnaire, and the 30-item Arabic version of SANICS. Twenty instruments were categorized under category B (potentially recommendable, but further validation is needed). One instrument was placed in category C (not recommended for use). 

    Conclusion 

    As digital competence becomes an increasing priority in education and public health, valid and reliable instruments are essential for assessing and monitoring these competencies. Such instruments support the identification of training needs, the evaluation of educational outcomes, and the integration of digital skills into nursing curricula and clinical practice, ultimately strengthening the digital readiness of the nursing workforce.

    Original languageEnglish
    Pages (from-to)1-18
    Number of pages18
    JournalApplied Clinical Informatics
    Volume17
    Issue number1
    DOIs
    Publication statusPublished - 6 Jan 2026

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Humans
    • Nursing
    • Clinical Competence
    • Surveys and questionnaires

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