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Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students

  • Chiara Lorini
  • , Veronica Velasco
  • , Guglielmo Bonaccorsi
  • , Kevin Dadaczynski
  • , Orkan Okan
  • , Patrizio Zanobini
  • , Luca P. Vecchio

    Research output: Journal contributions › Journal articles › Research › peer-review

    20 Citations (Scopus)

    Abstract

    The Coronavirus Disease 19 (COVID-19) pandemic and the associated “infodemic” have shown the importance of surveillance and promotion of health literacy, especially for young adults such as university students who use digital media to a very high degree. This study aimed to assess the validity and reliability of the Italian version of the COVID-19 adapted version of the Digital Health Literacy Instrument (DHLI). This cross-sectional study is part of the COVID-19 University Students Survey involving 3985 students from two Italian universities. First, item analysis and internal consistency were assessed. Then, Principal Component Analysis (PCA) and Confirmatory Factor Analyses (CFA) were performed comparing different models. The Italian DHLI showed good psychometric characteristics. The protecting privacy subscale was excluded, given the criticalities presented in the validation process. CFA confirmed the four-factor structure, also including a high-order factor. This result allows using the scale to measure a global level of digital health literacy and consider its levels separately for each construct component: searching the web for information, evaluating reliability, determining personal relevance, and adding self-generated content.
    Original languageEnglish
    Article number6247
    JournalInternational Journal of Environmental Research and Public Health
    Volume19
    Issue number10
    Number of pages17
    ISSN1661-7827
    DOIs
    Publication statusPublished - 20.05.2022

    Bibliographical note

    Publisher Copyright:
    © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

    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

    Research areas and keywords

    • digital health literacy
    • COVID-19
    • university students
    • infodemic
    • measurement
    • scale validation
    • Health sciences

    ASJC Scopus Subject Areas

    • Health, Toxicology and Mutagenesis
    • Public Health, Environmental and Occupational Health
    • Pollution

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