TY - JOUR
T1 - HLS19-DIGI - a new instrument for measuring digital health literacy
T2 - development, validation and associations with determinants and health outcomes in 13 countries
AU - the HLS19 Consortium of the WHO Action Network M-POHL
AU - Levin-Zamir, Diane
AU - Van den Broucke, Stephan
AU - Bíró, Éva
AU - Bøggild, Henrik
AU - Bruton, Lucy
AU - De Gani, Saskia Maria
AU - Søberg Finbråten, Hanne
AU - Gibney, Sarah
AU - Griebler, Robert
AU - Griese, Lennert
AU - Guttersrud, Øystein
AU - Klocháňová, Zuzana
AU - Kucera, Zdenek
AU - Le, Christopher
AU - Link, Thomas
AU - Mancini, Julien
AU - Miksova, Dominika
AU - Schaeffer, Doris
AU - Ribeiro da Silva, Carlota
AU - Sørensen, Kristine
AU - Straßmayr, Christa
AU - Telo de Arriaga, Miguel
AU - Vrdelja, Mitja
AU - Pelikan, Jürgen
N1 - Publisher Copyright:
Copyright © 2025 Levin-Zamir, Van den Broucke, Bíró, Bøggild, Bruton, De Gani, Søberg Finbråten, Gibney, Griebler, Griese, Guttersrud, Klocháňová, Kucera, Le, Link, Mancini, Miksova, Schaeffer, Ribeiro da Silva, Sørensen, Straßmayr, Telo de Arriaga, Vrdelja and Pelikan, on behalf of the HLS19 Consortium of the WHO Action Network M-POHL.
PY - 2025
Y1 - 2025
N2 - Introduction: Digital health information sources are playing an increasingly prominent role in health promotion, public health and in healthcare systems. Consequently, digital health literacy skills are likewise becoming increasingly important. Methods: Using a concept validation approach, the aim of the study was to validate a digital health literacy measure applied in the European Health Literacy Survey 2019–2021 (HLS19) of the WHO M-POHL Network, analyzing data from 28,057 respondents from 13 European countries. Results: The scale displayed high internal consistency. Confirmatory factor analysis (CFA) strengthened the hypothesized one-factor structure. In most countries, the data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). Pearson correlation with a measure of general health literacy showed sufficient discriminant validity, and a social gradient was found. Testing for predictive validity showed that the scale score predicts health-related outcomes. Discussion: The study shows that considerable proportions of the general adult populations across countries in Europe have limited DHL skills. The level of DHL has direct potential consequences for some forms of health service utilization, in some countries. Implications of the study include recommendations for improving digital health literacy, promoting organizational health literacy and quality assurance for digital health information and resources.
AB - Introduction: Digital health information sources are playing an increasingly prominent role in health promotion, public health and in healthcare systems. Consequently, digital health literacy skills are likewise becoming increasingly important. Methods: Using a concept validation approach, the aim of the study was to validate a digital health literacy measure applied in the European Health Literacy Survey 2019–2021 (HLS19) of the WHO M-POHL Network, analyzing data from 28,057 respondents from 13 European countries. Results: The scale displayed high internal consistency. Confirmatory factor analysis (CFA) strengthened the hypothesized one-factor structure. In most countries, the data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). Pearson correlation with a measure of general health literacy showed sufficient discriminant validity, and a social gradient was found. Testing for predictive validity showed that the scale score predicts health-related outcomes. Discussion: The study shows that considerable proportions of the general adult populations across countries in Europe have limited DHL skills. The level of DHL has direct potential consequences for some forms of health service utilization, in some countries. Implications of the study include recommendations for improving digital health literacy, promoting organizational health literacy and quality assurance for digital health information and resources.
KW - digital health literacy
KW - digital health literacy measurement
KW - eHealth literacy
KW - health information technology literacy
KW - HLS
KW - M-POHL
KW - measurement scale validation
UR - http://www.scopus.com/inward/record.url?scp=105002147301&partnerID=8YFLogxK
U2 - 10.3389/fpubh.2025.1472706
DO - 10.3389/fpubh.2025.1472706
M3 - Article
C2 - 40182520
AN - SCOPUS:105002147301
SN - 2296-2565
VL - 13
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1472706
ER -