HLS 19 -NAV—Validation of a New Instrument Measuring Navigational Health Literacy in Eight European Countries

Lennert Griese (), Hanne S. Finbråten, Rita Francisco, Saskia M. De Gani, Robert Griebler, Øystein Guttersrud, Rebecca Jaks, Christopher Le, Thomas Link, Andreia Silva da Costa, Miguel Telo de Arriaga, Rajae Touzani, Mitja Vrdelja, Jürgen M. Pelikan and Doris Schaeffer
Additional contact information
Lennert Griese: School of Public Health, Bielefeld University, 33615 Bielefeld, Germany
Hanne S. Finbråten: Department of Health and Nursing Sciences, Faculty of Social and Health Sciences, Inland Norway University of Applied Sciences, 2418 Elverum, Norway
Rita Francisco: Católica Research Centre for Psychological, Family and Social Well-Being, Universidade Católica Portuguesa, 1649-023 Lisboa, Portugal
Saskia M. De Gani: Careum Foundation, Careum Center for Health Literacy, 8032 Zurich, Switzerland
Robert Griebler: Competence Centre for Health Promotion and Health System, Austrian National Public Health Institute, A-1010 Vienna, Austria
Øystein Guttersrud: Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway
Rebecca Jaks: Careum Foundation, Careum Center for Health Literacy, 8032 Zurich, Switzerland
Christopher Le: Department of Health and Nursing Sciences, Faculty of Social and Health Sciences, Inland Norway University of Applied Sciences, 2418 Elverum, Norway
Thomas Link: Department of Quality Measurement and Patient Survey, Austrian National Public Health Institute, A-1010 Vienna, Austria
Andreia Silva da Costa: Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Nursing School of Lisbon (ESEL), 1049-005 Lisboa, Portugal
Miguel Telo de Arriaga: Católica Research Centre for Psychological, Family and Social Well-Being, Universidade Católica Portuguesa, 1649-023 Lisboa, Portugal
Rajae Touzani: Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l’Information Médicale, Equipe CANBIOS Labellisée Ligue 2019, 13009 Marseille, France
Mitja Vrdelja: Communication Unit, National Institute of Public Health, 1000 Ljubljana, Slovenia
Jürgen M. Pelikan: WHO-CC Health Promotion in Hospitals and Health Care, Austrian National Public Health Institute, A-1010 Vienna, Austria
Doris Schaeffer: School of Public Health, Bielefeld University, 33615 Bielefeld, Germany

IJERPH, 2022, vol. 19, issue 21, 1-20

Abstract: To manoeuvre a complex and fragmented health care system, people need sufficient navigational health literacy (NAV-HL). The objective of this study was to validate the HLS 19 -NAV measurement scale applied in the European Health Literacy Population Survey 2019–2021 (HLS 19 ). From December 2019 to January 2021, data on NAV-HL was collected in eight European countries. The HLS 19 -NAV was translated into seven languages and successfully applied in and validated for eight countries, where language and survey method differed. The psychometric properties of the scale were assessed using confirmatory factor analysis (CFA) and Rasch modelling. The tested CFA models sufficiently well described the observed correlation structures. In most countries, the NAV-HL data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). For some countries, some items showed poor data–model fit when tested against the PCM, and some items displayed differential item functioning for selected person factors. The HLS 19 -NAV demonstrated high internal consistency. To ensure content validity, the HLS 19 -NAV was developed based on a conceptual framework. As an estimate of discriminant validity, the Pearson correlations between the NAV-HL and general health literacy (GEN-HL) scales were computed. Concurrent predictive validity was estimated by testing whether the HLS 19 -NAV, like general HL measures, follows a social gradient and whether it forms a predictor of general health status as a health-related outcome of general HL. In some countries, adjustments at the item level may be beneficial.

Keywords: health literacy; health information; navigation; health care system; confirmatory factor analysis; instrument; questionnaire; HLS 19 survey; Rasch modelling; validation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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