Background: For improving health literacy (HL) by national and international public health policy, measuring population HL by a comprehensive instrument is needed. A short instrument, the HLS₁₉-Q12 based on the HLS-EU-Q47, was developed, translated, applied, and validated in 17 countries in the WHO European Region. Methods: For factorial validity/dimensionality, Cronbach alphas, confirmatory factor analysis (CFA), Rasch model (RM), and Partial Credit Model (PCM) were used. For discriminant validity, correlation analysis, and for concurrent predictive validity, linear regression analysis were carried out. Results: The Cronbach alpha coefficients are above 0.7. The fit indices for the single-factor CFAs indicate a good model fit. Some items show differential item functioning in certain country data sets. The regression analyses demonstrate an association of the HLS₁₉-Q12 score with social determinants and selected consequences of HL. The HLS₁₉-Q12 score correlates sufficiently highly (r ≥ 0.897) with the equivalent score for the HLS₁₉-Q47 long form. Conclusions: The HLS₁₉-Q12, based on a comprehensive understanding of HL, shows acceptable psychometric and validity characteristics for different languages, country contexts, and methods of data collection, and is suitable for measuring HL in general, national, adult populations. There are also indications for further improvement of the instrument.

The entire world is faced with the COVID-19 pandemic, which is also accompanied by an infodemic. This refers to the rapid spread of (accurate and false) information, mainly through internet usage increasing. Digital health literacy (DHL) is therefore important for addressing challenges related to online health information and services, as well as for navigation through the complex information landscape with huge amounts of different (and conflicting) information about COVID-19. The aim of this study is to examine the level of DHL in relation to COVID-19 in Slovenian university students and to determine online information-seeking behaviour in order to plan and prepare effective communication interventions for this sub-population. A cross-sectional survey, administered by an online questionnaire, was conducted to collect data on DHL. A total of 3621 students participated, of whom 70% were female and the average age was 22.65 years (SD = 4.65). Bivariate analyses were performed to assess the association of key characteristics with DHL. Overall, the results show that the level of DHL among students is sufficient. Most difficulties were reported in assessing the reliability of information (n = 1484, 49.3%). Approximately one third of the students (n = 847, 27.9%) reported having problems in finding information of their interest, and somewhat more (n = 900, 29.6%) reported difficulties in making a selection among all the information found. Students with a sufficient level of DHL are more likely to seek information through search engines and websites of official institutions, while students with a limited level of DHL more frequently reported using social media for health information searches. It is necessary to establish interventions for a systematic lift of the DHL and health literacy (HL) of all population groups.

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 HLS₁₉-NAV measurement scale applied in the European Health Literacy Population Survey 2019–2021 (HLS₁₉). From December 2019 to January 2021, data on NAV-HL was collected in eight European countries. The HLS₁₉-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 HLS₁₉-NAV demonstrated high internal consistency. To ensure content validity, the HLS₁₉-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 HLS₁₉-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.

Background: Sufficient communicative health literacy (COM-HL) is important for patients actively participating in dialogue with physicians, expressing their needs and desires for treatment, and asking clarifying questions. There is a lack of instruments combining communication and HL proficiency. Hence, the aim was to establish an instrument with sufficient psychometric properties for measuring COM-HL. Methods: The HLS₁₉-COM-P instrument was developed based on a conceptual framework integrating HL with central communicative tasks. Data were collected using different data collection modes in nine countries from December 2019 to January 2021 (n = 18,674). Psychometric properties were assessed using Rasch analysis and confirmatory factor analysis. Cronbach’s alpha and Person separation index were considered for reliability. Results: The 11-item version (HLS₁₉-COM-P-Q11) and its short version of six items (HLS₁₉-COM-P-Q6) fit sufficiently the unidimensional partial credit Rasch model, obtained acceptable goodness-of-fit indices and high reliability. Two items tend to under-discriminate. Few items displayed differential item functioning (DIF) across person factors, and there was no consistent pattern in DIF across countries. All items had ordered response categories. Conclusions: The HLS₁₉-COM-P instrument was well accepted in nine countries, in different data collection modes, and could be used to measure COM-HL.

Vaccine hesitancy and its determinants have been previously widely researched. Vaccine hesitancy has been defined as a continuum of attitudes, ranging from accepting vaccines with doubts to rejecting them. The present study aims to explore the heterogeneity of a childhood-vaccine-hesitant group by using a person-oriented approach–latent profile analysis. A non-representative cross-sectional sample of vaccine-hesitant Slovenians (N = 421, M_age = 35.21, 82.9% women) was used to identify differences based on their reliance on personal research (“self” researching instead of relying on science), overconfidence in knowledge, endorsement of conspiracy theories, complementary and alternative medicine, and trust in the healthcare system. The analysis revealed three profiles of vaccine-hesitant individuals. The most hesitant profile—vaccine rejecting—expressed the greatest reliance on personal research, expressed the highest endorsement of conspiracy theories and complementary and alternative medicine, showed moderate overconfidence in their knowledge, and expressed the highest levels of distrust in the healthcare system. We further found differences in sociodemographic structure and that the identified profiles differed in their attitudes regarding MMR, HPV, and Seasonal Influenza vaccinations. The present study demonstrates the heterogeneity of the vaccine-hesitant community and offers insights into some of the traits, which are crucial for designing pro-vaccine campaigns.