Jürgen Pelikan

Prof. Dr. Jürgen Pelikan

Gesundheit Österreich GmbH (GÖG), 1010 Wien, Austria

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 April 2020 in BMC Public Health
Verified
Journal Article
Open access
PDF file
MSMajbritt Tang Svendsen
Majbritt Tang Svendsen
CBCarsten Kronborg Bak
Carsten Kronborg Bak
KSKristine Sørensen
Kristine Sørensen
JPJürgen Pelikan
Jürgen Pelikan
SRSigne Juul Riddersholm
Signe Juul Riddersholm
CTChristian Torp-Pedersen
Christian Torp-Pedersen
Background: Health literacy concerns the ability of citizens to meet the complex demands of health in modern society. Data on the distribution of health literacy in general populations and how health literacy impacts health behavior and general health remains scarce. The present study aims to investigate the prevalence of health literacy levels and associations of health literacy with socioeconomic position, health risk behavior, and health status at a population level. Methods: A nationwide cross-sectional survey linked to administrative registry data was applied to a randomly selected sample of 15,728 Danish individuals aged ≥25 years. By the short form HLS-EU-Q16 health literacy was measured for the domains of healthcare, disease prevention, and health promotion. Adjusted multinomial logistic regression analyses were used to estimate associations of health literacy with demographic and socioeconomic characteristics, health risk behavior (physical activity, smoking, alcohol consumption, body weight), and health status (sickness benefits, self-assessed health). Results: Overall, 9007 (57.3%) individuals responded to the survey. Nearly 4 in 10 respondents faced difficulties in accessing, understanding, appraising, and applying health information. Notably, 8.18% presented with inadequate health literacy and 30.94% with problematic health literacy. Adjusted for potential confounders, regression analyses showed that males, younger individuals, immigrants, individuals with basic education or income below the national average, and individuals receiving social benefits had substantially higher odds of inadequate health literacy. Among health behavior factors (smoking, high alcohol consumption, and inactivity), only physical behavior [sedentary: OR: 2.31 (95% CI: 1.81; 2.95)] was associated with inadequate health literacy in the adjusted models. The long-term health risk indicator body-weight showed that individuals with obesity [OR: 1.78 (95% CI: 1.39; 2.28)] had significantly higher odds of lower health literacy scores. Poor self-assessed health [OR: 4.03 (95% CI: 3.26; 5.00)] and payments of sickness absence compensation benefits [OR: 1.74 (95% CI: 1.35; 2.23)] were associated with lower health literacy scores. Conclusions: Despite a relatively highly educated population, the prevalence of inadequate health literacy is high. Inadequate health literacy is strongly associated with a low socioeconomic position, poor health status, inactivity, and overweight, but to a lesser extent with health behavior factors such as smoking and high alcohol consumption.

26 April 2017 in BMC Public Health
Verified
Journal Article
Open access
PDF file
JBJanine Bröder
Janine Bröder
Orkan OkanOrkan Okan
Orkan Okan
UBUllrich Bauer
Ullrich Bauer
DBDirk Bruland
Dirk Bruland
SSSandra Schlupp
Sandra Schlupp
PPPaulo Pinheiro
Paulo Pinheiro
Children and young people constitute a core target group for health literacy research and practice: during childhood and youth, fundamental cognitive, physical and emotional development processes take place and health-related behaviours and skills develop. However, there is limited knowledge and academic consensus regarding the abilities and knowledge a child or young person should possess for making sound health decisions. The research presented in this review addresses this gap by providing an overview and synthesis of current understandings of health literacy in childhood and youth. Furthermore, the authors aim to understand to what extent available models capture the unique needs and characteristics of children and young people. Six databases were systematically searched with relevant search terms in English and German. Of the n = 1492 publications identified, N = 1021 entered the abstract screening and N = 340 full-texts were screened for eligibility. A total of 30 articles, which defined or conceptualized generic health literacy for a target population of 18 years or younger, were selected for a four-step inductive content analysis. The systematic review of the literature identified 12 definitions and 21 models that have been specifically developed for children and young people. In the literature, health literacy in children and young people is described as comprising variable sets of key dimensions, each appearing as a cluster of related abilities, skills, commitments, and knowledge that enable a person to approach health information competently and effectively and to derive at health-promoting decisions and actions. Identified definitions and models are very heterogeneous, depicting health literacy as multidimensional, complex construct. Moreover, health literacy is conceptualized as an action competence, with a strong focus on personal attributes, while also recognising its interrelatedness with social and contextual determinants. Life phase specificities are mainly considered from a cognitive and developmental perspective, leaving children’s and young people’s specific needs, vulnerabilities, and social structures poorly incorporated within most models. While a critical number of definitions and models were identified for youth or secondary school students, similar findings are lacking for children under the age of ten or within a primary school context.

JPJürgen Pelikan
Jürgen Pelikan
TLThomas Link
Thomas Link
CSChrista Straßmayr
Christa Straßmayr
Karin WaldherrKarin Waldherr
Karin Waldherr
TATobias Alfers
Tobias Alfers
MVMitja Vrdelja
Mitja Vrdelja
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.

LGLennert Griese
Lennert Griese
EBEva-Maria Berens
Eva-Maria Berens
peternowak Nowakpeternowak Nowak
peternowak Nowak
JPJürgen Pelikan
Jürgen Pelikan
DSDoris Schaeffer
Doris Schaeffer
Due to their rapid expansion and complexity, it is increasingly difficult for patients to orient themselves in health care systems. Therefore, patients require a high degree of health literacy, or more precisely, navigation health literacy (HL-NAV). The actual extent of HL-NAV of patients and citizens is still largely unknown due to the lack of adequate measurement instruments. Thus, within the new international Health Literacy Population Survey 2019 (HLS19), one aim was to develop a suitable instrument for measuring HL-NAV in the HLS19 the HL-NAV-HLS19. The item development was conducted by an international working group within the HLS19 Consortium led by the first and last authors. Methodologically, it is based on a scoping literature review, development of a conceptual framework for HL-NAV, and first item formation, as well as an evaluation by experts, stakeholders, focus groups, pre-test interviews, and continuously feedback from the HLS19 Consortium. HL-NAV was defined as the ability to access, understand, appraise, and apply information on navigational issues, drawing on ten selected publications and the health literacy definition of the HLS-EU Consortium. Main tasks of HL-NAV at the system, organization, and interaction level were identified, to which first related items were assigned. Based on the feedback from experts, the focus group discussions, and the HLS19 Consortium, the instrument was slightly revised. Finally, twelve items proved to be feasible in the pre-test. The instrument will be used for the first time in the HLS19 survey and will provide first data on HL-NAV in general populations for the countries participating in HLS19. It is suited for cross-country comparisons and monitoring, as well as for intervention development. However, the instrument should be translated into and validated in further languages and countries for population samples.

14 November 2018 in Global Health Promotion
Verified
Journal Article
Closed access
JPJürgen Pelikan
Jürgen Pelikan
KGKristin Ganahl
Kristin Ganahl
FRFlorian Roethlin
Florian Roethlin
Background/Research Question: In the health literacy (HL) discourse there is debate about the ways by which HL is impacting health. Three different, logically non-exclusive hypotheses are proposed: (a) HL as a specific, direct, social determinant of health; (b) HL as a mediator between other determinants and health; and (c) HL as a moderator of the effect of other determinants on health. Only few examples of empirically testing the mediator or moderator hypothesis exist. The data of the European Health Literacy Survey allow testing of the three hypotheses comparatively in parallel for functional and comprehensive HL. Methods: Data collection was based on multistage random samples of about 1000 European Union citizens aged 15 or older with Computer Assisted Personal Interviewing or Paper Assisted Personal Interviewing methodology in 2011 in eight Member States of the EU. Demographic and socio-economic indicators, a comprehensive (European Health Literacy Survey Q47) and a functional (Newest Vital Sign Test) health literacy measure and one self-assessed health variable were surveyed. Correlation analysis, multiple regression analysis and path analysis were performed. Results: Comprehensive HL (and to a much lesser degree functional HL) is a relevant predictor for self-assessed health. Also, comprehensive HL is only to a limited degree mediating the effects of other determinants on self-assessed health and only for age does HL partly moderate the effect on health. Explained variance and strength of effects vary considerably by national context. Conclusions/Implications: Comprehensive HL is a critical, direct determinant of health. Therefore comprehensive HL has a considerable potential for health promotion to improve population health and tackle the health gap. But comprehensive HL measurement should be standardised in every country to allow for designing adequate measures for the specific situation of the country and also for benchmarking. For better understanding of the causal structure of the impact of HL on health, longitudinal studies will be needed.

LGLennert Griese
Lennert Griese
HFHanne Søberg Finbråten
Hanne Søberg Finbråten
Rita FranciscoRita Francisco
Rita Francisco
SGSaskia Maria De Gani
Saskia Maria De Gani
RGRobert Griebler
Robert Griebler
DSDoris Schaeffer
Doris Schaeffer
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.