A methodology for monitoring population health literacy in Europe – the HLS19 project

Abstract

Abstract Health literacy (HL) matters for health of people and for use and results of health care. Therefore knowledge on HL is relevant for evidence based health policy. But there is evidence on considerable variation of distributions and associations of HL between European countries. Furthermore HL is impacted by health promotion and health care policy interventions. Therefore it makes sense to monitor HL in each European country on a regular basis in a standardized form that allows for benchmarking between countries. A first European Health Literacy Survey (HLS-EU) in 2011 in eight member states supported by the European Commission introduced measurement of population HL in Europe. Based on the results of this survey WHO-Europés “The Solid Facts - Health Literacy” (2013) recommended institutionalized regular measurement and monitoring of HL. To implement this recommendation in 2017 the Action Network on Measuring Population and Organizational Health Literacy (M-POHL) was initiated under the umbrella of the European Health Information Initiative (EHII) by WHO-Europe, with already 25 countries participating. From its beginning M-POHL combined a policy with a research agenda and developed a documents on it vision and mission: The Vienna Statement on the measurement of population and organizational health literacy in Europe (2018). As a first project the European Health Literacy Survey 2019 (HLS19) has been planned and implemented. Based on the comprehensive concept and definition of population HL and the design and questionnaire of the HLS-EU study a common study design and a further developed instrument has been developed by representatives of 15 participating countries. Most import measurement of digital HL has been included into the HLS19 study and a new short form HLS-Q12 of the HLS-EU47 has been constructed. The presentation will give an overview on the research questions, the design and the instruments, the pretesting and the data collection of HLS19.