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Coronavirus-Related Health Literacy: A Cross-Sectional Study in Adults During the COVID-19 Infodemic in Germany

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Publisher MDPI
Date 2020 Aug 6
PMID 32751484
Citations 157
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Abstract

There is an "infodemic" associated with the COVID-19 pandemic-an overabundance of valid and invalid information. Health literacy is the ability to access, understand, appraise, and apply health information, making it crucial for navigating coronavirus and COVID-19 information environments. A cross-sectional representative study of participants ≥ 16 years in Germany was conducted using an online survey. A coronavirus-related health literacy measure was developed (HLS-COVID-Q22). Internal consistency was very high (α = 0.940; ρ = 0.891) and construct validity suggests a sufficient model fit, making HLS-COVID-Q22 a feasible tool for assessing coronavirus-related health literacy in population surveys. While 49.9% of our sample had sufficient levels of coronavirus-related health literacy, 50.1% had "problematic" (15.2%) or "inadequate" (34.9%) levels. Although the overall level of health literacy is high, a vast number of participants report difficulties dealing with coronavirus and COVID-19 information. The participants felt well informed about coronavirus, but 47.8% reported having difficulties judging whether they could trust media information on COVID-19. Confusion about coronavirus information was significantly higher among those who had lower health literacy. This calls for targeted public information campaigns and promotion of population-based health literacy for better navigation of information environments during the infodemic, identification of disinformation, and decision-making based on reliable and trustworthy information.

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References
1.
Altmann D, Douek D, Boyton R . What policy makers need to know about COVID-19 protective immunity. Lancet. 2020; 395(10236):1527-1529. PMC: 7185915. DOI: 10.1016/S0140-6736(20)30985-5. View

2.
Duong T, Aringazina A, Baisunova G, Nurjanah , Pham T, Pham K . Measuring health literacy in Asia: Validation of the HLS-EU-Q47 survey tool in six Asian countries. J Epidemiol. 2017; 27(2):80-86. PMC: 5328731. DOI: 10.1016/j.je.2016.09.005. View

3.
Pelikan J, Ganahl K, Roethlin F . Health literacy as a determinant, mediator and/or moderator of health: empirical models using the European Health Literacy Survey dataset. Glob Health Promot. 2018; :1757975918788300. DOI: 10.1177/1757975918788300. View

4.
Abel T, McQueen D . Critical health literacy and the COVID-19 crisis. Health Promot Int. 2020; 35(6):1612-1613. PMC: 7184450. DOI: 10.1093/heapro/daaa040. View

5.
Soberg Finbraten H, Wilde-Larsson B, Nordstrom G, Pettersen K, Trollvik A, Guttersrud O . Establishing the HLS-Q12 short version of the European Health Literacy Survey Questionnaire: latent trait analyses applying Rasch modelling and confirmatory factor analysis. BMC Health Serv Res. 2018; 18(1):506. PMC: 6022487. DOI: 10.1186/s12913-018-3275-7. View