Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/87110

TítuloDigital health literacy and web-based information-seeking behaviors of university students in Germany during the COVID-19 pandemic: cross-sectional survey study
Autor(es)Dadaczynski, Kevin
Okan, Orkan
Messer, Melanie
Leung, Angela Y. M.
Rosário, Rafaela
Darlington, Emily
Rathmann, Katharina
Palavras-chaveDigital health
Literacy
Infodemic
Health information
Behaviour
Coronavirus
COVID-19
University student
Student
Infodemiology
Data2021
EditoraJMIR Publications
RevistaJournal of Medical Internet Research
Resumo(s)Background: Digital communication technologies are playing an important role in the health communication strategies of governments and public health authorities during the COVID-19 pandemic. The internet and social media have become important sources of health-related information on COVID-19 and on protective behaviors. In addition, the COVID-19 infodemic is spreading faster than the coronavirus itself, which interferes with governmental health-related communication efforts. This jeopardizes national public health containment strategies. Therefore, digital health literacy is a key competence to navigate web-based COVID-19-related information and service environments.Objective: This study aimed to investigate university students' digital health literacy and web-based information-seeking behaviors during the early stages of the COVID-19 pandemic in Germany.Methods: A cross-sectional study among 14,916 university students aged >= 18 years from 130 universities across all 16 federal states of Germany was conducted using a web-based survey. Along with sociodemographic characteristics (sex, age, subjective social status), the measures included five subscales from the Digital Health Literacy Instrument (DHLI), which was adapted to the specific context of the COVID-19 pandemic. Web-based information-seeking behavior was investigated by examining the web-based sources used by university students and the topics that the students searched for in connection with COVID-19. Data were analyzed using univariate and bivariate analyses.Results: Across digital health literacy dimensions, the greatest difficulties could be found for assessing the reliability of health-related information (5964/14,103, 42.3%) and the ability to determine whether the information was written with a commercial interest (5489/14,097, 38.9%). Moreover, the respondents indicated that they most frequently have problems finding the information they are looking for (4282/14,098, 30.4%). When stratified according to sociodemographic characteristics, significan
TipoArtigo
URIhttps://hdl.handle.net/1822/87110
DOI10.2196/24097
ISSN1438-8871
Versão da editorahttps://www.jmir.org/2021/1/e24097/
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:ESE-CIE - Artigos em Revistas Internacionais / Papers in International Journals

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