Evaluating the Psychometric Properties of the eHealth Literacy Scale (eHEALS) among Polish Social Media Users.

Social media have become mainstream online tools that allow individuals to connect and share information. Such platforms also influence people's health behavior in the way they communicate about personal health, treatment, or physicians. Individuals' ability to find and apply online health information on specific health problems can be measured using a valid and reliable instrument, the eHealth Literacy Scale (eHEALS). The objective of this study was to evaluate the psychometric aspects of the Polish version of this instrument (eHEALS-Pl) among social media users, which has not been explored so far. We examined the translated version of the eHEALS in a representative sample of Polish social media users (n = 1527). CAWI (computer-assisted web interviews) was a method to collect data. The reliability of the eHEALS-Pl was measured by calculating the Cronbach alpha coefficients and analyzing the principal components. Exploratory factor analysis and hypothesis testing was used to assess the construct validity of the instrument. The internal consistency of the eHEALS-Pl was sufficient: Cronbach alpha = 0.84. The item-to-total correlations ranged from r = 0.514 to 0.666. EFA revealed a single structure explaining 47.42% of the variance, with high factor loadings of the item ranging from 0.623 to 0.769. Hypothesis testing also supported the validity of eHEALS-Pl. The eHEALS-Pl evaluation supported by social media users reviled its equivalence to the original instrument developed by Norman and Skinner in 2006 and it can be used to measure e-health literacy. Since there is no prior validation of the eHEALS among social media users, these findings may indicate important directions in evaluating digital skills, especially in relation to the current challenges related to the COVID-19 pandemic.

The social life of COVID-19: Early insights from social media monitoring data collected in Poland.

Research has revealed that social media data may be promising in many health threats and help to understand how people respond to them. As the outbreak of a novel coronavirus disease (COVID-19) is a global pandemic, a real-time social media monitoring is needed to know the scale of this phenomenon. We have reported the frequency, reach and impact of online mentions about the COVID-19 illness taken from social media platforms: Facebook, Instagram, Twitter, blogs, forums, and news portals to highlight and better understand the scope of coronavirus discussion in Poland. We used SentiOne social listening tool to gather the data and perform the monitoring between 24 February 2020 to 25 March 2020. We found a total of 1,415,750 mentions related to COVID-19 which gives the average 47,192 mentions per day. 95.36% (1,350,059) of mentions were people's updates and expressions, 4.64% (65,691) mentions were articles from news portals and social media. Males have dominated the online conversation about COVID-19 (65.32% vs 34.68% females). At the same time, women were more likely to discuss the topic on social media platforms such as: Facebook, Twitter, and Instagram. We concluded with theoretical and practical implications.