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. 2021 Mar 29;23(3):e25042.
doi: 10.2196/25042.

Relationship Between Coronavirus-Related eHealth Literacy and COVID-19 Knowledge, Attitudes, and Practices among US Adults: Web-Based Survey Study

Affiliations

Relationship Between Coronavirus-Related eHealth Literacy and COVID-19 Knowledge, Attitudes, and Practices among US Adults: Web-Based Survey Study

Lawrence An et al. J Med Internet Res. .

Abstract

Background: During a global pandemic, it is critical that the public is able to rapidly acquire new and accurate health information. The internet is a major source of health information. eHealth literacy is the ability of individuals to find, assess, and use health information available on the internet.

Objective: The goals of this study were to assess coronavirus-related eHealth literacy and examine the relationship between eHealth literacy and COVID-19-related knowledge, attitudes, and practices (KAPs).

Methods: We conducted a web-based survey of a representative sample of 1074 US adults. We adapted the 8-item eHealth Literacy Scale to develop the Coronavirus-Related eHealth Literacy Scale (CoV-eHEALS) to measure COVID-19-related knowledge, conspiracy beliefs, and adherence to protective behaviors (eg, wearing facial masks and social distancing). Our analyses identified sociodemographic associations with the participants' CoV-eHEALS scores and an association between the CoV-eHEALS measure and COVID-19 KAPs.

Results: The internal consistency of the adapted CoV-eHEALS measure was high (Cronbach α=.92). The mean score for the CoV-eHEALS was 29.0 (SD 6.1). A total of 29% (306/1074) of the survey participants were classified as having low coronavirus-related eHealth literacy (CoV-eHEALS score <26). Independent associations were found between CoV-eHEALS scores and ethnicity (standardized β=-.083, P=.016 for Black participants) and education level (standardized β=-.151, P=.001 for participants with high-school education or lower). Controlling for demographic characteristics, CoV-eHEALS scores demonstrated positive independent associations with knowledge (standardized β=.168, P<.001) and adherence to protective behaviors (standardized β=.241, P<.001) and a negative association with conspiracy beliefs (standardized β=-.082, P=.009).

Conclusions: This study provides an estimate of coronavirus-related eHealth literacy among US adults. Our findings suggest that a substantial proportion of US adults have low coronavirus-related eHealth literacy and are thus at a greater risk of lower and less-protective COVID-19 KAPs. These findings highlight the need to assess and address eHealth literacy as part of COVID-19 control efforts. Potential strategies include improving the quality of health information about COVID-19 available on the internet, assisting or simplifying web-based search for information about COVID-19, and training to improve general or coronavirus-specific search skills.

Keywords: COVID-19; attitude; behavior; conspiracy beliefs; coronavirus; digital health; eHealth; eHealth literacy; health communication; internet; knowledge; protective behaviors; social distancing; survey.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Number of correct knowledge items by coronavirus-related eHealth literacy.
Figure 2
Figure 2
Number of rejected conspiracy items by coronavirus-related eHealth literacy.
Figure 3
Figure 3
Number of routine protective behaviors by coronavirus-related eHealth literacy.

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