Evidence map›Paper›PMID 33626015›Full record

ArticleJournal of medical Internet research2021

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

Lawrence An, Elizabeth Bacon, Sarah Hawley, Penny Yang, Daniel Russell, Scott Huffman, Ken Resnicow

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. Limited Awareness of Alcohol-Related Cancer Risk Factors among Spanish-Preferring Adults in a National US Survey.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lawrence AnCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9861-1800
Elizabeth BaconCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-9029-8004
Sarah HawleyCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-5756-645X
Penny YangCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-2330-2330
Daniel RussellGoogle, Mountain View, CA, United States.ORCID 0000-0002-7243-9317
Scott HuffmanGoogle, Mountain View, CA, United States.ORCID 0000-0002-4329-7049
Ken ResnicowCenter for Health Communications Research, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1416-9627

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

backgroundDuring 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.

objectiveThe 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).

methodsWe 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.

resultsThe 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).

conclusionsThis 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.

Indexed as

COVID-19Health Knowledge, Attitudes, PracticeHealth LiteracySARS-CoV-2TelemedicineAdolescentAdultAgedFemaleHumansInternetMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesUnited Statesattitudebehaviorconspiracy beliefscoronavirusCOVID-19digital healtheHealtheHealth literacyhealth communicationinternetknowledgeprotective behaviorssocial distancingsurvey

Identifiers

PMID33626015
PMCPMC8006897

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.