ArticleJournal of medical Internet research2020
Health Literacy, eHealth Literacy, Adherence to Infection Prevention and Control Procedures, Lifestyle Changes, and Suspected COVID-19 Symptoms Among Health Care Workers During Lockdown: Online Survey.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 6 of them syntheses that pooled it.
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Who cites it
67 citing papers in PubMed, 6 syntheses or guidelines pooled it, 124 citations in OpenAlex.
- The Association Between eHealth Literacy and Health Behaviors During and Since the COVID-19 Pandemic: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Examining the relationship between health literacy and eHealth literacy in adult populations: a systematic review and meta-analysis.Health promotion international · 2025Pooled it
- The Role of Health Literacy in Skin Cancer Preventative Behavior and Implications for Intervention: A Systematic Review.Journal of prevention (2022) · 2024Pooled it
- Asian American Vaccination, Testing, and Other Healthcare Knowledge & Behaviors during COVID-19, A Systematic Review.Pathogens and global health · 2023Pooled it
- Determinants and outcomes of eHealth literacy in healthy adults: A systematic review.PloS one · 2023Pooled it
- Digital Health Competencies Among Health Care Professionals: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Impact of a Serious Game (Escape COVID-19) on the Intention to Change COVID-19 Control Practices Among Employees of Long-term Care Facilities: Web-Based Randomized Controlled Trial.Journal of medical Internet research · 2021Trial
- Exploring the status and influencing factors of nurses' digital health literacy: a scoping review.BMC nursing · 2026Article
- Determinants of digital health literacy among health professionals: Evidence from public and private hospitals in Eastern Ethiopia.PloS one · 2026Article
- Pilot study of an app-supported psychosocial prevention intervention: a mixed-methods approach.Pilot and feasibility studies · 2025Article
- eHealth literacy in the general population: a cross-sectional study in China.BMC public health · 2025Article
- Testing the mediating effect of risk perception on the relationship between e-health literacy and infectious disease prevention behaviors among young adults based on the IMB model.Frontiers in public health · 2025Article
- Association between e-health literacy and perceived importance of future pandemic preparedness in sub-saharan Africa.Scientific reports · 2024Article
- Factors Associated With Digital Capacity for Health Promotion Among Primary Care Workers: Cross-Sectional Survey Study.Journal of medical Internet research · 2024Article
- Electronic health literacy and its associated factors among university students using social network sites (SNSs) in a resource-limited setting, 2022: cross-sectional study.BMC public health · 2024Article
- From Validation to Assessment of e-Health Literacy: A Study among Higher Education Students in Portugal.Healthcare (Basel, Switzerland) · 2024Article
- Validation of the extended e-health literacy scale: structural validity, construct validity and measurement invariance.BMC public health · 2024Article
- Digital health literacy and associated factors among internet users from China: a cross-sectional study.BMC public health · 2024Article
- Digital health competencies and affecting factors among healthcare professionals: additional findings from a systematic review.Journal of research in nursing : JRN · 2024Article
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7 more citing papers are in PubMed but not listed here.
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Authors and funding
21 authors at 13 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic has imposed a heavy burden on health care systems and governments. Health literacy (HL) and eHealth literacy (as measured by the eHealth Literacy Scale [eHEALS]) are recognized as strategic public health elements but they have been underestimated during the pandemic. HL, eHEALS score, practices, lifestyles, and the health status of health care workers (HCWs) play crucial roles in containing the COVID-19 pandemic.
objectiveThe aim of this study is to evaluate the psychometric properties of the eHEALS and examine associations of HL and eHEALS scores with adherence to infection prevention and control (IPC) procedures, lifestyle changes, and suspected COVID-19 symptoms among HCWs during lockdown.
methodsWe conducted an online survey of 5209 HCWs from 15 hospitals and health centers across Vietnam from April 6 to April 19, 2020. Participants answered questions related to sociodemographics, HL, eHEALS, adherence to IPC procedures, behavior changes in eating, smoking, drinking, and physical activity, and suspected COVID-19 symptoms. Principal component analysis, correlation analysis, and bivariate and multivariate linear and logistic regression models were used to validate the eHEALS and examine associations.
resultsThe eHEALS had a satisfactory construct validity with 8 items highly loaded on one component, with factor loadings ranked from 0.78 to 0.92 explaining 76.34% of variance; satisfactory criterion validity as correlated with HL (ρ=0.42); satisfactory convergent validity with high item-scale correlations (ρ=0.80-0.84); and high internal consistency (Cronbach α=.95). HL and eHEALS scores were significantly higher in men (unstandardized coefficient [B]=1.01, 95% CI 0.57-1.45, P<.001; B=0.72, 95% CI 0.43-1.00, P<.001), those with a better ability to pay for medication (B=1.65, 95% CI 1.25-2.05, P<.001; B=0.60, 95% CI 0.34-0.86, P<.001), doctors (B=1.29, 95% CI 0.73-1.84, P<.001; B 0.56, 95% CI 0.20-0.93, P=.003), and those with epidemic containment experience (B=1.96, 95% CI 1.56-2.37, P<.001; B=0.64, 95% CI 0.38-0.91, P<.001), as compared to their counterparts, respectively. HCWs with higher HL or eHEALS scores had better adherence to IPC procedures (B=0.13, 95% CI 0.10-0.15, P<.001; B=0.22, 95% CI 0.19-0.26, P<.001), had a higher likelihood of healthy eating (odds ratio [OR] 1.04, 95% CI 1.01-1.06, P=.001; OR 1.04, 95% CI 1.02-1.07, P=.002), were more physically active (OR 1.03, 95% CI 1.02-1.03, P<.001; OR 1.04, 95% CI 1.03-1.05, P<.001), and had a lower likelihood of suspected COVID-19 symptoms (OR 0.97, 95% CI 0.96-0.98, P<.001; OR 0.96, 95% CI 0.95-0.98, P<.001), respectively.
conclusionsThe eHEALS is a valid and reliable survey tool. Gender, ability to pay for medication, profession, and epidemic containment experience were independent predictors of HL and eHEALS scores. HCWs with higher HL or eHEALS scores had better adherence to IPC procedures, healthier lifestyles, and a lower likelihood of suspected COVID-19 symptoms. Efforts to improve HCWs' HL and eHEALS scores can help to contain the COVID-19 pandemic and minimize its consequences.
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