ArticleBMC medical informatics and decision making2020
E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey.
Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 7 of them syntheses that pooled 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.
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.
Who cites it
82 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Effectiveness of mHealth Interventions for Improving eHealth Literacy Among Patients With Chronic Diseases: Meta-Analysis and Systematic Review.Journal of medical Internet research · 2026Pooled it
- Factors influencing digital health literacy in stroke patients based on social cognitive theory: a mixed-methods systematic review.Frontiers in public health · 2026Pooled it
- The level of electronic health literacy among older adults: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2024Pooled it
- Effectiveness of Digital Health Literacy Interventions in Older Adults: Single-Arm Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- eHealth literacy and its associated factors in Ethiopia: Systematic review and meta-analysis.PloS one · 2023Pooled it
- Modifiable predictors of health literacy in working-age adults - a rapid review and meta-analysis.BMC public health · 2022Pooled it
- Using serious mobile games to improve health literacy in rural Sub-Saharan Africa: A literature review.Frontiers in public health · 2022Pooled it
- Age-Related Patterns in Health Literacy and Health Information-Seeking Behavior in a Korean Population: Cross-Sectional Study.JMIR public health and surveillance · 2026Article
- Assessment of electronic health literacy and its associated factors among internet -using primary health care attendees in Mansoura district, Egypt: a cross-sectional study.BMC public health · 2026Article
- Artificial intelligence attitudes in relation to Mediterranean diet adherence and environmental footprints: a cross-sectional study.BMC public health · 2026Article
- Translation and Psychometric Validation of the Amharic eHealth Literacy Questionnaire: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Review
- Associations between digital healthy diet literacy, artificial intelligence attitudes, mediterranean diet adherence, and health-related quality of life in adults.BMC public health · 2026Article
- Evaluation of the relevance, acceptability, and adaptability of an existing healthy lifestyle program for people living with HIV.BMC public health · 2026Article
- Digital Health Literacy and Health Technology Readiness Among People With Epilepsy or Multiple Sclerosis: Cross-Sectional Study.JMIR human factors · 2026Article
- Gender disparities in eHealth literacy among Chinese university students and their decomposition.Frontiers in public health · 2026Article
- Determinants of digital health literacy among health professionals: Evidence from public and private hospitals in Eastern Ethiopia.PloS one · 2026Article
- A Multidimensional Digital Approach to Pain Assessment in Sickle Cell Disease: A Feasibility Study in Ghana.Journal of pain research · 2026Article
- Investigating the relationship between e-health literacy and the tendencies and preferences of patients with type 2 diabetes in using self-management technologies.Journal of education and health promotion · 2026Article
- eHealth literacy in older patients with cardiovascular disease: latent profile analysis and associated factors.Frontiers in public health · 2026Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic patients persistently seek for health information on the internet for medication information seeking, nutrition, disease management, information regarding disease preventive actions and so on. Consumers ability to search, find, appraise and use health information from the internet is known as eHealth literacy skill. eHealth literacy is a congregate set of six basic skills (traditional literacy, health literacy, information literacy, scientific literacy, media literacy and computer literacy). The aim of this study was to assess eHealth literacy level and associated factors among internet user chronic patients in North-west Ethiopia.
methodsInstitutional based cross-sectional study design was conducted. Stratified sampling technique was used to select 423 study participants among chronic patients. The eHealth literacy scale (eHEALS) was used for data collection. The eHEALS is a validated eight-item Likert scaled questionnaire used to asses self-reported capability of eHealth consumers to find, appraise, and use health related information from the internet to solve health problems. Statistical Package for Social science version 20 was used for data entry and further analysis. Multivariable logistic regression was used to examine the association between the eHealth literacy skill and associated factors. Significance was obtained at 95% CI and p < 0.05.
resultIn total, 423 study subjects were approached and included in the study from February to May, 2019. The response rate to the survey was 95.3%. The majority of respondents 268 (66.3%) were males and mean age was 35.58 ± 14.8 years. The multivariable logistic regression model indicated that participants with higher education (at least having the diploma) are more likely to possess high eHealth literacy skill with Adjusted Odds Ratio (AOR): 3.48, 95% CI (1.54, 7.87). similarly, being government employee AOR: 1.71, 95% CI (1.11, 2.68), being urban resident AOR: 1.37, 95% CI (0.54, 3.49), perceived good health status AOR: 3.97, 95% CI (1.38, 11.38), having higher income AOR: 4.44, 95% CI (1.32, 14.86), Daily internet use AOR: 2.96, 95% CI (1.08, 6.76), having good knowledge about the availability and importance of online resources AOR: 3.12, 95% CI (1.61, 5.3), having positive attitude toward online resources AOR: 2.94, 95% CI (1.07, 3.52) and higher level of computer literacy AOR: 3.81, 95% CI (2.19, 6.61) were the predictors positively associated with higher eHealth literacy level.
conclusionBesides the mounting indication of efficacy, the present data confirm that internet use and eHealth literacy level of chronic patients in this setting is relatively low which clearly implicate that there is a need to fill the skill gap in eHealth literacy among chronic patients which might help them in finding and evaluating relevant online sources for their health-related decisions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.