ArticleInteractive journal of medical research2016
eHealth Literacy: In the Quest of the Contributing Factors.
Article in Interactive journal of medical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 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
60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 155 citations in OpenAlex.
- Effectiveness of eHealth literacy interventions: a systematic review and meta-analysis of experimental studies.BMC public health · 2025Pooled it
- Determinants and outcomes of eHealth literacy in healthy adults: A systematic review.PloS one · 2023Pooled it
- Dose-Response Relationship of a Web-Based Tailored Intervention Promoting Human Papillomavirus Vaccination: Process Evaluation of a Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- Daily Digital Device Use and eHealth Literacy Among Hospitalized Older Adults With Heart Failure: A Multicenter Cohort Study.Circulation reports · 2026Article
- Εhealth Literacy, Beliefs About Medication and Adherence in Older Adults with Chronic Diseases: A Cross-sectional Study.Advances in experimental medicine and biology · 2026Article
- Determining the Feasibility and Usability of a Co-Designed Culturally Appropriate Conversational Agent (DESI-Heart) to Support Self-Care in People With Cardiovascular Diseases: Protocol for a Single-Arm Pilot Trial.JMIR research protocols · 2025Article
- Translation, Cultural Adaptation, and Validation of the Japanese eHealth Literacy Questionnaire Among Users in a Super-Aged Society: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Exploratory analysis of electronic patient-reported outcomes collection: comparing online and in-clinic modalities in cancer care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Understanding intentions to use a multi-component supported self-management platform for long COVID-19: a mixed-methods evaluation in Hong Kong.Scientific reports · 2025Article
- The Impact of e-Health Literacy on Risk Perception Among University Students.Healthcare (Basel, Switzerland) · 2025Article
- Bridging the digital divide: A snapshot on e-health literacy among medical students in Tamil Nadu, South India.Journal of education and health promotion · 2025Article
- 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
- [Concept of Digital Health Literacy: A Scoping Review].Jugan geon-gang gwa jilbyeong · 2024Review
- Health and eHealth Literacy of Patients With Diabetes in Low-Income Countries: Perspective From Guinea and Burkina Faso.JMIR diabetes · 2024Article
- From Validation to Assessment of e-Health Literacy: A Study among Higher Education Students in Portugal.Healthcare (Basel, Switzerland) · 2024Article
- Serbian Version of the eHealth Literacy Questionnaire (eHLQ): Translation, Cultural Adaptation, and Validation Study Among Primary Health Care Users.Journal of medical Internet research · 2024Article
- Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China.International journal for equity in health · 2024Article
- Digital health literacy and associated factors among internet users from China: a cross-sectional study.BMC public health · 2024Article
- The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data.JMIR mHealth and uHealth · 2024Article
- Factors Affecting Usage of a Digital Asthma Monitoring Application by Old-Age Asthmatics Living in Inner Central Portugal.Clinical interventions in aging · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding the factors that influence eHealth in a country is particularly important for health policy decision makers and the health care market, as it provides critical information to develop targeted and tailored interventions for relevant patient-consumer segments, and further suggests appropriate strategies for training the health illiterate part of the population.
objectiveThe objective of the study is to assess the eHealth literacy level of Greek citizens, using the eHealth Literacy Scale (eHEALS), and further explore the factors that shape it and are associated with it.
methodsThis empirical study relies on a unique sample of 1064 citizens in Greece in the year 2013. The participants were requested to answer various questions about their ability to solve health-related issues using the Internet, and to provide information about their demographic characteristics and life-style habits. Ordered logit models were used to describe a certain citizen's likelihood of being eHealth literate.
resultsThe demographic factors show that the probability of an individual being eHealth literate decreases by 23% (P=.001) when the individual ages and increases by 53% (P<.001) when he or she acquires higher level of education. Among the life-style variables, physical exercise appears to be strongly and positively associated with the level of eHealth literacy (P=.001). Additionally, other types of technology literacies, such as computer literacy and information literacy, further enhance the eHealth performance of citizens and have the greatest impact among all factors.
conclusionsThe factors influencing eHealth literacy are complex and interdependent. However, the Internet is a disruptive factor in the relationship between health provider and health consumer. Further research is needed to examine how several factors associate with eHealth literacy, since, the latter is not only related to health care outcomes but also can be a tool for disseminating social inequalities.
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.