ArticleFrontiers in public health2025
eHealth literacy in a migrant community and its association with chronic disease.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Measuring eHealth Literacy in the European Economic Area, Switzerland, and the United Kingdom: Scoping Review.Journal of medical Internet research · 2026Article
- Privacy policies for FDA-authorized or FDA-recognized digital therapeutics impose high digital health literacy demands: a cross-sectional analysis.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: eHealth literacy or digital health literacy has been widely recognized for its impact on health outcomes. Migrant populations face additional challenges related to low literacy, social vulnerability, and health frailty, which may also indicate reduced levels of digital health literacy. The aim of this study was to assess digital health literacy levels in a migrant population and to examine their relationship with sociodemographic characteristics and health-related variables. Methods: This descriptive, cross-sectional, and exploratory study used a convenience sample of 101 migrant residents from a neighborhood in the Lisbon Metropolitan Area who were fluent in Portuguese. Non-Portuguese speakers were excluded, which may limit representativeness. The small sample size and the non-probabilistic recruitment strategy also constrain the generalizability of findings. Data collection included a sociodemographic and health questionnaire and the validated Portuguese version of the eHealth Literacy Questionnaire. Results: Participants reported generally low levels of eHealth literacy. Statistically significant differences were found between individuals with and without chronic disease: those without chronic disease obtained higher scores in most eHLQ dimensions. Associations were also observed with age and educational level. Effect sizes indicated that these associations ranged from weak (e.g., access to digital services that work, r = 0.286) to moderate (e.g., ability to actively engage with digital services, r = 0.472; digital services that suit individual needs, r = 0.432), providing a clearer picture of the magnitude of effects. Discussion: The findings show that despite fluency in Portuguese, migrants demonstrated persistent barriers to effectively using digital health tools, particularly those living with chronic conditions. These results highlight the intersection of clinical vulnerability and digital exclusion in this population. Conclusion: This exploratory study, while limited by the exclusion of non-Portuguese speakers, convenience sampling, and a small sample size, contributes valuable evidence on digital health inequalities in migrant communities. Effect sizes indicate that associations between eHL and perceived health status or chronic disease are of small to moderate magnitude, underlining the urgent need for culturally sensitive interventions, targeted training, and policy measures to reduce digital health disparities.
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.