ArticleFrontiers in public health2026
Electronic health literacy and related factors among nursing students: a latent profile analysis.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In the context of rapid information technology development and widespread internet-based healthcare, electronic health literacy (eHL) is essential for health promotion and disease prevention. As prospective nurses, nursing students require sufficient eHL to retrieve, evaluate, and apply digital health information in clinical practice and health education. However, evidence regarding the heterogeneity and influencing factors of eHL among nursing interns in China remains limited. Methods: This multicenter cross-sectional study recruited 1,191 nursing interns from six hospitals in Anhui Province using convenience cluster sampling. Data were collected from October to December 2025. Latent profile analysis, multivariate logistic regression, and Spearman's rank correlation were applied. Results: Three distinct latent classes of eHL were identified: low eHL (28.89%), medium eHL (45.42%), and high eHL (25.69%). The overall mean eHL score among the interns was 77.57 (SD = 14.68). Multivariate logistic regression analysis indicated that, compared with those in the low eHL group, nursing students with higher educational levels, higher health information literacy, and fewer weekly episodes of staying up late were more likely to be classified into the medium and high eHL groups ( Conclusion: Electronic health literacy among nursing students remains at a moderate level. Universities should strengthen systematic health literacy education, guide students to access reputable health websites, and recommend reliable health information resources. Hospitals may establish health consultation centers or virtual platforms to assist nursing students in identifying and evaluating online health information and addressing their practical health needs.
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.