ArticleHealth science reports2025
Health Information Avoidance and eHealth Literacy in Patients With Multiple Sclerosis: A Cross-Sectional Correlational Study.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Exploring attitudes and acceptance of artificial intelligence in multiple sclerosis from the patient perspective.PLOS digital health · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Information avoidance refers to deliberately evading or delaying access to freely accessible but undesired information, and eHealth literacy refers to people's capability to comprehend, assess, find, and use health knowledge derived from electronic sources. The present study aims to investigate the health information avoidance and eHealth literacy levels in patients with multiple sclerosis (MS) in Fars Province, Iran, and their correlation with each other. Methods: The present research method was a cross-sectional correlational study. The studied population included all patients with MS in Fars Province, Iran, in 2023. The sampling method was convenience sampling with a sample size of 127 people. The data collection tools consist of the Health Information Avoidance Questionnaire and the eHEALS Questionnaire. Data analysis was performed using descriptive statistics, Pearson's correlation coefficient, Results: The average score for general health information avoidance was 9.06 out of 20 points, while the average score for MS health information avoidance was 20.52 out of 50, and the average patient eHealth literacy score was 26.28 out of 40 points. However, this analysis found no significant correlation between general health information or MS health information avoidance and eHealth literacy avoidance ( Conclusion: Most patients show an above-average understanding of health information literacy and minimal health information avoidance. Nevertheless, micro-and macro-level strategies and policies are necessary to decrease this avoidance and enhance eHealth literacy optimally. However, because of the convenience sampling, the generalization to the broader population should be approached with caution.
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