ArticleJournal of preventive medicine and hygiene2025
Network Analysis of the HLS
Article in Journal of preventive medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The widespread use of the internet and social media has transformed how people access health information impacting health literacy. Health literacy, the ability to access, understand, and use health information, is crucial to promote and maintain good health. This study is the first exploring with network analysis the correlation and distribution of the items of the Health Literacy Survey Questionnaire (HLS-Q) 12 short form to verify their correspondence to the principal domains of the health literacy conceptual model proposed by Sorensen et al. in 2013. Materials and Methods: A digital version of the Italian HLS19-Q12 questionnaire was distributed online through social media and informal channels in May 2024. The sample consisted of 352 participants from the metropolitan area of Cagliari, Italy. Network analysis was employed to examine the clustering and relationships between the questionnaire items, via JASP using the Ising Fit method. Results: Key findings include significant difficulties in accessing professional help and understanding medical emergencies. Network centrality measures highlighted the prominence of items related to understanding medical emergencies and making health decisions. Three clusters corresponding to healthcare, disease prevention, and health promotion, were visually identified with the last two closely interconnected. The item "making decisions to improve health" is crucial, acting as a bridge between clusters. Some items traditionally belonging to one domain shifted to another. Conclusions: The network analysis provided a clear depiction of health literacy as complex system, emphasizing interactions. Health literacy involves accessing, evaluating, and applying information, with empowerment playing a key role according to our findings. By addressing identified needs and focusing on prominent items, healthcare professionals and policymakers can enhance health literacy and improve health outcomes for individuals and communities. This pilot study's findings could benefit future research and interventions to improve health literacy.
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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.