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Measuring navigational and digital health literacy in individuals with long-term conditions: latent trait analyses using Rasch modelling.

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Title: Measuring navigational and digital health literacy in individuals with long-term conditions: latent trait analyses using Rasch modelling.
Authors: Haaland M; Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway.; Norwegian Center for Health Literacy and Coping, Health Literacy Section, Department of Education and Competence Development, Oslo University Hospital, Oslo, Norway., Finbråten HS; Faculty of Social and Health Sciences, Department of Health and Nursing Sciences, University of Inland Norway, Elverum, Norway., Helseth S; Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway., Le C; Faculty of Social and Health Sciences, Department of Health and Nursing Sciences, University of Inland Norway, Elverum, Norway.; The Norwegian Directorate of Health, Oslo, Norway., Skirbekk H; Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway., Guttersrud Ø; The Norwegian Directorate of Health, Oslo, Norway.; Faculty of Mathematics and Natural Sciences, Norwegian Centre for Science Education, University of Oslo, Oslo, Norway.
Source: Frontiers in public health [Front Public Health] 2026 May 04; Vol. 14, pp. 1751340. Date of Electronic Publication: 2026 May 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2565
DOI:10.3389/fpubh.2026.1751340