Profiles of health literacy and digital health literacy in clusters of hospitalised patients: a single-centre, cross-sectional study.

Autor:	Andersen MH; Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway marit.andersen@ous-hf.no.; Department of Interdisciplinary Health Sciences, University of Oslo, Oslo, Norway., Hermansen Å; Faculty of Social Sciences, Department of Social Work, Child Welfare and Social Policy, Oslo Metropolitan University, Oslo, Norway., Dahl KG; Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway., Lønning K; Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway., Meyer KB; Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway., Vidnes TK; Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway., Wahl AK; Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.; Department of Interdisciplinary Health Sciences, University of Oslo, Oslo, Norway.
Jazyk:	angličtina
Zdroj:	BMJ open [BMJ Open] 2024 May 20; Vol. 14 (5), pp. e077440. Date of Electronic Publication: 2024 May 20.
DOI:	10.1136/bmjopen-2023-077440
Abstrakt:	Objective: To investigate health literacy (HL) and digital health literacy (eHL) among patients hospitalised in surgical and medical wards using a cluster analysis approach. Design: Cross-sectional study using Ward's hierarchical clustering method to measure cluster adequacy by evaluating distances between cluster centroids (a measure of cohesion). Different distances produced different cluster solutions. Setting and Participants: The study was conducted at a Norwegian university hospital. A total of 260 hospitalised patients were enrolled between 24 May and 6 June 2021. Data Collection: All data were collected by self-reported questionnaires. Data on HL and eHL were collected by the Health Literacy Questionnaire (HLQ) and the eHealth Literacy Questionnaire (eHLQ). We also collected data on background characteristics, health status and patient diagnosis. Results: We found six HLQ clusters to be the best solution of the sample, identifying substantial diversity in HL strengths and challenges. Two clusters, representing 21% of the total sample, reported the lowest HLQ scores in eight of nine HLQ domains. Compared with the other clusters, these two contained the highest number of women, as well as the patients with the highest mean age, a low level of education and the lowest proportion of being employed. One of these clusters also represented patients with the lowest health status score. We identified six eHL clusters, two of which represented 31% of the total sample with the lowest eHLQ scores in five of seven eHLQ domains, with background characteristics comparable to patients in the low-scoring HLQ clusters. Conclusions: This study provides new, nuanced knowledge about HL and eHL profiles in different clusters of patients hospitalised in surgical and medical wards. With such data, healthcare professionals can take into account vulnerable patients' HL needs and tailor information and communication accordingly. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze:	MEDLINE
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