Evidence map›Paper›PMID 38772592›Full record

ArticleBMJ open2024

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

Marit Helen Andersen, Åsmund Hermansen, Kari Gire Dahl, Kjersti Lønning, Käthe Birgitte Meyer, Tone Karine Vidnes, Astrid Klopstad Wahl

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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Marit Helen AndersenDepartment of Transplantation Medicine, Oslo University Hospital, Oslo, Norway marit.andersen@ous-hf.no.ORCID 0000-0002-6115-3268
Åsmund HermansenFaculty of Social Sciences, Department of Social Work, Child Welfare and Social Policy, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0002-0826-0689
Kari Gire DahlDepartment of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.
Kjersti LønningDepartment of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-3755-0447
Käthe Birgitte MeyerDepartment of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.
Tone Karine VidnesDepartment of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.
Astrid Klopstad WahlDepartment of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate health literacy (HL) and digital health literacy (eHL) among patients hospitalised in surgical and medical wards using a cluster analysis approach.

designCross-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

participantsThe 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.

resultsWe 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.

conclusionsThis 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.

Indexed as

Health LiteracyHospitalizationAdultAgedCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedNorwaySurveys and QuestionnairesTelemedicinehealth literacyhospitalizationpatients

Identifiers

PMID38772592
PMCPMC11110586

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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.