Evidence map›Paper›PMID 41041464›Full record

ArticleDigital health

Exploring digital health literacy clusters in a Norwegian stroke survivor population-A cross-sectional study (NORFAST).

Anne-M Linnestad, Ingrid Johansen Skogestad, Caryl L Gay, Christine Råheim Borge, Bent Indredavik, Jan Stubberud, Anners Lerdal

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anne-M LinnestadDepartment of Public Health and Interdisciplinary Health Sciences, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0001-6485-3561
Ingrid Johansen SkogestadDepartment of Research, Lovisenberg Diaconal Hospital, Oslo, Norway.
Caryl L GayDepartment of Research, Lovisenberg Diaconal Hospital, Oslo, Norway.ORCID https://orcid.org/0000-0002-6865-6335
Christine Råheim BorgeDepartment of Public Health and Interdisciplinary Health Sciences, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0003-4219-597X
Bent IndredavikDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway.
Jan StubberudDepartment of Research, Lovisenberg Diaconal Hospital, Oslo, Norway.ORCID https://orcid.org/0000-0001-9592-8589
Anners LerdalDepartment of Public Health and Interdisciplinary Health Sciences, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0002-7144-5096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health technologies play a pivotal role in stroke prevention and rehabilitation. However, variations in digital health literacy (DHL) among stroke survivors may impede effective use of these tools. Understanding DHL-profiles and their influencing factors is essential for tailoring interventions. Aim: This study aimed to identify DHL-profiles among stroke survivors and possible associations with sociodemographic and clinical characteristics. Methods: We conducted a cross-sectional study with 177 first-time stroke patients (2021-2022) from the Norwegian stroke registry. DHL was measured using the eHealth Literacy Questionnaire. Cluster analysis identified DHL profiles, and multinomial regression explored associations with sociodemographic and clinical variables. Results: Three distinct DHL-profiles emerged: Novices (26%), Cautious users (57%), and Navigators (17%). Novices exhibited notable DHL limitations, cautious users demonstrated moderate proficiency, and navigators displayed a high level of proficiency. Participants aged ≥67 years were five times more likely to be Novices compared to Cautious users. Lower education and cognitive functioning increased novice likelihood, whereas living alone decreased the chance of being a Navigator. Conclusions: Diverse DHL-profiles among stroke survivors highlight the need for personalized digital health services. Tailored interventions, developed through co-design and addressing specific DHL challenges, may improve equitable access and enhance usability, ultimately promoting health equity.

Indexed as

cluster analysiscross-sectionalDigital health literacyeHealth literacyrehabilitationstroke

Identifiers

PMID41041464
PMCPMC12484892

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.