Evidence map›Paper›PMID 39080573›Full record

ArticleBMC public health2024

Associations between digital health literacy and health system navigating abilities among Norwegian adolescents: validating the HLS

Christopher Le, Øystein Guttersrud, Diane Levin-Zamir, Robert Griebler, Hanne Søberg Finbråten

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

5 authors.

Christopher LeDepartment of Health and Nursing Sciences, Faculty of Social and Health Sciences, Inland Norway University of Applied Sciences, PO Box 400, Elverum, N-2418, Norway. christopher.le@inn.no.
Øystein GuttersrudNorwegian Centre for Science Education, Faculty of Mathematics and Natural Sciences, University of Oslo, PO Box 1106, Blindern, Oslo, N-0317, Norway.
Diane Levin-ZamirSchool of Public Health, University of Haifa; Department of Health Education and Promotion, Clalit Health Services, 101 Arlozovov St, Tel Aviv, Israel.
Robert GrieblerCompetence Centre Health Promotion and Healthcare, Austrian National Public Health Institute, Vienna, 1010, Austria.
Hanne Søberg FinbråtenDepartment of Health and Nursing Sciences, Faculty of Social and Health Sciences, Inland Norway University of Applied Sciences, PO Box 400, Elverum, N-2418, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite increasing global attention to health literacy and adolescents' digital health information seeking, no unidimensional instruments measuring digital health literacy (DHL) in adolescents have reportedly been validated using Rasch modeling. Moreover, the evidence of adolescents' abilities to navigate the health system (NAV-HL) in light of their DHL proficiency is still scarce. Therefore, our study aims to evaluate the psychometric properties of a DHL instrument (HLS

methodsA population-based cross-sectional survey among 890 Norwegian adolescents was conducted during April-October 2020 using computer-assisted telephone interviewing. Rasch modeling, independent samples t-test, chi-square test, and binary regression models were used to analyze the data.

resultsThe HLS

conclusionsThe HLS

Indexed as

Health LiteracyPsychometricsAdolescentAdultCross-Sectional StudiesFemaleHumansMaleNorwayReproducibility of ResultsSurveys and QuestionnairesYoung AdultAdolescentDigital health literacyHealth system navigating abilitiesHLS19-DIGIRasch modeling

Identifiers

PMID39080573
PMCPMC11290010

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.