Evidence map›Paper›PMID 39630246›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025

[Learning digital health literacy in school: results of a representative survey of pupils in Germany].

Denise Renninger, Lisa Stauch, Lisa Fischer, Anja Hartmann, Pia Rangnow, Kevin Dadaczynski, Orkan Okan

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Denise RenningerDepartment of Health and Sport Sciences, TUM School of Medicine and Health, TUM Health Literacy Unit WHO Collaborating Centre for Health Literacy, Technische Universität München (TUM), Uptown München-Campus D, Georg-Brauchle-Ring 60/62, 80992, München, Deutschland. denise.renninger@tum.de.ORCID http://orcid.org/0000-0002-9212-729X
Lisa StauchDepartment of Health and Sport Sciences, TUM School of Medicine and Health, TUM Health Literacy Unit WHO Collaborating Centre for Health Literacy, Technische Universität München (TUM), Uptown München-Campus D, Georg-Brauchle-Ring 60/62, 80992, München, Deutschland.ORCID http://orcid.org/0009-0004-3897-2224
Lisa FischerFachbereich Gesundheitswissenschaften, Hochschule Fulda, Fulda, Deutschland.
Anja HartmannFachbereich Gesundheitswissenschaften, Hochschule Fulda, Fulda, Deutschland.
Pia RangnowFachbereich Gesundheitswissenschaften, Hochschule Fulda, Fulda, Deutschland.ORCID http://orcid.org/0000-0002-8239-7886
Kevin DadaczynskiFachbereich Gesundheitswissenschaften, Hochschule Fulda, Fulda, Deutschland.ORCID http://orcid.org/0000-0002-7367-5362
Orkan OkanDepartment of Health and Sport Sciences, TUM School of Medicine and Health, TUM Health Literacy Unit WHO Collaborating Centre for Health Literacy, Technische Universität München (TUM), Uptown München-Campus D, Georg-Brauchle-Ring 60/62, 80992, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital information sources provide adolescents with quick access to health-related information. Schools are ideal for promoting digital health literacy and enabling students to handle such information safely. The aim of this paper is to present initial results from a representative study on learning digital health literacy in schools, with a focus on sociodemographic and socioeconomic differences.

methodsThe cross-sectional study was conducted in Germany with 1448 students (aged 9 to 18 years) as part of the DURCHBLICKT! PROJECT: Bivariate and multivariate analyses were used to examine differences and relationships in the learning of digital health literacy in school and gender, age, migration background, and subjective social status.

resultsApproximately 50% of students reported that they had not (or only to a limited extent) learned digital health literacy in school. The chi-square test reveals significant differences in terms of gender, age, migration background, and social status. Regression analyses indicate that age and subjective social status are significant factors for acquiring digital health literacy. DISCUSSION: The high number of students who do not learn digital health literacy in school is concerning, especially given their often low levels of digital health literacy. The results highlight the need for targeted educational strategies-especially those tailored to gender and socioeconomic status-to promote digital health literacy and reduce social inequalities.

Indexed as

Digital TechnologyHealth EducationHealth LiteracyStudentsAdolescentChildCross-Sectional StudiesFemaleGermanyHumansMaleSchoolsDigital health literacyHealth informationLearningMedia literacySchoolSecondary school

Identifiers

PMID39630246
PMCPMC11868150

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.