Evidence map›Paper›PMID 32167476›Full record

ArticleJournal of medical Internet research2020

Electronic Health Literacy in Swiss-German Parents: Cross-Sectional Study of eHealth Literacy Scale Unidimensionality.

Sibylle Juvalta, Matthew J Kerry, Rebecca Jaks, Isabel Baumann, Julia Dratva

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
9.6field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  8. [Digital health literacy in Germany: current status, concepts, and challenges].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
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  17. Profile of the Users and the Most Visited Topics of a Pediatric eHealth Website.International journal of environmental research and public health · 2021
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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 at 2 institutions in 1 country.

Sibylle JuvaltaInstitute of Health Sciences, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID 0000-0002-1378-847X
Matthew J KerryInstitute of Health Sciences, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID 0000-0002-1339-899X
Rebecca JaksInstitute of Health Sciences, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID 0000-0002-4998-2792
Isabel BaumannInstitute of Health Sciences, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID 0000-0002-8813-9722
Julia DratvaInstitute of Health Sciences, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID 0000-0002-9003-2027
ZHAW Zurich University of Applied Sciences · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParents often use digital media to search for information related to their children's health. As the quantity and quality of digital sources meant specifically for parents expand, parents' digital health literacy is increasingly important to process the information they retrieve. One of the earliest developed and widely used instruments to assess digital health literacy is the self-reported eHealth Literacy Scale (eHEALS). However, the eHEALS has not been psychometrically validated in a sample of parents. Given the inconsistency of the eHEALS underlying factor structure across previous reports, it is particularly important for validation to occur.

objectiveThis study aimed to determine the factor structure of the German eHEALS measure in a sample of parents by adopting classic and modern psychometric approaches. In particular, this study sought to identify the eHEALS validity as a unidimensional index as well as the viability for potential subscales.

methodsA cross-sectional design was used across two purposive sampling frames: online and paper administrations. Responses were collected between January 2018 and May 2018 from 703 Swiss-German parents. In addition to determining the sampling characteristics, we conducted exploratory factor analysis of the eHEALS by considering its ordinal structure using polychoric correlations. This analysis was performed separately for online-based and paper-based responses to examine the general factor strength of the eHEALS as a unidimensional index. Furthermore, item response theory (IRT) analyses were conducted by fitting eHEALS to a bifactor model to further inspect its unidimensionality and subscale viability.

resultsParents in both samples were predominantly mothers (622/703, 88.5%), highly educated (538/703, 76.9%), of Swiss nationality (489/703, 71.8%), and living with a partner (692/703, 98.4%). Factor analyses of the eHEALS indicated the presence of a strong general factor across both paper and online samples, and the Wilcoxon rank-sum test indicated that the eHEALS total sum score was not significantly different between the paper and online samples (P=.12). Finally, the IRT analyses indicated negligible multidimensionality, insufficient subscale reliability after accounting for the eHEALS general factor, and a reduced subset of items that could serve as a unidimensional index of the eHEALS across the paper and online samples.

conclusionsThe German eHEALS evidenced good psychometric properties in a parent-specific study sample. Factor analyses indicated a strong general factor across purposively distinct sample frames (online and paper). IRT analyses validated the eHEALS as a unidimensional index while failing to find support for subscale usage.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesFemaleGermanyHealth LiteracyHumansInternetMaleMiddle AgedPsychometricsSurveys and QuestionnairesSwitzerlandTelemedicineYoung Adultbifactor modeleHEALSeHealthfactor analysishealth literacyitem response theory (IRT)multidimensionalityunidimensionalityvalidity

Identifiers

PMID32167476
PMCPMC7101498
OpenAlexW2988655469

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.