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HLS19-NAV - validation of a new instrument measuring navigational health literacy in eight European countries

2022-11Journal article Open access
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dc.contributor.authoron behalf of the HLS Consortium
dc.contributor.authorGriese, Lennert
dc.contributor.authorFinbråten, Hanne S.
dc.contributor.authorFrancisco, Rita
dc.contributor.authorGani, Saskia M. de
dc.contributor.authorGriebler, Robert
dc.contributor.authorGuttersrud, Øystein
dc.contributor.authorJaks, Rebecca
dc.contributor.authorLe, Christopher
dc.contributor.authorLink, Thomas
dc.contributor.authorCosta, Andreia Silva da
dc.contributor.authorArriaga, Miguel Telo de
dc.contributor.authorTouzani, Rajae
dc.contributor.authorVrdelja, Mitja
dc.contributor.authorPelikan, Jürgen M.
dc.contributor.authorSchaeffer, Doris
dc.date.accessioned2022-11-30T10:24:38Z
dc.date.available2022-11-30T10:24:38Z
dc.date.issued2022-11
dc.description.abstractTo manoeuvre a complex and fragmented health care system, people need sufficient navigational health literacy (NAV-HL). The objective of this study was to validate the HLS19-NAV measurement scale applied in the European Health Literacy Population Survey 2019–2021 (HLS19). From December 2019 to January 2021, data on NAV-HL was collected in eight European countries. The HLS19-NAV was translated into seven languages and successfully applied in and validated for eight countries, where language and survey method differed. The psychometric properties of the scale were assessed using confirmatory factor analysis (CFA) and Rasch modelling. The tested CFA models sufficiently well described the observed correlation structures. In most countries, the NAV-HL data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). For some countries, some items showed poor data–model fit when tested against the PCM, and some items displayed differential item functioning for selected person factors. The HLS19-NAV demonstrated high internal consistency. To ensure content validity, the HLS19-NAV was developed based on a conceptual framework. As an estimate of discriminant validity, the Pearson correlations between the NAV-HL and general health literacy (GEN-HL) scales were computed. Concurrent predictive validity was estimated by testing whether the HLS19-NAV, like general HL measures, follows a social gradient and whether it forms a predictor of general health status as a health-related outcome of general HL. In some countries, adjustments at the item level may be beneficial.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/ijerph192113863pt_PT
dc.identifier.eid85141589163
dc.identifier.issn1661-7827
dc.identifier.pmcPMC9654211
dc.identifier.pmid36360755
dc.identifier.urihttp://hdl.handle.net/10400.14/39441
dc.identifier.wos000883139100001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHLS surveypt_PT
dc.subjectRasch modellingpt_PT
dc.subjectConfirmatory factor analysispt_PT
dc.subjectHealth care systempt_PT
dc.subjectHealth informationpt_PT
dc.subjectHealth literacypt_PT
dc.subjectInstrumentpt_PT
dc.subjectNavigationpt_PT
dc.subjectQuestionnairept_PT
dc.subjectValidationpt_PT
dc.titleHLS19-NAV - validation of a new instrument measuring navigational health literacy in eight European countriespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue21pt_PT
oaire.citation.titleInternational Journal of Environmental Research and Public Healthpt_PT
oaire.citation.volume19pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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