Electronic health literacy in Swiss-German parents : cross-sectional study of eHealth literacy scale unidimensionality
| Autor: | Julia Dratva, Isabel Baumann, Rebecca Jaks, Matthew James Kerry, Sibylle Juvalta |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male 020205 medical informatics Wilcoxon signed-rank test Adolescent Psychometrics Item response theory (IRT) media_common.quotation_subject Bifactor model Health Informatics Health literacy Sample (statistics) 02 engineering and technology Literacy Validity 03 medical and health sciences Young Adult 0302 clinical medicine Germany Surveys and Questionnaires Item response theory 0202 electrical engineering electronic engineering information engineering eHealth Humans 030212 general & internal medicine Unidimensionality media_common Aged Internet Original Paper eHEALS Multidimensionality Polychoric correlation Middle Aged Exploratory factor analysis Telemedicine Cross-Sectional Studies 610: Medizin und Gesundheit Female Factor analysis Psychology Switzerland Clinical psychology |
| Zdroj: | Journal of Medical Internet Research |
| DOI: | 10.21256/zhaw-19823 |
| Popis: | Background Parents 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. Objective This 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. Methods A 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. Results Parents 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. Conclusions The 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. |
| Databáze: | OpenAIRE |
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