Spanish and Catalan Versions of the eHealth Literacy Questionnaire: Translation, Cross-Cultural Adaptation, and Validation Study.
digital health
eHLQ
eHealth
eHealth Literacy Questionnaire
eHealth literacy
health literacy
questionnaire
validation
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
10 May 2024
10 May 2024
Historique:
received:
22
05
2023
accepted:
01
03
2024
revised:
31
10
2023
medline:
10
5
2024
pubmed:
10
5
2024
entrez:
10
5
2024
Statut:
epublish
Résumé
The rise of digital health services, especially following the outbreak of COVID-19, has led to a need for health literacy policies that respond to people's needs. Spain is a country with a highly developed digital health infrastructure, but there are currently no tools available to measure digital health literacy fully. A well-thought-through questionnaire with strong psychometric properties such as the eHealth Literacy Questionnaire (eHLQ) is important to assess people's eHealth literacy levels, especially in the context of a fast-growing field such as digital health. This study aims to adapt the eHLQ and gather evidence of its psychometric quality in 2 of Spain's official languages: Spanish and Catalan. A systematic cultural adaptation process was followed. Data from Spanish-speaking (n=400) and Catalan-speaking (n=400) people were collected. Confirmatory factor analysis was used to confirm the previously established factor structure. For reliability, the Cronbach α and categorical ω were obtained for every subscale. Evidence of convergent and discriminant validity was provided through the correlation with the total score of the eHealth Literacy Scale. Evidence based on relations to other variables was evaluated by examining extreme values for educational level, socioeconomic level, and use of technology variables. Regarding the confirmatory factor analysis, the 7-factor correlated model and the 7 one-factor models had adequate goodness-of-fit indexes for both Spanish and Catalan. Moreover, measurement invariance was established between the Spanish and Catalan versions. Reliability estimates were considered adequate as all the scales in both versions had values of >0.80. For convergent and discriminant validity evidence, the eHealth Literacy Scale showed moderate correlation with eHLQ scales in both versions (Spanish: range 0.57-0.76 and P<.001; Catalan: range 0.41-0.64 and P<.001). According to the relationship with external variables, all the eHLQ scales in both languages could discriminate between the maximum and minimum categories in level of education, socioeconomic level, and level of technology use. The Spanish and Catalan versions of the eHLQ appear to be psychometrically sound questionnaires for assessing digital health literacy. They could both be useful tools in Spain and Catalonia for researchers, policy makers, and health service managers to explore people's needs, skills, and competencies and provide interesting insights into their interactions and engagement regarding their own experiences with digital health services, especially in the context of digital health growth in Spain.
Sections du résumé
BACKGROUND
BACKGROUND
The rise of digital health services, especially following the outbreak of COVID-19, has led to a need for health literacy policies that respond to people's needs. Spain is a country with a highly developed digital health infrastructure, but there are currently no tools available to measure digital health literacy fully. A well-thought-through questionnaire with strong psychometric properties such as the eHealth Literacy Questionnaire (eHLQ) is important to assess people's eHealth literacy levels, especially in the context of a fast-growing field such as digital health.
OBJECTIVE
OBJECTIVE
This study aims to adapt the eHLQ and gather evidence of its psychometric quality in 2 of Spain's official languages: Spanish and Catalan.
METHODS
METHODS
A systematic cultural adaptation process was followed. Data from Spanish-speaking (n=400) and Catalan-speaking (n=400) people were collected. Confirmatory factor analysis was used to confirm the previously established factor structure. For reliability, the Cronbach α and categorical ω were obtained for every subscale. Evidence of convergent and discriminant validity was provided through the correlation with the total score of the eHealth Literacy Scale. Evidence based on relations to other variables was evaluated by examining extreme values for educational level, socioeconomic level, and use of technology variables.
RESULTS
RESULTS
Regarding the confirmatory factor analysis, the 7-factor correlated model and the 7 one-factor models had adequate goodness-of-fit indexes for both Spanish and Catalan. Moreover, measurement invariance was established between the Spanish and Catalan versions. Reliability estimates were considered adequate as all the scales in both versions had values of >0.80. For convergent and discriminant validity evidence, the eHealth Literacy Scale showed moderate correlation with eHLQ scales in both versions (Spanish: range 0.57-0.76 and P<.001; Catalan: range 0.41-0.64 and P<.001). According to the relationship with external variables, all the eHLQ scales in both languages could discriminate between the maximum and minimum categories in level of education, socioeconomic level, and level of technology use.
CONCLUSIONS
CONCLUSIONS
The Spanish and Catalan versions of the eHLQ appear to be psychometrically sound questionnaires for assessing digital health literacy. They could both be useful tools in Spain and Catalonia for researchers, policy makers, and health service managers to explore people's needs, skills, and competencies and provide interesting insights into their interactions and engagement regarding their own experiences with digital health services, especially in the context of digital health growth in Spain.
Identifiants
pubmed: 38728072
pii: v26i1e49227
doi: 10.2196/49227
doi:
Types de publication
Journal Article
Validation Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e49227Informations de copyright
©Eulàlia Hernández Encuentra, Noemí Robles, Ariadna Angulo-Brunet, David Cullen, Ignacio del Arco. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.05.2024.