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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 6, 2022
Date Accepted: Mar 10, 2023

The final, peer-reviewed published version of this preprint can be found here:

The Swedish Version of the eHealth Literacy Questionnaire: Translation, Cultural Adaptation, and Validation Study

Sjöström AE, Hajdarevic S, Hörnsten , Kristjánsdóttir , Castor C, Isaksson U

The Swedish Version of the eHealth Literacy Questionnaire: Translation, Cultural Adaptation, and Validation Study

J Med Internet Res 2023;25:e43267

DOI: 10.2196/43267

PMID: 37043268

PMCID: 10134016

The Swedish Version of the eHealth Literacy Questionnaire (eHLQ): Translation, Cultural Adaptation and Validation Study

  • Anna E Sjöström; 
  • Senada Hajdarevic; 
  • Åsa Hörnsten; 
  • Ólöf Kristjánsdóttir; 
  • Charlotte Castor; 
  • Ulf Isaksson

ABSTRACT

Background:

With increasing digitalization in healthcare, an effective instrument is necessary to assess healthcare consumers’ digital needs and skills—their “eHealth literacy.” The 7-scale eHealth Literacy Questionnaire (eHLQ), based on the theoretically robust eHealth Literacy Framework, has shown strong psychometric properties in Denmark and Australia.

Objective:

The aim of this study was to translate, culturally adapt, and evaluate the psychometric properties of the Swedish version of the eHLQ.

Methods:

We followed the Translation Integrity Procedure guidelines to translate and culturally adapt the questionnaire to Swedish using forward and backward translations, review by an expert panel, and cognitive interviewing. The psychometric properties of the Swedish eHLQ were investigated by evaluating its internal consistency (Cronbach’s α) and a priori defined factor structure (confirmatory factor analysis).

Results:

A total of 236 primary healthcare patients and parents of hospitalized children were included in the validation analysis. The mean age was 48.5, and 129 (55%) were women. All seven eHLQ scales showed good internal consistency, with Cronbach’s α ranging from .82 to .92. Single-factor and 7-factor confirmatory factor analysis showed satisfactory model-fit values. With one exception, all items demonstrated satisfactory loadings on their respective factors.

Conclusions:

The Swedish eHLQ demonstrated strong psychometric properties. It has potential as a useful tool for a variety of purposes, including population surveys, intervention evaluations, and eHealth service implementations.


 Citation

Please cite as:

Sjöström AE, Hajdarevic S, Hörnsten , Kristjánsdóttir , Castor C, Isaksson U

The Swedish Version of the eHealth Literacy Questionnaire: Translation, Cultural Adaptation, and Validation Study

J Med Internet Res 2023;25:e43267

DOI: 10.2196/43267

PMID: 37043268

PMCID: 10134016

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