Validation of the Arabic eHealth literacy questionnaire
A factor and Rasch analysis study
Bibliographic Data
| ID | 22079327 |
|---|---|
| Authors | Walid Al‐Qerem (0000-0001-9831-7572, Al-Zaytoonah University of Jordan), Walid Al-Qerem, Osama N Fadhil (Al-Zaytoonah University of Jordan), Anan S Jarab (0000-0002-0416-506X, Jordan University of Science and Technology), Anan Jarab, Alaa M Hammad (0000-0003-3800-1220, Al-Zaytoonah University of Jordan), Alaa Hammad, Fawaz Alasmari (0000-0003-2382-5892, King Saud University), Fawaz Al-Asmari, Rahaf Zidan (Al-Zaytoonah University of Jordan), Jean Eberhardt (0000-0003-0745-178X, Teesside University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1542477-1542477 |
| Publication date | 2025-02-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1542477 |
| PMID | 39991699 |
| OpenAlex | W4407261835 |
| Language | EN |
| References cited | 32 |
Introduction: Amidst the rapid digitalization of healthcare, there is a need for tools that accurately assess eHealth literacy across cultural contexts. This study focused on the validation of an Arabic version of the eHealth Literacy Questionnaire (eHLQ), a tool to facilitate patient engagement and health outcomes in digital healthcare. Method: Using a convenience sampling method, the study recruited a diverse sample of 657 participants from Jordan (58.9% females and 41.1% males). Results: Confirmatory Factor Analysis and Rasch analysis supported a six-factor model and demonstrated satisfactory item performance within established thresholds. The findings revealed good internal consistency with Cronbach's α ranging between ranging between 0.71 to 0.84. Differential Item Functioning analysis indicated no gender-specific variations. Discussion: The validated Arabic eHLQ is a reliable tool that can help in supporting the development of tailored interventions to improve healthcare delivery in Arabic-speaking regions
Arabic · Data science · Developmental psychology · eHealth · Health care · Health literacy · Linguistics · Political science · Rasch model · Computer Science · Health Education and Validation · Health Literacy and Information Accessibility · Medicine · Mobile Health and mHealth Applications · Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |