Validation of the Arabic eHealth literacy questionnaire: a factor and Rasch analysis study: a Factor and Rasch Analysis Study

Walid Al-Qerem; Osama N. Fadhil; Anan Jarab; Alaa Hammad; Fawaz Alasmari; Rahaf Zidan; Judith Eberhardt

doi:10.3389/fpubh.2025.1542477

Validation of the Arabic eHealth literacy questionnaire: a factor and Rasch analysis study: a Factor and Rasch Analysis Study

Walid Al-Qerem, Osama N. Fadhil, Anan Jarab, Alaa Hammad, Fawaz Alasmari, Rahaf Zidan, Judith Eberhardt

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Abstract

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. Using a convenience sampling method, the study recruited a diverse sample of 657 participants from Jordan (58.9% females and 41.1% males). 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. 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.

Original language	English
Pages (from-to)	1-11
Number of pages	11
Journal	Frontiers in Public Health
Volume	13
DOIs	https://doi.org/10.3389/fpubh.2025.1542477
Publication status	Published - 7 Feb 2025

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title = "Validation of the Arabic eHealth literacy questionnaire: a factor and Rasch analysis study: a Factor and Rasch Analysis Study",

abstract = "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. Using a convenience sampling method, the study recruited a diverse sample of 657 participants from Jordan (58.9% females and 41.1% males). 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{\textquoteright}s α ranging between ranging between 0.71 to 0.84. Differential Item Functioning analysis indicated no gender-specific variations. 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.",

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AU - Al-Qerem, Walid

AU - Fadhil, Osama N.

AU - Jarab, Anan

AU - Hammad, Alaa

AU - Alasmari, Fawaz

AU - Zidan, Rahaf

AU - Eberhardt, Judith

PY - 2025/2/7

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N2 - 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. Using a convenience sampling method, the study recruited a diverse sample of 657 participants from Jordan (58.9% females and 41.1% males). 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. 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.

AB - 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. Using a convenience sampling method, the study recruited a diverse sample of 657 participants from Jordan (58.9% females and 41.1% males). 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. 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.

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Validation of the Arabic eHealth literacy questionnaire: a factor and Rasch analysis study: a Factor and Rasch Analysis Study

Abstract

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