Evidence map›Paper›PMID 39991699›Full record

ArticleFrontiers in public health2025

Validation of the Arabic eHealth literacy questionnaire: a factor and Rasch analysis study.

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

Abstract readValidation Study
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Walid Al-QeremDepartment of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan.
Osama N FadhilDepartment of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan.
Anan JarabCollege of Pharmacy, Al Ain University, Abu Dhabi, United Arab Emirates.
Alaa HammadDepartment of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan.
Fawaz Al-AsmariDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Rahaf ZidanDepartment of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan.
Judith EberhardtDepartment of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ArabsHealth LiteracyTelemedicineAdolescentAdultAgedFactor Analysis, StatisticalFemaleHumansJordanMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung AdultConfirmatory Factor Analysiscultural contextseHealthhealth literacyRasch analysisvalidation

Identifiers

PMID39991699
PMCPMC11842305

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.