Accepted for/Published in: JMIR Infodemiology
Date Submitted: Dec 23, 2024
Date Accepted: Sep 16, 2025
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Review of the Quality and Reliability of Online Arabic Content on Diabetic Retinopathy: An Infodemiological Study
ABSTRACT
Background:
Diabetic retinopathy (DR) is a leading cause of vision loss, particularly in the Middle East. With the rise of online health information, many patients turn to the internet for knowledge about health conditions. However, the accuracy and quality of this information can be questionable, particularly in languages other than English.
Objective:
We sought to evaluate the quality and reliability of Arabic websites on DR to address this knowledge gap and improve patient care.
Methods:
The first 100 Arabic search results for DR were examined on Google.com, focusing on patient education websites in Arabic. Content was assessed using a 20-question model, quality was evaluated with the Discern instrument, and reliability was measured by the JAMA benchmark. Two independent raters conducted evaluations, and data were analyzed with SPSS. Descriptive statistics were used for website characteristics, and the first ten Google webpages were compared to others using bivariate analysis with a significance level of p<0.05.
Results:
A Google search yielded 178,000 websites; the first 100 were examined, with 29 meeting inclusion criteria. Most were hospital or medical center sites (n = 20, 69%). The DISCERN assessment showed a low mean score of 36.59 ± 9.32 out of 80 points, with most rated "poor" or "very poor." The JAMA benchmarks indicated low reliability, with 62% failing to meet any criteria.
Conclusions:
This study identified significant failings in the content, quality, and reliability of Arabic websites on diabetic retinopathy, highlighting the need for stronger evidence-based online resources focused on early disease prevention.
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