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What Glaucoma Patients Are Reading on the Internet: A Systematic Analysis of Online Glaucoma Content
Jing Sasha Jia1, Aakriti Garg Shukla2, Daniel Lee2
1Glaucoma Service, Wills Eye Hospital, Philadelphia, Pennsylvania; Lewis Katz School of Medicine at Temple, Philadelphia, Pennsylvania.
Purpose:
To systematically assess the content, quality, accuracy, navigability, and readability of the highest ranked online information regarding glaucoma.
Design:
Internet-based, cross-sectional study.
Participants:
Not applicable.
Methods:
The top 15 Google websites that resulted from the search term "glaucoma" were independently evaluated by 3 glaucoma specialists for content, accuracy (1-4 scale), and navigability (1-3 scale) in March 2020. Content was evaluated by answers to 25 questions regarding information most relevant to glaucoma patients (0-2 scale). Readability (Flesch-Kincaid grade level) and quality (Quality Component Scoring System) were also analyzed.
Main Outcome Measures:
Overall content, accuracy, navigability, quality component scores, and reading grade level as described. Additional analyses included type of websites, presence and type of graphic content.
Results:
The mean (standard deviation) content score for all websites was 28 (7.6) of 50 possible points (range, 15-45). Inter-rater reliability for content score was good (0.619, 0.746, 0.872 for 3 pairwise comparisons between graders). Mean accuracy score was 9.8 (2.2) of 12 possible points (range, 5-12). Mean navigability score was 7.5 (1.4) of 9 possible points (range, 5-9). Mean reading grade level was 9.3 (1.7) with a range of 7-13 reading grades. Mean quality component score was 7.7 (2.6) of 13 possible points (range, 3-11). Six websites (40%) attempted to visually simulate glaucoma symptoms as tunnel vision (n = 5) and black spots (n = 1). Google rank did not correlate with any of the measures.
Conclusions:
The most readily accessible online information about glaucoma varies in content, quality, accuracy, navigability, and readability. This systematic analysis identifies potential areas of improvement.
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