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Journals / Van Tıp Dergisi / 2022 / Cilt: 29 - Sayı: 4

The Readability Level of Websites Regarding COVID- 19 Ocular Findings: An Internet-Based Analysis

COVID-19 Oküler Bulgulara İlişkin Web Sitelerinin Okunabilirlik Düzeyi: İnternet Tabanlı Analiz

Hamidu Hamisi Gobeka
Güllü Jabbarova
Aynur Er
Seray Yörükoğlu
Kudret Kurt
Murat Demirezen
Mustafa Doğan
Pages
381–385
Publication Date
2022-11-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Treatment adherence issues may arise as a result of website information written in a language that patients and their relatives find difficult to understand.

📌 3 Key Takeaways

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Objective & Hypothesis:Introduction: The purpose of this si ngle-centered internet- based study was to determine the readability of COVID-19- related ocular findings on Turkish websites.
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Key Findings & Data:Materials and Methods: The first 33 websites that appeared when searching Google for phrases like "Does coronavirus affect the eye," " Coronavirus eye findings," COVID-19-related ocular manifestations," and " Can coronavirus infect the eye " were evaluated using two main readability scores for Turkish texts developed by Ateşman and Bezirci-Yilmaz.
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Conclusion & Impact:Treatment adherence issues may arise as a result of website information written in a language that patients and their relatives find difficult to understand.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Introduction: The purpose of this si ngle-centered internet- based study was to determine the readability of COVID-19- related ocular findings on Turkish websites. Materials and Methods: The first 33 websites that appeared when searching Google for phrases like "Does coronavirus affect the eye," " Coronavirus eye findings," COVID-19-related ocular manifestations," and " Can coronavirus infect the eye " were evaluated using two main readability scores for Turkish texts developed by Ateşman and Bezirci-Yilmaz. Results: The average score on Ateşman's readability score was 47. Accordingly, websites providing information about COVİD- 19-related ocular findings were discovered to be readable by the 13th, 14 th, and 15th grade students. The same websites were found to be readable with an average of 14.7 points on the Bezirci-Yilmaz readability score, requiring 14-15 years of education. Conclusion: The readability of COVID-19-related ocular findings websites was dete rmined to be between 13th and 15th grade students. This level is relatively high when compared to the average education level. Treatment adherence issues may arise as a result of website information written in a language that patients and their relatives find difficult to understand.

Özet

Giriş: Bu tek merkezli internet tabanlı çalışmada, COVID-19 ile ilgili oküler bulguların Türkçe web sitele rinde okunabilirliğini belirlemeye amaçlanmıştır. Gereç ve Yöntem: Google'da " Koronavirüs gözü etkiler mi", "Koronavirüs göz bulguları", "COVID-19 ile ilgili oküler belirtiler" ve "Koronavirüs gözü enfekte eder mi " gibi ifadeler aran ırken ortaya çıkan ilk 33 web sitesi Türkçe metinler için Ateşman ve Bezirci- Yılmaz tarafından geliştirilen iki ana okunabilirlik skorlama sistemi ile değerlendirildi. Bulgular: Ateşman'ın okunabilirlik puanı ortalama 47 idi. Buna göre, COVİD-19 ile ilgili oküler bulgular hakkında bilgi veren web sitelerinin 13., 14. ve 15. sınıf ö ğrencileri tarafından okunabilir olduğu ortaya çıktı. Aynı web siteleri Bezirci-Yılmaz okunabilirlik puanında 14-15 yıl e ğitim gerektiren ortalama 14,7 puanla okunabilir bulunmuştur. Sonuç: COVID-19 ile ilgili oküler bulgular web sitelerinin okunabilirliğinin 13-15. s ınıf ö ğrencileri aras ında oldu ğu belirlenmiştir. Bu düzey, ortalama eğitim düzeyi ile karşılaştırıldığında nispeten yüksektir. Web sitesi bilgilerinin hasta ve hasta yak ınlarının anlamakta zorland ıkları bir dilde yazılması sonucunda tedaviye uyum sorunları ortaya çıkabilir.

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Cite This Article

Gobeka, H. H., Jabbarova, G., Er, A., Yörükoğlu, S., Kurt, K., Demirezen, M., Doğan, M. (2022). The Readability Level of Websites Regarding COVID- 19 Ocular Findings: An Internet-Based Analysis. Van Tıp Dergisi, Cilt: 29 - Sayı: 4, 381–385. https://ajindex.com/articles/655538

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References (14)

  1. Goldbort R. Readable writing by scientists and researchers. J Environ Health 2001;63(8):40-41
  2. Walsh TM, Volsko TA. Readability assessment of internet-based consumer health information. Respir Care 2008;53(10):1310-1315
  3. Kincaid, J. Peter; Fishburne, Robert P. Jr.; Rogers, Richard L.; and Chissom, Brad S., "Derivation Of New Readability Formulas (Automated Readability Index, Fog Count And Flesch Reading Ease Formula) For Navy Enlisted Personnel" (1975). Institute for Simulation and Training. 56.
  4. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395(10223):497-506
  5. Zhou L, Xu Z, Castiglione GM, Soiberman US, Eberhart CG, Duh EJ. ACE2 and TMPRSS2 are expressed on the human ocular surface, suggest ing susceptibility to SARS-CoV-2 infection. Ocul Surf 2020;18(4):537-544
  6. Wu P, Duan F, Luo C, Liu Q, Qu X, Liang L, et al. Characteristics of Ocular Findings of Patients With Coronavirus Disease 2019 (COVID-19) in Hubei Province, China. JAMA Ophthalmol 2020;138(5):575-578
  7. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med 2020;382(18):1708- 1720
  8. Hong N, Yu W, Xia J, Shen Y, Yap M, Han W. Evaluation of ocular symptoms and tropism of SARS-CoV-2 in patients confirmed with COVID-19. Acta Ophthalmol 2020;98(5):e649-e655
  9. Ay İE, Alay D. Prospective Study: Frequency of Ophthalmic Findings, Relationship with Inflammation Markers, and Effect on Prognosis in Patients Treated in the COVID-19 Intensive Care Unit. Turk J Ophthalmol 2022;52(1):6-13
  10. Philipson SJ, Doyle MA, Gabram SG, Nightingale C, Philipson EH. Informed consent for research: a study to evaluate readability and processability to effect change. J Investig Med 1995;43(5):459-467
  11. Ateşman E. Türkçede Okunabilirliğin Ölçülmesi. Dil Dergisi 1997;58:71-74
  12. Bezirci B, Yılmaz A. A software library for measurement of readability of texts and a new readability metric for Turkish. DEÜ FMD 2010;12(3):49-62
  13. Flesch R. A new readability yardstick. J Appl Psychol 1948;32(3):221-233
  14. Al-Ajlan AA, Hend SA, AbdulMalik SA. Towards the development of an automatic readability measurements for Arabic language. In Proceedings of the 2008 Third International Conference on Digital Information Management, London, UK, 13–16 N