SavedAdd your journal

Journals / Experimental Biomedical Research / 2019 / Cilt: 2 - Sayı: 4

Evaluation of the readability of online texts related with autism spectrum disorder

Aziz KARA
Pages
136–142
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

Conclusion: As a result of this study, it was found that the data presented on the internet about ASD was far beyond the health literacy level of our people.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: There has been a rapid incline in the number of patients diagnosed with autism spectrum disorder (ASD), recently.
📊
Key Findings & Data:Hence 300 websites from the first ten generated pages after writing the keywords autism, atypical autism, and autism spectrum disorder on the search engine were analyzed.
💡
Conclusion & Impact:Conclusion: As a result of this study, it was found that the data presented on the internet about ASD was far beyond the health literacy level of our people.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Aim: There has been a rapid incline in the number of patients diagnosed with autism spectrum disorder (ASD), recently. The present study aims to analyze the content and readability of online Turkish texts, on Turkish websites related to autism spectrum disorder. Methods: In order to collect the necessary data of the present study, Google (http://www.google.com.tr), a commonly used internet search engine in our country, was used. Hence 300 websites from the first ten generated pages after writing the keywords autism, atypical autism, and autism spectrum disorder on the search engine were analyzed. Out of these 300 sites, sites containing only advertisement, videos, images and sites containing less than ten sentences, chat and forum sites, commercial sales sites and news sites that do not contain information about ASD were excluded. The mean number of syllables, the average number of words with four syllables and above, the average number of words and readability values were calculated according to Ateşman and Bezirci-Yılmaz. Results: The mean number of words in the analyzed texts was 14.42 ± 0.48, of words with four syllables and above was 4.52 ± 0.17, of syllables was 2.92 ± 0.01 and the readability value of the texts analyzed is according to Bezirci-Yılmaz was 14.68 ± 0, 52 and according to Ateşman it was 43.72 ± 1.45. The mean number of words among the study groups is (p = 0.538), the mean number of words with four and more syllables is (p = 0.548) and the mean number of syllables is (p = 0.652), Bezirci-Yılmaz readability value is (p = 0.772), Ateşman readability value is (p = 0.626) displaying no statistically significant difference. Conclusion: As a result of this study, it was found that the data presented on the internet about ASD was far beyond the health literacy level of our people.

🔖

Cite This Article

KARA, A. (2019). Evaluation of the readability of online texts related with autism spectrum disorder. Experimental Biomedical Research, Cilt: 2 - Sayı: 4, 136–142. https://ajindex.com/articles/160322

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Van Naarden Braun K, Pettygrove S, Daniels J, Miller L, Nicholas J, Baio J, et al. Evaluation of a methodology for a collaborative multiple source surveillance network for autism spectrum disorders- Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2002. Morbidity and mortality weekly report Surveillance summaries (Washington, DC: 2002). 2007; 56(1): 29-40
  2. Baio J. Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators; Centers for Disease Control and Prevention (CDC). Prevalence of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWR Surveill Summ. 2014; 63(2): 1-21
  3. Baio J, Wiggins L, Christensen DL, Maenner MJ, Daniels J, Warren Z, et al. Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014. Morbidity and mortality weekly report Surveillance summaries (Washington, DC: 2002). 2018; 67(6): 1-23
  4. Kollia B, Basch CH, Kamowski-Shakibai MT, Tsiamtsiouris J, Garcia P. Testing the Readability of Online Content on Autism Spectrum Disorders. Advances in Neurodevelopmental Disorders. 2019; 3(1): 85-90
  5. Boztaş N, Özbilgin Ş, Öçmen E, Altuntaş G, Özkardeşler S, Hancı V, et al. Evaluating the readibility of informed consent forms available before anaesthesia: a comparative study. Turk J Anaesthesiol Reanim. 2014; 42(3): 140-44
  6. Durusu Tanrıöver M, Yıldırım HH, Demiray Ready FN, Çakır B, Akalın HE. Sağlık Okuryazarlığı Araştırması
  7. Baskı. Ankara: Sağlık-Sen Yayınları; 2014. p.93
  8. Ateşman E. Measuring readability in Turkish. AU Tömer Language Journal. 1997; 58(2): 171-74
  9. 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
  10. Friedman DB, Hoffman-Goetz L. A systematic review of readability and comprehension instruments used for print and web-based cancer information. Health Educ Behav. 2006; 33(3): 352-73
  11. Yesilyurt M, Karadeniz O, Gulel F, Caglar A, Uyar S. Mean and expected years of schooling for provinces in Turkey. PJESS. 2016; 3(1): 1-7
  12. Flesch R. A new readability yardstick. J Appl Phycol. 1948;32(3):221-33
  13. Kozanhan B, Tutar MS. Readability of patient education texts presented on the internet in the field of anesthesiology. Turkiye Klinikleri J Anes