Podrobná bibliografie
| Název: |
Evaluating the Educational Quality of YouTube™ Videos on Carbonhydrate. |
| Alternate Title: |
YouTube™'deki Karbonhidrat Konulu Videoların Eğitim Kalitesinin Değerlendirilmesi. (Turkish) |
| Autoři: |
OZTURK ALTUNCEVAHIR, Ilayda, ERSOY, Duygu |
| Zdroj: |
Balikesir Health Sciences Journal / Balıkesir Sağlık Bilimleri Dergisi; ara2025, Vol. 14 Issue 3, p704-710, 7p |
| Témata: |
TREATMENT of diabetes, SOCIAL media, HEALTH information services, CROSS-sectional method, DATA analysis, KRUSKAL-Wallis Test, JUDGMENT sampling, DESCRIPTIVE statistics, MANN Whitney U Test, INSULIN, EDUCATIONAL tests & measurements, STATISTICS, DIETITIANS, DIETARY carbohydrates, QUALITY assurance, DATA analysis software, VIDEO recording, RELIABILITY (Personality trait), MEDICINE information services, PSYCHOSOCIAL factors, EVALUATION |
| Abstract (English): |
Objective: This study aimed to assess the quality and reliability of YouTube™ videos about carbohydrate counting. Materials and Methods: The first 150 videos found using the keywords "carbohydrate counting," "carbohydrate counting for diabetes," and "carbohydrate counting for insulin" were screened between July 15 and August 15, 2024. After applying inclusion criteria, 85 English-language videos were included. Videos were excluded if they were irrelevant, duplicates, promotional, silent, poor quality, or in another language. Two dietitians evaluated independently the videos using DISCERN, VIQI, GQS, and JAMA scoring tools. Statistical analyses were conducted with SPSS 21.0. Results: The average video length was 10.55±14.54 minutes with 20.150±25.324 average views. Mean scores were 17.93±5.19 (DISCERN), 16.55±3.22 (VIQI), 3.65±1.18 (GQS), and 2.39±1.02 (JAMA). The video source (hospital, university/organization, or internet channel) did not significantly influence quality scores. However, video length was positively correlated with higher quality scores (e.g., DISCERN: r=0.452, p<0.001) and the number of likes also showed a positive link with some quality measures (e.g., DISCERN: r=0.350, p=0.001). Conclusion: Most YouTube™ videos on carbohydrate counting provide moderate educational value but often lack scientific accuracy, references, and transparency. These findings highlight the need for health professionals and organizations to actively produce reliable, evidence-based content to improve diabetes self-management and public access to trustworthy online information. [ABSTRACT FROM AUTHOR] |
| Abstract (Turkish): |
Amaç: Bu çalışma, YouTube™ platformunda yer alan karbonhidrat sayımı videolarının kalite ve güvenilirliğini değerlendirmeyi amaçlamıştır. Gereç ve Yöntem: 15 Temmuz–15 Ağustos 2024 tarihleri arasında "carbohydrate counting", "carbohydrate counting for diabetes" ve "carbohydrate counting for insulin" anahtar kelimeleri kullanılarak ilk 150 video taranmış, uygun bulunan 85 İngilizce video çalışma kapsamına alınmıştır. Konu dışı, yinelenen, tanıtım amaçlı, sessiz veya düşük kaliteli videolar hariç tutulmuştur. İki diyetisyen, videoları DISCERN, VIQI, GQS ve JAMA ölçekleriyle bağımsız olarak değerlendirmiştir. Verilerin analizi SPSS 21.0 programı kullanılarak yapılmıştır. Bulgular: Videoların ortalama süresi 10.55±14.54 dakika, ortalama izlenme sayısı ise 20150±25324’tür. Ortalama DISCERN skoru 17.93±5.19; VIQI 16.55±3.22; GQS 3.65±1.18 ve JAMA 2.39±1.02 olarak bulunmuştur. Video kaynağı kaliteyi anlamlı düzeyde etkilemezken, video süresi ve beğeni sayısı bazı kalite skorlarıyla pozitif ilişki göstermiştir. Sonuç: YouTube™ videoları karbonhidrat sayımı konusunda genelde orta düzeyde bilgi sağlamakta, ancak bilimsel doğruluk, kaynak kullanımı ve şeffaflık açısından yetersiz kalmaktadır. Bu durum, sağlık profesyonellerinin kanıta dayalı içerik üretiminde daha aktif rol almasının önemini göstermektedir. [ABSTRACT FROM AUTHOR] |
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Copyright of Balikesir Health Sciences Journal / Balıkesir Sağlık Bilimleri Dergisi is the property of Balikesir Health Sciences Journal (BAUN Health Sci J) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáze: |
Complementary Index |
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