Evaluating the Effect of Video Source and Other Video Characteristics on the Quality, Reliability, Actionability, and Understandability of Videos on Acromioclavicular Joint Repair.

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Tác giả: Justin D Abes, Abdullah B Chandasir, Noora S Chandasir, Mitchell J Lomis, Brett D Owens, Stephen A Parada, Akshar Patel, Justin T Skariah

Ngôn ngữ: eng

Ký hiệu phân loại: 621.388337 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting

Thông tin xuất bản: United States : Cureus , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 683898

 PURPOSE: This study aims to evaluate video quality, reliability, actionability, and understandability differences based on length, popularity, and source credentials (physician versus non-physician). The hypothesis suggests that current videos are of low quality and limited usefulness to patients, highlighting significant disparities based on the credentials of the video source. METHODS: The phrase "acromioclavicular joint separation" was searched on YouTube. The first 100 videos that populated were selected. Of those 100, 45 were excluded based on pre-existing criteria. Two reviewers watched and graded the included videos using four established, additive algorithmic grading scales. Grades for all included videos were analyzed using R software version 4.2.3. RESULTS: The mean Journal of the American Medical Association (JAMA) score was 2.32 (standard deviation (SD) = 0.74), with patient-made videos having a significantly lower reliability score (p = 0.008). The mean Patient Education Materials Assessment Tool (PEMAT) understandability and actionability scores were 59.78% (SD = 15.28%) and 67.55% (SD = 15.28%) respectively. PEMAT actionability scores were positively correlated to views (p = 0.002). The average DISCERN score was 2.51 (SD = 0.70)
  longer videos were correlated with higher DISCERN scores (p = 0.047). CONCLUSION: Analysis indicated that there were significant differences in reliability and understandability between video source types. Additionally, there was no correlation between quality and/or reliability and views, indicating that the YouTube algorithm is not an effective indicator of the quality of videos.
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