Content Quality and Audience Engagement Analysis of Online Videos for Anterior Lumbar Interbody Fusion.

OBJECTIVE: For the majority of patients, the Internet constitutes the first source of health information influencing their medical decision-making. We aimed to assess the quality of the online videos regarding anterior lumbar interbody fusion (ALIF). METHODS: YouTube database was searched using 3 different phrases: "anterior lumbar interbody fusion", "ALIF", and "ALIF surgery". The first 50 videos for each phrase were selected. Video content was evaluated by 3 independent researchers using the DISCERN instrument. Qualitative data, quantitative data, and the source of upload were analyzed. RESULTS: A total of 24 videos were included. The mean DISCERN score was 38.21, indicating the poor quality of ALIF videos on YouTube. Video duration was positively correlated with DISCERN score (r = 0.71, P < 0.001) but not with the video power index (VPI). A negative correlation between time since upload and DISCERN score (r = -0.8 P < 0.001) was found. Furthermore, videos containing surgical complications, risk factors, and postoperative prognosis had a significantly higher DISCERN score. Neither DISCERN score nor a VPI correlated with the presence of intraoperative recordings. Videos including the explanation of the spine anatomy had a significantly higher number of likes (P = 0.018). CONCLUSIONS: Despite the increasing educational value of ALIF videos over time, the overall quality of YouTube videos on ALIF remains poor. However, the majority of videos can be recommended to the patient as an informative source of basic knowledge on the surgical details of the ALIF procedure. Longer video duration increases its quality without simultaneous negative influence on its popularity.

YouTube as a patient-information source for hypothyroidism.

INTRODUCTION: Hypothyroidism is a very common disease that requires life-long treatment. In our study, we analyze the quality of the YouTube videos concerning hypothyroidism as a "source of health information" for the patients, and the (possible) correlation between video quality and video popularity. METHODS: We included 96 YouTube videos obtained by using the following search terms: "hypothyroidism", "Hashimoto's disease", "thyroid insufficiency", and "low thyroid hormone". We evaluated video quality by using the DISCERN criteria, and video popularity by using the Video Power Index. RESULTS: The mean DISCERN score for both raters was 1.995, indicating poor YouTube videos' quality. Sixty-eight videos achieved a high score in the video power index (VPI). The mean popularity score for videos with misleading information was higher than the mean score for all evaluated videos. CONCLUSIONS: The overall quality of YouTube videos regarding hypothyroidism was poor. Videos frequently lack the source of information presented. Besides, content is often incomplete, and sometimes includes misleading statements. Physicians dealing with hypothyroid patients should be aware of the possibility that information and instruction they give to patients could be "modulated" by the availability of both low quality and popular alternative "sources of medical knowledge".