Youtube videos as an information source about urinary incontinence

A systematic review assessing the reliability of studies focusing on urological content on YouTube

INTRODUCTION

In recent years, several publications have focused on analyzing the quality of medical content on YouTube. The current systematic review aimed to summarize and analyze the available studies examining YouTube video content in the urological field.

EVIDENCE ACQUISITION

This is a systematic review including studies examining urological content uploaded on the YouTube platform published before November 2023. The following keywords were combined to capture relevant publications with a title/abstract search: ("Urology" OR "Andrology") AND ("YouTube" OR "Social media").

EVIDENCE SYNTHESIS

According to the inclusion criteria, 84 studies were included. Of all, 74 (88%) studies were published after the COVID-19 pandemic outbreak. A total of 52 (62%) studies used the DISCERN score, 29 (35%) the PEMAT A/V score, 30 (36%) the GQS, 23 (27%) the Misinformation score, 14 (17%) the Likert scale, and 13 (15%) the JAMA score. According to the conclusion, 62 (74%) studies reported poor quality results. Among all, only 10 (12%) studies respected our criteria of best quality methodology, defined as: 1) description of the research time frame; 2) use of incognito status; 3) the description of the inter-rater variability between reviewers; 4) use of at least one quality assessment tool.

CONCLUSIONS

The systematic review highlights significant variability in results and methodologies across studies on the quality analysis of urological content on YouTube. The official urological community should establish guidelines for authors, aiming to enhance the reliability and importance of such publications as valuable resources for daily clinical practice.

Exploring the Efficacy of Artificial Intelligence: A Comprehensive Analysis of CHAT-GPT's Accuracy and Completeness in Addressing Urinary Incontinence Queries

BACKGROUND

Artificial intelligence models are increasingly gaining popularity among patients and healthcare professionals. While it is impossible to restrict patient's access to different sources of information on the Internet, healthcare professional needs to be aware of the content-quality available across different platforms.

OBJECTIVE

To investigate the accuracy and completeness of Chat Generative Pretrained Transformer (ChatGPT) in addressing frequently asked questions related to the management and treatment of female urinary incontinence (UI), compared to recommendations from guidelines.

METHODS

This is a cross-sectional study. Two researchers developed 14 frequently asked questions related to UI. Then, they were inserted into the ChatGPT platform on September 16, 2023. The accuracy (scores from 1 to 5) and completeness (score from 1 to 3) of ChatGPT's answers were assessed individually by two experienced researchers in the Women's Health field, following the recommendations proposed by the guidelines for UI.

RESULTS

Most of the answers were classified as "more correct than incorrect" (n = 6), followed by "incorrect information than correct" (n = 3), "approximately equal correct and incorrect" (n = 2), "near all correct" (n = 2, and "correct" (n = 1). Regarding the appropriateness, most of the answers were classified as adequate, as they provided the minimum information expected to be classified as correct.

CONCLUSION

These results showed an inconsistency when evaluating the accuracy of answers generated by ChatGPT compared by scientific guidelines. Almost all the answers did not bring the complete content expected or reported in previous guidelines, which highlights to healthcare professionals and scientific community a concern about using artificial intelligence in patient counseling.

Hernia mesh and social media: misinformation, legal solicitation, and conflict of interest

BACKGROUND

Patients often utilize social media platforms as a resource for medical information. Lately, hernia mesh has been surrounded by controversy due to highly publicized mesh recalls. We aimed to assess the rates of misinformation, legal solicitation, and conflict of interest of hernia mesh information on Facebook and YouTube.

METHODS

We conducted a cross-sectional study of Facebook posts and YouTube videos using the search term "hernia mesh." The first 150 public Facebook posts and YouTube videos were initially selected, in addition to the first 30 posts of public Facebook groups. Video/post characteristics and the presence of misinformation, legal solicitation, and conflict of interest were independently recorded by three trained raters. Fleiss' kappa coefficient (ĸ) was calculated to determine Inter-rater agreement.

RESULTS

A total of 129 Facebook posts and 108 YouTube videos were analyzed. 29% of posts/videos were uploaded by a law firm and 24% were uploaded by medical professionals. The raters indicated that an average of 11% posts/videos contained misinformation, 17% involved legal solicitation, and 21% included conflicts of interest. Inter-rater agreement was fair for misinformation (ĸ = 0.380-0.382), substantial/almost perfect for legal solicitation (ĸ = 0.780-0.876), and moderate for conflict of interest (ĸ = 0.448-0.505).

CONCLUSIONS

With regard to hernia mesh, misinformation, legal solicitation, and conflict of interest are somewhat common on popular social media platforms. Trained raters had a high level of agreement on legal solicitation but limited agreement on misinformation. Our findings suggest that recognizing misinformation on social media regarding hernia mesh is difficult.

Rabies in Social Media Videos: Comparison of Instagram and YouTube

OBJECTIVE

This study aims to elucidate the informational content related to post-exposure patient education for this disease, emphasizing the significance of social media platforms as sources of information. The goal is to uncover and compare the information available on various social media platforms.

METHODOLOGY

Searches were conducted on Instagram and YouTube using the search terms "Rabies," "Rabies disease," and "Rabies vaccine." A total of 274 videos were examined, with 150 from YouTube and 124 from Instagram. The content of the videos was assessed based on 10 criteria determined by researchers according to the National Rabies Prophylaxis Guidelines, and a scoring system was applied.

RESULTS

Instagram videos had more exclusion criteria. When examined based on uploader characteristics, the number of healthcare professionals on Instagram was higher than on YouTube. For questions related to "What is rabies," "What are the symptoms in animals," and "How should pre-exposure prophylaxis be," Instagram videos received higher scores. Videos uploaded by healthcare professionals received higher scores in questions related to "What is rabies," "How does it spread to humans," "How should wound care be," "Pre-exposure prophylaxis," "Post-exposure prophylaxis," and total score compared to videos uploaded by other independent users.

CONCLUSION

A significant portion of the videos uploaded by various users on social media about rabies were found to be unrelated and lacking in informative content. It was observed that videos on Instagram were more informative compared to YouTube. Health professionals were found to provide more informative and directive content in videos related to rabies.

Evaluation of Videos Related to Vaginal Cone Usage on YouTube as an Online Information Source

INTRODUCTION AND HYPOTHESIS

The aim of this study is to examine the quality and content characteristics of educational videos on the use of vaginal cones published on YouTube.

METHODS

Video searches were conducted on the YouTube website using the keyword "usage of vaginal cones". A total of 52 videos were included in the current study. Modified DISCERN (mDISCERN) and Journal of the American Medical Association (JAMA) scales were used to evaluate the reliability of the videos, and the Global Quality Scale (GQS) was used for quality and usefulness.

RESULTS

As a result of the content analysis conducted, it was observed that 29 videos were classified as having "poor content" and 23 as "rich content." When we examined the sources of the videos (n = 52), it was found that the majority (58%, n = 30) were produced by nonhealth care sources (medical companies and nonhealth professionals). With statistical significance in mDISCERN and GQS (p = 0.014, p = 0.036), physiotherapists were found to have the highest average scores (4.11 ± 1.05, 3.44 ± 0.73) whereas doctors ranked second in the average standard deviation (3.09 ± 1.04, 2.82 ± 0.98). In JAMA, medical companies were found to have the highest average score with statistical significance (p = 0.015) at 3.4 ± 0.74, followed by doctors at 3 ± 1, and physiotherapists at 2.89 ± 0.78 when averages were analyzed.

CONCLUSION

It is clearly evident that there is a need for higher quality and more reliable vaginal cone content database on YouTube. It is important for patients to be guided by health care professionals and informed about quality content criteria in order to access quality, reliable, and useful information.

Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube

BACKGROUND

Studies confirm that significant biases exist in online recommendation platforms, exacerbating pre-existing disparities and leading to less-than-optimal outcomes for underrepresented demographics. We study issues of bias in inclusion and representativeness in the context of healthcare information disseminated via videos on the YouTube social media platform, a widely used online channel for multi-media rich information. With one in three US adults using the Internet to learn about a health concern, it is critical to assess inclusivity and representativeness regarding how health information is disseminated by digital platforms such as YouTube.

METHODS

Leveraging methods from fair machine learning (ML), natural language processing and voice and facial recognition methods, we examine inclusivity and representativeness of video content presenters using a large corpus of videos and their metadata on a chronic condition (diabetes) extracted from the YouTube platform. Regression models are used to determine whether presenter demographics impact video popularity, measured by the video's average daily view count. A video that generates a higher view count is considered to be more popular.

RESULTS

The voice and facial recognition methods predicted the gender and race of the presenter with reasonable success. Gender is predicted through voice recognition (accuracy = 78%, AUC = 76%), while the gender and race predictions use facial recognition (accuracy = 93%, AUC = 92% and accuracy = 82%, AUC = 80%, respectively). The gender of the presenter is more significant for video views only when the face of the presenter is not visible while videos with male presenters with no face visibility have a positive relationship with view counts. Furthermore, videos with white and male presenters have a positive influence on view counts while videos with female and non - white group have high view counts.

CONCLUSION

Presenters' demographics do have an influence on average daily view count of videos viewed on social media platforms as shown by advanced voice and facial recognition algorithms used for assessing inclusion and representativeness of the video content. Future research can explore short videos and those at the channel level because popularity of the channel name and the number of videos associated with that channel do have an influence on view counts.

AI-Enhanced evaluation of YouTube content on post-surgical incontinence following pelvic cancer treatment

Background

Several pelvic area cancers exhibit high incidence rates, and their surgical treatment can result in adverse effects such as urinary and fecal incontinence, significantly impacting patients' quality of life. Post-surgery incontinence is a significant concern, with prevalence rates ranging from 25 to 45% for urinary incontinence and 9-68% for fecal incontinence. Cancer survivors are increasingly turning to YouTube as a platform to connect with others, yet caution is warranted as misinformation is prevalent.

Objective

This study aims to evaluate the information quality in YouTube videos about post-surgical incontinence after pelvic area cancer surgery.

Methods

A YouTube search for "Incontinence after cancer surgery" yielded 108 videos, which were subsequently analyzed. To evaluate these videos, several quality assessment tools were utilized, including DISCERN, GQS, JAMA, PEMAT, and MQ-VET. Statistical analyses, such as descriptive statistics and intercorrelation tests, were employed to assess various video attributes, including characteristics, popularity, educational value, quality, and reliability. Also, artificial intelligence techniques like PCA, t-SNE, and UMAP were used for data analysis. HeatMap and Hierarchical Clustering Dendrogram techniques validated the Machine Learning results.

Results

The quality scales presented a high level of correlation one with each other (p < 0.01) and the Artificial Intelligence-based techniques presented clear clustering representations of the dataset samples, which were reinforced by the Heat Map and Hierarchical Clustering Dendrogram.

Conclusions

YouTube videos on "Incontinence after Cancer Surgery" present a "High" quality across multiple scales. The use of AI tools, like PCA, t-SNE, and UMAP, is highlighted for clustering large health datasets, improving data visualization, pattern recognition, and complex healthcare analysis.

Assessing the Quality of YouTube's Incontinence Information after Cancer Surgery: An Innovative Graphical Analysis

BACKGROUND

Prostate and colorectum cancers rank among the most common cancers, and incontinence is a significant postsurgical issue affecting the physical and psychological well-being of cancer survivors. Social media, particularly YouTube, has emerged as a vital source of health information. While YouTube offers valuable content, users must exercise caution due to potential misinformation.

OBJECTIVE

This study aims to assess the quality of publicly available YouTube videos related to incontinence after pelvic cancer surgery.

METHODS

A search on YouTube related to "Incontinence after cancer surgery" was performed, and 108 videos were analyzed. Multiple quality assessment tools (DISCERN, GQS, JAMA, PEMAT, and MQ-VET) and statistical analyses (descriptive statistics and intercorrelation tests) were used to evaluate the characteristics and popularity, educational value, quality, and reliability of these videos, relying on novel graphical representation techniques such as Sankey and Chord diagrams.

RESULTS

Strong positive correlations were found among quality rating scales, emphasizing agreement. The performed graphical analysis reinforced the reliability and validity of quality assessments.

CONCLUSIONS

This study found strong correlations among five quality scales, suggesting their effectiveness in assessing health information quality. The evaluation of YouTube videos consistently revealed "high" quality content. Considering the source is mandatory when assessing quality, healthcare and academic institutions are reliable sources. Caution is advised with ad-containing videos. Future research should focus on policy improvements and tools to aid patients in finding high-quality health content.

Female urinary incontinence on TikTok and YouTube: is online video content sufficient?

INTRODUCTION AND HYPOTHESIS

The objective of the study is to evaluate the reliability and quality of the most-viewed female urinary incontinence-related TikTok and YouTube posts. Our second goal is to analyze the differences in the quality and content of videos between these platforms.

METHODS

We searched for the keyword "female urinary incontinence" on TikTok and YouTube on 1 March 2023. We sorted the videos that appeared out of searches for this keyword by "top" results on TikTok and by "relevance" on YouTube. We excluded the videos that were not in English, whose narrator was unclear, unrelated videos, advertising videos, and duplicate videos. In this study, we included the top 50 videos on both platforms that were directly related to female urinary incontinence. The characteristics of the videos, such as likes, video duration, views, and type of narrator (patient, physician, nonphysician practitioner, and health care company), and DISCERN scores were analyzed.

RESULTS

We observed that the median view count (p<0.001) and the median video duration (p<0.001) were higher and longer respectively on YouTube than on TikTok. In addition, the median DISCERN score of these videos was higher on YouTube than on TikTok (p<0.001). Similarly, the overall quality of videos was higher on YouTube than on TikTok (p=0.002). Only in two TikTok and two YouTube videos have the narrators cited a reference.

CONCLUSIONS

Our findings emphasize the present lack of high-quality content available on TikTok and YouTube from both health care and nonhealth care experts. To address this lack of information, health care providers, especially urologists, should take an active role in creating video content.

Evaluating YouTube Videos on Facelift Surgery for Facial Rejuvenation as a Resource for Patients

OBJECTIVES

This study evaluated the content and patient educational quality of YouTube videos on facelift surgery for facial rejuvenation. This study investigated the relationship between education quality compared to video content, video metrics, and popularity.

METHODS

Two hundred videos were identified across 4 search terms: "facelift surgery," "facelift surgery what to expect," "facelift surgery patient education," and "what is facelift surgery." Unrelated videos, operating room recordings, medical professional lectures, non-English, non-audio, and testimonials were excluded from review. Video quality was assessed using the Global Quality Score (GQS) (range: 1-5), modified DISCERN score (range: 5-25), and JAMA Benchmark Criteria (range: 0-4). Secondary outcomes included upload source, video metrics (views, likes, dislikes, duration, days since upload, comments), and Video Power Indexto measure popularity. The first 10 comments on videos were characterized as positive, neutral, or negative.

RESULTS

One hundred forty-three videos were excluded (43 did not meet criteria, 100 duplicates), and 57 videos were included. Fifty-five videos (96.5%) were uploaded by private medical practices. Overall video quality was poor across all 3 scoring systems: GQS (2.92 ± 1.14), modified DISCERN (13.03 ± 3.64), and JAMA Benchmark Criteria (1.78 ± 0.52). Popularity positively correlated with JAMA Benchmark Criteria (R = .49, P < .05) but did not correlate with other quality criteria.

CONCLUSIONS

For patients undergoing facelift surgery, there are limited educational videos on YouTube with few videos detailing indications, alternatives, complications, and the postoperative course. YouTube is a growing resource for patient education and opportunities exist for medical institutions to produce higher-quality videos for prospective patients.

Content and quality of YouTube regarding women's health: a scoping review

PURPOSE

This scoping review investigated the content and quality of YouTube videos on women's health.

METHODS

A literature search of the Cochrane Library, PubMed, Embase, CINAHL, ERIC, and RISS databases was performed using the keywords "('youtube'/exp OR youtube OR 'social media'/ exp OR 'social media' OR (('social'/exp OR social) AND ('media'/exp OR media))) AND ('female health care' OR (('female'/exp OR female) AND ('health'/exp OR health) AND ('care'/exp OR care)))" from February 21 to 27, 2023. Peer-reviewed analytic studies in English or Korean that focused on women's health using YouTube were included.

RESULTS

The review identified 21 articles that covered various themes related to women's health, such as breast cancer, urinary disease, sexual health, pelvic organ prolapse, the human papillomavirus vaccine, Papanikolaou smears, contraception, women's health information during the coronavirus disease 2019 pandemic, obstetric epidural anesthesia, and placenta accreta. However, the overall quality of the content was low, inaccurate, unreliable, and misleading.

CONCLUSION

This scoping review demonstrated that YouTube videos on women's health covered diverse topics, but the quality of the content needed improvement. More reliable and high-quality videos produced by academic institutes and healthcare professionals specializing in women's health are needed for social media to be usable as a reliable source of women's health information. The high number of views and shares received by the videos underscores the importance of providing accurate and reliable information on women's health.

Examining understandability, information quality, and presence of misinformation in popular YouTube videos on sleep compared to expert-led videos

The Internet is a common source of sleep information but may be subject to commercial bias and misinformation. We compared the understandability, information quality, and presence of misinformation of popular YouTube videos on sleep to videos with credible experts. We identified the most popular YouTube videos on sleep/insomnia and 5 videos from experts. Videos were assessed for understanding and clarity using validated instruments. Misinformation and commercial bias were identified by consensus of sleep medicine experts. The most popular videos received, on average, 8.2 (± 2.2) million views; the expert-led videos received, on average, 0.3 (± 0.2) million views. Commercial bias was identified in 66.7% of popular videos and 0% of expert videos (P < .012). The popular videos featured more misinformation than expert videos (P < .001). The popular videos about sleep/insomnia on YouTube featured misinformation and commercial bias. Future research may explore methods for disseminating evidence-based sleep information.

CITATION

Robbins R, Epstein LJ, Iyer JM, et al. Examining understandability, information quality, and presence of misinformation in popular YouTube videos on sleep compared to expert-led videos. J Clin Sleep Med. 2023;19(5):991-994.

The Evaluation of YouTube™ Videos Pertaining to Intraoperative Anaesthesia Awareness: A Reliability and Quality Analysis

Aim The objective of this study was to evaluate the reliability and quality of YouTube™ (Google, Inc., Mountain View, CA) videos pertaining to anaesthesia awareness. Methods We evaluated the most commonly viewed 100 videos pertaining to anaesthesia awareness. The YouTube™ videos' image type, qualification of the uploaders, video content, video length in minutes, upload time, time since upload, total view count, daily view count and comment and like counts were recorded. The quality of the YouTube™ videos was evaluated using the Global Quality Scale (GQS), and the reliability was determined using the modified DISCERN scale. Results Of all videos, 34 (34%) were uploaded directly by physicians, 16 (16%) by patients, 14 (14%) by health channels, 13 (13%) by TV shows and 23 (23%) by others. The mean video length was 11.48±11.96 minutes. The average DISCERN score was 4.47±0.58 in the professional and 3.28±0.65 in the non-professional video group (p<0.001). The mean GQS score was 4.47±0.52 in the professional and 3.35±0.67 in the non-professional video group (p<0.001). Conclusion The results of this study indicate that a significant portion of the YouTube™ videos pertaining to anaesthesia awareness were uploaded directly by physicians or by health channels. Physicians and professional health institutions should be promoted to provide accurate and more reliable videos to direct patients to the right solutions for their problems. YouTube™ videos should be subjected to supervision before they can be publicly viewed.

Accuracy of prostate cancer screening recommendations for high-risk populations on YouTube and TikTok

Objectives

This study aimed to evaluate content quality and racial/ethnic representation, particularly of high-risk cohorts, of prostate cancer screening videos on YouTube (YT) and TikTok (TK).

Materials and Methods

The top 50 videos populated for the search term 'prostate cancer screening' on YT and TK that met inclusion criteria were retrieved in a cache-cleared browser. Three reviewers analysed all videos using validated criteria for the quality of consumer health information (DISCERN and Patient Education Materials Assessment Tool [PEMAT]). High quality was defined as follows: DISCERN ≥ 4, PEMAT understandability ≥75% and PEMAT actionability ≥75%. A 5-point Likert scale was used to demonstrate the level of misinformation compared to American Urological Association and National Comprehensive Cancer Network guidelines. Perceived race and ethnicity of people in the videos were assessed by consensus approach.

Results

TK videos were shorter (median 3.7 vs. 0.5 min, p < 0.001) and had more views per month (5437.5 vs. 19.3, p = 0.03) than YT videos. Perceived Black and Hispanic representation was present in 10% and 6% of YT videos and 20% and 12% of TK videos, respectively. High-risk racial/ethnic groups were explicitly discussed in 46% of YT videos and 8% of TK videos. A total of 98% of YT videos and 100% of TK videos had low- to moderate-quality consumer health information, and 88% of YT videos and 100% of TK videos had moderate to high levels of misinformation based on screening guidelines.

Conclusions

YT and TK videos about prostate cancer screening are widely viewed but do not provide quality consumer health information. Black and Hispanic men remain under-represented on both platforms, and high-risk racial groups were not discussed in most videos despite the importance for screening criteria. The low understandability and actionability, significant misinformation and lack of diversity in online videos support the need for higher quality videos with adequate attention to high-risk ethnic cohorts.