Background: The world is experiencing a pandemic caused by COVID-19. Insufficient physical activity can increase the risk of illness. Trying to replicate a normal search that any user/patient could do in YouTube, the objective of this study was to evaluate the quality of YouTube videos related to home exercises during lockdown and their adherence to World Health Organization (WHO) recommendations. Methods: A simple search was carried out on YouTube. The first 150 videos were selected. After applying exclusion criteria, 68 videos were analyzed and evaluated. Two statistical analyses based on machine learning techniques were carried out. Videos were classified according to principal component analysis (PCA) models as ‘Relevant’ and ‘Non-Relevant’. Popularity was assessed using the video power index (VPI). Information’s quality and accuracy were gauged using the DISCERN scale and global quality score (GQS). Reliability and credibility of information that can be found on health-related websites was assessed using the Health On the Net Code (HONCode). Exercises were evaluated according to WHO recommendations. Results: DISCERN, HONCode, and GQS scored a mean of 2.29, 58.95, and 2.32, respectively. The PCA calculation allowed videos to auto-classify into high- and low-quality videos. Conclusions: The quality of YouTube videos recommending exercises during lockdown is low and doesn’t reflect WHO recommendations. Effective strategies and tools capable of indicating the quality of this information are needed to filter out erroneous or non-rigorous information that may affect people’s health. These tools should help any user/viewer to distinguish videos of high and low quality.

Background: The prolonged immobilization suggested after breast cancer (BC) surgery causes morbidity. Patients search the Internet, especially social networks, for recommended exercises. Objective: The aim of this observational study was to assess the quality of YouTube videos, accessible for any patient, about exercises after BC surgery. Methods: A systematic search was performed on YouTube. One hundred and fifty videos were selected and analyzed. Two statistical analyses were conducted based on machine-learning techniques. Videos were classified as “Relevant” and “Non-Relevant” using principal component analysis models. Popularity was evaluated by Video Power Index (VPI), informational quality and accuracy were measured using the DISCERN Scale and Global Quality Scale (GQS). Scoring criteria for exercises were established according to the exercises recommended by the Oncology Section of the American Physical Therapy Association (APTA). Interobserver agreement and individual correlations were statistically examined. Results: DISCERN scored a mean of 50.97 (standard deviation [SD] 19.19). HONcode scored 78.30 (11.02) and GQS scored 3.49 (0.74). Average number of views was 53,963 (SD 67,376), mean duration was 9:42 min (9:15), mean days online was 2,158 (922), mean view ratio was 27.14 (30.24), mean likes was 245 (320.5), mean dislikes was 13.4 (14.2), and mean VPI was 93.48 (5.42). Conclusion: The quality of YouTube videos of recommended exercises post-BC surgery is high and can be a translational activity to improve patients’ behavior. Health institutions and NGOs, with higher popularity levels than academic institutions, should consider this information when implementing new policies focused on video quality which can contribute to adaptive behavior in patients.

Objective: The objective of this study is to analyze conservative treatments implemented to manage positional plagiocephaly in infants. Methods: This is a systematic review conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, performed in the Medline (PubMed), Scopus, Web of Science, and Cochrane databases. Articles were selected according to the eligibility criteria, regarding the effectiveness of conservative treatments in positional plagiocephaly in infants, published in the last 10 years with a score ≥3 in the PEDro Scale. Results: A total of 318 articles were identified and 9 of them were finally selected. Conclusions: Physical therapy treatment is considered as the first line of intervention in plagiocephaly with non-synostotic asymmetries and manual therapy is the method that obtains the best results within this intervention. In cases of moderate or severe plagiocephaly, helmet therapy can be an effective second-line intervention; however, the best way to prevent this condition is through counseling of parents or caregivers, and early treatment is essential for optimal therapeutic outcomes. The review was registered in PROSPERO (CDR42022306466).

Background: Prostate cancer (PC) is a major cause of disease and mortality among men. Surgical treatment involving the removal of the prostate may result in temporary or permanent erectile dysfunction (ED) and urinary incontinence (UI), with considerable impact on quality of life. Pelvic floor muscle training (PFMT) is one of the recommended techniques for the prevention, treatment, and rehabilitation of postoperative complications. The aim of this observational study was to assess the quality of YouTube videos—accessible to any patient—related to exercises after prostatectomy surgery. Methods: A systematic search was performed on YouTube on 24 September 2020. One hundred and fifty videos were selected and analyzed. Two statistical analyses were conducted based on machine-learning techniques, and videos were classified as ‘Relevant’ or ‘Non-Relevant’ using Principal Component Analysis (PCA) models. Two reviewers conducted independent analyses. Inter-observer agreement and individual correlations of video data were evaluated with the Intraclass Correlation Coefficient (ICC). Information quality, reliability, and accuracy were measured using the DISCERN Scale and Global Quality Score (GQS), while video popularity was evaluated using the Video Power Index (VPI). Results: DISCERN scored a mean of 3.35 and GQS scored 3.38. Average number of views was 124,354, mean duration was 14:42 min, mean days online was 1777, mean view ratio was 138.30, mean Likes was 1082, mean Dislikes was 68.58, and mean VPI was 92.28. Conclusions: The quality of the videos available on YouTube regarding the recommended pelvic floor exercises in PC surgery, according to the scores obtained, is High. Educational and health institutions, health professionals, government health authorities, and policy makers need to be involved in the proper development of policies to improve the information available on the web in order to have a positive impact on the healthy behavior of the population.

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.

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