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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.
RESUMO
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.
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Sexual health is crucial for overall well-being, and dyspareunia (genito-pelvic pain/penetration disorder) is a common sexual disorder that can be addressed through multimodal physiotherapy approaches, including education. However, it's unclear whether socioeconomic factors influence the effectiveness of educational therapies for dyspareunia. The dataset presented in this article was used in a pilot randomized controlled trial that aimed to investigate any potential correlation between socioeconomic status and the outcomes of a therapeutic educational program for dyspareunia, evaluating the impact of a therapeutic educational program on 69 women. The data measured pain intensity, pain-related outcomes, and sexual functioning over time. In February 2022, socioeconomic status measurements (age, educational level, household monthly income, and job rank) were collected. The analysis used Pearson's correlation index and Spearman's rho statistic to assess any correlations between these variables. The results of the correlation analysis indicated that there was no significant correlation between any of the outcomes of the intervention and the socioeconomic status measurements. The data analysis findings suggest that a therapeutic educational program can effectively improve pain intensity, pain-related outcomes, and sexual functioning in patients with persistent pelvic pain, regardless of their socioeconomic status. These findings have policy implications, as they suggest that education is a powerful tool that can improve sexuality outcomes for patients with dyspareunia, regardless of their socioeconomic background. The dataset contains the collected raw data, including partial participant demographics data and scores categorized by question group, as well as scores for each participant at each time point (before and after the intervention). This dataset can be used to further analyze the results and the study can be potentially replicated.
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The dataset presented in this article was used in a pilot randomized and controlled trial that evaluated the effectiveness of manual physical therapy (MPT) compared to conventional pharmacologic treatment (CPT) for treating chronic pediatric functional constipation (CPC). The pilot trial was carried out at the Central University Hospital of Asturias in Oviedo, Spain, with 47 children between 2 and 12 years old being evaluated by a Pediatric Gastroenterologist. Participants received 9 sessions of MPT which were spaced out weekly for the first two months and bi-weekly for the third month. The Pediatric Quality of Life questionnaire (PedsQLTM) scores were assessed at the start of the trial (Time 1), its end (Time 2), and 5 years later (Time 3). The dataset contains the collected raw data, including participant demographics data and PedsQLTM scores categorized by question group, as well as total scores for each participant at each time point. This dataset can be used to further analyze the results and the study can be potentially replicated.