Objective: The objective of this study was to evaluate the quality of information on the internet about vaginal meshes available to the general population.
Study Design: The terms "vaginal sling," "sling vagina," "vaginal mesh," "mesh vagina," "vaginal tape," and "tape vagina" were used every time on three major search engines, and the first 10 websites retrieved by each search engine were selected and evaluated using the DISCERN questionnaire. The websites were divided into four categories based on the type of agency that created the website. These included websites created by private health institutions, non-private health institutions, and non-health institutions and websites for encyclopedias, libraries, articles and scientific papers. They were compared in terms of the reliability, information quality, and total DISCERN score.
Results: The survey yielded 98 different websites; after applying the exclusion criteria, 62 sites were selected. Websites for articles, magazines, libraries, and encyclopedias and those by non-private health services had significantly high scores for the reliability dimension of the DISCERN tool as compared to the other two website categories (p < 0.05). Regarding the quality of information, websites for non-specific health services and those for articles, magazines, libraries, and encyclopedias presented significantly lower scores as compared to the other two website categories. Websites for non-specific health services had significantly lower average total DISCERN points when compared to other website categories. The websites for private health services and those for articles, magazines, libraries, and encyclopedias had significantly lower DISCERN scores than the websites for non-private health services did.
Conclusion: Our findings showed that the quality of information regarding vaginal meshes on the first 10 websites on major search engines was moderate.
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http://dx.doi.org/10.1016/j.ejogrb.2021.07.055 | DOI Listing |
J Med Internet Res
December 2024
University Clinic for Interdisciplinary Orthopedic Pathways (UCOP), Elective Surgery Center, Silkeborg Regional Hospital, Silkeborg, Denmark.
Background: Access to clear and comprehensible health information is crucial for patient empowerment, leading to improved self-care, adherence to treatment plans, and overall health outcomes. Traditional methods of information delivery, such as written documents and oral communication, often result in poor memorization and comprehension. Recent innovations, such as animation videos, have shown promise in enhancing patient understanding, but comprehensive investigations into their effectiveness across various health care settings are lacking.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Guangzhou Cadre and Talent Health Management Center, Guangzhou, China.
Background: Large language models have shown remarkable efficacy in various medical research and clinical applications. However, their skills in medical image recognition and subsequent report generation or question answering (QA) remain limited.
Objective: We aim to finetune a multimodal, transformer-based model for generating medical reports from slit lamp images and develop a QA system using Llama2.
J Med Internet Res
December 2024
Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, Australia.
Background: Advanced technologies are becoming increasingly accessible in rehabilitation. Current research suggests technology can increase therapy dosage, provide multisensory feedback, and reduce manual handling for clinicians. While more high-quality evidence regarding the effectiveness of rehabilitation technologies is needed, understanding of how to effectively integrate technology into clinical practice is also limited.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Cancer Rehabilitation and Survivorship, Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.
Objective: This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.
PLoS One
January 2025
School of Economics & Management, Beijing Information Science & Technology University, Beijing, China.
E-commerce faces challenges such as content homogenization and high perceived risk among users. This paper aims to predict perceived risk in different contexts by analyzing review content and website information. Based on a dataset containing 262,752 online reviews, we employ the KeyBERT-TextCNN model to extract thematic features from the review content.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!