Background: Skin grafting reflects a common dermatological procedure for closing skin defects. Patient education is important for managing expectation and optimising skin graft take. While health information is increasingly accessed on the internet, there are no existing studies assessing their quality.
Methods: The first 25 results from Google, Microsoft Bing and Yahoo! search engines using the term 'skin graft' were analysed using a variety of standard instruments. Readability was assessed using the Flesch-Kincaid Grade score (FKG), Gunning Fog Index (GFI), Simple Measure of Gobbledygook (SMOG) and the New Dale-Chall Readability Index (NDC). Reliability was assessed using the DISCERN instrument and credibility with the Journal of the American Medical Association Benchmark Criteria (JAMA). Transparency was identified by presence of the Health On the Net Foundation Code certification (HON-code).
Results: Seventy-five websites were identified. After exclusion, forty-three remaining websites were analysed with average FKG, GFI and SMOG scores of 7.8, 10.1 and 10.7, respectively. The average NDC was 5.9. The average reliability was fair with a DISCERN score based on the first 15 questions of the instrument of 42.6. The mean JAMA score was 2, and 9 websites displayed the HON-code certificate.
Conclusions: Readability, reliability and credibility of online health information regarding skin grafting can be improved. Health care providers should critically assess existing online patient information or develop alternative material to educate patients undergoing skin graft surgery.
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http://dx.doi.org/10.1111/ajd.13953 | DOI Listing |
Rheumatology (Oxford)
January 2025
Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.
Objectives: To facilitate earlier diagnosis of autoimmune rheumatic diseases (ARDs), we aimed to 1) develop START, a novel multimedia-based symptom appraisal tool for ARDs and 2) pilot test START among established ARD cases and non-ARD controls.
Methods: We developed START using a social cognitive theory-based theoretical framework and consensus-based lists of ARDs and manifestations from our previous work. START was revised through reviews by an expert panel of rheumatologists and cognitive debriefing interviews (CDIs) with patients newly referred for assessment of ARDs.
Sensors (Basel)
January 2025
Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
In recent years, advancements in the interaction and collaboration between humans and have garnered significant attention. Social intelligence plays a crucial role in facilitating natural interactions and seamless communication between humans and Artificial Intelligence (AI). To assess AI's ability to understand human interactions and the components necessary for such comprehension, datasets like Social-IQ have been developed.
View Article and Find Full Text PDFPLoS One
January 2025
Substitutive Dental Sciences Department (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.
Background: This study aimed to investigate the quality and readability of online English health information about dental sensitivity and how patients evaluate and utilize these web-based information.
Methods: The credibility and readability of health information was obtained from three search engines. We conducted searches in "incognito" mode to reduce the possibility of biases.
Dent Traumatol
January 2025
Department of Pediatric Dentistry, Dentistry Faculty, Bolu Abant İzzet Baysal University, Bolu, Turkey.
Background/aim: The use of AI-driven chatbots for accessing medical information is increasingly popular among educators and students. This study aims to assess two different ChatGPT models-ChatGPT 3.5 and ChatGPT 4.
View Article and Find Full Text PDFNurs Rep
January 2025
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Giuseppe Campi Street, 41125 Modena, Italy.
: Team-based learning is an educational strategy that promotes active learning and student engagement through structured team activities. It contrasts with traditional teaching models by emphasizing student preparation and collaboration. The TBL-SAI is a reliable and valid instrument designed to evaluate students' attitudes towards TBL, assessing dimensions such as accountability, preference for lecture or team-based learning, and satisfaction with TBL.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!