Background: The internet has led to the realization that the world is a global village. Due to technological advancements, anyone can access the internet and various video sharing platforms and in turn, get access to or share information across the world. One of the most sought-after critical pieces of information on the internet, as well as social media platforms, is information regarding wounds.
Objective: To determine the views of patients with chronic wounds regarding the internet and other social media platforms as a source of information regarding wounds.
Methodology: A descriptive prospective study covering the period between November 1, 2022, and January 30, 2023. All patients with chronic wounds presenting in the plastic outpatient clinic, together with patients presenting themselves in the wound clinic at Kenyatta National Hospital (KNH) during this period, were informed about the study and asked to participate. After consenting, they were then required to sign an informed consent form after agreeing to participate. Data collection was done through interviews and filled out in structured questionnaires. Data points included demographics, information on internet use, and interaction with the various social media platforms.
Results: 83.4% of the participants were of the opinion that the contents shared were done so by professionals, compared to 12.5% who indicated that the owners or uploaders of the contents were laymen. 2.6% and 1.5%, on the other hand, opined that the owners or uploaders of the contents were unknown and difficult to tell, respectively.
Discussion: The participants in the current study felt that some aspects regarding content on wounds that is shared on the internet as well as other social media platforms would need further improvement. Such areas included information regarding wound dressing concepts, the etiology and pathophysiology of wounds, complications of wounds, and wound pain management.
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http://dx.doi.org/10.1016/j.jpra.2023.09.002 | DOI Listing |
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
PLoS One
January 2025
École de Bibliothéconomie et des Sciences de l'information, Université de Montréal, 3150 rue Jean-Brillant, Montréal, QC, Canada.
Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence.
View Article and Find Full Text PDFPLoS One
January 2025
Computational Media Lab, University of Texas at Austin, Austin, Texas, United States of America.
Instead of turning to emergency phone systems, social media platforms, such as Twitter, have emerged as alternative and sometimes preferred venues for members of the public in the US to communicate during hurricanes and other natural disasters. However, relevant posts are likely to be missed by responders given the volume of content on platforms. Previous work successfully identified relevant posts through machine-learned methods, but depended on human annotators.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!