Rheumatoid arthritis (RA), a chronic and systemic autoimmune disease that primarily attacks the joints around the body, is affecting a large number of people worldwide through severe symptoms and complications. Therefore, it is crucial to understand these patients' problems and support needs such that effective strategies or solutions can be made to improve their long-term treatment experience. In this paper, we present an in-depth study that is based on the structural topic model to uncover the themes and concerns in online RA posts from Reddit, an American social news aggregation, content rating, and discussion website. In addition, we compared the topic prevalence differences before and after the COVID-19 pandemic to understand the impact of the pandemic on these online users. This study demonstrates the potential of using text-mining techniques on social media data to learn the treatment experiments of RA patients.
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Front Psychol
December 2024
Faculty of Sociology and Communication, Transilvania University of Brasov, Brașov, Romania.
Introduction: With the significant increase in the number of social media users, the degree of cyberbullying has also increased in a directly proportional manner. Cyberbullying manifests itself in the commission of psychological abuses, teenagers being the most vulnerable.
Methods: The purpose of our paper was to analyze how the phenomenon of cyberbullying manifests in terms of frequency on social media platforms, while taking into account factors such as gender, and elements related to the behavior/reactions of witnesses and victims.
Palliat Med Rep
December 2024
Department of Palliative care, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Background: Little is known about the public perception of palliative care during and after the pandemic. Assuming that analyzing online language data has the potential to collect real-time public opinions, an analysis of large online datasets can be beneficial to guide future policymaking.
Objectives: To identify long-term effects of the COVID-19 pandemic on the public perception of palliative care and palliative care-related misconceptions on the Internet (worldwide) through natural language processing (NLP).
Am J Health Syst Pharm
January 2025
Pfizer Inc., city/state, USA.
Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
View Article and Find Full Text PDFAm J Health Syst Pharm
January 2025
The University of North Texas Health Science Center College of Pharmacy, Fort Worth, TX, USA.
Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
View Article and Find Full Text PDFAm J Health Syst Pharm
January 2025
Department of Pharmacy, Dell Seton Medical Center at the University of Texas, Austin, TX, USA.
Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
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