Katsiaryna Khatskevich, Clare F Hartman, Joon Cha, Angela Nguyen, Ashley Mason, Rahul Mhaskar, Tiffany G Baker
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引用次数: 0
Abstract
Objectives: Social media platforms like Facebook, X (formally Twitter), and Instagram bridge pathology programs with other health professionals, prospective students, and the public, but the extent of social media usage by residency programs remains unexplored. This study investigates the current landscape of social media utilization by pathology programs.
Methods: Using the National Resident Matching Program (NRMP) Match Data from 2022, 139 anatomic and clinical pathology residency programs were analyzed and categorized into 3 prestige tiers based on Doximity ratings. There were 32,067 posts examined between January 2018 and August 2022. Statistical analyses, including analysis of variance and Tukey honestly significant difference post hoc analysis, were performed to evaluate likes/views about post type.
Results: X emerged as the most used platform (68%), focusing on pathology education (27.02%). Instagram centered on resident life (25.84%), while Facebook showcased person-specific posts (35.61%). Notably, there was a correlation between program prestige and the number of posts on X and Instagram, with the most prestigious programs posting more frequently than those considered more intermediate or low in prestige rank.
Conclusions: Social media is vital in connecting pathology programs with various stakeholders. Despite seasonal fluctuations, the overall utilization of social media continues to rise, underscoring its value as a long-term resource for pathology education and communication.
期刊介绍:
The American Journal of Clinical Pathology (AJCP) is the official journal of the American Society for Clinical Pathology and the Academy of Clinical Laboratory Physicians and Scientists. It is a leading international journal for publication of articles concerning novel anatomic pathology and laboratory medicine observations on human disease. AJCP emphasizes articles that focus on the application of evolving technologies for the diagnosis and characterization of diseases and conditions, as well as those that have a direct link toward improving patient care.