Research Article: Theory-informed design and dissemination of multilingual menopause CoMICs: the Menopause MEET initiative
Abstract:
To characterise patterns of dissemination, including reach, interaction, and sustained engagement over time, and compare how these patterns vary across different social media platforms and linguistic contexts.
This prospective dissemination and engagement study was conducted at the University of Birmingham between April 2024 and September 2025. Videos on menopause education were co-created using CoMICs (Concise Medical Information Cines) framework by clinicians and patient advocates and translated into 12 languages. The video creation was informed by established learning and implementation theories. The videos were released across YouTube, Facebook, Instagram, TikTok, and X/Twitter. Engagement metrics, including views, likes, shares, comments, and saves, were collected at 3 and 12 months post-release. Analyses of absolute engagement and percentage growth were performed using Python (pandas v2.2, matplotlib v3.9).
Sustained and heterogeneous engagement was observed across languages and platforms. The largest relative increases in views between 3 and 12 months were seen in Georgian (+205%), Gaeilge (+178%), Malay (+160%), Serbian (+128%), and Spanish (+100%). Moderate growth was observed for Portuguese (+43%), Hindi (+27%), and Romanian (+16%). Turkish (+11%) and English (+6%) content showed stable engagement over time.
The Menopause MEET initiative provides a practical framework for scalable, multilingual patient education with sustained global engagement.
Introduction:
Effective patient education is a key determinant of health outcomes, influencing treatment uptake, adherence, and long-term disease management ( 1 ). As health information increasingly circulates through digital environments, the dissemination of evidence-based knowledge has become a central challenge in public health ( 2 ). Social media enables large-scale dissemination but introduces variability in engagement driven by platform architecture and user behaviour ( 3 , 4 ). Evidence suggests that well-designed…
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