Evidence map›Paper›PMID 42518738›Full record

ArticleFrontiers in digital health2026

Theory-informed design and dissemination of multilingual menopause CoMICs: the Menopause MEET initiative.

Eleni Armeni, Ugljesa Barac, Esha Kaur, Punith Kempegowda, DEVI Collaboration

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Eleni ArmeniDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Ugljesa BaracDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Esha KaurDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Punith KempegowdaDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
DEVI Collaboration

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: 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. Methods: 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). Results: 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. Conclusions: The Menopause MEET initiative provides a practical framework for scalable, multilingual patient education with sustained global engagement.

Indexed as

comicseducationmenopausemulti-lingualsocial media

Identifiers

PMID42518738
PMCPMC13381839

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.