Evidence map›Paper›PMID 40464956›Full record

ArticleRheumatology international2025

Social media in myositis care - an exploratory mixed-methods study among myositis patients (SociMyo).

Katharina Boy, Niklas Ohm, Susann May, Greta Nordmann, Lynn Wilson, Johannes Knitza, Martin Heinze, Latika Gupta, Felix Muehlensiepen

Abstract read
In one paragraph

Article in Rheumatology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Patient opinion in rheumatology matters.Rheumatology international · 2025
    Article
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

9 authors.

Katharina BoyBrandenburg Medical School Theodor Fontane, Center for Health Services Research, Faculty of Health Sciences Brandenburg, Rüdersdorf bei Berlin, Berlin, Germany. katharina.boy@mhb-fontane.de.ORCID http://orcid.org/0009-0009-9616-6278
Niklas OhmBrandenburg Medical School Theodor Fontane, Center for Health Services Research, Faculty of Health Sciences Brandenburg, Rüdersdorf bei Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0004-1539-5890
Susann MayBrandenburg Medical School Theodor Fontane, Center for Health Services Research, Faculty of Health Sciences Brandenburg, Rüdersdorf bei Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3847-4861
Greta NordmannBrandenburg Medical School Theodor Fontane, Center for Health Services Research, Faculty of Health Sciences Brandenburg, Rüdersdorf bei Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0004-2046-087X
Lynn WilsonMyositis Support and Understanding (MSU), Lincoln, Delaware, United States of America.ORCID http://orcid.org/0009-0008-4371-3373
Johannes KnitzaInstitute for Digital Medicine, University Hospital of Giessen and Marburg, Philipps-University Marburg, Marburg, Germany.ORCID http://orcid.org/0000-0001-9695-0657
Martin HeinzeBrandenburg Medical School Theodor Fontane, Center for Health Services Research, Faculty of Health Sciences Brandenburg, Rüdersdorf bei Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3645-1033
Latika GuptaSchool of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0003-2753-2990
Felix MuehlensiepenBrandenburg Medical School Theodor Fontane, Center for Health Services Research, Faculty of Health Sciences Brandenburg, Rüdersdorf bei Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-8571-7286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myositis is a rare autoimmune disease primarily affecting muscles, with potential involvement of the skin, heart, and lungs. Patients often experience delays in diagnosis, lack of adequate information, and limited support for disease management. Social media has emerged as a valuable tool to address these gaps by facilitating information exchange, peer support, and community building. However, its role in myositis care is not yet well understood. This study aims to explore how myositis patients use social media, focusing on shared content, perceived benefits and challenges, and the overall impact on disease management and emotional well-being. A mixed-methods approach was applied, including semi-structured interviews with 11 patients and a netnographic analysis of social media group dedicated to myositis care. Data were analyzed using Kuckartz's structured qualitative content analysis, with coding performed inductively, to identify key themes. Four key themes emerged: (I) Social media as a global platform for sharing experiential knowledge, particularly on symptom management, medication side effects, and coping strategies. (II) Peer support fostering a sense of belonging, emotional exchange, and mutual encouragement through structured discussions and community-driven moderation. (III) Perceived benefits, such as real-time access to patient-driven insights, shared decision-making support, and enhanced communication with healthcare providers. (IV) Perceived drawbacks, including misinformation, privacy concerns, and the absence of professional medical input. Participants emphasized the need for expert involvement to improve content reliability, while also valuing the autonomy and emotional support within these communities. Social media platforms, particularly closed groups, provide a complementary avenue to traditional care by offering support and knowledge exchange. To maximize their potential, privacy concerns and the integration of professional guidance must be addressed.

Indexed as

MyositisSocial MediaAdaptation, PsychologicalAdultAgedFemaleHumansMaleMiddle AgedQualitative ResearchSocial SupportAutoimmune diseasesHealth services researchMyositisRare diseasesSocial mediaTelemedicine

Identifiers

PMID40464956
PMCPMC12137372

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Registered trials

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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.