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ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neuromuscular Disorders and Peripheral Neuropathies
Volume 15 - 2024 |
doi: 10.3389/fneur.2024.1474347
Myasthenia Gravis: Utilising cross-platform quantitative content analysis to uncover and validate unmet needs
Provisionally accepted- 1 Charité Center for Global Health, Charité Universitätsmedizin Berlin, Berlin, Germany
- 2 Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Germany, Düsseldorf, Germany
Recent years have seen a rapid growth in the number of online health communities targeted at patients with longterm conditions. Myasthenia Gravis (MG) is a rare neurological disease for which such communities have not been analysed before. The aim of this study was to better understand the needs of the MG population through the collation and categorisation of questions that users of MG social media were asking fellow users on these platforms.Systematic observation of four MG Facebook groups was conducted over a two-month period. Groups were selected for analysis based on the following systematic criteria: Language (English), Membership (≥ 5000 members), group activity (≥ 2 posts per week), target audience (general MG population) and researcher engagement with group administrators. The study protocol was reviewed by the institutional review board of the Charité -Universitätsmedizin Berlin (EA2/106/22). During the observation period, data was extracted from individual posts featuring questions made across each group using a systematic and objective coding scheme. All data points were coded directly from the source and collated into an SPSS database (IBM SPSS V.27, SPSS). Absolute and relative frequencies were calculated for categorical variables and proportions were compared across groups to validate the credibility and relevance of different requests.Of the 2062 posts observed (N = 2062), 1392 featured questions (n = 1392). Questions were asked by 787 unique users: 531 were identified as one-time users (67%) and 256 were identified as repeat users (33%). 656 users were classified as presumed diagnosed (83%), 61 as seeking diagnosis (8%), 69 as family and/or friends (9%) and as other (<0%). Eight unique categories of questions were observed including MG treatment (31%), Symptoms (19%), Living with MG (12%), Diagnosis (10%), non-MG medication (11%), Tests (8%), Location (4%) and Other (4%).Members of the MG population make active use of online health communities to seek and discuss practical information concerning various aspects of the disease, its diagnosis and care. The openness and willingness of the sample population to share sensitive medical information shows a high need for information not entirely catered to by the medical profession.
Keywords: Myasthenia Gravis, peer-to-peer support, Social Media, online health communities, online forums, Content Analysis
Received: 01 Aug 2024; Accepted: 09 Sep 2024.
Copyright: © 2024 Legg, Meisel, Stein, Gerischer, Herdick, Krueger, Mergenthaler, Masanneck and Lehnerer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
David Legg, Charité Center for Global Health, Charité Universitätsmedizin Berlin, Berlin, Germany
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