Myasthenia Gravis: utilising cross-platform quantitative content analysis to uncover and validate unmet needs
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.
Authors
- Lea Gerischer (ORCID: https://orcid.org/0000-0001-5746-068X)
- Meret Herdick (ORCID: https://orcid.org/0000-0003-0119-9499)
- David Legg (ORCID: https://orcid.org/0000-0003-1152-585X)
- Lars Masanneck (ORCID: https://orcid.org/0000-0003-2496-1415)
- Andreas Meisel (ORCID: https://orcid.org/0000-0001-7233-5342)
- Philipp Mergenthaler (ORCID: https://orcid.org/0000-0002-9753-6711)
- Sophie Lehnerer (ORCID: https://orcid.org/0000-0001-9007-027X)
- Maike Stein (ORCID: https://orcid.org/0009-0002-1514-8385)
- Daniela Krüger
Institutions
- University of Oxford (GB)
- Düsseldorf University Hospital (DE)
- Heinrich Heine University Düsseldorf (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-09-27
- DOI
- https://doi.org/10.3389/fneur.2024.1474347
- Citations
- 1
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- Fondation Leducq
- Einstein Stiftung Berlin