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ABSTRACT: Background and aims
Due to the high symptom and treatment burden in myasthenia gravis (MG), understanding patient and care partner perspectives and preferences is crucial.Methods
This study used voice analysis and virtual focus groups to understand patient and care partner experiences with MG-related symptoms, treatments, and preferences. The voice analysis via social media listening used artificial intelligence-powered tools to gather and structure public digital conversations on MG. Focus groups included people living with MG and care partners who completed a questionnaire and participated in a 1-h virtual session facilitated using a semi-structured interview guide. Qualitative data were aggregated, transcribed, and thematically analyzed.Results
The voice analysis
SUBMITTER: Yung M
PROVIDER: S-EPMC11422664 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature