Exploring patient experiences and concerns in the online Cochlear implant community: A cross-sectional study and validation of automated topic modelling.

Christopher Y K WilliamsRosia X LiMichael Y LuoManohar L Bance

Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2023)

This cross-sectional study of social media discussions among the online cochlear implant community identified common attitudes, experiences and concerns of patients living with, or seeking, a cochlear implant. Our validation of natural language processing methods to categorise topics shows that automated analysis of similar Otolaryngology-related content is a viable and accurate alternative to manual qualitative approaches.

Keyphrases

social media
mental health
health information
end stage renal disease
healthcare
machine learning
deep learning
high throughput
ejection fraction
chronic kidney disease
newly diagnosed
prognostic factors
physical activity
autism spectrum disorder
risk factors
patient reported outcomes
single cell
patient reported