Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study.

Federico Carabot Carolina Donat-Vargas Javier Santoma Miguel Ángel Ortega Cielo Garcia-Montero Oscar Fraile-Martínez Cristina Zaragozá Jorge Monserrat Sanz Melchor Alvarez De Mon Miguel Angel Álvarez-Mon

Published in: Journal of medical Internet research (2023)

Patients seeking relief from pain are highly interested in the effectiveness of drugs rather than potential side effects. Alarming trends include a significant number of tweets trivializing drug use and recreational purposes, along with a lack of awareness regarding side effects. Monitoring conversations related to analgesics on social media is essential due to common illegal web-based sales and purchases without prescriptions.

Keyphrases

social media
health information
end stage renal disease
ejection fraction
systematic review
newly diagnosed
healthcare
randomized controlled trial
mental health
peritoneal dialysis
prognostic factors
high resolution
neuropathic pain
risk assessment
patient reported outcomes
advance care planning