Patterns of Treatment Switching in Multiple Sclerosis Therapies in US Patients Active on Social Media: Application of Social Media Content Analysis to Health Outcomes Research.

Valery Risson Deepanshu Saini Ian C Bonzani Alice Huisman Melvin Skip Olson

Published in: Journal of medical Internet research (2016)

Social intelligence can be applied to outcomes research with power to analyze MS patients' personal experiences of treatments and to chart the most common reasons for switching between therapies.

Keyphrases

social media
multiple sclerosis
end stage renal disease
health information
newly diagnosed
ejection fraction
chronic kidney disease
mental health
healthcare
peritoneal dialysis
prognostic factors
metabolic syndrome
white matter