This study exploits administrative data for neuroepidemiological research and examines associations between neighbourhood environments and risk of hospitalization among multiple sclerosis (MS) patients in New Brunswick, Canada. We created a provincial database of MS patients by linking administrative health records with geographic-based characteristics of local communities. Using Cox models, we found the risk of admission for cardiometabolic complications was lower among residents of ethnically homogeneous neighbourhoods (hazards ratio [HR]: 0.75 [95% confidence interval (CI): 0.60-0.95]); that for mental health disorders was higher in socioeconomically deprived (HR: 1.80 [95% CI: 1.06-3.05]) and residentially unstable (HR: 1.61 [95% CI: 1.05-2.46]) neighbourhoods. Results suggest that selected neighbourhood environments may be associated with differential hospital burden among MS patients.
Keywords: Multiple sclerosis; administrative data; epidemiology; hospitalization; observational study; patient social context.