To generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets.
Several AHC datasets representing the US private and government-sponsored insurance programs which included Optum (OP), Truven Health (TH), Kaiser Permanente Southern California (KPSC), Centers for Medicare & Medicaid Services, Department of Defense and Veteran Affairs.
A validated algorithm was applied to each dataset, to determine the 3-year cumulative prevalence overall and stratified by age, sex, and census region for adults (≥18 years of age). Insurance-specific and stratum-specific estimates were applied to the 2010 US Census data. The findings were pooled to calculate the 2010 prevalence of MS in the United States cumulated over 3 years. The study estimated the 2010 prevalence cumulated over 10 years using 2 models and extrapolated the estimate to 2017.
Estimated 2010 US MS prevalence accumulated over 10 years. Also, extrapolated date to 2017 prevalence.
Results may not be generalizable to the entire US population. This study assessed a 100% of publicly funded population but not the uninsured population or children <18 years of age within the US.
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