MS is More Common Than Everyone Realized!
Up until 2019, Multiple Sclerosis (MS) was thought to affect about 350,000 individuals in the US. However, more recent data reveals that number of people with MS is actually nearing 1 million individuals.1
Location, age and gender have a lot to do with how many individuals could have MS.
Using a validated algorithm, we estimate the number of adults with MS in your organization and generate results based on your input.
1. Wallin MT, et al. Neurology. 2019 Mar 5;92(10):e1029-e1040
Tell us a little about yourself.Choose one:
How many adult do you have?A ballpark number is fine!Please enter a number.
What age(s) are your adult ?A best guess or estimate is fine. Just make sure the total equals 100%.18-24%25-34%35-44%45-54%55-64%65-74%75+%Total100%Please ensure the total for the groups above adds up to 100%.
What region(s) do they live in?Again, it’s okay if you’re not 100% sure.West W%Midwest MW%Northeast NE%South S%Total100%Please ensure the total for the groups above adds up to 100%.
Roughly, what ratio are male/female?Female%Male%Total100%
We’re analyzing your data inputs now and we’ll show the results for your organization on-screen in a moment.
Please provide the following information so we can send you an email with the results of your inputs.
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Based on newly available data,
[x,xxx - x,xxx]
of your may have MS.1
Estimates are based on a validated algorithm used to estimate the prevalence of MS from multiple sets of administrative health data including 125 million individuals over 18 years of age. For more details click here.See US Prevalence by Gender, Age and GeographyRestart1. Wallin MT, et al. Neurology. 2019 Mar 5;92(10):e1029-e1040
MS is more prevalent in women, and in adults 45-74.†1
†For educational purposes only. Estimates of MS prevalence in the United States per 100,000 population derived from 2010 US Census and combined datasets from the multiple sclerosis (MS) algorithm inclusive of the following: Truven, Optum, Kaiser Permanente Southern California, Department of Veterans Affairs,Medicare, and Medicaid.1. Wallin MT, et al. Neurology. 2019 Mar 5;92(10):e1029-e1040
MS is most prevalent in the Northeast.‡1
‡For educational purposes only. Figures presented are calculated from an algorithm-based approach for estimating the prevalence of MS in administrative healthcare data sets from a population of 125 million individuals >18 years of age.Restart
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.
- The study did not include children, the Indian Health Service, the US prison system, or undocumented US residents in our prevalence estimates.
- Those with MS not followed in the traditional health care system (e.g., alternative medicine or cash health care practices that bypass health insurance reimbursement) would be missed by our method. This would result in an underestimate of MS cases.
- Study did not characterize the racial or ethnic demographics of our MS population in this report because race and ethnicity were not uniformly collected in the AHC datasets used.
- The majority of datasets, except VA, contained less than 10 years of data.