Data, Surveillance, and Epidemiology
How common is diabetes and prediabetes?
- About 65,000 Montana adults currently have diagnosed diabetes.1
- The percentage of Montana adults with diagnosed diabetes increased from 2.8% in 1990 to 8.0% in 2016.1
- Diabetes is more common among American Indians/Alaska Natives than White non-Hispanics in Montana. In 2015, 19.0% of American Indian/Alaska Natives in Montana reporting having diagnosed diabetes compared to 7.3% of White non-Hispanics.1
- In the US, the number of people diagnosed with diabetes increased from 1.5 million in 1958 to 23.1 million in 2015.3
- In 2013, only 6.8% of Montana adults reported having prediabetes.1
- In the US, it is estimated that 84.1 million adults (33.9% of the adult US population) aged 18 years or older have prediabetes.3
- Montana Behavioral Risk Factor Surveillance System 1990-2016.
- National Health and Nutrition Examination Survey (NHANES) 2011-2014.
- Centers for Disease Control and Prevention National Diabetes Statistics Report 2017.
What data sources inform us about pre-diabetes and diabetes?
The Montana Diabetes Program uses variety of data for diabetes surveillance and evaluation, reports, grant reporting, and to direct program decisions to reduce the prevalence of diabetes, the morbidity from diabetes, and the development of complications of diabetes among Montana residents. A list of data sets used is included below, and you can access the Public Health Data Resource Guide to learn more about them. Data sets do not contain information that can identify individuals.
- Behavioral Risk Factor Surveillance System (BRFSS)
- Birth and Death Records
- Montana Hospital and Emergency Department Discharge Data System
- Diabetes Quality Care Monitoring System (DQCMS)
- The DQCMS is a diabetes patient registry to support quality improvement (QI) in primary care and diabetes self-management education programs. This program tracks outcomes for diabetes management including A1C, blood pressure, cholesterol levels, tobacco cessation, immunizations, chronic kidney disease, foot care, and medication. See the quarterly QI reports for more information.
- Centers for Disease Control and Prevention (CDC)
- Centers for Medicare and Medicaid (CMS)
- The CMS provides information on the prevalence, utilization, and Medicare spending for beneficiaries with chronic conditions, including diabetes. The agency produced the Medicare Chronic Conditions Dashboard where data can be viewed by region, state and county.
- American Diabetes Association (ADA)
Montana Quick Stats
The Montana Quick Stats provides quick access to statistics with short description on topics related to diabetes.
- Number of Montana Medicaid Expansion Beneficiaries Diagnosed with Diabetes by Month, Montana 2016-2018
- Percentage Distribution of Test Score Category of the Prediabetes Risk Score Test at Enrollment, by Generation, Montana Diabetes Prevention Program (DPP), 2008-2015
- Enrollment in the Montana Diabetes Prevention Program (DPP) by generation, 2008-2015
- Geographic Distribution of Diagnosed Diabetes and Obesity Prevalence in Montana, 2008-2012
- Percentage change in distribution of participants in Body Mass Index (BMI) categories over time (Baseline, 4-month, and 10-month assessment) Diabetes Prevention Program, 2008-2013
- Percentage Distribution by Gender by Age Group, Montana Diabetes Prevention Program, 2008-2013
- Fall risk among adults with and without diabetes, Montana
These reports aim to increase the understanding of data related to diabetes prevention, education, and management as well as provides clinical recommendation to the health care community.
Special Reports and Presentations
The Montana Diabetes Program staff often participate in regional and national conferences and share data related to diabetes and its complications in oral and poster presentations. These reports and presentation cover variety of topics related to diabetes. Please contact the MDP to inquire about what other data may be available.
Questions and comments on data, surveillance, and epidemiology can be sent to our Epidemiologist and Data Analyst.