The Economic Burden of Elevated Blood Glucose Levels in 2017: Diagnosed and Undiagnosed Diabetes, Gestational Diabetes Mellitus, and Prediabetes.

OBJECTIVE: This study was conducted to update national estimates of the economic burden of undiagnosed diabetes, prediabetes, and gestational diabetes mellitus (GDM) in the United States for year 2017 and provide state-level estimates. Combined with published estimates for diagnosed diabetes, these updated statistics provide a detailed picture of the economic costs associated with elevated blood glucose levels. RESEARCH DESIGN AND METHODS: This study estimated medical expenditures exceeding levels occurring in the absence of diabetes or prediabetes and the indirect economic burden associated with reduced labor force participation and productivity. Data sources analyzed included Optum medical claims for ∼5.8 million commercially insured patients continuously enrolled from 2013 to 2015, Medicare Standard Analytical Files containing medical claims for ∼2.8 million Medicare patients in 2014, and the 2014 Nationwide Inpatient Sample containing ∼7.1 million discharge records. Other data sources were the U.S. Census Bureau, Centers for Disease Control and Prevention, and Centers for Medicare & Medicaid Services. RESULTS: The economic burden associated with diagnosed diabetes (all ages), undiagnosed diabetes and prediabetes (adults), and GDM (mothers and newborns) reached nearly $404 billion in 2017, consisting of $327.2 billion for diagnosed diabetes, $31.7 billion for undiagnosed diabetes, $43.4 billion for prediabetes, and nearly $1.6 billion for GDM. Combined, this amounted to an economic burden of $1,240 for each American in 2017. Annual burden per case averaged $13,240 for diagnosed diabetes, $5,800 for GDM, $4,250 for undiagnosed diabetes, and $500 for prediabetes. CONCLUSIONS: Updated statistics underscore the importance of reducing the burden of prediabetes and diabetes through better detection, prevention, and treatment.

Diabetes diagnosis and management among insured adults across metropolitan areas in the U.S.

This study provides diabetes-related metrics for the 50 largest metropolitan areas in the U.S. in 2012-including prevalence of diagnosed and undiagnosed diabetes, insurance status of the population with diabetes, diabetes medication use, and prevalence of poorly controlled diabetes. Diabetes prevalence estimates were calculated using cross-sectional data combining the Behavioral Risk Factor Surveillance System, American Community Survey, National Nursing Home Survey, Census population files, and National Health and Nutrition Examination Survey. Analysis of medical claims files (2012 de-identified Normative Health Information database, 2011 Medicare Standard Analytical Files, and 2008 Medicaid Analytic eXtract) produced information on treatment and poorly controlled diabetes by geographic location, insurance type, sex, and age group. Among insured adults with diagnosed type 2 diabetes in 2012, the proportion receiving diabetes medications ranged from 83% in Oklahoma City, Oklahoma, to 65% in West Palm Beach, Florida. The proportion of treated patients with medical claims indicating poorly controlled diabetes was lowest in Minneapolis, Minnesota (36%) and highest in Texas metropolitan areas of Austin (51%), San Antonio (51%), and Houston (50%). Estimates of diabetes detection and management across metropolitan areas often differ from state and national estimates. Local metrics of diabetes management can be helpful for tracking improvements in communities over time.

Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease.

INTRODUCTION: We calculated the health and economic impacts of participation in a digital behavioral counseling service that is designed to promote a healthful diet and physical activity for cardiovascular disease prevention in adults with prediabetes and cardiovascular disease risk factors (Prevent, Omada Health, San Francisco, California). This program enhances the Centers for Disease Control and Prevention's Diabetes Prevention Recognition Program. Participants completed a 16-week core program followed by an ongoing maintenance program. METHODS: Analysis was conducted for 2 populations meeting criteria for lifestyle intervention: 1) prediabetes (n = 1,663), and 2) high cardiovascular disease risk (n = 2,152). The Markov-based model simulated clinical and economic outcomes related to obesity and diabetes annually over 10 years for the 2 defined populations. Comparisons were made between participants and propensity-matched controls from the community. RESULTS: The return-on-investment break-even point was 3 years in both populations. Simulated return on investment for the population with prediabetes was $9 and $1,565 at years 3 and 5, respectively. Simulated return on investment for the population with cardiovascular disease risk was $96 and $1,512 at years 3 and 5, respectively. Results suggest that program participation reduces diabetes incidence by 30% to 33% and stroke by 11% to 16% over 5 years. CONCLUSION: Digital Behavioral Counseling provides significant health benefits to patients with prediabetes and cardiovascular disease and a positive return on investment.