|Title||Economic Costs Attributable to Diabetes in Each U.S. State|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Authors||Shrestha S.S, Honeycutt A.A, Yang W., Zhang P., Khavjou O.A, Poehler D.C, Neuwahl S.J, Hoerger T.J|
|Keywords||Absenteeism, Adult, Costs and Cost Analysis, Diabetes Mellitus/*economics/*epidemiology, Female, Geography, Health Care Costs/*statistics & numerical data, Health Expenditures/statistics & numerical data, Humans, Male, Mortality, Premature, Prevalence, United States/epidemiology|
OBJECTIVE: To estimate direct medical and indirect costs attributable to diabetes in each U.S. state in total and per person with diabetes. RESEARCH DESIGN AND METHODS: We used an attributable fraction approach to estimate direct medical costs using data from the 2013 State Health Expenditure Accounts, 2013 Behavioral Risk Factor Surveillance System, and the Centers for Medicare & Medicaid Services' 2013-2014 Minimum Data Set. We used a human capital approach to estimate indirect costs measured by lost productivity from morbidity (absenteeism, presenteeism, lost household productivity, and inability to work) and premature mortality, using the 2008-2013 National Health Interview Survey, 2013 daily housework value data, 2013 mortality data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research, and mean wages from the 2014 Bureau of Labor Statistics. Costs were adjusted to 2017 U.S. dollars. RESULTS: The estimated median state economic cost was $5.9 billion, ranging from $694 million to $55.5 billion, in total and $18,248, ranging from $15,418 to $30,915, per person with diabetes. The corresponding estimates for direct medical costs were $2.8 billion (range $0.3-22.9) and $8,544 (range $6,591-12,953) and for indirect costs were $3.0 billion (range $0.4-32.6) and $9,672 (range $7,133-17,962). In general, the estimated state median indirect costs resulting from morbidity were larger than costs from mortality both in total and per person with diabetes. CONCLUSIONS: Economic costs attributable to diabetes were large and varied widely across states. Our comprehensive state-specific estimates provide essential information needed by state policymakers to monitor the economic burden of the disease and to better plan and evaluate interventions for preventing type 2 diabetes and managing diabetes in their states.
|Short Title||Diabetes careDiabetes care|
|Alternate Journal||Diabetes care|