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Economic costs attributed to diagnosed diabetes in each U.S. State and the District of Columbia: 2021
Khavjou, O. A., Sun, M., D'Angelo, S. R., Neuwahl, S. J., Hoerger, T. J., Cho, P., Myers, K., & Zhang, P. (2024). Economic costs attributed to diagnosed diabetes in each U.S. State and the District of Columbia: 2021. Diabetes Care. https://doi.org/10.2337/dc24-0832
Objective: To update state-specific estimates of diabetes-attributable costs in the U.S. and assess changes in spending from 2013 to 2021.
Research design and methods: We used an attributable fraction approach to estimate direct medical costs of diagnosed diabetes using the 2021 State Health Expenditure Accounts, the 2021 Behavioral Risk Factor Surveillance System, and the Centers for Medicare and Medicaid Services 2018-2019 Minimum Data Set. We estimated diabetes-attributable productivity losses from morbidity and mortality using the 2016-2021 National Health Interview Survey and the 2021 mortality data from the Centers for Disease Control and Prevention. Costs were adjusted to 2021 U.S. dollars.
Results: Total diabetes-attributable cost in 2021 was $640 billion ($335 billion in direct medical costs and $305 billion in indirect costs). The median state-level total diabetes-attributable cost was $8.2 billion (range $842 million to $81 billion). The median state-level per-person cost was $21,082, ranging from $17,452 to $37,090. Total diabetes-attributable cost increased by a median of 33% between 2013 and 2021, ranging from 16 to 68% across states. Medical costs increased by 50% overall (range 33-79%) and by 27% (range 15-41%) for per person with diabetes. Costs paid by Medicaid experienced the highest increase between 2013 and 2021 (median 153%; range 41-483%).
Conclusions: State economic costs of diagnosed diabetes are substantial and increased over the last decade. These costs and their growth vary considerably across states. These findings may help state policy makers in developing evidenced-based public health interventions in their respective states to prevent and control the prevalence of diabetes.