Objective: Current real-world health care cost information is needed to project future expenditures and inform policy. We estimated adults' 2019 health care costs in the United States (US) by age, sex, race/ethnicity, geographic region, and comorbidity.
Methods: We aggregated and summarized health care costs in 2021 US dollars using claims data derived from Optum's de-identified Clinformatics® Data Mart database, which includes inpatient, outpatient, and prescription claims for commercial and Medicare Advantage beneficiaries nationwide.
Results: A total of 9,227,901 adults were included in the analysis. The largest group represented was 71-75 years old (13%), female (53%), White (68%), received care in the South (41%), and had commercial health insurance (56%). There was a positive relationship between health care cost and age. Females had a 1.3-fold multiplicative increase in costs compared to males (95% CI 1.33-1.34). There were 92.5% of individuals who had health claims in the Northeast, 89.6% in the Midwest, 88.9% in the South, 77.1% in the West, and 12.7% with unknown geographic region. Patients with severe renal failure, heart failure, or metastatic cancer incurred the highest mean yearly costs ($139,844, $113,031, and $85,299, respectively). Metastatic cancer and severe renal failure were associated with a 5.3-fold multiplicative increase in costs compared with not having these conditions, after adjusting for potential confounders (95% CI, 5.26-5.41 and 4.98-5.16, respectively).
Conclusions: We identified patient characteristics and medical conditions that are associated with high health care cost burden and could benefit from tailored interventions. We provided detailed cost estimates to aid health care modeling, cost projection, and cost-minimizing interventions.
Keywords: Cost-minimization; Health care cost; Health care expenditure; Health care utilization; Medical comorbidities.
Copyright © 2024. Published by Elsevier Inc.