The Economic Burden of Schizophrenia in the United States

Abstract

Aim: The economic burden of schizophrenia in the United States (US) was estimated at $155.7 billion in 2013. Since 2013, the US experienced significant health care reforms and treatment advances. This study analyzed recent data and literature to update the US economic burden estimate for schizophrenia. Methods: Direct and indirect costs associated with schizophrenia were estimated using a prevalence-based approach. Direct health care costs were assessed retrospectively using an exact matched cohort design in the IBM Watson Health MarketScan databases from October 1, 2015, through December 31, 2019. Patients with schizophrenia (identified using ICD-10-CM codes F20 and F25) were exactly matched to controls on demographics, insurance type, and index year. Direct non–health care costs were estimated using published literature and government data. Indirect costs were estimated using a human capital approach and the value of quality-adjusted life-years lost. Cost offsets were estimated to account for basic living costs avoided. Excess costs, comparing costs for individuals with and without schizophrenia, were reported in 2019 USD. Results: The estimated excess economic burden of schizophrenia in the US in 2019 was $343.2 billion, including $251.9 billion in indirect costs (73.4%), $62.3 billion in direct health care costs (18.2%), and $35.0 billion in direct non–health care costs (10.2%). The largest drivers of indirect costs were caregiving ($112.3 billion), premature mortality ($77.9 billion), and unemployment ($54.2 billion). Cost offsets, representing $6.0 billion (1.7%), were subtracted from direct non–health care costs. Conclusions: The estimated burden of schizophrenia in the US doubled between 2013 and 2019 and was $343.2 billion in 2019, highlighting the importance of effective strategies and treatment options to improve the management of this difficult-to-treat patient population.