Purpose: Health disparities exist when the prevalence or outcome of the disease are influenced by age, race, sex or income. Health disparities are prevalent in autoimmune diseases. However, there is a lack of national US data regarding health disparities in uveitis. The primary aim of our study is to evaluate health disparities for uveitis in the USA.

Methods: We performed a retrospective, observational, cross-sectional study to ascertain health disparities for uveitis and its complications in the USA using the National Inpatient Sample (NIS) for the years 2002-2013. We used the International Classification of Disease, ninth revision, codes to identify uveitis cases and ocular complications. Uveitis was divided into total, infectious and non-infectious uveitis. We collected information on age, sex, race, income quartile and ocular complications. We preformed statistical analysis using SAS V.9.4. A logistic regression model was used to predict the odds of developing uveitis and its complications.

Results: There were a total of 94 143 978 discharges including 15 296 total uveitis, 4538 infectious and 10 758 non-infectious uveitis patients. Compared with the total NIS population, patients with uveitis were younger (mean age 45±18 vs 48±28 years, p value ≤0.0001, African-Americans (23% vs 10%, p value ≤0.0001), in the lowest income quartile (<$38 999; 29% vs 26%, p value ≤0.0001) and were insured by Medicaid (25% vs 20%, p value ≤0.0001).

Conclusion: African-American patients have a higher prevalence of uveitis. Patients insured by Medicare and Medicaid have more frequent ocular complications. This knowledge may guide future research on disparity and shape healthcare decision making.