LAUSR

Key Points Question How does the performance of different methods to reduce bias for clinical prediction algorithms compare when measured by disparate impact and equal opportunity difference? Findings In a cohort study of 314 903 White and 217 899 Black female pregnant individuals with Medicaid coverage, application of a reweighing method was associated with a greater reduction in algorithmic bias for postpartum depression and mental health service utilization prediction between White and Black individuals than simply excluding race from the prediction models. Meaning Researchers should examine clinical prediction models for bias stemming from the underlying data and consider methods to mitigate the bias.