Advancing equity in healthcare systems: understanding implicit bias and infant mortality.

ABSTRACT: Using data from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) and Project Implicit, this study examined whether anti-Black implicit racial biases predict infant mortality for Black Americans. We examined state-level mean Black-White Implicit Association Test (BW-IAT) Bias Scores and controlled for explicit bias scores and White infant mortality rates for over 1.7 million American participants across ten different ethnoracial groups between 2018-2020. Hierarchical linear regressions determined state-level anti-Black implicit bias significantly predicted state-level Black infant mortality rates, above and beyond explicit bias and White infant mortality, in 2018 (b = .32, t(34) = 2.09, p < .05), 2019 (b = .30, t(34) = 2.09, p

SUBMITTER: Gran-Ruaz SM 

PROVIDER: S-EPMC12275399 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature