Abstract
Racial/ethnic minorities in the USA exhibit reduced health literacy (HL) proficiency, leading to increased health disparities. It is unclear how the effect of birth status (immigrant/US-born) affects HL proficiency among racial/ethnic minorities. To identify the direct, indirect, and total effects of birth status on HL proficiency among a nationally representative population of racial/ethnic minority adults in the USA. A cross-sectional study of 2019 data from the Medial Expenditure Panel Survey. Participants aged 18 or older reporting as racial/ethnic minorities (Black, Asian, or Hispanic) with non-missing data. We predicted HL proficiency for each participant using a previously published model. Path analysis was used to estimate the direct, indirect, and total effects of birth status on HL proficiency, accounting for several other covariates. Prevalence ratios were estimated using adjusted Poisson regression to evaluate differences in the "Below Basic" HL category. An estimated weighted 81,092,505 participants were included (57.5% US-born, 42.5% immigrant). More racial/ethnic minority immigrant participants fell into the lowest category of HL proficiency, "Below Basic" (14.3% vs 5.5%, p < 0.05). Results of the path analysis indicated a significant, negative direct effect of birth status on HL proficiency (standardized coefficient = - 0.24, SE = 0.01, 95%CI: - 0.26, - 0.23) in addition to an indirect effect mediated through insurance status, health-system resource use, and English proficiency. The total effect of birth status on HL proficiency was found to be - 0.29. The immigrant participant group had 81% higher prevalence of falling into the "Below Basic" HL category compared to US-born participants (prevalence ratio = 1.81, 95%CI: 1.52, 2.16). Immigrant status has a strong, negative, direct effect on HL proficiency among racial/ethnic minorities in the USA. This may be a result of barriers that prevent equitable access to resources that improveproper HL proficiency. US policymakers may consider several methods to reduce this disparity at the health-system-, provider-, and patient-levels.
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