Clare C. Brown (
Jennifer E. Moore, Institute for Medicaid Innovation; and University of Michigan, Ann Arbor, Michigan.
Health Aff (Millwood). 2023 Feb;42(2):261-267. doi: 10.1377/hlthaff.2022.00656.
Using National Center for Health Statistics data (2016-20), we evaluated variation in low birthweight and prematurity among racial and ethnic subcategories. Disparities as large as 2.3-fold among rates of low birthweight for "multiple race" subcategories underscore the need for granular data stratification and analysis by racial and ethnic subcategories to address the root causes of inequities in infant outcomes.
利用国家卫生统计中心的数据(2016-20 年),我们评估了不同种族和族裔亚类别的低出生体重和早产的差异。“多种族”亚类别的低出生体重率差异高达 2.3 倍,这突显了需要按种族和族裔亚类对数据进行细分和分析,以解决婴儿结局不平等的根本原因。