ArticleEthnicity & health2025
Inclusive data practices: disaggregating race and assessing comorbidities among American Indian and Alaska Native individuals in PRAMS.
Article in Ethnicity & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
5 authors.
Funding
Abstract
importanceTo assess potential misclassification or exclusion of American Indian and Alaska Native (AI/AN) individuals within the Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 8, we compared differences between aggregated and self-reported race variables and their impact on maternal comorbidities. METHODS/
designWe utilized several CDC-provided ethnoracial identity variables alongside a disaggregated variable we created. We then estimated comorbidity prevalences between these groupings to determine the impact of these methodological differences.
resultsPRAMS variables,
conclusionOur results highlight significant disparities in maternal comorbidities among AI/AN women when different racial classification strategies are employed. Disaggregating these data revealed differences that are crucial for understanding the unique health challenges faced by various subgroups.
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