Data-Driven Medicaid Reform to Advance Equitable Healthcare Access for Immigrant Populations Across U.S. States

The uneven implementation of Medicaid expansion across U.S. states has contributed to persistent healthcare access disparities, particularly among immigrant populations.Despite being vital contributors to the workforce and economy, immigrants-especially non-citizens and mixed-status families-often encounter systemic exclusion from public health insurance programs.This paper explores how data-driven policy reform can close these gaps by leveraging comprehensive health and demographic analytics to support more equitable Medicaid strategies nationwide.Beginning with an overview of Medicaid eligibility frameworks and their interaction with federal immigration policy, the study maps state-level discrepancies in coverage access for lawful permanent residents, Deferred Action recipients, and undocumented individuals.Utilizing data from sources such as the American Community Survey (ACS), Behavioral Risk Factor Surveillance System (BRFSS), and Medicaid enrollment records, the paper identifies patterns of coverage inequality, care deferral, and adverse health outcomes disproportionately affecting immigrant communities.The research introduces a predictive policy modeling approach that simulates the fiscal and public health impacts of expanded Medicaid eligibility across immigrant subgroups.It also examines how states that have adopted inclusive policies-such as prenatal coverage for all income-eligible residents regardless of status-have improved health equity while minimizing uncompensated care expenditures.Case studies from Illinois, Oregon, and California underscore the effectiveness of targeted, data-informed Medicaid expansion.Finally, the paper offers policy recommendations emphasizing the integration of social determinants of health (SDOH) data, equity-focused key performance indicators, and real-time analytics into Medicaid reform.These tools are essential for crafting evidence-based, fiscally responsible policies that extend coverage to marginalized immigrant populations and promote national public health resilience.

Authors

Publication Details

Journal
International Journal of Research Publication and Reviews
Published
2025-05-01
DOI
https://doi.org/10.55248/gengpi.6.0525.1882
Citations
1
Primary Topic
Global Health Workforce Issues
Type
article
Field-Weighted Citation Impact
2.52
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article

Data-Driven Medicaid Reform to Advance Equitable Healthcare Access for Immigrant Populations Across U.S. States

Charles Agyemang, Raymond Antwi Boakye, George Gyamfi
1 citations
International Journal of Research Publication and Reviews
Global Health Workforce Issues
2.52
article

Data-Driven Medicaid Reform to Advance Equitable Healthcare Access for Immigrant Populations Across U.S. States

Charles Agyemang, Raymond Antwi Boakye, George Gyamfi
article en
1 citations

Abstract

The uneven implementation of Medicaid expansion across U.S. states has contributed to persistent healthcare access disparities, particularly among immigrant populations.Despite being vital contributors to the workforce and economy, immigrants-especially non-citizens and mixed-status families-often encounter systemic exclusion from public health insurance programs.This paper explores how data-driven policy reform can close these gaps by leveraging comprehensive health and demographic analytics to support more equitable Medicaid strategies nationwide.Beginning with an overview of Medicaid eligibility frameworks and their interaction with federal immigration policy, the study maps state-level discrepancies in coverage access for lawful permanent residents, Deferred Action recipients, and undocumented individuals.Utilizing data from sources such as the American Community Survey (ACS), Behavioral Risk Factor Surveillance System (BRFSS), and Medicaid enrollment records, the paper identifies patterns of coverage inequality, care deferral, and adverse health outcomes disproportionately affecting immigrant communities.The research introduces a predictive policy modeling approach that simulates the fiscal and public health impacts of expanded Medicaid eligibility across immigrant subgroups.It also examines how states that have adopted inclusive policies-such as prenatal coverage for all income-eligible residents regardless of status-have improved health equity while minimizing uncompensated care expenditures.Case studies from Illinois, Oregon, and California underscore the effectiveness of targeted, data-informed Medicaid expansion.Finally, the paper offers policy recommendations emphasizing the integration of social determinants of health (SDOH) data, equity-focused key performance indicators, and real-time analytics into Medicaid reform.These tools are essential for crafting evidence-based, fiscally responsible policies that extend coverage to marginalized immigrant populations and promote national public health resilience.

International Journal of Research Publication and ReviewsVol. 6(5)
Openalex Percentile: Top 13%
Global Health Workforce Issues
2.52
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