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The Impact of Current State Medicaid Expansion Decisions on Coverage by Race and Ethnicity

This brief finds that people of color will be disproportionately impacted by state decisions to expand Medicaid and that the impact of current state Medicaid expansion decisions varies widely by race and ethnicity, with Blacks at the highest risk of continuing to face coverage gaps and remaining uninsured due to state decisions not to expand at this time. As such, state Medicaid expansion decisions have important implications for efforts to reduce disparities and promote greater equity in health coverage and care.

Health Coverage by Race and Ethnicity: The Potential Impact of the Affordable Care Act

Executive Summary One of the key goals of the Affordable Care Act (ACA) is to reduce the number of uninsured through a Medicaid expansion and the creation of health insurance exchange marketplaces with advance premium tax credits to help moderate-income individuals pay for this coverage. Given that people of color…

The Impact of the Coverage Gap in States not Expanding Medicaid by Race and Ethnicity

The Affordable Care Act (ACA) expansion of Medicaid to adults with incomes at or below 138% of the federal poverty level (FPL) effectively became a state option following the Supreme Court decision, creating a “coverage gap” for many poor uninsured adults in states that do not expand Medicaid. This brief examines this coverage gap by race and ethnicity.

Ensuring the Health Care Needs of Women: A Checklist for Health Exchanges

To inform the development of the state health insurance Exchanges under the Affordable Care Act, this checklist identifies key coverage, affordability and access issues that are important for women. Based on lessons learned from women’s health research and the Massachusetts experience, the checklist considers essential health benefits, implementation of no-cost preventive services including contraception, provider networks and affordability, outreach and enrollment efforts, and the importance of including gender and other demographic characteristics in data collection and reporting standards.

Can We Learn From ACA Implementation and Improve the Law?

Senator Baucus made headlines recently when he predicted a “train wreck” for Obamacare. David Brooks predicted “chaos” in a recent column. In a news conference, the President offered a different perspective.  “There’ll still be, you know, glitches and bumps…. That’s pretty much true of every government program that’s ever been…

Zooming in on Health Reform: Understanding the Potential Impact of the ACA on Medicaid and the Uninsured at the Local Level

The impact of the Affordable Care Act (ACA) will vary by geography depending on current coverage patterns and socio-demographic factors. Use this interactive Zooming In tool to see how the number and composition of individuals enrolled in Medicaid or who are uninsured could change in local areas and at the state level if your state expands Medicaid.

CHIP Enrollment Snapshot: December 2013

This report focuses on changes in monthly CHIP enrollment between December 2012 and December 2013. This is a long standing report that collects monthly CHIP enrollment data for December (and June, not reported here) going back to 2000. While the data provided in this report are not directly comparable to the data released by CMS, they provide context for the preliminary data released by CMS, illustrating historical trends in CHIP enrollment.

Medicaid Enrollment Snapshot: December 2013

This report focuses on changes in monthly Medicaid enrollment between December 2012 and December 2013. This is a long standing report series that collects monthly Medicaid enrollment data for December (and June, not reported here) going back to 2000. While the most recent data included in this report predate preliminary data released by CMS that show the early effects of full implementation of the ACA, this report series is an important source of historical trend data that provides the necessary context to understand these new sources of Medicaid enrollment data. In addition to providing historical trends, these data also provide more detail about enrollment, such as the distribution of the enrollment among children, adults,or the elderly and people with disabilities, as well as Medicaid enrollment trends for each of these groups.