Quantitative Analysis Reports
Medicaid Expansion Would Lighten Spending Burden
A state-by-state analysis shows where Medicaid expansion could have the most impact on reducing the financial burden of medical costs.
Medicaid
Urban Institute Real Time Policy Analysis
No Vet Left Behind
As many as 40 percent of the nation's 1.3 million uninsured veterans could qualify for Medicaid under provisions of the Affordable Care Act (ACA), a new analysis suggests. Whether veterans receive these benefits depends on which states opt to expand Medicaid.
State Network Resources
Medicaid Expansion: Who Won't Be Eligible?
Despite the far-reaching Medicaid expansion under the Affordable Care Act (ACA), large numbers of low-income uninsured adults won't be eligible because of their immigration status. This brief provides the first state-specific estimates of the number of uninsured low-income adults who fall into that category.
Survey
Support for State Insurance Exchanges Spans Party Lines
Fifty-five percent of the public say establishing the exchanges is a “top priority,” according to a survey released by RWJF, the Kaiser Family Foundation, and the Harvard School of Public Health.
Urban Institute Real Time Policy Analysis
More to Gain, Less to Lose
Under the Affordable Care Act (ACA) implementation, hospitals will likely gain $2.59 in new revenue from Medicaid participants for every dollar lost from private health insurance revenue.
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Medicaid/CHIP Participation Among Children and Parents
December 3, 2012 | Report
The report presents the most up-to-date estimates available on Medicaid/CHIP participation rates, and examines how participation, eligibility, and rates of being insured have changed among children between 2008 and 2010 and examines participation rates among parents.
Analysis of Eligibility Changes and Implications for Selected Medicaid and CHIP Eligibility Groups
July 1, 2012 | Issue Brief
The Patient Protection and Affordable Care Act (ACA) has prompted the Centers for Medicare and Medicaid Services (CMS) to promulgate Medicaid and CHIP eligibility rules designed to simplify and collapse Medicaid eligibility categories in preparation ...
Covering Kids & Families
May 6, 2013 | Program Result
The Covering Kids & Families program was designed to find, enroll and retain eligible children and adults in federal and state health care coverage programs. Statewide and local coalitions in all 50 states and the District of Columbia participated.
Comparing Errors in Medicaid Reporting across Surveys
April 1, 2013 | Journal Article
Surveys of Medicaid insurance coverage vary in design and accuracy
How Well Did Maryland Identify and Enroll Uninsured Children Who Are Potentially Eligible for Medicaid or CHIP?
March 25, 2013 | Program Result
Researchers at the Hilltop Institute evaluated the implementation of Maryland’s tax-based outreach initiative, the Kids First Act, and how well the state achieved its goal of identifying and enrolling uninsured children eligible for Medicaid or CHIP.
Using Data to Drive State Improvement in Enrollment and Retention Performance
November 1, 2011 | Issue Brief
The brief provides recommendations for increasing enrollment and retention in public insurance programs.
Increase in Federal Match Associated With Significant Gains in Coverage for Children Through Medicaid and CHIP
August 1, 2012 | Journal Article
As the number of children living in poverty has increased steadily over the past decade, Medicaid and the Children’s Health Insurance Program (CHIP) have enrolled millions of additional youths. Federal and state governments jointly finance both prog ...
The Target Efficiency of Online Medicaid/CHIP Enrollment
February 1, 2011 | Issue Brief
Brief examines success of ACCESS, Wisconsin's online benefits application system.
Enrolling More Kids in Medicaid and CHIP
January 27, 2011 | Issue Brief
An estimated 7.3 million children lack health insurance, despite being eligible for enrollment in Medicaid or the Children's Health Insurance Program.
Overcoming Interagency Data-Sharing Barriers
January 1, 2011 | Issue Brief
Innovative techniques to identify children eligible for Medicaid and CHIP.