August 29, 2012
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Report
This report analyzes recent trends in health insurance coverage for children at the state level between 2008 and 2010. The percentage of children with public coverage through Medicaid or the Children’s Health Insurance Program (CHIP) increased subst ...
July 1, 2011
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Survey/Poll
2010 ACS and CPS numbers to be released in September experts will provide insight in September 23 webinar.
October 1, 2010
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Report
Experts at the University of Minnesota’s State Health Access Data Assistance Center (SHADAC) analyzed the 2008 ACS data and found significant variations, both within and across states by age, race/ethnicity and family income.
August 11, 2010
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Report
The Oregon Health Study examines the effects of health insurance on individuals’ access to and utilization of health care, its effect on family finances, and ultimately its role in improving the health of a population.
October 7, 2011
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Story
A Profile of Linda J. Blumberg, PhD, and Len M. Nichols, PhD.
November 1, 2010
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Journal Article
When deciding whether to treat an uninsured patient, providers often review the patient's payment history. This study examined demographic characteristics predictive of nonpayment among uninsured patients the study occurred in metropolitan emergency departments and ambulatory clinics.
October 1, 2010
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Journal Article
Depending on which data source is used, estimates of uninsurance rates and disparities in these rates between population groups can differ substantially, according to this analysis comparing data from three national surveys regarding the American Indian/Alaska Native population.
March 31, 2011
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Story
Founder Named One Of Four Recipients
December 21, 2009
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Program Result
The Institute of Medicine of the National Academy of Sciences studied how the lack of health insurance affects individuals, families, communities and the nation and produced and disseminated six reports analyzing these consequences.
September 10, 2009
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Journal Article
This paper reports analyses of Current Population Survey Medicaid responses matched to individual-level, high-quality administrative data on Medicaid enrollment.