Health Statistics

In this analysis, a health reform scenario is modeled that would expand Medicaid to an estimated 17.0 million uninsured individuals with incomes up to 133 percent of the federal poverty level (FPL), would provide subsidies to 16.3 million uninsured individuals with incomes between 133 and 399 percent of the FPL, and would require an additional 4.3 million uninsured individuals to obtain coverage through an individual mandate, though they would not be eligible for Medicaid or subsidies. The first brief contains an overview of the entire nonelderly uninsured population, and the three remaining briefs address children, parents and childless adults, respectively.

This project uses data from the 2005/2006 National Health Interview Survey to provide a profile of the prevalence of different types of disability and employment among TANF recipients. We find that prevalence of disability varies widely depending on the specific measure used. Using narrow and broad composite disability measures, anywhere from 10 to 40 percent of TANF recipients have a disability and almost one-fifth have a family member with a disability. Disability prevalence among Food Stamp recipients is similar to TANF but low-income mothers have lower prevalence on almost all measures. Employment among TANF recipients with disabilities is considerably lower than among recipients without disabilities.

This brief, part of the Urban Institute's "Recession and Recover" series, examines how the Medicaid and SCHIP programs respond during a recession and how that response may differ in the current recession from their responses in the past. It also assesses the extent to which health insurance coverage may decline as unemployment rises.

This study explores the link between community risk factors and childhood obesity using data on child obesity from the 1988-1994 National Health and Examination Survey, the 2002-2004 National Medical Expenditures Survey, and the 2003-2004 National Survey of Children's Health, combined with data on community characteristics from a wide variety of sources. Multivariate models that relate child obesity to the characteristics of the child's community are used to predict the "risk of childhood obesity" for communities in the United States. The report includes maps and community profiles for 50 states and the District of Columbia.

Researchers from the Urban Institute and the State of Massachusetts explored why existing surveys generate very different estimates of the uninsurance rate in Massachusetts. The surveys they examined are the Current Population Survey (CPS), the Behavioral Risk Factor Surveillance System (BRFSS), the Massachusetts Health Insurance Survey, and the Massachusetts Health Reform Survey (MHRS). This brief described how estimates may vary because of differences in the wording of the insurance questions asked in the surveys, differences in question placement and context within the survey, differences in survey design and fielding strategies, differences in accounting for missing data and other data preparation, and differences in survey fielding time frames. The analysis concludes that there has been no single survey in Massachusetts that is clearly superior across all of these important dimensions.