The federal Strong Start for Mothers and Newborns initiative supported alternative approaches to prenatal care, enhancing service delivery through the use of birth centers, group prenatal care, and maternity care homes. Using propensity score reweighting to control for medical and social risks, we evaluated the impacts of Strong Start's models on birth outcomes and costs by comparing the experiences of Strong Start enrollees to those of Medicaid-covered women who received typical prenatal care. We found that women who received prenatal care in birth centers had lower rates of preterm and low-birthweight infants, lower rates of cesarean section, and higher rates of vaginal birth after cesarean than did the women in the comparison groups. Improved outcomes were achieved at lower costs. There were few improvements in outcomes for participants who received group prenatal care, although their costs were lower in the prenatal period, and no improvements in outcomes for participants in maternity care homes.
The Health Reform Monitoring Survey (HRMS) was launched in 2013 as a mechanism to obtain timely information on the Affordable Care Act (ACA) during the period before federal government survey data for 2013 and 2014 will be available. Based on a nationally representative, probability-based Internet panel, the HRMS provides quarterly data for approximately 7,400 nonelderly adults and 2,400 children on insurance coverage, access to health care, and health care affordability, along with special topics of relevance to current policy and program issues in each quarter. For example, HRMS data from summer 2013 show that more than 60 percent of those targeted by the health insurance exchanges struggle with understanding key health insurance concepts. This raises concerns about some people's ability to evaluate trade-offs when choosing health insurance plans. Assisting people as they attempt to enroll in health coverage will require targeted education efforts and staff to support those with low health insurance literacy.
There are large differences in US health insurance coverage by racial and ethnic groups, yet there have been no estimates to date on how implementation of the Affordable Care Act will affect the distribution of coverage by race and ethnicity. We used a microsimulation model to show that racial and ethnic differentials in coverage could be greatly reduced, potentially cutting the eight-percentage-point black-white differential in uninsurance rates by more than half and the nineteen-percentage-point Hispanic-white differential by just under one-quarter. However, blacks and Hispanics are still projected to remain more likely to be uninsured than whites. Achieving low uninsurance under the Affordable Care Act will depend on effective state policies to attain high enrollment in Medicaid and the Children's Health Insurance Program and the new insurance exchanges. Coverage gains among Hispanics will probably depend on adoption of strategies that address language and related barriers to enrollment and retention in California and Texas, where almost half of Hispanics live. If uninsurance is reduced to the extent projected in this analysis, sizable reductions in long-standing racial and ethnic differentials in access to health care and health status are likely to follow.
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