Reduced risk of inadequate prenatal care in the era after Medicaid expansions in California

Med Care. 2004 May;42(5):416-22. doi: 10.1097/01.mlr.0000124244.26926.4d.

Abstract

Background: To improve perinatal outcomes in the United States, access to prenatal care was expanded through Medicaid and women were encouraged to enter prenatal care early.

Objective: The objective of this study was to determine if expanded eligibility for Medicaid increased use of prenatal care and reduced ethnic differences in use of prenatal care.

Research design: We conducted secondary analysis of California birth certificate data for 1990, 1995, and 1998.

Subjects: We studied live-born singleton infants born to black, Asian, Latina, and white women (n = 1,483,951).

Main outcome measures: Inadequate utilization of prenatal care.

Results: The proportion of live-born infants whose mothers had inadequate prenatal care decreased from 20% in 1990 to 14% in 1995 and 12% in 1998. In addition, the proportion of pregnant women with no insurance or who were self-paying fell from 13.1% in 1990 to 4.2% in 1995 and 3.6% in 1998 (P <0.001). Reductions in overall prevalence of inadequate use of prenatal care and ethnic disparities in use of prenatal care were not fully explained by increases in Medicaid coverage.

Conclusions: Since California expanded access to Medicaid-funded prenatal care, there has been a substantial reduction in inadequate use of prenatal care and fewer women have no insurance or are self-paying. To further reduce ethnic disparities in use of health services, new policies must be developed to remove nonfinancial barriers to early and continuous use of prenatal care.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • California
  • Eligibility Determination
  • Female
  • Health Services Accessibility
  • Humans
  • Insurance Coverage / statistics & numerical data
  • Medicaid*
  • Pregnancy
  • Prenatal Care / statistics & numerical data*
  • Racial Groups / statistics & numerical data
  • Risk Factors