Surveillance for selected maternal behaviors and experiences before, during, and after pregnancy. Pregnancy Risk Assessment Monitoring System (PRAMS), 2000.

PROBLEM/CONDITION: Various maternal behaviors and experiences are associated with adverse health outcomes for both the mother and the infant. These behaviors and experiences can occur before pregnancy (e.g., insufficient intake of folic acid), during pregnancy (e.g., complications requiring hospitalization, such as high blood pressure), and after pregnancy (e.g., inadequate follow-up of infants who were discharged early). Information regarding maternal behaviors and experiences is needed to monitor trends, to enhance the understanding of the relations between behaviors and health outcomes, to plan and evaluate programs, to direct policy decisions, and to monitor progress toward Healthy People 2010 objectives (US Department of Health and Human Services. Healthy People 2010. 2nd. ed. With understanding and improving health and objectives for improving health [2 vols.]. Washington DC: US Department of Health and Human Services, 2000). REPORTING PERIOD COVERED: This report covers data for 2000. DESCRIPTION OF SYSTEM: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing, state- and population-based surveillance system designed to monitor selected self-reported maternal behaviors and experiences that occur before, during, and after pregnancy among women who deliver a live-born infant in 31 states and New York City. PRAMS employs a mixed-mode data collection methodology; as many as three self-administered surveys are mailed to a sample of mothers, and nonresponders are followed up with a telephone interview. Self-reported survey data are linked to selected birth certificate data and weighted for sample design, nonresponse, and noncoverage to create annual PRAMS analysis data sets. PRAMS data can be used to produce statewide estimates of various perinatal health behaviors and experiences among women delivering a live infant. Four indicators for the year 2000 (multivitamin use, pregnancy-related complications, infant checkup, and postpartum contraceptive use) from 19 states are examined in this report. RESULTS: In 2000, the prevalence of multivitamin use > or =4 times per week in the month before pregnancy ranged from 25.0% to 40.7% across the 19 states. Prevalence of pregnancy-related complications requiring hospitalization ranged from 8.8% to 16.3%. Prevalence of infant checkups within 1 week of early (< or =48 hours) hospital discharge ranged from 51.5% to 88.6%. Prevalence of postpartum contraceptive use ranged from 77.9% to 89.9%. INTERPRETATION: PRAMS data indicate that 19 states are well below the Healthy People 2010 objective for folic acid consumption, as measured by multivitamin use. Data for infant checkups indicate that guidelines for care are not being followed for as many as half of those discharged early. However, data for additional years are needed to assess trends in these four indicators. PUBLIC HEALTH ACTION: State maternal and child health programs can use these population-based data to monitor progress toward Healthy People 2010 objectives, evaluate adherence to guidelines for care, and assess changes in prevalence of other health behaviors. The data can be shared with policy makers to direct policy decisions that might affect the health of mothers and infants. By providing data on maternal behaviors and experiences that are associated with adverse outcomes, PRAMS supports the activities of two CDC initiatives-to promote safe motherhood and to reduce infant mortality and low birthweight.

Surveillance for disparities in maternal health-related behaviors--selected states, Pregnancy Risk Assessment Monitoring System (PRAMS), 2000-2001.

PROBLEM/CONDITION: Disparities in maternal and infant health have been observed among members of different racial and ethnic populations and persons of differing socioeconomic status. For the Healthy People 2010 objectives for maternal and child health to be achieved (US Department of Health and Human Services. Healthy People 2010. 2nd ed. With understanding and improving health and objectives for improving health [2 vols.]. Washington DC: US Department of Health and Human Services, 2000), the nature and extent of disparities in maternal behaviors that affect maternal or infant health should be understood. Identifying these disparities can assist public health authorities in developing policies and programs targeting persons at greatest risk for adverse health outcomes. REPORTING PERIOD COVERED: 2000-2001. DESCRIPTION OF THE SYSTEM: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing state- and population-based surveillance system designed to monitor selected maternal behaviors and experiences that occur before, during, and after pregnancy among women who deliver live-born infants. PRAMS employs a mixed mode data-collection methodology; up to three self-administered surveys are mailed to a sample of mothers, and nonresponders are followed up with telephone interviews. Self-reported survey data are linked to selected birth certificate data and weighted for sample design, nonresponse, and noncoverage to create annual PRAMS analysis data sets that can be used to produce statewide estimates of different perinatal health behaviors and experiences among women delivering live infants in 31 states and New York City. This report summarizes data for 2000-2001 from eight states (Alabama, Colorado, Florida, Hawaii, Illinois, Maine, Nebraska, and North Carolina) on four behaviors (smoking during pregnancy, alcohol use during pregnancy, breastfeeding initiation, and use of the infant back sleep position) for which substantial health disparities have been identified previously. RESULTS: Although the prevalence of each behavior varied by state, consistent patterns were observed among the eight states by age, race, ethnicity, education, and income level. Overall, the prevalence of smoking during pregnancy ranged from 9.0% to 17.4%. Younger (aged <25 years) women, white women, American Indian women, non-Hispanic women (except in Hawaii), women with a high school education or less, and women with low incomes consistently reported the highest rates of smoking. Overall, the prevalence of alcohol use during pregnancy ranged from 3.4% to 9.9%. In seven states, women aged >35 years, non-Hispanic women, women with more than a high school education, and women with higher incomes reported the highest prevalence of alcohol use during pregnancy. Overall, the prevalence of breastfeeding initiation ranged from 54.8% to 89.6%. Younger women, black women, women with a high school education or less, and women with low incomes reported the lowest rates of breastfeeding initiation. The size of the black-white disparity in breastfeeding varied among states. Overall, use of the back sleep position for infants ranged from 49.7% to 74.8%. Use of the back sleep position was lowest among younger women, black women, women with lower levels of education, and women with low incomes. Ethnic differences in sleep position varied substantially by state. INTERPRETATION: PRAMS data can be used to identify racial, ethnic, and socioeconomic disparities in critical maternal health-related behaviors. Although similar general patterns by age, education, and income were observed in at least seven states, certain racial and ethnic disparities varied by state. Prevalence of the four behaviors among each population often varied by state, indicating the potential impact of state-specific policies and programs. PUBLIC HEALTH ACTION: States can use PRAMS data to identify populations at greatest risk for maternal behaviors that have negative consequences for maternal and infant health and to develop policies and plan programs that target populations at high risk.sk. Although prevalence data cannot be used to identify causes or interventions to improve health outcomes, they do indicate the magnitude of disparities and identify populations that should be targeted for intervention. This report indicates a need for wider targeting than is often done. The results from this report can aid state and national agencies in creating more effective public health policies and programs. The data described in this report should serve as a baseline that states can use to measure the impact of policies and programs on eliminating these health disparities.