Preconception Health Indicators for Public Health Surveillance.

OBJECTIVES: In response to an expressed need for more focused measurement of preconception health (PCH), we identify a condensed set of PCH indicators for state and national surveillance. METHODS: We used a systematic process to evaluate, prioritize, and select 10 PCH indicators that maternal and child health programs can use for surveillance. For each indicator, we assessed prevalence, whether it was addressed by professional recommendations, Healthy People 2020 objectives, or Centers for Disease Control and Prevention winnable battles, measurement simplicity, data completeness, and stakeholders' input. RESULTS: Fifty PCH indicators were evaluated and prioritized. The condensed set includes indicators that rely on data from the Pregnancy Risk Assessment Monitoring System (n = 4) and the Behavioral Risk Factor Surveillance System (n = 6). The content encompasses heavy alcohol consumption, depression, diabetes, folic acid intake, hypertension, normal weight, recommended physical activity, current smoking, unwanted pregnancy, and use of contraception. CONCLUSIONS: Having a condensed set of PCH indicators can facilitate surveillance of reproductive-aged women's health status that supports monitoring, comparisons, and benchmarking at the state and national levels.

Disparities in Preconception Health Indicators - Behavioral Risk Factor Surveillance System, 2013-2015, and Pregnancy Risk Assessment Monitoring System, 2013-2014.

PROBLEM/CONDITION: Preconception health is a broad term that encompasses the overall health of nonpregnant women during their reproductive years (defined here as aged 18-44 years). Improvement of both birth outcomes and the woman's health occurs when preconception health is optimized. Improving preconception health before and between pregnancies is critical for reducing maternal and infant mortality and pregnancy-related complications. The National Preconception Health and Health Care Initiative's Surveillance and Research work group suggests ten prioritized indicators that states can use to monitor programs or activities for improving the preconception health status of women of reproductive age. This report includes overall and stratified estimates for nine of these preconception health indicators. REPORTING PERIOD: 2013-2015. DESCRIPTION OF SYSTEMS: Survey data from two surveillance systems are included in this report. The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing state-based, landline and cellular telephone survey of noninstitutionalized adults in the United States aged ≥18 years that is conducted by state and territorial health departments. BRFSS is the main source of self-reported data for states on health risk behaviors, chronic health conditions, and preventive health services primarily related to chronic disease in the United States. The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing U.S. state- and population-based surveillance system administered collaboratively by CDC and state health departments. PRAMS is designed to monitor selected maternal behaviors, conditions, and experiences that occur before, during, and shortly after pregnancy that are self-reported by women who recently delivered a live-born infant. This report summarizes BRFSS and PRAMS data on nine of 10 prioritized preconception health indicators (i.e., depression, diabetes, hypertension, current cigarette smoking, normal weight, recommended physical activity, recent unwanted pregnancy, prepregnancy multivitamin use, and postpartum use of a most or moderately effective contraceptive method) for which the most recent data are available. BRFSS data from all 50 states and the District of Columbia were used for six preconception health indicators: depression, diabetes (excluded if occurring only during pregnancy or if limited to borderline/prediabetes conditions), hypertension (excluded if occurring only during pregnancy or if limited to borderline/prehypertension conditions), current cigarette smoking, normal weight, and recommended physical activity. PRAMS data from 30 states, the District of Columbia, and New York City were used for three preconception health indicators: recent unwanted pregnancy, prepregnancy multivitamin use, and postpartum use of a most or moderately effective contraceptive method by women or their husbands or partners (i.e., male or female sterilization, hormonal implant, intrauterine device, injectable contraceptive, oral contraceptive, hormonal patch, or vaginal ring). Heavy alcohol use during the 3 months before pregnancy also was included in the prioritized set of 10 indicators, but PRAMS data for each reporting area are not available until 2016 for that indicator. Therefore, estimates for heavy alcohol use are not included in this report. All BRFSS preconception health estimates are based on 2014-2015 data except two (hypertension and recommended physical activity are based on 2013 and 2015 data). All PRAMS preconception health estimates rely on 2013-2014 data. Prevalence estimates of indicators are reported for women aged 18-44 years overall, by age group, race-ethnicity, health insurance status, and reporting area. Chi-square tests were conducted to assess differences in indicators by age group, race/ethnicity, and insurance status. RESULTS: During 2013-2015, prevalence estimates of indicators representing risk factors were generally highest and prevalence estimates of health-promoting indicators were generally lowest among older women (35-44 years), non-Hispanic black women, uninsured women, and those residing in southern states. For example, prevalence of ever having been told by a health care provider that they had a depressive disorder was highest among women aged 35-44 years (23.1%) and lowest among women aged 18-24 years (19.2%). Prevalence of postpartum use of a most or moderately effective method of contraception was lowest among women aged 35-44 years (50.6%) and highest among younger women aged 18-24 years (64.9%). Self-reported prepregnancy multivitamin use and getting recommended levels of physical activity were lowest among non-Hispanic black women (21.6% and 42.8%, respectively) and highest among non-Hispanic white women (37.8% and 53.8%, respectively). Recent unwanted pregnancy was lowest among non-Hispanic white women and highest among non-Hispanic black women (5.0% and 11.6%, respectively). All but three indicators (diabetes, hypertension, and use of a most or moderately effective contraceptive method) varied by insurance status; for instance, prevalence of current cigarette smoking was higher among uninsured women (21.0%) compared with insured women (16.1%), and prevalence of normal weight was lower among women who were uninsured (38.6%), compared with women who were insured (46.1%). By reporting area, the range of women reporting ever having been told by a health care provider that they had diabetes was 5.0% (Alabama) to 1.9% (Utah), and women reporting ever having been told by a health care provider that they had hypertension ranged from 19.2% (Mississippi) to 7.0% (Minnesota). INTERPRETATION: Preconception health risk factors and health-promoting indicators varied by age group, race/ethnicity, insurance status, and reporting area. These disparities highlight subpopulations that might benefit most from interventions that improve preconception health. PUBLIC HEALTH ACTION: Eliminating disparities in preconception health can potentially reduce disparities in two of the leading causes of death in early and middle adulthood (i.e., heart disease and diabetes). Public health officials can use this information to provide a baseline against which to evaluate state efforts to improve preconception health.

Core state preconception health indicators - pregnancy risk assessment monitoring system and behavioral risk factor surveillance system, 2009.

PROBLEM/CONDITION: Promoting preconception health can potentially improve women's health and pregnancy outcomes. Evidence-based interventions exist to reduce many maternal behaviors and chronic conditions that are associated with adverse pregnancy outcomes such as tobacco use, alcohol use, inadequate folic acid intake, obesity, hypertension, and diabetes. The 2006 national recommendations to improve preconception health included monitoring improvements in preconception health by maximizing public health surveillance (CDC. Recommendations to improve preconception health and health care-United States: a report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. MMWR 2006;55[No. RR-6]). REPORTING PERIOD COVERED: 2009 for 38 indicators; 2008 for one indicator. DESCRIPTION OF SURVEILLANCE SYSTEMS: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing state- and population-based surveillance system designed to monitor selected self-reported maternal behaviors, conditions, and experiences that occur shortly before, during, and after pregnancy among women who deliver live-born infants. The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing state-based telephone survey of noninstitutionalized adults aged ≥18 years in the United States that collects state-level data on health-related risk behaviors, chronic conditions, and preventive health services. This surveillance summary includes PRAMS data from 29 reporting areas (n = 40,388 respondents) and BRFSS data from 51 reporting areas (n = 62,875 respondents) for nonpregnant women of reproductive age (aged 18-44 years). To establish a comprehensive, nationally recognized set of indicators to be used for monitoring, evaluation, and response, a volunteer group of policy and program leaders and epidemiologists identified 45 core state preconception health indicators, of which 41 rely on PRAMS or BRFSS as data sources. This report includes 39 of the 41 core state preconception health indicators for which data are available through PRAMS or BRFSS. The two indicators from these data sources that are not described in this report are human immunodeficiency virus (HIV) testing within a year before the most recent pregnancy and heavy drinking on at least one occasion during the preceding month. Ten preconception health domains are examined: general health status and life satisfaction, social determinants of health, health care, reproductive health and family planning, tobacco and alcohol use, nutrition and physical activity, mental health, emotional and social support, chronic conditions, and infections. Weighted prevalence estimates and 95% confidence intervals (95% CIs)for 39 indicators are presented overall and for each reporting area and stratified by age group (18-24, 25-34, and 35-44 years) and women's race/ethnicity (non-Hispanic white, non-Hispanic black, non-Hispanic other, and Hispanic). RESULTS: This surveillance summary includes data for 39 of 41 indicators: 2009 data for 23 preconception health indicators that were monitored by PRAMS and 16 preconception health indicators that were monitored by BRFSS (one BRFSS indicator uses 2008 data). For two of the indicators that are included in this report (prepregnancy overweight or obesity and current overweight or obesity), separate measures of overweight and obesity were reported. All preconception health indicators varied by reporting area, and most indicators varied significantly by age group and race/ethnicity. Overall, 88.9% of women of reproductive age reported good, very good, or excellent general health status and life satisfaction (BRFSS). A high school/general equivalency diploma or higher education (social determinants of health domain) was reported by 94.7% of non-Hispanic white, 92.9% of non-Hispanic other, 91.1% of non-Hispanic black, and 70.9% of Hispanic women (BRFSS). Overall, health-care insurance coverage during the month before the most recent pregnancy (health-care domain) was 74.9% (PRAMS). A routine checkup during the preceding year was reported by 79.0% of non-Hispanic black, 65.1% of non-Hispanic white, 64.3% of other, and 63.0% of Hispanic women (BRFSS). Among women with a recent live birth (2-9 months since date of delivery), selected PRAMS results for the reproductive health and family planning, tobacco and alcohol use, and nutrition domains included several factors. Although 43% of women reported that their most recent pregnancy was unintended (unwanted or wanted to be pregnant later), approximately half (53%) of those who were not trying to get pregnant reported not using contraception at the time of conception. Smoking during the 3 months before pregnancy was reported by 25.1% of women, and drinking alcohol 3 months before pregnancy was reported by 54.2% of women. Daily use of a multivitamin, prenatal vitamin, or a folic acid supplement during the month before pregnancy was reported by 29.7% of women. Selected BRFSS results included indicators pertaining to the nutrition and physical activity, emotional and social support, and chronic conditions domains among women of reproductive age. Approximately one fourth (24.7%) of women were identified as being obese according to body mass index (BMI) on the basis of self-reported height and weight. Overall, 51.6% of women reported participation in recommended levels of physical activity per U.S. Department of Health and Human Services physical activity guidelines. Non-Hispanic whites reported the highest prevalence (85.0%) of having adequate emotional and social support, followed by other races/ethnicities (74.9%), Hispanics (70.5%), and non-Hispanic blacks (69.7%). Approximately 3.0% of persons reported ever being diagnosed with diabetes, and 10.2% of women reported ever being diagnosed with hypertension. INTERPRETATION: The findings in this report underscore opportunities for improving the preconception health of U.S. women. Preconception health and women's health can be improved by reducing unintended pregnancies, reducing risky behaviors (e.g., smoking and drinking) among women of reproductive age, and ensuring that chronic conditions are under control. Evidence-based interventions and clinical practice guidelines exist to address these risks and to improve pregnancy outcomes and women's health in general. The results also highlight the need to increase access to health care for all nonpregnant women of reproductive age and the need to encourage the use of essential preventive services for women, including preconception health services. In addition, system changes in community settings can alleviate health problems resulting from inadequate social and emotional support and environments that foster unhealthy lifestyles. Policy changes can promote health equity by encouraging environments that promote healthier options in nutrition and physical activity. Finally, variation in the preconception health status of women by age and race/ethnicity underscores the need for implementing and scaling up proven strategies to reduce persistent health disparities among those at highest risk. Ongoing surveillance and research in preconception health are needed to monitor the influence of improved health-care access and coverage on women's prepregnancy and interpregnancy health status, pregnancy and infant outcomes, and health disparities. PUBLIC HEALTH ACTION: Public health decision makers, program planners, researchers, and other key stakeholders can use the state-level PRAMS and BRFSS preconception health indicators to benchmark and monitor preconception health among women of reproductive age. These data also can be used to evaluate the effectiveness of preconception health state and national programs and to assess the need for new programs, program enhancements, and policies.

The association between maternal alcohol use and smoking in early pregnancy and congenital cardiac defects.

BACKGROUND: Alcohol use is an extremely prevalent but preventable risk factor among women seeking to become pregnant. Many women continue to use alcohol in the early stages of pregnancy before they are aware they are pregnant. Research is unclear about the role of maternal alcohol use during pregnancy and congenital cardiac defects, one of the leading types of birth defects in the United States. METHODS: Data from the Pregnancy Risk Assessment Monitoring Survey (PRAMS) were used to examine maternal alcohol use and its association with congenital cardiac defects. Various measures of alcohol use in the 3 months prior to pregnancy, as well as smoking and other risk factors for congenital cardiac defects, were linked to birth certificate data for nine states over a 10-year period (1996-2005). In this case-control study, cases included infants with a congenital cardiac defect indicated on the birth certificate, and the control group consisted of healthy, normal weight infants with no indication of a congenital abnormality on their birth certificate. Complex samples logistic regression models were used to study the relationships between several measures of alcohol use, including binge drinking and binge drinking on more than once occasion, and the interaction between alcohol use and smoking with the odds of congenital cardiac defects. RESULTS: A significant increase in congenital cardiac defects was found among mothers who reported binge drinking more than once in the 3 months prior to pregnancy compared to mothers who did not report binge drinking (adjusted odds ratio [aOR] 2.99, 95% confidence interval [CI] 1.19-7.51). There was a significant interaction between any binge drinking or binge drinking more than once and cigarette use, which corresponded to a substancial increase in congenital cardiac defects (aOR 12.65, 95% CI 3.54-45.25 and aOR 9.45, 95% CI 2.53-35.31, respectively). CONCLUSIONS: Multiple episodes of maternal binge drinking in early pregnancy may increase the odds of congenital cardiac defects, and we found this relationship was more dramatic when combined with maternal smoking.

Core state preconception health indicators: a voluntary, multi-state selection process.

This report describes the consensus-based selection process undertaken by a voluntary committee of policy/program leaders and epidemiologists from seven states to identify core state indicators to monitor the health of reproductive age women (aged 18-44 years). Domains of preconception health were established based on priority areas within maternal and child health and women's health. Measures (i.e., potential indicators) addressing the domains were identified from population-based, state level data systems. Each indicator was evaluated on five criteria: public health importance, policy/program importance, data availability, data quality, and the complexity of calculating the indicator. Evaluations served as the basis for iterative voting, which was continued until unanimous consent or a super majority to retain or exclude each indicator was achieved. Eleven domains of preconception health were identified: general health status and life satisfaction; social determinants of health; health care; reproductive health and family planning; tobacco, alcohol and substance use; nutrition and physical activity; mental health; emotional and social support; chronic conditions; infections; and genetics/epigenetics. Ninety-six possible indicators were identified from which 45 core indicators were selected. The scope of preconception care and the public health components to address preconception health are still under development. Despite this challenge and other measurement limitations, preconception health and health care indicators are urgently needed. The proposed core indicators are a set of measures that all states can use to evaluate their preconception health efforts. Furthermore, the indicators serve as a basis for improving the surveillance of the health of reproductive age women.

Increased preeclampsia in mothers delivering very low-birth-weight infants between 1994 and 2006.

We sought to determine if there has been any change in the proportion of mothers with preeclampsia in a sample of very low-birth-weight (VLBW) infants over time. We performed a retrospective cohort study. Study sample included infants with birth weights 1500 g or less cared for from July 1994 to July 2006 ( n = 2045) from a single level 3 neonatal intensive care unit in Delaware. The main outcome examined was the occurrence of maternal preeclampsia over the study time. The proportion of mothers with preeclampsia delivering VLBW infants increased over time. After controlling for potential confounding variables, the odds of maternal preeclampsia were increased (1.3, 95% confidence interval 1.2 to 1.5) in infants born between 2003 and 2006 compared with those born between 1994 and 1997. In our population of VLBW infants, the proportion of mothers with the diagnosis of preeclampsia increased over time. From our investigation, we cannot determine if the increase in the proportion of mothers with preeclampsia is related to a true increase in the disease, changes in diagnostic surveillance, or other factors.

State infant mortality: an ecologic study to determine modifiable risks and adjusted infant mortality rates.

OBJECTIVE: To determine factors contributing to state infant mortality rates (IMR) and develop an adjusted IMR in the United States for 2001 and 2002. DESIGN/METHODS: Ecologic study of factors contributing to state IMR. State IMR for 2001 and 2002 were obtained from the United States linked death and birth certificate data from the National Center for Health Statistics. Factors investigated using multivariable linear regression included state racial demographics, ethnicity, state population, median income, education, teen birth rate, proportion of obesity, smoking during pregnancy, diabetes, hypertension, cesarean delivery, prenatal care, health insurance, self-report of mental illness, and number of in-vitro fertilization procedures. Final risk adjusted IMR's were standardized and states were compared with the United States adjusted rates. RESULTS: Models for IMR in individual states in 2001 (r2 = 0.66, P < 0.01) and 2002 (r2 = 0.81, P < 0.01) were tested. African-American race, teen birth rate, and smoking during pregnancy remained independently associated with state infant mortality rates for 2001 and 2002. Ninety five percent confidence intervals (CI) were calculated around the regression lines to model the expected IMR. After adjustment, some states maintained a consistent IMR; for instance, Vermont and New Hampshire remained low, while Delaware and Louisiana remained high. However, other states such as Mississippi, which have traditionally high infant mortality rates, remained within the expected 95% CI for IMR after adjustment indicating confounding affected the initial unadjusted rates. CONCLUSIONS: Non-modifiable demographic variables, including the percentage of non-Hispanic African-American and Hispanic populations of the state are major factors contributing to individual variation in state IMR. Race and ethnicity may confound or modify the IMR in states that shifted inside or outside the 95% CI following adjustment. Other factors including smoking during pregnancy and teen birth rate, which are potentially modifiable, significantly contributed to differences in state IMR. State risk adjusted IMR indicate that other factors impact infant mortality after adjustment by race/ethnicity and other risk factors.

A population study of the contribution of medical comorbidity to the risk of prematurity in blacks.

OBJECTIVE: The purpose of this study was to test the hypothesis that the higher prevalence of medical comorbidities among black women accounts for their increased risk of prematurity. STUDY DESIGN: A population-based regional cohort of women receiving obstetric care for singleton pregnancies at a large community hospital between 2003 and 2006 were analyzed using univariate and multivariable logistic regression. RESULTS: Data for 18,624 consecutive births found increased odds of adverse outcomes for black compared to white women: prematurity OR = 1.6 (1.4-1.8), extreme prematurity OR = 2.5 (2.0-3.2). Logistic regression modeling identified black race, age < 20, preconception diabetes and hypertension, smoking, underweight, and gestational hypertension as the greatest risks for adverse outcomes. Controlling for these risks did not attenuate the higher risk for prematurity among blacks. CONCLUSION: Though there is a greater burden of health risk among black women, this did not account for the higher rates of low birthweight and prematurity.