State Experiences Linking Medicaid Data With Birth Certificates and Other Data Sources.

BACKGROUND: Many states link Medicaid claims with birth certificates or other data, often to inform programs and policies aimed at improving maternal and child health (MCH). OBJECTIVES: To develop an up-to-date understanding of the extent of the use of linked Medicaid claims for MCH research by state. RESEARCH DESIGN: We completed a structured literature review, developed an inventory of linkage efforts, and facilitated semistructured discussions with representatives from 9 states with established Medicaid claims data linkages to understand the technical details of linkages, experiences creating and maintaining linkages, and barriers or facilitators to establishing linkages. RESULTS: We identified 45 peer-reviewed journal articles representing 22 states that used linked Medicaid data to study MCH and 33 states and territories that publicly report on Medicaid data linkages for a total of 39 states with any in-scope linkage. Discussions revealed that linkages often arose from the desire to answer a specific question or evaluate a program but then expanded to other use cases and that most states enable external researchers to access data for analysis. Respondents provided a few examples of where linked birth certificate data were used for health outcomes research. CONCLUSION: Additional resources including technical assistance for identifying best practices along with interagency collaboration could overcome barriers and facilitate a coordinated and consolidated approach across states.

An Evaluation of Syndromic Surveillance-Related Practices Among Selected State and Local Health Agencies.

CONTEXT: Syndromic surveillance consists of the systematic collection and use of near real-time data about health-related events for situational awareness and public health action. As syndromic surveillance programs continue to adopt new technologies and expand, it is valuable to evaluate these syndromic surveillance systems and practices to ensure that they meet public health needs. OBJECTIVE: This assessment's aim is to provide recent information about syndromic surveillance systems and practice characteristics among a group of state and local health departments. DESIGN/SETTING: Information was obtained between November 2017 and June 2018 through a telephone survey using an Office of Management and Budget-approved standardized data collection tool. Participants were syndromic surveillance staff from each of 31 state and local health departments participating in the National Syndromic Surveillance Program funded by the Centers for Disease Control and Prevention. Questions included jurisdictional experience, data sources and analysis systems used, syndromic system data processing characteristics, data quality verification procedures, and surveillance activities conducted with syndromic data. MEASURES: Practice-specific information such as types of systems and data sources used for syndromic surveillance, data quality monitoring, and uses of data for public health situational awareness (eg, investigating occurrences of or trends in diseases). RESULTS: The survey analysis revealed a wide range of experiences with syndromic surveillance. Participants reported the receipt of data daily or more frequently. Emergency department data were the primary data source; however, other data sources are being integrated into these systems. All health departments routinely monitored data quality. Syndromes of highest priority across the respondents for health events monitoring were influenza-like illness and drug-related syndromes. However, a wide variety of syndromes were reported as priorities across the health departments. CONCLUSION: Overall, syndromic surveillance was relevantly integrated into the public health surveillance infrastructure. The near real-time nature of the data and its flexibility to monitor different types of health-related issues make it especially useful for public health practitioners. Despite these advances, syndromic surveillance capacity, locally and nationally, must continue to evolve and progress should be monitored to ensure that syndromic surveillance systems and data are optimally able to meet jurisdictional needs.

Use of secondary contraception following vasectomy: insights from the Pregnancy Risk Assessment Monitoring System, 2007-2011.

BACKGROUND: To assess postpartum use of secondary contraception with vasectomy within Pregnancy Risk Assessment Monitoring System (PRAMS). METHODS: Secondary contraception and type of method used were assessed among married women reporting partner vasectomy 4 months after a recent live birth in female residents of 15 US states and New York City who participated in the 2007-2011 PRAMS. RESULTS: Between 2007 and 2011, 1,004 married women who had a recent live birth participating in PRAMS reported they and their partners relied on vasectomy for postpartum contraception. Among these couples, 57.8% reported not using additional forms of contraception postpartum. Of those reporting additional contraception, condoms were most commonly used (50.0%), followed by oral contraceptive pills (26.5%), and withdrawal (9.5%). Multivariable modeling showed that use of secondary contraception was twice as high among women reporting a second birth versus women reporting a fourth or higher birth [adjusted prevalence odds ratio (POR) =2.0 (1.1-3.2)]. No other sociodemographic characteristics (maternal age, maternal race, parental education, household income) were significantly associated with use of secondary contraception with vasectomy. CONCLUSIONS: Most couples within PRAMS reporting partner vasectomy as postpartum contraception did not use secondary contraception in the months immediately after vasectomy, and, of those who did, most relied on less effective methods. Clinicians need to better understand reasons for limited use of secondary contraception with vasectomy to improve counseling strategies for reducing unintended pregnancy.

Risks Factors and Treatment Use Related to Infertility and Impaired Fecundity Among Reproductive-Aged Women.

INTRODUCTION: Population-level data on infertility and impaired fecundity are sparse. We explored the use of self-reported information provided by reproductive-aged women participating in the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System (BRFSS). MATERIALS AND METHODS: Three out of 12 questions on reproductive history, family planning, and infertility that seven states included in the 2013 BRFSS were used for this study. In addition to descriptive statistics, we used multinomial logistic regression to identify factors associated with ever experiencing infertility only, difficulty staying pregnant only, and neither infertility nor difficulty staying pregnant. We also explored the association between healthcare coverage and type of treatment received among women ever experiencing infertility only or difficulty staying pregnant only. RESULTS: Compared with women reporting having never experienced either infertility or difficulty staying pregnant, women who reported ever experiencing difficulty staying pregnant only were significantly more likely to report a history of depressive disorders and smoking (adjusted odds ratio [aOR] = 1.69, 95% confidence interval [CI] = 1.07-2.68 and aOR = 1.98, 95% CI = 1.22-3.20, respectively). Women who ever experienced infertility only were also more likely to report a history of depressive disorders (aOR = 2.02, 95% CI = 1.14-3.59), but less likely to report healthcare coverage (aOR = 0.26, 95% CI = 0.14-0.46). Only 18.9% (95% CI = 11.4-29.9) of women who ever experienced difficulty staying pregnant only reported seeking infertility treatment compared with 49.6% (95% CI = 34.9-64.4) of women who ever experienced infertility only. CONCLUSIONS: Ongoing public health surveillance systems of state-specific self-reported data, such as BRFSS, provide the opportunity to explore preventable risk factors and treatment use related to infertility and impaired fecundity.

Behavioral Risk Factor Surveillance System State-Added Questions: Leveraging an Existing Surveillance System to Improve Knowledge of Women's Reproductive Health.

As the prevalence of chronic conditions among women of reproductive age continues to rise, studies assessing the intersection of chronic disease and women's reproductive health status are increasingly needed. However, many data systems collect only limited information on women's reproductive health, thereby hampering the appraisal of risk and protective factors across the life span. One way to expand the study of women's health with minimal investment in time and resources is to integrate questions on reproductive health into existing surveillance systems. In 2013, previously validated questions on women's self-reported reproductive history, use of contraception, and infertility were added to the Behavioral Risk Factor Surveillance System (BRFSS) by seven states (Connecticut, Kentucky, Massachusetts, Mississippi, Ohio, Texas, and Utah); all female respondents aged 18-50 years were included in the pool of respondents for these state-added questions. Of 8691 women who completed the questions, 13.2% reported ever experiencing infertility and 59.8% of those at risk for unintended pregnancy reported using contraception at last intercourse. The information garnered from the state-added reproductive health questions can be augmented with the BRFSS core questions on health-related risk behaviors, chronic conditions, and use of preventive services. Expanding existing data collection systems with supplemental questions on women's reproductive health can provide important information on risk factors and outcomes that may not be available from other sources.

Patterns of Health Insurance Coverage Around the Time of Pregnancy Among Women with Live-Born Infants--Pregnancy Risk Assessment Monitoring System, 29 States, 2009.

PROBLEM/CONDITION: In 2009, before passage of the 2010 Patient Protection and Affordable Care Act (ACA), approximately 20% of women aged 18-64 years had no health insurance coverage. In addition, many women experienced transitions in coverage around the time of pregnancy. Having no health insurance coverage or experiencing gaps or shifts in coverage can be a barrier to receiving preventive health services and treatment for health problems that could affect pregnancy and newborn health. With the passage of ACA, women who were previously uninsured or had insurance that provided inadequate coverage might have better access to health services and better coverage, including additional preventive services with no cost sharing. Because certain elements of ACA (e.g., no lifetime dollar limits, dependent coverage to age 26, and provision of preventive services without cost sharing) were implemented as early as September 2010, data from 2009 can be used as a baseline to measure the incremental impact of ACA on the continuity of health care coverage for women around the time of pregnancy. REPORTING PERIOD COVERED: 2009. DESCRIPTION OF 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 shortly after pregnancy among women who deliver live-born infants in selected U.S. states and New York City, New York. PRAMS uses mixed-mode data collection, in which up to three self-administered surveys are mailed to a sample of mothers, and those who do not respond are contacted for telephone interviews. Self-reported survey data are linked to birth certificate data and weighted for sample design, nonresponse, and noncoverage. Annual PRAMS data sets are created and used to produce statewide estimates of preconception and perinatal health behaviors and experiences in selected states and New York City. This report summarizes data from 29 states that conducted PRAMS in 2009, before the passage of ACA, and achieved an overall weighted response rate of ≥65%. Data on the prevalence of health insurance coverage stability (stable coverage, unstable coverage, and uninsured) across three time periods (the month before pregnancy, during pregnancy, and at the time of delivery) are reported by state and selected maternal characteristics. Women with stable coverage had the same type of health insurance (private or Medicaid) for all three time periods. Women with unstable coverage experienced a change in health insurance coverage between any of the three time periods. This includes movement from having no insurance coverage to gaining coverage, movement from one type of coverage to another, and loss of coverage. Women in the uninsured group had no insurance coverage during any of the three time periods. Estimates for health insurance stability across the three time periods and estimates of coverage during each time period are presented by state. Patterns of movement between the different types of health insurance coverage among women with unstable coverage are described by state and selected maternal characteristics. RESULTS: In 2009, 30.1% of women who had a live birth experienced changes in health insurance coverage in the period between the month before pregnancy and the time of delivery, either because they lacked coverage at some point or because they moved between different types of coverage. Most women had stable coverage across the three time periods, reporting either private coverage (52.8%) or Medicaid coverage (16.1%) throughout. A small percentage of women (1.1%) reported having no health insurance coverage at any point. Overall, Medicaid coverage increased from 16.6% in the month before pregnancy to 43.9% at delivery. Private coverage decreased from 59.9% in the month before pregnancy to 54.6% at delivery. The percentage of women who were uninsured decreased from 23.4% in the month before pregnancy to 1.5% at the time of delivery. Among those who experienced changes in coverage, 74.4% reported having no insurance the month before pregnancy, 23.9% reported having private insurance, and 1.8% reported having Medicaid. Among those who started out uninsured before pregnancy, 70.2% reported Medicaid coverage, and 4.1% reported private coverage at the time of delivery. Among those who started out with private coverage, 21.3% reported Medicaid coverage at delivery, and 1.4% reported being uninsured. As a result of these transitions in health insurance coverage, 92.4% of all women who experienced a change in health insurance around the time of pregnancy reported Medicaid coverage at delivery. No women with unstable coverage who started out without insurance in the month before pregnancy reported being uninsured at the time of delivery. Women who reported unstable coverage were more likely to be young (aged <35 years), be a minority (black, Hispanic, or American Indian/Alaska Native), have a high school education or less, be unmarried, have incomes ≤200% of the federal poverty level (FPL), or have an unintended pregnancy compared with women with stable private coverage. Compared with women with stable Medicaid coverage, women with unstable coverage were more likely to be Hispanic but less likely to be teenagers (aged ≤19 years), be black, have a high school education or less, have incomes ≤200% of the FPL, or have an unintended pregnancy. Women with unstable coverage were more likely than women in either stable coverage group (private or Medicaid) to report entering prenatal care after the first trimester. INTERPRETATION: In 2009, nearly one third of women reported lacking health insurance or transitioning between types of health insurance coverage around the time of pregnancy. The majority of women who changed health insurance status obtained coverage for prenatal care, delivery, or both through Medicaid. Health insurance coverage during pregnancy can help facilitate access to health care and allow for the identification and treatment of health-related issues; however, prenatal coverage might be too late to prevent the consequences of preexisting conditions and preconception exposures that could affect maternal and infant health. Continuous access to health insurance and health care for women of reproductive age could improve maternal and infant health by providing the opportunity to manage or treat conditions that are present before and between pregnancies. PUBLIC HEALTH ACTION: PRAMS data can be used to identify patterns of health insurance coverage among women around the time of pregnancy. Removing barriers to obtaining health insurance for women who lack coverage, particularly before pregnancy, could improve the health of women and their infants. The findings in this report can be used by public health professionals, policy analysts, and others to monitor health insurance coverage for women around the time of pregnancy. In particular, 2009 state-specific data can serve as baseline information to assess and monitor changes in health insurance coverage since the passage of ACA.

Implementation science and the pregnancy risk assessment monitoring system.

This paper describes the restructuring of the Pregnancy Risk Assessment Monitoring System (PRAMS), a surveillance system of the Centers for Disease Control and Prevention (CDC)'s Division of Reproductive Health conducted for 25 years in collaboration with state and city health departments. With the ultimate goal to better inform health care providers, public health programs, and policy, changes were made to various aspects of PRAMS to enhance its capacity on assessing and monitoring public health interventions and clinical practices in addition to risk behaviors, disease prevalence, comorbidities, and service utilization. Specifically, the three key PRAMS changes identified as necessary and described in this paper are questionnaire revision, launching the web-based centralized PRAMS Integrated Data Collection System, and enhancing the access to PRAMS data through the web query system known as Centers for Disease Control and Prevention's PRAMS Online Data for Epidemiologic Research/PRAMStat. The seven action steps of Knowledge To Action cycle, an illustration of the implementation science process, that reflect the milestones necessary in bridging the knowledge-to-action gap were used as framework for each of these key changes.

Using the principles of complex systems thinking and implementation science to enhance maternal and child health program planning and delivery.

Traditionally, epidemiologic methodologies have focused on measurement of exposures, outcomes, and program impact through reductionistic, yet complex statistical modeling. Although not new to the field of epidemiology, two frameworks that provide epidemiologists with a foundation for understanding the complex contexts in which programs and policies are implemented were presented to maternal and child health (MCH) professionals at the 2012 co-hosted 18th Annual MCH Epidemiology Conference and 22nd CityMatCH Urban Leadership Conference. The complex systems approach offers researchers in MCH the opportunity to understand the functioning of social, medical, environmental, and behavioral factors within the context of implemented public health programs. Implementation science provides researchers with a framework to translate the evidence-based program interventions into practices and policies that impact health outcomes. Both approaches offer MCH epidemiologists conceptual frameworks with which to re-envision how programs are implemented, monitored, evaluated, and reported to the larger public health audience. By using these approaches, researchers can begin to understand and measure the broader public health context, account for the dynamic interplay of the social environment, and ultimately, develop more effective MCH programs and policies.

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.

Maternal characteristics and pregnancy outcomes after assisted reproductive technology by infertility diagnosis: ovulatory dysfunction versus tubal obstruction.

OBJECTIVE: To examine differences in maternal characteristics and pregnancy outcomes between women with ovulatory dysfunction (OD) and women with tubal obstruction (TO) who underwent assisted reproductive technology (ART). DESIGN: Retrospective cohort study. SETTING: Centers for Disease Control and Prevention. PATIENT(S): Exposed and nonexposed groups were selected from the 2000-2006 National ART Surveillance System linked with live-birth certificates from three states: Florida, Massachusetts, and Michigan. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Maternal characteristics and pregnancy outcomes, including newborn's health status right after delivery (Apgar score, <7 vs. ≥ 7) as the study outcome of interest, were assessed among women with OD/polycystic ovary syndrome (PCOS) and TO who used ART. RESULT(S): A significantly higher prevalence of women with OD/PCOS were younger (<35 years of age; 65.7% vs. 48.9%), were white (85.4% vs. 74.4%), had higher education (29.4% vs. 15.6%), and experienced diabetes (8.8% vs. 5.3%) compared with those having TO. The odds of having a lower (<7) Apgar score at 5 minutes were almost twice as high among newborns of women with OD/PCOS compared with those with TO (crude odds ratio, 1.86; 95% confidence interval [CI], 1.31, 2.64; adjusted odds ratio, 1.90; 95% CI, 1.30, 2.77). CONCLUSION(S): Women with OD/PCOS who underwent ART have different characteristics and health issues (higher prevalence of diabetes) and infant outcomes (lower Apgar score) compared with women with TO.

States Monitoring Assisted Reproductive Technology (SMART) Collaborative: data collection, linkage, dissemination, and use.

Assisted reproductive technology (ART) refers to fertility treatments in which both eggs and sperm are handled outside the body. The Centers for Disease Control and Prevention (CDC) oversees the National ART Surveillance System (NASS), which collects data on all ART procedures performed in the United States. The NASS, while a comprehensive source of data on ART patient demographics and clinical procedures, includes limited information on outcomes related to women's and children's health. To examine ART-related health outcomes, CDC and three states (Massachusetts, Florida, and Michigan) established the States Monitoring ART (SMART) Collaborative to evaluate maternal and perinatal outcomes of ART and improve state-based ART surveillance. To date, NASS data have been linked with states' vital records, disease registries, and hospital discharge data with a linkage rate of 90.2%. The probabilistic linkage methodology used in the SMART Collaborative has been validated and found to be both accurate and efficient. A wide breadth of applied research within the Collaborative is planned or ongoing, including examinations of the impact of insurance mandates on ART use as well as the relationships between ART and birth defects and cancer, among others. The SMART Collaborative is working to improve state-based ART surveillance by developing state surveillance plans, establishing partnerships, and conducting data analyses. The SMART Collaborative has been instrumental in creating linked datasets and strengthening epidemiologic and research capacity for improving maternal and infant health programs and evaluating the public health impact of ART.

Neonatal withdrawal syndrome, Michigan, 2000-2009.

BACKGROUND: Neonatal withdrawal syndrome, which is associated most frequently with opioid use in pregnancy, is an emerging public health concern, with recent studies documenting an increase in the rate of U.S. infants diagnosed. PURPOSE: This study examined neonatal withdrawal syndrome diagnosis among Michigan infants from 2000 to 2009 and hospital length of stay (LOS) between infants with and without the syndrome for a subset of years (2006-2009). METHODS: Michigan live birth records from 2000 to 2009 were linked with hospital discharge data to identify infants with neonatal withdrawal syndrome. Linked data were restricted to infants born between 2006 and 2009 to examine the difference in hospital LOS between infants with and without the syndrome. Multivariable regression models were constructed to examine the adjusted impact of syndrome diagnosis on infant LOS and fit using negative binomial distribution. Data were analyzed from July 2011 to February 2012. RESULTS: From 2000 to 2009, the overall birth rate of infants with neonatal withdrawal syndrome increased from 41.2 to 289.0 per 100,000 live births (p<0.0001). Among infants born from 2006 to 2009, the average hospital LOS for those with the syndrome was between 1.36 (95% CI=1.24, 1.49) and 5.75 (95% CI=5.41, 6.10) times longer than for infants without it. CONCLUSIONS: Diagnosis of neonatal withdrawal syndrome increased significantly in Michigan with infants who had the syndrome requiring a significantly longer LOS compared to those without it.

Revival of a core public health function: state- and urban-based maternal death review processes.

This article reviews some of the current challenges for maternal death review in the United States, describes key findings from an assessment of U.S. capacity for conducting maternal death reviews, and introduces a new Maternal Mortality Initiative that aims to develop standardized guidelines for state- or city-based maternal deaths review processes.

Transient hypothyroidism at 3-year follow-up among cases of congenital hypothyroidism detected by newborn screening.

OBJECTIVE: To investigate the rate of transient thyroid deficiency and treatment compliance among cases with congenital hypothyroidism diagnosed and followed-up after age 3 years by newborn screening (NBS). STUDY DESIGN: Cases detected by Michigan NBS between October 1, 2003, and December 31, 2007, and followed-up after age 3 years were included. The χ(2) and Fisher exact tests were used to test differences among followed and lost cases. Logistic regression models were used to investigate predictors of treatment cessation. RESULTS: Roughly 45% of eligible cases were lost to follow-up, and disease state (transient or permanent congenital hypothyroidism) could not be determined for 12 cases (7.9%). Of the 72 followed cases, 34 (47%) were considered permanent congenital hypothyroidism based on thyroid imaging findings (n = 7) or an increase in medication dosage over time (n = 27). One-quarter of followed cases with congenital hypothyroidism were no longer being treated, and of these, just over 83% stopped treatment without medical supervision. Of 23 cases that underwent a medically supervised trial without thyroid hormone medication, treatment was reinstated in 20. Laboratory confirmation of euthyroidism was available for 6 of 18 cases clinically deemed transient. After adjustment, black race was the strongest predictor of treatment cessation (OR, 9.86; 95% CI, 1.82-53.31). Treatment cessation was also more common among low birth weight infants and those admitted to the neonatal intensive care unit at birth. CONCLUSION: We recommend that NBS programs include long-term follow-up through at least age 3 years to determine treatment compliance and disease permanence. Further research is needed to determine ideal follow-up program operations and reassessment methods for congenital hypothyroidism disease permanence. Guidelines that provide evidence-based reassessment methods would be beneficial for the healthcare providers of children with congenital hypothyroidism.

Performance metrics after changes in screening protocol for congenital hypothyroidism.

OBJECTIVE: To evaluate Michigan newborn screening for congenital hypothyroidism (CH) protocol changes. METHODS: This population-based study includes infants born and screened in Michigan (January 1, 1994-June 30, 2010). Screening performance is compared across 4 periods defined by the dried blood spot testing method: (1) thyroxine (T4) with backup thyrotropin, (2) tandem T4 and thyrotropin, (3) primary thyrotropin testing without serial testing, and (4) primary thyrotropin plus serial testing for births weighing <1800 g. Logistic regression is used to test for differences across periods. RESULTS: Thyrotropin testing exhibited greater specificity overall and greater likelihood of detection with serial testing relative to primary T4 testing. Tandem T4 and thyrotropin testing appeared more sensitive relative to other protocols, yet it produced significantly more false-positives, and detection may have been affected by overdiagnosis and misclassification. Central CH was no longer detected once T4 testing ceased. CONCLUSIONS: Primary thyrotropin plus serial testing for infants at risk for later rising thyrotropin outperformed other newborn screening strategies for classic CH, although 2 false-negatives occurred among normal birth weight infants admitted to the NICU during this testing period. Tandem T4 and thyrotropin screening outperformed other strategies for detection of both classic and central CH combined, although it is associated with increased operating costs. Additional research is necessary to weigh the benefits of increased sensitivity against additional program operating costs.

Obesity, assisted reproductive technology, and early preterm birth--Florida, 2004-2006.

Florida resident birth certificates for 2004-2006 were linked to the Centers for Disease Control and Prevention's National ART Surveillance System and were used to investigate 1) whether the association of assisted reproductive technology (ART) with preterm birth varies by prepregnancy body mass index and 2) whether the association varies by plurality. Preterm birth was defined as early preterm birth (gestation <34 weeks) and late preterm birth (gestation 34-36 weeks). Descriptive statistics and multinomial logistic regression were used to explore maternal and infant differences by ART status and plurality. Of 581,403 women included in the study, 24.0% were overweight, 18.6% were obese, 7.3% had late preterm birth, 2.6% had early preterm birth, and 0.67% conceived through ART. Among singleton births, ART was associated with increased early preterm birth risk among underweight (odds ratio (OR) = 2.94, 95% confidence interval (CI): 1.27, 6.81), overweight (OR = 1.75, 95% CI: 1.12, 2.72), and obese (OR = 2.37, 95% CI: 1.51, 3.71) women. Among twins, ART was significantly associated with increased risk among overweight (OR = 1.61, 95% CI: 1.12, 2.32) and obese (OR = 1.85, 95% CI: 1.18, 2.90) women. Differences in the associations between ART and early preterm birth by body mass index and plurality warrant further investigation.

Impact of fetal death reporting requirements on early neonatal and fetal mortality rates and racial disparities.

OBJECTIVE: Racial disparities in infant and neonatal mortality vary substantially across the U.S. with some states experiencing wider disparities than others. Many factors are thought to contribute to these disparities, but state differences in fetal death reporting have received little attention. We examined whether such reporting requirements may explain national variation in neonatal and fetal mortality rates and racial disparities. METHODS: We used data on non-Hispanic white and non-Hispanic black infants from the U.S. 2000-2002 linked birth/infant death and fetal death records to determine the degree to which state fetal death reporting requirements explain national variation in neonatal and fetal mortality rates and racial disparities. States were grouped depending upon whether they based the lower limit for fetal death reporting on birthweight alone, gestational age alone, both birthweight and gestational age, or required reporting of all fetal deaths. Traditional methods and the fetuses-at-risk approach were used to calculate mortality rates, 95% confidence intervals, and relative and absolute racial disparity measures in these four groups. RESULTS: States with birthweight-alone fetal death thresholds substantially underreported fetal deaths at lower gestations and slightly overreported neonatal deaths at older gestations. This finding was reflected by these states having the highest neonatal mortality rates and disparities, but the lowest fetal mortality rates and disparities. CONCLUSIONS: Using birthweight alone as a reporting threshold may promote some shift of fetal deaths to newborn deaths, contributing to racial disparities in neonatal mortality. The adoption of a uniform national threshold for reporting fetal deaths could reduce systematic differences in live birth and fetal death reporting.

Does medical insurance type (private vs public) influence the physician's decision to perform Caesarean delivery?

INTRODUCTION: US data reveal a Caesarean rate discrepancy between insured and uninsured patients, with the C-section rate highest among the privately insured. The data have prompted concern that financial incentives associated with insurance status might influence American physicians' decisions to perform Caesarean deliveries. OBJECTIVE: To determine whether differences in medical risk factors account for the apparent Caesarean rate discrepancy between Medicaid and privately insured patients in Michigan, USA. METHOD: A retrospective review was performed of 617 269 live birth deliveries in Michigan hospitals during 2004-8. All live birth records that were able to be linked to their mothers' hospital discharge records were utilised. Diagnosis-related group codes from the hospitalisation records were used to identify Caesarean deliveries. Regression models determined Caesarean probability for the time period under study, adjusted for insurance type, maternal age, race, maternal medical conditions, multiple births, prematurity and birth weight. RESULTS: From 2004 to 2008, Caesarean rates were 33% for privately insured patients and 29% for Medicaid patients. The probability of Caesarean delivery was significantly greater for privately insured than Medicaid patients on univariate analysis (OR 1.2, 95% CI 1.19 to 1.22) but not on multivariate analysis (adjusted OR 1.01, 95% CI 0.99 to 1.02). CONCLUSION: No significant disparity was found in the odds of Caesarean delivery between privately insured and Medicaid patients in Michigan after adjusting for other Caesarean risk factors. A positive disparity would have provided de facto evidence that financial incentives play a role in physician decision-making regarding Caesarean delivery.

False-positive newborn screening result and future health care use in a state Medicaid cohort.

OBJECTIVE: To compare health care visit rates between infants with false-positive and those with normal newborn screening (NBS) results. PATIENTS AND METHODS: We analyzed administrative claims of Medicaid-enrolled infants born in Michigan in 2006 and calculated the average number of outpatient, emergency department, and hospital visits for infants aged 3 to 12 months according to NBS results. We calculated an adjusted incidence rate ratio for each visit category, adjusting for covariates and accounting for interaction effects. RESULTS: Of the 49,959 infants in the analysis, 818 had a false-positive NBS result. We noted a significant interaction between gestational age and NBS results. We found that preterm, but not term, infants with false-positive results had more acute outpatient visits than their counterparts with normal NBS results. We found no difference in adjusted rates of other visit types (emergency department, inpatient, outpatient well) between infants with false-positive and normal NBS results, regardless of gestational age. CONCLUSIONS: Increased rates of acute outpatient visits among preterm infants with false-positive NBS screening results may be attributable to underlying chronic illness or parental anxiety. The absence of increased health care utilization among term infants may be unique to this Medicaid population or a subgroup phenomenon that was not detectable in this analysis.