To describe the characteristics, access, utilization, satisfaction, and outcomes of Healthy Start participants in eight selected sites, a survey of Healthy Start participants with infants ages 6–12-months-old at time of interview was conducted between October 2006 and January 2007. The response rate was 66% (n = 646), ranging from 37% in one site to >70% in seven sites. Healthy Start participants’ outcomes were compared to two national benchmarks. Healthy Start participants reported that they were satisfied with the program (>90% on five measures). Level of unmet need was 6% or less for most services, except for dental appointments (11%), housing (13%), and child care (11%). Infants had significantly better access to medical care than did their mothers, with higher rates of insurance coverage, medical homes, and checkups, and fewer unmet needs for health care. Healthy Start participants’ rates of ever breastfeeding (72%) and putting infants to sleep on their backs (70%) were at or near the Healthy People 2010 objectives, and considerably higher than rates among low-income mothers in the ECLS. The high rate of health education (>90%) may have contributed to these outcomes. Elimination of smoking among Healthy Start participants (46%) fell short of the Healthy People 2010 objective (99%). The low-birth weight (LBW) rate among Black Healthy Start participants (14%) was three times higher than the rate for Whites and Hispanics (5% each). Overall, the LBW rate in the eight sites (7.5%) was similar to the rate for low-income mothers in the ECLS, but both rates were above the Healthy People 2010 objective (5%). Challenges remain in reducing disparities in maternal and child health outcomes. Further attention to risk factors associated with LBW (especially smoking) may help close the gaps. The life course theory suggests that improved outcomes may require longer-term investments. Healthy Start’s emerging focus on interconception care has the potential to address longer-term needs of participants.

Background Maternal mental health conditions (MMHCs), which include depression and anxiety disorders during pregnancy and through five years postpartum, are among the most common obstetric complications in the United States overall and in Texas in particular. In the context of potential expansion of postpartum Medicaid coverage from 60 days to one year, we sought to capture the societal, financial burden of untreated MMHCs. Methods We estimated the economic impact of untreated maternal mental health conditions (MMHCs) among births in Texas in 2019 using a cost-of-illness model. Results We found that MMHCs affected 13.2% of mothers and, when left untreated, cost $2.2 billion among mothers and children born in Texas in 2019 when following the birth cohort from conception through five years postpartum. We found that MMHCs affected 17.2% of mothers enrolled in Texas’ Medicaid for Pregnant Women and cost $962 million. In addition, the prevalence of MMHCs and resulting costs varied considerably among women of different races and ethnicities. Employers and health care payers, including Medicaid, bore most of these costs. Conclusions The Texas Health and Human Services Commission’s (HHSC) efforts to increase awareness about MMHCs and increase access to care represent an important step toward improving maternal and child health and maximizing benefits to Texas HHSC, employers, and insurers.

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Objectives Unintended (mistimed or unwanted) pregnancies occur frequently in the United States and have negative effects. When designing prevention programs and intervention strategies for the provision of comprehensive birth control methods, it is necessary to identify (1) populations at high risk of unintended pregnancy, and (2) geographic areas with a concentration of need. Methods To estimate the proportion and incidence of unintended births and pregnancies for regions in Missouri, two machine-learning prediction models were developed using data from the National Survey of Family Growth and the Missouri Pregnancy Risk Assessment Monitoring System. Each model was applied to Missouri birth certificate data from 2014 to 2016 to estimate the number of unintended births and pregnancies across regions in Missouri. Population sizes from the American Community Survey were incorporated to estimate the incidence of unintended births and pregnancies. Results About 24,500 (34.0%) of the live births in Missouri each year were estimated to have resulted from unintended pregnancies: about 25 per 1,000 women (ages 15 to 45) annually. Further, 40,000 pregnancies (39.7%) were unintended each year: about 41 per 1,000 women annually. Unintended pregnancy was concentrated in Missouri's largest urban areas, and annual incidence varied substantially across regions. Conclusions Our proposed methodology was feasible to implement. Random forest modeling identified factors in the data that best predicted unintended birth and pregnancy and outperformed other approaches. Maternal age, marital status, health insurance status, parity, and month that prenatal care began predict unintended pregnancy among women with a recent live

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