Neighborhood risk and prenatal care utilization in Rhode Island, 2005-2014.

BACKGROUND: The importance of prenatal care is undeniable, as pregnant persons who receive on-time, adequate prenatal care have better maternal and infant health outcomes compared with those receiving late, less than adequate prenatal care. Previous studies assessing the relationship between neighborhood factors and maternal health outcomes have typically looked at singular neighborhood variables and their relationship with maternal health outcomes. In order to examine a greater number of place-based risk factors simultaneously, our analysis used a unique neighborhood risk index to assess the association between cumulative risk and prenatal care utilization, which no other studies have done. METHODS: Data from Rhode Island Vital Statistics for births between 2005 and 2014 were used to assess the relationship between neighborhood risk and prenatal care utilization using two established indices. We assessed neighborhood risk with an index composed of eight socioeconomic block-group variables. A multivariate logistic regression model was used to examine the association between adequate use and neighborhood risk. RESULTS: Individuals living in a high-risk neighborhood were less likely to have adequate or better prenatal care utilization according to both the APNCU Index (adjusted odds ratio [aOR] 0.91, 95% confidence interval [CI] 0.87-0.95) and the R-GINDEX (aOR 0.88, 95% CI 0.85-0.91) compared with those in low-risk neighborhoods. CONCLUSION: Understanding the impact of neighborhood-level factors on prenatal care use is a critical first step in ensuring that underserved neighborhoods are prioritized in interventions aimed at making access to prenatal care more equitable.

How Close Are You to Gestational Diabetes Mellitus?

The objective of this study is to evaluate if proximity to food sources, rather than density, is associated with gestational diabetes mellitus (GDM) risk. Rhode Island birth certificate data from 2015-2016 were utilized. A proximity analysis was used to determine the distance from each pregnant person's home address to the closest food source (fast food restaurant, supermarket, and farmers market/community garden). Multivariable logistic regression was used to examine the association between distance to food source and the risk of GDM. Of the 20,129 births meeting inclusion criteria, 7.2% (1,447) had GDM. Distance to food sources differed by insurance type, educational background, and race/ethnicity. There was no statistically significant association between distance to any of the food sources and GDM in the adjusted model. Other factors need to be examined to improve interventions, influence policy, and impact neonatal and maternal outcomes.

From Descriptive to Predictive: Linking Early Childhood Developmental and Behavioral Screening Results With Educational Outcomes in Kindergarten.

OBJECTIVE: To assess the predictive value of a pediatric screening tool by linking 2 independent databases: an educational database that includes data from standardized academic assessments administered during kindergarten and a pediatric database that includes screening results. METHODS: A database that includes results of the Survey of Well-being of Young Children (SWYC) completed during pediatric visits were linked to an educational database that includes STAR Early Literacy examinations in kindergarten. Linear multilevel regression modeling was used to examine if screening results on the developmental and behavioral sections of the most recently completed SWYC form predicted trends in the percentile rank on the STAR exam over the school year, adjusting for potential confounders. RESULTS: Linking the 2 databases resulted in a sample of 586 children who were administered at least one SWYC evaluation between 24 and 48 months and completed at least one STAR Early Literacy examination in kindergarten. The sample represents a diverse population with 55% Hispanic children, 25% Non-Hispanic black children, and 91% of children receiving a subsidized lunch. After adjusting for confounders, children with a positive developmental or behavioral screen had significantly lower percentile ranks on the STAR exam. CONCLUSIONS: Early developmental and behavioral screening results predicted performance on the STAR exam in kindergarten. Children with developmental and behavioral concerns may be less ready to enter kindergarten than peers without such concerns. These preliminary findings provide proof-of-principle of the potential utility of developmental screening tools in identifying children with reduced school readiness who may benefit from intervention prior to kindergarten.

Establishing New Norms for Developmental Milestones.

BACKGROUND AND OBJECTIVES: Pediatric surveillance of young children depends on providers' assessment of developmental milestones, yet normative data are sparse. Our objectives were to develop new norms for common milestones to aid in clinical interpretation of milestone attainment. METHODS: We analyzed responses to the developmental screening form of the Survey of Well-being of Young Children from 41 465 screens across 3 states. Associations between developmental status and a range of child characteristics were analyzed, and norms for individual questions were compared to guidelines regarding attainment of critical milestones from the Centers for Disease Control and Prevention (CDC). RESULTS: A contemporary resource of normative data for developmental milestone attainment was established. Lower developmental status was associated with child age in the presence of positive behavioral screening scores (P < .01), social determinants of health (P < .01), Medicaid (P < .01), male sex (P < .01), and child race (P < .01). Comparisons between Survey of Well-being of Young Children developmental questions and CDC guidelines reveal that a high percentage of children are reported to pass milestones by the age at which the CDC states that "most children pass" and that an even higher percentage of children are reported to pass milestones by the age at which the CDC states that parents should "act early." An interactive data visualization tool that can assist clinicians in real-time developmental screening and surveillance interpretation is also provided. CONCLUSIONS: Detailed normative data on individual developmental milestones can help clinicians guide caregivers' expectations for milestone attainment, thereby offering greater specificity to CDC guidelines.