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Objectives Severe maternal morbidity (SMM) is an important indicator for identifying and monitoring efforts to improve maternal health. Studies have identified independent risk factors, including race/ethnicity; however, there has been limited investigation of the modifying effect of socioeconomic factors. Study aims were to quantify SMM risk factors and to determine if socioeconomic status modifies the effect of race/ethnicity on SMM risk. Methods We used 2008-2012 NYC birth certificates matched with hospital discharge records for maternal deliveries. SMM was defined using an algorithm developed by the Centers for Disease Control and Prevention. Mixed-effects logistic regression models estimated SMM risk by demographic, socioeconomic, and health characteristics. The final model was stratified by Medicaid status (as a proxy for income), education, and neighborhood poverty. Results Of 588,232 matched hospital deliveries, 13,505 (229.6 per 10,000) had SMM. SMM rates varied by maternal age, birthplace, education, income, pre-existing chronic conditions, pre-pregnancy weight status, trimester of prenatal care entry, plurality, and parity. Race/ethnicity was consistently and significantly associated with SMM. While racial differences in SMM risk persisted across all socioeconomic groupings, the risk was exacerbated among Latinas and Asian-Pacific Islanders with lower income when compared to white non-Latinas. Similarly, living in the poorest neighborhoods exacerbated SMM risk among both black non-Latinas and Latinas. Conclusions for Practice SMM determinants in NYC mirror national trends, including racial/ethnic disparities. However, these disparities persisted even in the highest income and educational groups suggesting other pathways are needed to explain racial/ethnic differences. [ABSTRACT FROM AUTHOR]

Objective To determine the contribution of paternal factors to the risk of adverse birth outcomes. Methods This is a retrospective cross-sectional analysis using birth certificate data from 2004 to 2015 retrieved from the Finger Lakes Regional Perinatal Data System. Primiparous women with singleton pregnancies were analyzed in the study. Two multivariate logistic regression models were conducted to assess potential paternal risk factors including age, race/ethnicity, and education on four birth outcomes, including preterm birth (PTB), low birthweight (LBW), high birthweight (HBW), and small for gestational age (SGA). Results A total of 36,731 singleton births were included in the analysis. Less paternal education was significantly related to an elevated risk of PTB, LBW, and SGA, even after adjustment for maternal demographic, medical, and lifestyle factors (P < 0.05). Paternal race/ethnicity was also significantly associated with all four birth outcomes (P < 0.05) while controlling for maternal factors. Older paternal age was associated with increased odds (OR 1.012, 95% CI 1.003-1.022) of LBW. Maternal race/ethnicity partially mediated the association of paternal race/ethnicity with HBW and SGA. Maternal education partially mediated the relationship between paternal education and SGA. Conclusion Paternal factors were important predictors of adverse birth outcomes. Our results support the inclusion of fathers in future studies and clinical programs aimed at reducing adverse birth outcomes. [ABSTRACT FROM AUTHOR]

To assess the validity of self-reported maternal and infant health indicators reported by mothers an average of 4 months after delivery. Three validity measures-sensitivity, specificity and positive predictive value (PPV)-were calculated for pregnancy history, pregnancy complications, health care utilization, and infant health indicators self-reported on the Pregnancy Risk Assessment Monitoring System (PRAMS) questionnaire by a representative sample of mothers delivering live births in New York City (NYC) (n = 603) and Vermont (n = 664) in 2009. Data abstracted from hospital records served as gold standards. All data were weighted to be representative of women delivering live births in NYC or Vermont during the study period. Most PRAMS indicators had >90 % specificity. Indicators with >90 % sensitivity and PPV for both sites included prior live birth, any diabetes, and Medicaid insurance at delivery, and for Vermont only, infant admission to the NICU and breastfeeding in the hospital. Indicators with poor sensitivity and PPV (<70 %) for both sites (i.e., NYC and Vermont) included placenta previa and/or placental abruption, urinary tract infection or kidney infection, and for NYC only, preterm labor, prior low-birth-weight birth, and prior preterm birth. For Vermont only, receipt of an HIV test during pregnancy had poor sensitivity and PPV. Mothers accurately reported information on prior live births and Medicaid insurance at delivery; however, mothers' recall of certain pregnancy complications and pregnancy history was poor. These findings could be used to prioritize data collection of indicators with high validity. [ABSTRACT FROM AUTHOR]

Despite the increasing emphasis on pre- and interconception planning, perinatal data available to local municipalities and organizations is often limited to that on the birth certificate. A partnership between a local health department and an academic medical center sought to overcome this gap. Using the core questions from the Pregnancy Risk Assessment Monitoring System (PRAMS) and a stratified random sample methodology (by income) in a county with ~8,000 annual births we mailed 2,462 surveys to mothers who gave birth between May 2009 and April 2010. Mailings occurred at 4-5 months postpartum. Low income mothers (those with a Medicaid-funded delivery and/or prenatal WIC enrollment) were oversampled based on a projected response rate of 35 % (rate for non-low income was 55 %). Over 1,000 usable surveys were returned and linked with birth certificate data. Target response rates were achieved. 9.4 % of addresses for low income mothers were undeliverable (vs. 4.2 % of non-low income). Both low and non-low income respondents were more likely to be over age 18 and White. After statistical adjustments the survey dataset was demographically similar to the original birth data. Personnel and non-personnel costs per usable survey exceeded $20. Collecting local data using a modified PRAMS methodology is feasible but requires expertise in survey, data management and birth certificate data and local knowledge about survey response patterns. These types of data can serve to inform policy and program planning and provide data to support relevant funding requests. [ABSTRACT FROM AUTHOR]

To examine factors associated with provider-patient conversations regarding prenatal and postpartum depressed mood. This study included 3,597 White, African American, Hispanic, and Asian/Pacific Islander NYC resident women who completed the Pregnancy Risk Assessment Monitoring System (PRAMS) survey from 2004-2007, a population-based assessment of patient and health care characteristics. Social determinants including race, nativity, maternal age, prenatal health care setting, and payment type were associated with patient report of having had a conversation about perinatal mood with their provider. Compared to Whites, Asian/Pacific Islanders were less likely to have this conversation (OR = 0.7, CI = 0.5-0.9). Older (OR = 0.6, CI = 0.4-0.9), non-US born (OR = 0.6, CI = 0.5-0.8), and women receiving care from a private doctor or HMO clinic (OR = 0.7, CI = 0.6-0.9) were less likely to have this conversation compared to their respective counterparts. Those who paid for their prenatal care primarily through personal income or through an expanded Medicaid program for prenatal care compared to those who did not were more likely to have had a conversation about mood with their providers. Health care providers and public health advocates should be aware that non-US born women were less likely to have conversations about mood than US born women. However, young mothers shown to be at risk for perinatal depression were more likely to have these conversations compared to older women. Protocols for assessing and educating patients about perinatal mood should be evaluated to improve conversation rates for those receiving care through private doctors and managed care organizations. Income and prenatal care assistance funds may play separate and important roles in provider-patient conversations. [ABSTRACT FROM AUTHOR]