66 research outputs found

    Evaluating the Effect of San Francisco’s Paid Parental Leave Ordinance on Birth Outcomesf

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    Since 2017, San Francisco’s Paid Parental Leave Ordinance (PPLO) has allowed parents who work for private-sector employers to take 6 weeks of fully paid postnatal parental leave. Previous studies have linked paid parental leave with health improvements for birthing people and babies, although evidence for birth outcomes is limited. We hypothesized that the PPLO may have improved birth outcomes via reduced stress during pregnancy due to anticipation of increased financial security and postnatal leave. We used linked California birth certificate and hospital discharge records from January 2013 to December 2018 (n = 1,420,781). We used quasi-experimental difference-in-difference (DD) models to compare outcomes among SF births before and after PPLO to outcomes among births in control counties. Births from January 2017 through December 2018 among working San Francisco (SF) people were considered “exposed” to PPLO; births during this time among working people outside of SF, as well as all births before 2017, served as controls. We conducted subgroup analyses by race/ethnicity, education and Medicaid coverage at delivery. Overall analyses adjusting for covariates and indicators for time and seasonality indicated no association between PPLO and birth outcomes. Our results indicate that PPLO may not have affected the birth outcomes we examined among marginalized groups who, due to structural racism, are at heightened risk of poor outcomes. We speculate that this result is due to the PPLO’s design and focus on postnatal leave. Future work should examine the policy’s effects on other outcomes

    Inability to predict postpartum hemorrhage: insights from Egyptian intervention data

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    <p>Abstract</p> <p>Background</p> <p>Knowledge on how well we can predict primary postpartum hemorrhage (PPH) can help policy makers and health providers design current delivery protocols and PPH case management. The purpose of this paper is to identify risk factors and determine predictive probabilities of those risk factors for primary PPH among women expecting singleton vaginal deliveries in Egypt.</p> <p>Methods</p> <p>From a prospective cohort study, 2510 pregnant women were recruited over a six-month period in Egypt in 2004. PPH was defined as blood loss ≥ 500 ml. Measures of blood loss were made every 20 minutes for the first 4 hours after delivery using a calibrated under the buttocks drape. Using all variables available in the patients' charts, we divided them in ante-partum and intra-partum factors. We employed logistic regression to analyze socio-demographic, medical and past obstetric history, and labor and delivery outcomes as potential PPH risk factors. Post-model predicted probabilities were estimated using the identified risk factors.</p> <p>Results</p> <p>We found a total of 93 cases of primary PPH. In multivariate models, ante-partum hemoglobin, history of previous PPH, labor augmentation and prolonged labor were significantly associated with PPH. Post model probability estimates showed that even among women with three or more risk factors, PPH could only be predicted in 10% of the cases.</p> <p>Conclusions</p> <p>The predictive probability of ante-partum and intra-partum risk factors for PPH is very low. Prevention of PPH to all women is highly recommended.</p

    Racial Differences in the Association between the U.S. Earned Income Tax Credit and Birthweight

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    ObjectiveWe examined whether the largest U.S. poverty alleviation program for families, the Earned Income Tax Credit (EITC), has different associations with birthweight among women of different racial backgrounds.DesignWe analyzed data from the 1985-2015 waves of the Panel Study of Income Dynamics, a longitudinal cohort study of U.S. families (N&nbsp;=&nbsp;5,230 infants born to 3,672 women). The primary outcome was a continuous measure of birthweight, with secondary outcomes including low birthweight (LBW) and very LBW. Using rich sociodemographic data available in the Panel Study of Income Dynamics, we calculated the amount of EITC benefit for which women were eligible. We then examined the association of EITC benefit size with each outcome using multivariable regressions, examining the sample overall as well as racial subgroups (White, Black, or other).ResultsWe found that larger EITC benefits were not associated with increased infant birthweight for the overall sample (18.37&nbsp;g per $1,000 of EITC; 95% confidence interval [CI], -2.62 to 33.36). There was an increase in birthweight for Black women (40.17&nbsp;g; 95% CI: 7.32 to 73.02), but not for White women (-1.86&nbsp;g; 95% CI, -33.33 to 29.60) or women of other races (-13.26&nbsp;g; 95% CI, -75.90 to 49.38). There was no association between EITC benefit size and the probability of LBW or very LBW. Results were robust to alternative model specifications.ConclusionsSocial policies to address poverty may be effective at decreasing racial disparities in birthweight. Future work should examine potential mechanisms and the benefits of improved health outcomes for children later in life
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