Publications

Abstract

Importance: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) serves more than one-quarter of pregnant and postpartum women. In October 2009, the WIC food package underwent revisions to improve nutritional content. No studies have investigated the downstream effects of this revision on maternal and infant health. Objective: To investigate whether the revised WIC food package improved perinatal and birth outcomes among recipients. Design, Setting, and Participants: We conducted a quasi-experimental difference-in-differences analysis, comparing WIC recipients (the treatment group) before and after the package revisions while accounting for temporal trends among nonrecipients (the control group). Multivariable linear regressions were adjusted for sociodemographic covariates. This study was conducted using linked birth certificate and hospital discharge data from California from January 2007 to December 2012. Analysis began July 2018. Exposures: Whether pregnant women received the revised WIC package, which included more whole grains, fruit, vegetables, and low-fat milk. Main Outcomes and Measures: Measures of maternal and infant health, including maternal preeclampsia, gestational diabetes, and gestational weight gain as well as infant gestational age, birth weight, and hospitalizations. Results: The sample included 2897537 infants born to 2441658 mothers. WIC recipients were more likely to be Hispanic, less educated, of greater parity, and younger than nonrecipients. The revised WIC food package was associated with reductions in maternal preeclampsia (-0.6% points; 95% CI, -0.8 to -0.4) and more than recommended gestational weight gain (-3.2% points; 95% CI, -3.6 to -2.7), increased likelihood of as recommended (2.3% points; 95% CI, 1.8 to 2.8) and less than recommended (0.9% points; 95% CI, 0.5 to 1.2) gestational weight gain, and longer gestational age (0.2 weeks; 95% CI, 0.001 to 0.034). Among infants, an increased likelihood of birth weight that was appropriate for gestational age was observed (0.9% points; 95% CI, 0.5 to 1.3). Although birth weight itself was reduced (-0.009 SDs; 95% CI, -0.016 to -0.001), this was accompanied by reductions in small for gestational age (-0.4% points; 95% CI, -0.7 to -0.1), large for gestational age (-0.5% points; 95% CI, -0.8 to -0.2), and low-birth-weight infants (-0.2% points; 95% CI, -0.4 to -0.004), suggesting that the revised food package improved distributions of birth weight. Conclusions and Relevance: The revised WIC food package, intended to improve women's nutrition during pregnancy, was associated with beneficial impacts on maternal and child health. This suggests that WIC policy may be an important lever to reduce health disparities among high-risk women and children at a critical juncture in the life course.

Abstract

Background: While there is a growing interest in addressing social determinants of health in clinical settings, there are limited data on the relationship between unstable housing and both obstetric outcomes and health care utilization. Objective: The objective of the study was to investigate the relationship between unstable housing, obstetric outcomes, and health care utilization after birth. Study Design: This was a retrospective cohort study. Data were drawn from a database of liveborn neonates linked to their mothers’ hospital discharge records (2007–2012) maintained by the California Office of Statewide Health Planning and Development. The analytic sample included singleton pregnancies with both maternal and infant data available, restricted to births between the gestational age of 20 and 44 weeks, who presented at a hospital that documented at least 1 woman as having unstable housing using the International Classification of Diseases, ninth edition, codes (n = 2,898,035). Infants with chromosomal abnormalities and major birth defects were excluded. Women with unstable housing (lack of housing or inadequate housing) were identified using International Classification of Diseases, ninth edition, codes from clinical records. Outcomes of interest included preterm birth (<37 weeks’ gestational age), early term birth (37–38 weeks gestational age), preterm labor, preeclampsia, chorioamnionitis, small for gestational age, long birth hospitalization length of stay after delivery (vaginal birth, >2 days; cesarean delivery, >4 days), emergency department visit within 3 months and 1 year after delivery, and readmission within 3 months and 1 year after delivery. We used exact propensity score matching without replacement to select a reference population to compare with the sample of women with unstable housing using a one-to-one ratio, matching for maternal age, race/ethnicity, parity, prior preterm birth, body mass index, tobacco use during pregnancy, drug/alcohol abuse during pregnancy, hypertension, diabetes, mental health condition during pregnancy, adequacy of prenatal care, education, and type of hospital. Odds of an adverse obstetric outcome were estimated using logistic regression. Results: Of 2794 women with unstable housing identified, 83.0% (n = 2318) had an exact propensity score–matched control. Women with an unstable housing code had higher odds of preterm birth (odds ratio, 1.2, 95% confidence interval, 1.0–1.4, P < .05), preterm labor (odds ratio, 1.4, 95% confidence interval, 1.2–1.6, P < .001), long length of stay (odds ratio, 1.6, 95% confidence interval, 1.4–1.8, P < .001), emergency department visits within 3 months (odds ratio, 2.4, 95% confidence interval, 2.1–2.8, P < .001) and 1 year after birth (odds ratio, 2.7, 95% confidence interval, 2.4–3.0, P < .001), and readmission within 3 months (odds ratio, 2.7, 95% confidence interval, 2.2–3.4, P < .0014) and 1 year after birth (odds ratio, 2.6, 95% confidence interval, 2.2–3.0, P < .001). Conclusion: Unstable housing documentation is associated with adverse obstetric outcomes and high health care utilization. Housing and supplemental income for pregnant women should be explored as a potential intervention to prevent preterm birth and prevent increased health care utilization.

Abstract

Purpose: The purpose of this qualitative descriptive study undergirded by Meleis’s Transition Framework was to explore developmental, situational, and organizational challenges experienced by a diverse group of emerging adults (18-29 years old) with type 1 diabetes (T1DM). Their perspectives on creating a developmentally informed diabetes self-management (DSM) program that supports transitional care were also explored. Methods: A purposive sample of emerging adults with T1DM was recruited from the pediatric and adult diabetes clinics of an urban academic medical center. Those who consented participated in either a single focus group or a single interview. Self-reported demographic and clinical information was also collected. Results: The sample was comprised of 21 emerging adults, with an average age of 23.6 ± 2.6 years, diabetes duration of 14.7 ± 5.0 years, and 71% female. Four main themes emerged: (1) finding a balance between diabetes and life, (2) the desire to be in control of their diabetes, (3) the hidden burden of diabetes, and (4) the desire to have a connection with their diabetes provider. Use of insulin pumps and continuous glucose monitors and attendance at diabetes camp decreased some of the DSM challenges. Different groups of individuals had different perspectives on living with diabetes and different approaches to DSM. Conclusions: The emerging adults in this study had a strong desire to be in good glycemic control. However, all participants described having a hard time balancing DSM with other competing life priorities. They also desired personalized patient-provider interactions with their diabetes care provider in clinical follow-up services. Even though the study sample was small, important themes emerged that warrant further exploration.

Abstract

Purpose: Improved second-tier tools are needed to reduce false-positive outcomes in newborn screening (NBS) for inborn metabolic disorders on the Recommended Universal Screening Panel (RUSP). Methods: We designed an assay for multiplex sequencing of 72 metabolic genes (RUSPseq) from newborn dried blood spots. Analytical and clinical performance was evaluated in 60 screen-positive newborns for methylmalonic acidemia (MMA) reported by the California Department of Public Health NBS program. Additionally, we trained a Random Forest machine learning classifier on NBS data to improve prediction of true and false-positive MMA cases. Results: Of 28 MMA patients sequenced, we found two pathogenic or likely pathogenic (P/LP) variants in a MMA-related gene in 24 patients, and one pathogenic variant and a variant of unknown significance (VUS) in 1 patient. No such variant combinations were detected in MMA false positives and healthy controls. Random Forest–based analysis of the entire NBS metabolic profile correctly identified the MMA patients and reduced MMA false-positive cases by 51%. MMA screen-positive newborns were more likely of Hispanic ethnicity. Conclusion: Our two-pronged approach reduced false positives by half and provided a reportable molecular finding for 89% of MMA patients. Challenges remain in newborn metabolic screening and DNA variant interpretation in diverse multiethnic populations.