RESUMEN
BACKGROUND: The largest poverty alleviation program in the US is the earned income tax credit (EITC), providing $60 billion to over 25 million families annually. While research has shown positive impacts of EITC receipt in pregnancy, there is little evidence on whether the timing of receipt may lead to differences in pregnancy outcomes. We used a quasi-experimental difference-in-differences design, taking advantage of EITC tax disbursement each spring to examine whether trimester of receipt was associated with perinatal outcomes. METHODS: We conducted a difference-in-differences analysis of California linked birth certificate and hospital discharge records. The sample was drawn from the linked CA birth certificate and discharge records from 2007-2012 (N = 2,740,707). To predict eligibility, we created a probabilistic algorithm in the Panel Study of Income Dynamics and applied it to the CA data. Primary outcome measures included preterm birth, small-for-gestational age (SGA), gestational diabetes, and gestational hypertension/preeclampsia. RESULTS: Eligibility for EITC receipt during the third trimester was associated with a lower risk of preterm birth compared with preconception. Eligibility for receipt in the preconception period resulted in improved gestational hypertension and SGA. CONCLUSION: This analysis offers a novel method to impute EITC eligibility using a probabilistic algorithm in a data set with richer sociodemographic information relative to the clinical and administrative data sets from which outcomes are drawn. These results could be used to determine the optimal intervention time point for future income supplementation policies. Future work should examine frequent income supplementation such as the minimum wage or basic income programs.
Asunto(s)
Hipertensión Inducida en el Embarazo , Nacimiento Prematuro , Embarazo , Femenino , Humanos , Recién Nacido , Impuesto a la Renta , Renta , California/epidemiología , Retardo del Crecimiento FetalRESUMEN
INTRODUCTION: Black birthing people in the United States disproportionately endure inequitable experiences and outcomes during pregnancy and childbirth via structural, interpersonal, and obstetric racism. In this study, the researchers explore provider perspectives of how racism is perpetuated in institutional perinatal and reproductive health care. METHODS: Critical Race Theory, Reproductive Justice, and midwifery theory were operationalized through secondary thematic analysis of existing qualitative data from the Community Racial Equity and Training Interventions and Evaluation of Current and Future Healthcare Clinicians Study. Twenty-four perinatal providers (certified nurse-midwives [n = 7] and physicians [n = 17]) voluntarily participated in interviews. A comparative approach was used to determine how professional identity and model of care influence physicians' and certified nurse-midwives' perceptions of equity. RESULTS: Thematic analysis produced 5 themes: racism as a comorbidity, health care systems' inability to address the needs of Black birthing people, health care systems prioritizing providers over patients are failed systems, patients are the experts in the optimal health care model, and benefits of interprofessional teams grounded in Reproductive Justice. Additionally, both physicians and midwives expressed a need for a new care model. DISCUSSION: With these findings, our team proposes a modification of the midwifery model for application by all provider types that could radically shift the experience and outcomes of perinatal and reproductive health care and reduce mortality. Using a human rights approach to care, a Reproductive Justice-Public Health Critical Race praxis-informed midwifery model may be operationalized by all perinatal and reproductive health care providers. This novel model reflects an iterative process that may offer institutions and providers methods to build on past research supporting midwifery-centered care for improving outcomes for all patients by specifically focusing on improving care of Black birthing people. The implications of this work offer broad application in current clinical practice, quality improvement, research, technology, and patient resources.