Publications

When a Baby Is Born, So Is a Parent: Understanding the Effects of Preterm Birth on Black Parents Through the Lens of the Nimhd Framework

Document Type

Article

Subject Area(s)

Humans; Premature Birth (ethnology); Female; Black or African American (statistics & numerical data, psychology); United States; Infant, Newborn; Pregnancy; Parents (psychology); Adult; Social Determinants of Health; Health Status Disparities; Male; Healthcare Disparities; Racism (psychology)

Abstract

BACKGROUND: The rate of preterm birth (PTB) is high in the United States and Black infants remain disproportionately affected, with the disparity between Black and White infant deaths greater today than it was under antebellum slavery. PURPOSE: The National Institute on Minority Health and Disparities Research Framework reflects a unique set of determinants relevant to the understanding and promotion of minority health. METHODS: We have applied this framework to better understand the effects of PTB on Black parents and the distribution of the social determinants of health, including structural determinants and root causes of inequities. DISCUSSION: This adaptation shows the intersection in maternal and infant health that shapes individuals' experiences, drives disparities and impacts perinatal outcomes in critical periods over the lifecourse. CONCLUSION: In our efforts to achieve health equity, it is imperative that we study the underlying mechanisms and recognize that policies, institutional structures, and social factors are drivers of racism.

Digital Object Identifier (DOI)

https://doi.org/10.1016/j.outlook.2024.102246

APA Citation

Warren, K. F., Dail, R. B., Dawson, R. M., Boghossian, N. S., & Felder, T. M. (2024). When a baby is born, so is a parent: Understanding the effects of preterm birth on Black parents through the lens of the NIMHD framework. Nursing Outlook, 72(5), 102246.https://doi.org/10.1016/j.outlook.2024.102246

Rights

© 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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