Infant Outcomes among Teenage and Young Mothers: Racial Inequities and the Role of Educational Attainment.

OBJECTIVE: To examine the association of age-appropriate maternal educational attainment in teenage and young mothers on infant health outcomes across racial/ethnic groups. STUDY DESIGN: In this retrospective, cross-sectional study using Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research Natality data (2016-2017), we included live births comparing 14- to 19- year-old mothers with 20- to 24-year-old mothers. To analyze the association of maternal age-appropriate education (≥8th grade for 15-18 years of age, 9th-12th grade/completed high school for 19-24 years of age), we conducted multivariable regression adjusting for mothers' demographics, reporting adjusted incidence rate ratios with 95% CI for infant mortality rate, and logistic regression for extreme prematurity and low birth weight, reporting aORs with 95% CI. RESULTS: From 2016 to 2017, there were 1 976 334 live births among women 14-24 years of age; 407 576 (20.6%) were in 14- to 19-year-olds. In the multivariable model, increased term infant mortality rate was associated with age 14-19 years (adjusted incidence rate ratio 1.18, 95% 1.10, 1.27), age-inappropriate education (adjusted incidence rate ratio 1.38, 95% CI 1.28, 1.48), and non-Hispanic Black mothers (adjusted incidence rate ratio 1.21, 95% CI 1.12, 1.30). Extreme prematurity was associated with women age 14-19 years (aOR 1.35, 95% CI 1.30, 1.40), non-Hispanic Black (aOR 2.50, 95% CI 2.39, 2.61), and Hispanic mothers (aOR 1.09, 95% CI 1.04, 1.15). Term infant low birth weight was associated with age 14-19 years (aOR 1.14, 95% CI 1.12, 1.16), age-inappropriate education for non-Hispanic White (aOR 1.16, 95% CI 1.11, 1.21), and non-Hispanic Black (aOR 1.08, 1.04, 1.12) mothers. CONCLUSIONS: Inadequate maternal educational attainment, which is influenced by modifiable social policies, is associated with increased adverse infant outcomes in mothers 14-24 years of age.

Antiracism in the Field of Neonatology: A Foundation and Concrete Approaches.

Neonatal patients and families from historically marginalized and discriminated communities have long been documented to have differential access to health care, disparate health care, and as a result, inequitable health outcomes. Fundamental to these processes is an understanding of what race and ethnicity represent for patients and how different levels of racism act as social determinants of health. The NICU presents a unique opportunity to intervene with regard to the detrimental ways in which structural, institutional, interpersonal, and internalized racism affect the health of newborn infants. The aim of this article is to provide neonatal clinicians with a foundational understanding of race, racism, and antiracism within medicine, as well as concrete ways in which health care professionals in the field of neonatology can contribute to antiracism and health equity in their professional careers.

Economics at the frontline: Tools and tips for busy clinicians.

Frontline providers of neonatal care have a moral imperative to enhance value and inform senior administrators of how to most efficiently spend healthcare dollars. This article argues that the frontline is the ideal setting to pursue these efforts, offers recommendations for how to measure value, and describes five simple yet effective concrete tools that can improve value. It concludes with tips on advancing a value-added agenda through the Model for Improvement and advice for teams on ways of approaching senior leaders to help align unit-level aims with system-level goals and mission. Armed with these instruments, multidisciplinary teams can help ensure that neonatal care remains at the forefront of high-value healthcare.

The color of health: how racism, segregation, and inequality affect the health and well-being of preterm infants and their families.

Racism, segregation, and inequality contribute to health outcomes and drive health disparities across the life course, including for newborn infants and their families. In this review, we address their effects on the health and well-being of newborn infants and their families with a focus on preterm birth. We discuss three causal pathways: increased risk; lower-quality care; and socioeconomic disadvantages that persist into infancy, childhood, and beyond. For each pathway, we propose specific interventions and research priorities that may remedy the adverse effects of racism, segregation, and inequality. Infants and their families will not realize the full benefit of advances in perinatal and neonatal care until we, collectively, accept our responsibility for addressing the range of determinants that shape long-term outcomes.

Improving Value in Neonatal Intensive Care.

Work within the US health care system has sought to improve outcomes, decrease costs, and improve the patient experience. Combining those three elements leads to value-added care. Quality improvement within neonatology has focused primarily on the improvement of clinical outcomes without explicit consideration of cost. Future improvement efforts in neonatology should consider opportunities to decrease or eliminate waste, and improve outcomes. Consideration of how a change affects all stakeholders reveals potential cost-saving opportunities, and developing aims with value in mind facilitates understanding and goal-setting with senior administrative leaders.

Evidence, Quality, and Waste: Solving the Value Equation in Neonatology.

Rising health care costs challenge governments, payers, and providers in delivering health care services. Tremendous pressures result to deliver better quality care while simultaneously reducing costs. This has led to a wholesale re-examination of current practice methods, including explicit consideration of efficiency and waste. Traditionally, reductions in the costs of care have been considered as independent, and sometimes even antithetical, to the practice of high-quality, intensive medicine. However, it is evident that provision of evidence-based, locally relevant care can result in improved outcomes, lower resource utilization, and opportunities to reallocate resources. This is particularly relevant to the practice of neonatology. In the United States, 12% of the annual birth cohort is affected by preterm birth, and 3% is affected by congenital anomalies. Both of these conditions are associated with costly health care during, and often long after, the NICU admission. We will discuss how 3 drivers of clinical practice in neonatal care (evidence-based medicine, evidence-based economics, and quality improvement) can together optimize clinical and fiscal outcomes.

Network analysis of team structure in the neonatal intensive care unit.

OBJECTIVE: The goal was to examine nursing team structure and its relationship with family satisfaction. METHODS: We used electronic health records to create patient-based, 1-mode networks of nursing handoffs. In these networks, nurses were represented as nodes and handoffs as edges. For each patient, we calculated network statistics including team size and diameter, network centrality index, proportion of newcomers to care teams according to day of hospitalization, and a novel measure of the average number of shifts between repeat caregivers, which was meant to quantify nursing continuity. We assessed parental satisfaction by using a standardized survey. RESULTS: Team size increased with increasing length of stay. At 2 weeks of age, 50% of shifts were staffed by a newcomer nurse who had not previously cared for the index patient. The patterns of newcomers to teams did not differ according to birth weight. When the population was dichotomized according to median mean repeat caregiver interval value, increased reports of problems with nursing care were seen with less-consistent staffing by familiar nurses. This relationship persisted after controlling for factors including birth weight, length of stay, and team size. CONCLUSIONS: Family perceptions of nursing care quality are more strongly associated with team structure and the sequence of nursing participation than with team size. Objective measures of health care team structure and function can be examined by applying network analytic techniques to information contained in electronic health records.