In the US, the non-Hispanic Black infant mortality rate exceeds the rate among non-Hispanic Whites by more than two-fold. To explore factors underlying this persistent disparity, we employed a mixed methods approach with concurrent quantitative and qualitative data collection and analysis. Eighteen women participated in interviews about their experience of infant loss. Several common themes emerged across interviews, grouped by domain: individual experiences (trauma, grieving and counseling; criminalization); negative interactions with healthcare providers and the healthcare system; and broader contextual factors. Concurrently, we estimated the Black infant mortality rate (deaths per 1000 live births) using linked live birth-infant death records from 2010 to 2013 in every metropolitan statistical area in the US. Poisson regression examined how contextual indicators of population health, socioeconomic conditions of the Black population, and features of the communities in which they live were associated with Black infant mortality and inequity in Black-White infant mortality rates across 100 metropolitan statistical areas with the highest Black infant mortality rates. We used principal components analysis to create a Birth Equity Index in order to examine the collective impact of contextual indicators on Black infant mortality and racial inequity in mortality rates. The association between the Index and Black infant mortality was stronger than any single indicator alone: in metropolitan areas with the worst social, economic, and environmental conditions, Black infant mortality rates were on average 1.24 times higher than rates in areas where conditions were better (95% CI = 1.16, 1.32). The experiences of Black women in their homes, neighborhoods, and health care centers and the contexts in which they live may individually and collectively contribute to persistent racial inequity in infant mortality.
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http://dx.doi.org/10.3390/ijerph14070727 | DOI Listing |
Arch Dis Child Fetal Neonatal Ed
January 2025
Neonatology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands.
Objective: Fetomaternal transfusion (FMT) is associated with increased perinatal mortality and morbidity, but data on postnatal outcomes are scarce. Our aim was to determine the incidence of adverse short-termand long-term sequelae of severe FMT.
Design: Retrospective cohort study.
BMJ Open
January 2025
Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Background: The avoidable causes of infant mortality should be identified, and interventions should be made to improve the infant mortality rate. The cause of infant deaths should be assessed in both medical and social contexts.
Objectives: We aimed to determine the medical causes of infant mortality by verbal autopsy and its determinants in two rural blocks of the Khordha district of Odisha and assess the pathway of care and delay in seeking care for the illness preceding infant death using the three-delay model.
Hum Vaccin Immunother
December 2025
National Influenza Centre, Edificio Rondilla, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Influenza accounts for 30% of the total morbidity and mortality in the European Union. However, the specific burden in different European countries is largely unknown, and more research is needed to ascertain the reality of this disease. In this retrospective study, we analyzed the burdens of hospitalization, intensive care unit (ICU) admission and in-hospital mortality in Spain over five seasons (2015-2020) via publicly available Minimum Basic Datasets (MDBS).
View Article and Find Full Text PDFJAMA Pediatr
January 2025
Department of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, Richmond.
Int J Epidemiol
December 2024
National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Background: Deaths in Australia and other high-income countries increasingly involve multiple conditions. However, key burden of disease measures typically only use the underlying cause of death (UC). We quantified sex and cause-specific years of life lost (YLL) based on UC compared with a method integrating multiple causes of death.
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