Area-level poverty and preterm birth risk: a population-based multilevel analysis

Poverty and neighborhood opportunity effects on neonate DNAm developmental age

BACKGROUND

Children from families with low socioeconomic status (SES), as determined by income, experience several negative outcomes, such as higher rates of newborn mortality and behavioral issues. Moreover, associations between DNA methylation and low income or poverty status are evident beginning at birth, suggesting prenatal influences on offspring development. Recent evidence suggests neighborhood opportunities may protect against some of the health consequences of living in low income households. The goal of this study was to assess whether neighborhood opportunities moderate associations between household income (HI) and neonate developmental maturity as measured with DNA methylation.

METHODS

Umbilical cord blood DNA methylation data was available in 198 mother-neonate pairs from the larger CANDLE cohort. Gestational age acceleration was calculated using an epigenetic clock designed for neonates. Prenatal HI and neighborhood opportunities measured with the Childhood Opportunity Index (COI) were regressed on gestational age acceleration controlling for sex, race, and cellular composition.

RESULTS

Higher HI was associated with higher gestational age acceleration (B = .145, t = 4.969, p = 1.56x10-6, 95% CI [.087, .202]). Contrary to expectation, an interaction emerged showing higher neighborhood educational opportunity was associated with lower gestational age acceleration at birth for neonates with mothers living in moderate to high HI (B = -.048, t = -2.08, p = .03, 95% CI [-.092, -.002]). Female neonates showed higher gestational age acceleration at birth compared to males. However, within males, being born into neighborhoods with higher social and economic opportunity was associated with higher gestational age acceleration.

CONCLUSION

Prenatal HI and neighborhood qualities may affect gestational age acceleration at birth. Therefore, policy makers should consider neighborhood qualities as one opportunity to mitigate prenatal developmental effects of HI.

The vaginal immunoproteome for the prediction of spontaneous preterm birth: A retrospective longitudinal study

Background

Preterm birth is the leading cause of neonatal morbidity and mortality worldwide. Most cases of preterm birth occur spontaneously and result from preterm labor with intact (spontaneous preterm labor [sPTL]) or ruptured (preterm prelabor rupture of membranes [PPROM]) membranes. The prediction of spontaneous preterm birth (sPTB) remains underpowered due to its syndromic nature and the dearth of independent analyses of the vaginal host immune response. Thus, we conducted the largest longitudinal investigation targeting vaginal immune mediators, referred to herein as the immunoproteome, in a population at high risk for sPTB.

Methods

Vaginal swabs were collected across gestation from pregnant women who ultimately underwent term birth, sPTL, or PPROM. Cytokines, chemokines, growth factors, and antimicrobial peptides in the samples were quantified via specific and sensitive immunoassays. Predictive models were constructed from immune mediator concentrations.

Results

Throughout uncomplicated gestation, the vaginal immunoproteome harbors a cytokine network with a homeostatic profile. Yet, the vaginal immunoproteome is skewed toward a pro-inflammatory state in pregnant women who ultimately experience sPTL and PPROM. Such an inflammatory profile includes increased monocyte chemoattractants, cytokines indicative of macrophage and T-cell activation, and reduced antimicrobial proteins/peptides. The vaginal immunoproteome has improved predictive value over maternal characteristics alone for identifying women at risk for early (<34 weeks) sPTB.

Conclusions

The vaginal immunoproteome undergoes homeostatic changes throughout gestation and deviations from this shift are associated with sPTB. Furthermore, the vaginal immunoproteome can be leveraged as a potential biomarker for early sPTB, a subset of sPTB associated with extremely adverse neonatal outcomes.

Funding

This research was conducted by the Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS) under contract HHSN275201300006C. ALT, KRT, and NGL were supported by the Wayne State University Perinatal Initiative in Maternal, Perinatal and Child Health.

Maternal birth weight is an indicator of preterm delivery: the Japan environment and children's study

This study aimed to investigate the association between maternal birth weight (MBW) with preterm delivery (PTD) in the Japanese population. To this end, a total of 78,972 Japanese pregnant women were included in a prospective birth cohort study. Multiple logistic regression and multinominal logistic regression models were applied to investigate the associations of MBW with PTD (delivery from 22 to < 37 weeks of gestation), early PTD (delivery from 22 to < 34 weeks), and late PTD (delivery from 34 to < 37 weeks). The results showed that MBW was inversely associated with PTD, early PTD, and late PTD (p-for-trend < 0.0001, 0.0014, and < 0.0001, respectively). The adjusted odds ratios per each 500 g of MBW decrease were 1.167 (95% confidence interval [CI]: 1.118-1.218) for PTD, 1.174 (95% CI: 1.070-1.287) for early PTD and 1.151 (95% CI: 1.098-1.206) for late PTD. The effect size of the association of MBW with early PTD was similar to that with late PTD. This study demonstrated for the first time an association of a low MBW with PTD, early PTD, and late PTD in a Japanese nationwide cohort.

Neonatal Therapy Staffing in the United States and Relationships to Neonatal Intensive Care Unit Type and Location, Level of Acuity, and Population Factors

OBJECTIVES

This study aimed to (1) estimate the total pool of neonatal therapists (occupational therapists, physical therapists, and speech-language pathologists who work in the neonatal intensive care unit [NICU]) and the average number represented in each U.S. based NICU, and (2) investigate the relationships between the number and type of neonatal therapy team members to NICU/hospital, population, and therapy factors.

STUDY DESIGN

This study used several methods of data collection (surveys, phone calls, and web site searches) that were combined to establish a comprehensive list of factors across each NICU in the United States.

RESULTS

We estimate that there are 2,333 full-time equivalent (FTE) positions designated to neonatal therapy coverage, with 4,232 neonatal therapists covering those FTEs. Among 564 NICUs with available neonatal therapy staffing data, 432 (76%) had a dedicated therapy team, 103 (18%) had pro re nata (as the circumstances arise; PRN) therapy coverage only, and 35 (6%) had no neonatal therapy team. Having a dedicated therapy team was more likely in level-IV (n = 112; 97%) and -III (n = 269; 83%) NICUs compared with level-II NICUs (n = 51; 42%; p < 0.001). Having a dedicated therapy team was related to having more NICU beds (p < 0.001), being part of a free-standing children's hospital or children's hospital within a hospital (p < 0.001), and being part of an academic medical center or community hospital (p < 0.001). Having a dedicated therapy team was more common in the Southeast, Midwest, Southwest, and West (p = 0.001) but was not related to the proportion of the community living in poverty or belonging to racial/ethnic minorities (p > 0.05). There was an average of 17 beds per neonatal therapy FTE, a good marker of therapy coverage based on NICU size. Three-hundred U.S. based NICUs (22%) had at least one Certified Neonatal Therapist (CNT) in early 2020, with CNT presence being more likely in higher acuity NICUs (59% of level-IV NICUs had at least one CNT).

CONCLUSION

Understanding the composition of neonatal therapy teams at different hospitals across the U.S. can drive change to expand neonatal therapy services aimed at optimizing outcomes of high-risk infants and families.

KEY POINTS

· We estimated that there are 4,232 neonatal therapists working in NICUs in the United States.. · Dedicated therapy teams for the NICU are more common in large, high acuity NICUs.. · An average of 17 beds per neonatal therapy FTE was observed.. · In 2020, 22% of NICUs had CNTs, and CNTs were more common in large and high acuity NICUs.. · Benchmarking neonatal therapy staffing can aid in expanding NICU therapy services where needed..

Neighborhood Income Is Associated with Health Care Use in Pediatric Short Bowel Syndrome

OBJECTIVE

To evaluate associations between neighborhood income and burden of hospitalizations for children with short bowel syndrome (SBS).

STUDY DESIGN

We used the Pediatric Health Information System (PHIS) database to evaluate associations between neighborhood income and hospital readmissions, readmissions for central line-associated bloodstream infections (CLABSI), and hospital length of stay (LOS) for patients <18 years with SBS hospitalized between January 1, 2006, and October 1, 2015. We analyzed readmissions with recurrent event analysis and analyzed LOS with linear mixed effects modeling. We used a conceptual model to guide our multivariable analyses, adjusting for race, ethnicity, and insurance status.

RESULTS

We included 4289 children with 16 347 hospitalizations from 43 institutions. Fifty-seven percent of the children were male, 21% were Black, 19% were Hispanic, and 67% had public insurance. In univariable analysis, children from low-income neighborhoods had a 38% increased risk for all-cause hospitalizations (rate ratio [RR] 1.38, 95% CI 1.10-1.72, P = .01), an 83% increased risk for CLABSI hospitalizations (RR 1.83, 95% CI 1.37-2.44, P < .001), and increased hospital LOS (β 0.15, 95% CI 0.01-0.29, P = .04). In multivariable analysis, the association between low-income neighborhoods and elevated risk for CLABSI hospitalizations persisted (RR 1.70, 95% CI 1.23-2.35, P < .01, respectively).

CONCLUSIONS

Children with SBS from low-income neighborhoods are at increased risk for hospitalizations due to CLABSI. Examination of specific household- and neighborhood-level factors contributing to this disparity may inform equity-based interventions.

Biological and environmental factors may affect children's executive function through motor and sensorimotor development: Preterm birth and cerebral palsy

Disruptive biological and environmental factors may undermine the development of children's motor and sensorimotor skills. Since the development of cognitive skills, including executive function, is grounded in early motor and sensorimotor experiences, early delays or impairments in motor and sensorimotor processing often trigger dynamic developmental cascades that lead to suboptimal executive function outcomes. The purpose of this perspective paper is to link early differences in motor/sensorimotor processing to the development of executive function in children born preterm or with cerebral palsy. Uncovering such links in clinical populations would improve our understanding of developmental pathways and key motor and sensorimotor skills that are antecedent and foundational for the development of executive function. This knowledge will allow the refinement of early interventions targeting motor and sensorimotor skills with the goal of proactively improving executive function outcomes in at-risk populations.

Socio-economic status and other potential risk factors for language development in the first year of life

A wide variety of language skills has been shown to be compromised in children from low socioeconomic status (SES). However, few studies have investigated the effect of SES on language development in infants. The aim of this study is two-fold: to investigate when the first SES-effects on language can be observed and to explore the effects of three variables often claimed to be linked to SES - gestational duration, stress and parent-child interaction - on language development. Parents/caregivers of 539 Dutch-acquiring infants aged 8-13 months from mid to high SES backgrounds completed a questionnaire including the LENA Developmental Snapshot (Gilkerson et al., 2017a) and the Brigance Parent-Child Interaction Scale (Glascoe & Brigance, 2002). No association was found between SES and language development. However, the results suggest that corrected age and parent-child interaction positively influence language development at this early age.

Advocacy in neonatology: current issues and introduction to the series

Advocacy is an increasingly important skill for neonatologists. As social factors play a greater influence on short & long-term newborn outcomes, neonatal physicians must be attentive to policy factors and work to ensure they benefit the health of both patients and the specialty. In this article, we review advocacy issues of current relevance to neonatal practice, including the "Born Alive Executive Order," the "Newborn Screening Saves Lives Act," subspecialty loan repayment and legislation related to donor human milk, as well as introduce topics further discussed as part of the American Academy of Pediatrics Section on Neonatal-Perinatal Medicine Advocacy Series.

Associations Between Preterm Birth, Inhibitory Control-Implicated Brain Regions and Tracts, and Inhibitory Control Task Performance in Children: Consideration of Socioeconomic Context

Preterm birth (PTB) is associated with increased risk for unfavorable outcomes such as deficits in attentional control and related brain structure alterations. Crucially, PTB is more likely to occur within the context of poverty. The current study examined associations between PTB and inhibitory control (IC) implicated brain regions/tracts and task performance, as well as the moderating role of early life poverty on the relation between PTB and IC-implicated regions/tracts/task performance. 2,899 children from the ABCD study were sampled for this study. Mixed effects models examined the relation between PTB and subsequent IC performance as well as prefrontal gray matter volume, white matter fractional anisotropy (FA), and mean diffusivity (MD). Household income was examined as a moderator. PTB was significantly associated with less improvement in IC task performance over time and decreased FA in left uncinate fasciculus (UF) and cingulum bundle (CB). Early life poverty moderated the relation between PTB and both CB FA and UF MD.

Impact of social-, health-, and disability-related factors on pregnancy outcomes in women with intellectual and developmental disabilities: A population-based latent class analysis

BACKGROUND

Studies have shown women with intellectual and developmental disabilities (IDD) have elevated risks of perinatal complications, but few studies have examined how social, health, and disability-related factors affect these risks.

OBJECTIVES

To identify and describe subgroups of pregnant women with IDD according to social, health, and disability-related factors and examine the risks of perinatal complications in these subgroups compared to women without IDD.

METHODS

We performed a population-based cohort study in Ontario, Canada, of women with (n = 1922) and without (n = 1,126,854) IDD, with a singleton birth in 2003-2018. We used latent class analysis (LCA) to identify subgroups of women according to social (e.g., age), health (e.g., chronic medical conditions), and disability-related (e.g., IDD type) characteristics. Modified Poisson regression was then used to compare the risks of hypertensive disorders of pregnancy, cesarean delivery, and preterm birth across identified subgroups to women without IDD.

RESULTS

The LCA identified 4 classes of women with IDD: (1) young women who were mostly healthy and had little primary care before pregnancy (n = 253); (2) older women who were mostly healthy (n = 795); (3) young to mid-aged women who had significant comorbidities (n = 181); and (4) young women, many of whom were autistic, who had some medical comorbidities and significant psychiatric comorbidities (n = 693). Class 3 consistently had the greatest risks of perinatal complications, across all IDD groups, compared to women without IDD.

CONCLUSIONS

These findings underscore the importance of multidisciplinary care approaches tailored to the needs of at-risk women with IDD, in the preconception and perinatal periods.

Sociodemographic factors associated with tracheostomy and mortality in bronchopulmonary dysplasia

OBJECTIVES

We sought to investigate how race, ethnicity, and socioeconomic status relate to tracheostomy insertion and post-tracheostomy mortality among infants with bronchopulmonary dysplasia (BPD).

METHODS

The Vizient Clinical Database/Resource Manager was queried to identify infants born ≤32 weeks with BPD admitted to US hospitals from January 2012 to December 2020. Markers of socioeconomic status were linked to patient records from the Agency for Healthcare Research and Quality's Social Determinants of Health Database. Regression models were used to assess trends in annual tracheostomy insertion rate and odds of tracheostomy insertion and post-tracheostomy mortality, adjusting for sociodemographic and clinical factors.

RESULTS

There were 40,021 ex-premature infants included in the study, 1614 (4.0%) of whom received a tracheostomy. Tracheostomy insertion increased from 2012 to 2017 (3.1%-4.1%), but decreased from 2018 to 2020 (3.3%-1.6%). Non-Hispanic Black infants demonstrated a 25% higher odds (aOR 1.25, 1.09-1.43) and Hispanic infants demonstrated a 20% lower odds (aOR 0.80, 0.65-0.96) of tracheostomy insertion compared with non-Hispanic White infants. Patients receiving public insurance had increased odds of tracheostomy insertion (aOR 1.15, 1.03-1.30), but there was no relation between other metrics of socioeconomic status and tracheostomy insertion within our cohort. In-hospital mortality among the tracheostomy-dependent was 14.1% and was not associated with sociodemographic factors.

CONCLUSIONS

Disparities in tracheostomy insertion are not accounted for by differences in socioeconomic status or the presence of additional neonatal morbidities. Post-tracheostomy mortality does not demonstrate the same relationships. Further investigation is needed to explore the source and potential mitigators of the identified disparities.

Adequacy of Prenatal Care Utilization in a Pathways Community HUB Model Program: Results of a Propensity Score Matching Analysis

INTRODUCTION

The THRIVE (Toward Health Resiliency and Infant Vitality & Equity) program aims to reduce racial disparities in birth outcomes by addressing individual risks and social determinants of health using the Pathways Community HUB model. This study examines (1) racial disparities among THRIVE participants and propensity score matched (PSM) comparisons in adequacy of prenatal care, and whether THRIVE participation (2) attenuates such disparities, and (3) improves odds of having adequate prenatal care.

METHODS

Birth certificate and Care Coordination Systems client data were merged for analysis. PSM was employed for 1:1 matching per birth year (2017-2020) and race for participating and non-participating first-time births in Stark County, Ohio. Additional matching variables were age, marital status, education attainment, birth quarter, census tract poverty rate, and Women Infant & Children (WIC) enrollment. Logistic regression assessed racial differences in adequate prenatal care utilization (APNCU) and examined differences between the intervention and comparison groups on APNCU.

RESULTS

THRIVE participants averaged more prenatal care visits and had a higher percentage of adequate care utilization than the comparison group. THRIVE program participation, educational attainment, and WIC enrollment were associated with higher odds of adequate prenatal care utilization (OR 4.74; 95% CI 2.62, 8.57). Race was not significant for APNCU.

DISCUSSION

Although accessing and maintaining prenatal care is only one aspect of improving birth outcomes, the findings contribute to the understanding of the effects of the program of interest and other similar programs on factors which may promote desired birth outcomes in high-risk populations.

Analysis of an Association between Preterm Birth and Parental Educational Level in Japan Using National Data

Preterm birth rate depending on parental educational level in recent years has not been surveyed in Japan. In this study, we showed the trend in preterm birth rate depending on parental educational level from 2000 to 2020 by linking data from the Census regarding individuals' educational level and parents in birth data of the vital statistics. Four types of parental educational level, namely junior high school, high school, technical school or junior college, and university or graduate school, were compared. Slope and relative indexes of inequality for preterm birth by educational level were computed by binomial models. Data on 3,148,711 births and 381,129,294 people were used in the analysis, and data on 782,536 singleton births were used after data linkage. The preterm birth rate (%) for junior high school graduate mothers and fathers was 5.09 and 5.20 in 2020, respectively. Contrarily, the preterm birth rate (%) for parents who graduated from a university or graduate school was 4.24 for mothers and 4.39 for fathers, and the rate tended to increase as educational level decreased, irrespective of parental gender. Results of inequality indexes showed that a statistically significant inequality by parental educational level persisted from 2000 to 2020.

Impact of maternal factors, environmental factors, and race on necrotizing enterocolitis

Necrotizing enterocolitis (NEC) is a complex disease with a multifactorial etiology. As the leading cause of intestinal morbidity and mortality among premature infants, many resources are being dedicated to neonatal care and molecular targets in the newborn intestine. However, NEC is heavily influenced by maternal and perinatal factors as well. Given its nature, preventive approaches to NEC are more likely to improve outcomes than new treatment strategies. Therefore, this review focuses on maternal, environmental, and racial factors associated with the development of NEC, with an emphasis on those that may be modifiable to decrease the incidence of the disease.

Nonsurgical periodontal treatment during pregnancy and rates of preterm birth

BACKGROUND

Periodontitis during pregnancy is associated with an increased risk of preterm birth (<37 weeks of gestation) or low birthweight (<2500 g) offspring. Beyond periodontal disease, the risk of preterm birth varies both by previous history of preterm birth and in association with social determinants prevalent among vulnerable and marginalized populations. This study hypothesized that the timing of periodontal treatment during pregnancy and/or social vulnerability measures modified the response to dental scaling and root planing for the treatment of periodontitis and prevention of preterm birth.

OBJECTIVE

This study aimed to determine the association of timing of dental scaling and root planing for gravidae with a diagnosed periodontal disease on the rates of preterm birth or low birthweight offspring among subgroups or strata of gravidae as part of the Maternal Oral Therapy to Reduce Obstetric Risk randomized controlled trial. All participants in the study had clinically diagnosed periodontal disease and differed by the timing of the periodontal treatment (dental scaling and root planing at <24 weeks [per protocol] or after delivery) or by baseline characteristics. Although all participants met the well-accepted clinical criteria for periodontitis, not all participants acknowledged a priori that they had periodontal disease.

STUDY DESIGN

This was a per-protocol analysis of data from 1455 participants of the Maternal Oral Therapy to Reduce Obstetric Risk trial evaluating dental scaling and root planing on the risk of preterm birth or low birthweight offspring. Adjusted multiple logistic regression to control for confounders was used to estimate associations comparing the timing of periodontal treatment in pregnancy to receiving treatment after pregnancy (referent control) on rates of preterm birth or low birthweight among subgroups of gravidae with known periodontal disease. Study analyses were stratified, and the associations with the following characteristics-body mass index, self-described race and ethnicity, household income, maternal education, recency of immigration, and self-acknowledgment of poor oral health, were explored.

RESULTS

Dental scaling and root planing during the second or third trimester of pregnancy were associated with an increased adjusted odds ratio of preterm birth among those at the lower body mass index strata (18.5 to <25.0 kg/m²) (adjusted odds ratio, 2.21; 95% confidence interval, 1.07-4.98), but not among individuals who were overweight (body mass index of 25.0 to <30.0 kg/m²; adjusted odds ratio, 0.68; 95% confidence interval, 0.29-1.59) or obese (body mass index of ≥30 kg/m²; adjusted odds ratio, 1.26; 95% confidence interval, 0.65-2.49). There was no significant difference in pregnancy outcomes related to the other evaluated variables: self-described race and ethnicity, household income, maternal education, immigration status, or self-acknowledgment of poor oral health.

CONCLUSION

In this per-protocol analysis of the Maternal Oral Therapy to Reduce Obstetric Risk trial, dental scaling and root planing had no preventive benefit against adverse obstetrical outcomes and were associated with increased odds of preterm birth among individuals at lower body mass index strata. There was no significant difference in the occurrence of preterm birth or low birthweight after dental scaling and root planing periodontitis treatment concerning other analyzed social determinants of preterm birth.

A Comprehensive Review on Social Inequalities and Pregnancy Outcome-Identification of Relevant Pathways and Mechanisms

Scientific literature tends to support the idea that the pregnancy and health status of fetuses and newborns can be affected by maternal, parental, and contextual characteristics. In addition, a growing body of evidence reports that social determinants, measured at individual and/or aggregated level(s), play a crucial role in fetal and newborn health. Numerous studies have found social factors (including maternal age and education, marital status, pregnancy intention, and socioeconomic status) to be linked to poor birth outcomes. Several have also suggested that beyond individual and contextual social characteristics, living environment and conditions (or "neighborhood") emerge as important determinants in health inequalities, particularly for pregnant women. Using a comprehensive review, we present a conceptual framework based on the work of both the Commission on Social Determinants of Health and the World Health Organization (WHO), aimed at describing the various pathways through which social characteristics can affect both pregnancy and fetal health, with a focus on the structural social determinants (such as socioeconomic and political context) that influence social position, as well as on intermediary determinants. We also suggest that social position may influence more specific intermediary health determinants; individuals may, on the basis of their social position, experience differences in environmental exposure and vulnerability to health-compromising living conditions. Our model highlights the fact that adverse birth outcomes, which inevitably lead to health inequity, may, in turn, affect the individual social position. In order to address both the inequalities that begin in utero and the disparities observed at birth, it is important for interventions to target various unhealthy behaviors and psychosocial conditions in early pregnancy. Health policy must, then, support: (i) midwifery availability and accessibility and (ii) enhanced multidisciplinary support for deprived pregnant women.

Giving birth in rural Arctic Greenland results from an Eastern Greenlandic birth cohort

Eastern Greenland is one of the most remote areas in the world. Approximately 3,500 people lives in two small towns and five villages. There is limited information on birth outcomes in Eastern Greenland. A cohort of all birthing women from Eastern Greenland from 2000 to 2017 was established and pregnancy, birth, and neonatal outcomes were described. A total of 1,344 women and 1,355 children were included in the cohort where 14.5% of the women were 18 years or younger, and 36.2% were single parents. Most women, 84.8% gave birth in East Greenland and 92.9%, experienced a vaginal, non-instrumental birth. The overall caesarean section rate was 6.5%. The rate of premature births was 10.1% and 2.2% of the children were born with malformations. The rate of premature births was high, preventive initiatives such as midwifery-led continuity of care including a stronger focus on the pregnant woman's social and mental life situation may be recommended. Organisation of maternity services in East Greenland may benefit from a strong focus on public health, culture, and setting specific challenges, including the birth traditions of the society.

Association between preterm births and socioeconomic development: analysis of national data

Background

The increasing prevalence of preterm birth, which is a global phenomenon, is attributable to the increased medical indications, artificial gestations, and some socioeconomic factors. This study was conducted to identify whether development and equality indices are associated with the incidence of preterm birth, specifically, spontaneous and elective preterm births.

Methods

This retrospective observational study comprised an analysis of data on live births from 2019 in Brazil and on socioeconomic indices that were derived from census information in 2017. Data were summarised using absolute and relative frequencies. Spearman’s correlation was used to determine the correlation between socioeconomic factors and the preterm birth rate. Multiple beta regression analysis was performed to determine the best model of socioeconomic covariates and preterm birth rate. The significance level was set at 5%.

Results

In 2019 in Brazil, the preterm birth rate was 11.03%, of which 58% and 42% were spontaneous and elective deliveries, respectively. For all preterm births, Spearman’s correlation varied from ρ = 0.4 for the Gini Index and ρ =  − 0.24 for illiteracy. The best fit modelled the spontaneous preterm birth fraction as a negative function of the Human Development Index (HDI). The best-fit model considered the expected elective preterm birth fraction as a positive function of the HDI and as a negative function of the Gini Index, which was used as a precision parameter.

Conclusions

We observed a reduction in the fraction of spontaneous preterm births; however, the distribution was not uniform in the territory: higher rates of spontaneous preterm birth were noticed in the north, northeast, and mid-west regions. Thus, areas with lower education levels and inequal income distribution have a higher proportion of spontaneous preterm birth. The fraction of elective preterm birth was positively associated with more advantaged indices of socioeconomic status.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14376-2.

Boston Birth Cohort Profile: Rationale and Study Design

In 1998, the Boston Birth Cohort (BBC) was initiated at Boston Medical Center (BMC) in response to persistently high rates of preterm birth (PTB, defined as birth before 37 weeks of gestation) in the US population and the longstanding profound PTB disparity among Black, Indigenous, and people of color (BIPOC). The BBC encompasses two linked study protocols: The Preterm Birth Study serves as the baseline recruitment in the BBC. It aims to address fundamental questions about the causes and consequences of PTB. The study oversamples preterm babies using a case/control study design, in which cases are defined as mothers who deliver a preterm and/or low birthweight baby (<2500 grams regardless of gestational age). Controls are enrolled at a 2:1 control/case ratio and matched by maternal age (±5 years), self-reported race and ethnicity, and date of delivery (± 7 days for case delivery). From inception, it was designed as a comprehensive gene-environmental study of PTB. As a natural extension, the Children's Health Study, under a separate but linked IRB protocol, is a longitudinal follow-up study of the participants who were recruited at birth in the Preterm Birth Study and who continue pediatric care at BMC. This linked model allows for investigation of early life origins of pediatric and chronic disease in a prospective cohort design. The BBC is one of the largest and longest NIH-funded prospective birth cohort studies in the US, consisting of 8733 mother-child dyads enrolled in the Preterm Birth Study at birth, and of those, 3,592 children have been enrolled in the Children's Health Study, with a median follow-up of 14.5 years. The BBC mirrors the urban, under-resourced and underrepresented BIPOC population served by BMC. A high proportion of BBC children were born prematurely and had chronic health conditions (e.g., asthma, obesity and elevated blood pressure) in childhood. The BBC's long-term goal has been to build a large, comprehensive database (epidemiological, clinical, multi-omics) and biospecimen repository to elucidate early life origins of pediatric and chronic diseases and identify modifiable upstream factors (e.g., psychosocial, environmental, nutritional) to improve health across the life course for BIPOC mothers and children.

Boston Birth Cohort profile: rationale and study design

In1998, the Boston Birth Cohort (BBC) was initiated at Boston Medical Center (BMC) in response to persistently high rates of preterm birth (PTB, defined as birth before 37 weeks of gestation) in the US population and the longstanding profound PTB disparity among Black, Indigenous, and people of color (BIPOC). The BBC encompasses two linked study protocols: The PTB Study serves as the baseline recruitment in the BBC. It aims to address fundamental questions about the causes and consequences of PTB. The study oversamples preterm babies using a case/control study design, in which cases are defined as mothers who deliver a preterm and/or low birthweight baby (<2500 grams regardless of gestational age). Controls are enrolled at a 2:1 control/case ratio and matched by maternal age (±5 years), self-reported race and ethnicity, and date of delivery (± 7 days for case delivery). From inception, it was designed as a comprehensive gene-environmental study of PTB. As a natural extension, the Children's Health Study, under a separate but linked Institutional Review Board protocol, is a longitudinal follow-up study of the participants who were recruited at birth in the PTB Study and who continue pediatric care at BMC. This linked model allows for investigation of early life origins of pediatric and chronic disease in a prospective cohort design. The BBC is one of the largest and longest National Institutes of Health-funded prospective birth cohort studies in the United States, consisting of 8733 mother-child dyads enrolled in the PTB Study at birth, and of those, 3592 children have been enrolled in the Children's Health Study, with a median follow-up of 14.5 years. The BBC mirrors the urban, underresourced, and underrepresented BIPOC population served by BMC. A high proportion of BBC children were born prematurely and had chronic health conditions (e.g., asthma, obesity, and elevated blood pressure) in childhood. The BBC's long-term goal has been to build a large, comprehensive database (epidemiological, clinical, and multiomics) and biospecimen repository to elucidate early life origins of pediatric and chronic diseases and identify modifiable upstream factors (e.g., psychosocial, environmental, and nutritional) to improve health across the life course for BIPOC mothers and children.

Social inequalities in access to care at birth and neonatal mortality: an observational study

OBJECTIVE

To look at the association of socioeconomic status (SES) with the suitability of the maternity where children are born and its association with mortality.

DESIGN

Retrospective analysis of a prospective cohort constituted using hospital discharge databases.

SETTING

France POPULATION: Live births in 2012-2014 in maternity hospitals in mainland France followed until discharge from the hospital.

MAIN OUTCOME MEASURE

Unsuitability of the maternity to newborns' needs based on birth weight and gestational age, early transfers (within 24 hours of birth) and in-hospital mortality.

RESULTS

2 149 454 births were included, among which 155 646 (7.2%) were preterm. Preterm newborns with low SES were less frequently born in level III maternities than those with high SES. They had higher odds of being born in an unsuitable maternity (OR=1.174, 95% CI 1.114 to 1.238 in the lowest SES quintile compared with the highest), and no increase in the odds of an early transfer (OR=0.966, 95% CI 0.849 to 1.099 in the lowest SES quintile compared with the highest). Overall, newborns from the lowest SES quintile had a 40% increase in their odds of dying compared with the highest (OR=1.399, 95% CI 1.235 to 1.584).

CONCLUSIONS

Newborns with the lowest SES were less likely to be born in level III maternity hospitals compared with those with the highest SES, despite having higher prematurity rates. This was associated with a significantly higher mortality in newborns with the lowest SES. Strategies must be developed to increase health equity among mothers and newborns.

Protective Places: the Relationship between Neighborhood Quality and Preterm Births to Black Women in Oakland, California (2007-2011)

Black women have the highest incidence of preterm birth (PTB). Upstream factors, including neighborhood context, may be key drivers of this increased risk. This study assessed the relationship between neighborhood quality, defined by the Healthy Places Index, and PTB among Black women who lived in Oakland, California, and gave birth between 2007 and 2011 (N = 5418 women, N = 107 census tracts). We found that, compared with those living in lower quality neighborhoods, women living in higher quality neighborhoods had 20-38% lower risk of PTB, independent of confounders. Findings have implications for place-based research and interventions to address racial inequities in PTB.

Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data

Preterm birth (PTB) is a phenomenon that brings risks and challenges for the survival of the newborn child. Despite many advances in research, not all the causes of PTB are already clear. It is understood that PTB risk is multi-factorial and can also be associated with socioeconomic factors. Thereby, this article seeks to use unsupervised learning techniques to stratify PTB risk in Brazil using only socioeconomic data. Through the use of datasets made publicly available by the Federal Government of Brazil, a new dataset was generated with municipality-level socioeconomic data and a PTB occurrence rate. This dataset was processed using various unsupervised learning techniques, such as k-means, principal component analysis (PCA), and density-based spatial clustering of applications with noise (DBSCAN). After validation, four clusters with high levels of PTB occurrence were discovered, as well as three with low levels. The clusters with high PTB were comprised mostly of municipalities with lower levels of education, worse quality of public services-such as basic sanitation and garbage collection-and a less white population. The regional distribution of the clusters was also observed, with clusters of high PTB located mostly in the North and Northeast regions of Brazil. The results indicate a positive influence of the quality of life and the offer of public services on the reduction in PTB risk.

Does a Rising Median Income Lift All Birth Weights? County Median Income Changes and Low Birth Weight Rates Among Births to Black and White Mothers

Policy Points Policies that increase county income levels, particularly for middle-income households, may reduce low birth weight rates and shrink disparities between Black and White infants. Given the role of aggregate maternal characteristics in predicting low birth weight rates, policies that increase human capital investments (e.g., funding for higher education, job training) could lead to higher income levels while improving population birth outcomes. The association between county income levels and racial disparities in low birth weight is independent of disparities in maternal risks, and thus a broad set of policies aimed at increasing income levels (e.g., income supplements, labor protections) may be warranted.

CONTEXT

Low birth weight (LBW; <2,500 grams) and infant mortality rates vary among place and racial group in the United States, with economic resources being a likely fundamental contributor to these disparities. The goals of this study were to examine time-varying county median income as a predictor of LBW rates and Black-White LBW disparities and to test county prevalence and racial disparities in maternal sociodemographic and health risk factors as mediators.

METHODS

Using national birth records for 1992-2014 from the National Center for Health Statistics, a total of approximately 27.4 million singleton births to non-Hispanic Black and White mothers were included. Data were aggregated in three-year county-period observations for 868 US counties meeting eligibility requirements (n = 3,723 observations). Sociodemographic factors included rates of low maternal education, nonmarital childbearing, teenage pregnancy, and advanced-age pregnancy; and health factors included rates of smoking during pregnancy and inadequate prenatal care. Among other covariates, linear models included county and period fixed effects and unemployment, poverty, and income inequality.

FINDINGS

An increase of $10,000 in county median income was associated with 0.34 fewer LBW cases per 100 live births and smaller Black-White LBW disparities of 0.58 per 100 births. Time-varying county rates of maternal sociodemographic and health risks mediated the association between median income and LBW, accounting for 65% and 25% of this estimate, respectively, but racial disparities in risk factors did not mediate the income association with Black-White LBW disparities. Similarly, county median income was associated with very low birth weight rates and related Black-White disparities.

CONCLUSIONS

Efforts to increase income levels-for example, through investing in human capital, enacting labor union protections, or attracting well-paying employment-have broad potential to influence population reproductive health. Higher income levels may reduce LBW rates and lead to more equitable outcomes between Black and White mothers.

A Simple Method to Establish Sufficiency and Stability in Meta-Analyses: With Application to Fine Particulate Matter Air Pollution and Preterm Birth

Fine particulate matter air pollution (PM_2.5) is a potential cause of preterm birth. Inconsistent findings from observational studies have motivated researchers to conduct more studies, but some degree of study heterogeneity is inevitable. The consequence of this feedback is a burgeoning research effort that results in marginal gains. The aim of this study was to develop and apply a method to establish the sufficiency and stability of estimates of associations as they have been published over time. Cohort studies identified in a recent systematic review and meta-analysis on the association between preterm birth and whole-pregnancy exposure to PM_2.5 were selected. The estimates of the cohort studies were pooled with cumulative meta-analysis, whereby a new meta-analysis was run for each new study published over time. The relative risks (RR) and 95% confidence interval (CI) limits needed for a new study to move the cumulative RR to 1.00 were calculated. Findings indicate that the cumulative relative risks (cRR) for PM_2.5 (cRR 1.07, 95% CI 1.03, 1.12) converged in 2015 (RR 1.07, 95% CI 1.01, 1.14). To change conclusions to a null association, a new study would need to observe a protective RR of 0.93 (95% CI limit 1.02) with precision equivalent to that achieved by all past 24 cohort studies combined. Preterm birth is associated with elevated PM_2.5, and it is highly unlikely that any new observational study will alter this conclusion. Consequently, establishing whether an observational association exists is now less relevant an objective for future studies than characterising risk (magnitude, impact, pathways, populations and potential bias) and interventions. Sufficiency and stability can be effectively applied in meta-analyses and have the potential to reduce research waste.

Short-Term and Long-Term Educational Outcomes of Infants Born Moderately and Late Preterm

OBJECTIVE

To assess the relationship of moderate and late preterm birth (32^0/7-36^6/7 weeks) to long-term educational outcomes.

STUDY DESIGN

We hypothesized that moderate and late preterm birth would be associated with adverse outcomes in elementary school. To test this, we linked vital statistics patient discharge data from the Office of Statewide Health Planning and Development including birth outcomes, to the 2015-2016 school year administrative data of a large, urban school district (n = 72 316). We compared the relative risk of moderate and late preterm and term infants for later adverse neurocognitive and behavioral outcomes in kindergarten through the 12th grade.

RESULTS

After adjusting for socioeconomic status, compared with term birth, moderate and late preterm birth was associated with an increased risk of low performance in mathematics and English language arts, chronic absenteeism, and suspension. These risks emerged in kindergarten through grade 2 and remained in grades 3-5, but seemed to wash out in later grades, with the exception of suspension, which remained through grades 9-12.

CONCLUSIONS

Confirming our hypothesis, moderate and late preterm birth was associated with adverse educational outcomes in late elementary school, indicating that it is a significant risk factor that school districts could leverage when targeting early intervention. Future studies will need to test these relations in geographically and socioeconomically diverse school districts, include a wider variety of outcomes, and consider how early interventions moderate associations between birth outcomes and educational outcomes.

Using Clinical History Factors to Identify Bacterial Infections in Young Febrile Infants

OBJECTIVE

To develop a novel predictive model using primarily clinical history factors and compare performance to the widely used Rochester Low Risk (RLR) model.

STUDY DESIGN

In this cross-sectional study, we identified infants brought to one pediatric emergency department from January 2014 to December 2016. We included infants age 0-90 days, with temperature ≥38°C, and documented gestational age and illness duration. The primary outcome was bacterial infection. We used 10 predictors to develop regression and ensemble machine learning models, which we trained and tested using 10-fold cross-validation. We compared areas under the curve (AUCs), sensitivities, and specificities of the RLR, regression, and ensemble models.

RESULTS

Of 877 infants, 67 had a bacterial infection (7.6%). The AUCs of the RLR, regression, and ensemble models were 0.776 (95% CI 0.746, 0.807), 0.945 (0.913, 0.977), and 0.956 (0.935, 0.975), respectively. Using a bacterial infection risk threshold of .01, the sensitivity and specificity of the regression model was 94.6% (87.4%, 100%) and 74.5% (62.4%, 85.4%), compared with 95.5% (87.5%, 99.1%) and 59.6% (56.2%, 63.0%) using the RLR model.

CONCLUSIONS

Compared with the RLR model, sensitivities of the novel predictive models were similar whereas AUCs and specificities were significantly greater. If externally validated, these models, by producing an individualized bacterial infection risk estimate, may offer a targeted approach to young febrile infants that is noninvasive and inexpensive.

Racial Disparities in Necrotizing Enterocolitis

Necrotizing enterocolitis (NEC) is a serious disease of the intestinal tract affecting 5-10% of pre-term infants with up to 50% mortality in those that require surgery. There is wide variation in the rates and outcomes of NEC by race and ethnicity, and the reasons for this disparity are poorly understood. In this article, we review the epidemiology and discuss possible explanations for racial and ethnic differences in NEC. Most of the current evidence investigating the role of race in NEC comes from North America and suggests that Hispanic ethnicity and non-Hispanic Black race are associated with higher risk of NEC compared to non-Hispanic White populations. Differences in pre-term births, breastfeeding rates, and various sociodemographic factors does not fully account for the observed disparities in NEC incidence and outcomes. While genetic studies are beginning to identify candidate genes that may increase or decrease risk for NEC among racial populations, current data remain limited by small sample sizes and lack of validation. Complex interactions between social and biological determinants likely underly the differences in NEC outcomes among racial groups. Larger datasets with detailed social, phenotypic, and genotypic information, coupled with advanced bioinformatics techniques are needed to comprehensively understand racial disparities in NEC.

Gaining a deeper understanding of social determinants of preterm birth by integrating multi-omics data

In the US, high rates of preterm birth (PTB) and profound Black-White disparities in PTB have persisted for decades. This review focuses on the role of social determinants of health (SDH), with an emphasis on maternal stress, in PTB disparity and biological embedding. It covers: (1) PTB disparity in US Black women and possible contributors; (2) the role of SDH, highlighting maternal stress, in the persistent racial disparity of PTB; (3) epigenetics at the interface between genes and environment; (4) the role of the genome in modifying maternal stress-PTB associations; (5) recent advances in multi-omics studies of PTB; and (6) future perspectives on integrating multi-omics with SDH to elucidate the Black-White disparity in PTB. Available studies have indicated that neither environmental exposures nor genetics alone can adequately explain the Black-White PTB disparity. Preliminary yet promising findings of epigenetic and gene-environment interaction studies underscore the value of integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women. In an era of rapid advancements in biomedical sciences and technologies and a growing number of prospective birth cohort studies, we have unprecedented opportunities to advance this field and finally address the long history of health disparities in PTB. IMPACT: This review provides an overview of social determinants of health (SDH) with a focus on maternal stress and its role on Black-White disparity in preterm birth (PTB). It summarizes the available literature on the interplay of maternal stress with key biological layers (e.g., individual genome and epigenome in response to environmental stressors) and significant knowledge gaps. It offers perspectives that such knowledge may provide deeper insight into how SDH affects PTB and why some women are more vulnerable than others and underscores the critical need for integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women.

Geographic Hotspots for Low Birthweight: An Analysis of Counties With Persistently High Rates

This study evaluated persistency in county-level rates of low birthweight outcomes to identify “hotspot counties” and their associated area-level characteristics. Administrative data from the National Center for Health Statistics Birth Data Files, years 2011 to 2016 were used to calculate annual county-level rates of low birthweight. Counties ranking in the worst quintile (Q5) for ≥3 years with a neighboring county in the worst quintile were identified as hotspot counties. Multivariate logistic regression was used to associate county-level characteristics with hotspot designation. Adverse birth outcomes were persistent in poor performing counties, with 52% of counties in Q5 for low birthweight in 2011 remaining in Q5 in 2016. The rate of low birthweight among low birthweight hotspot counties (n = 495) was 1.6 times the rate of low birthweight among non-hotspot counties (9.3% vs 5.8%). The rate of very low birthweight among very low birthweight hotspot counties (n = 387) was twice as high compared to non-hotspot counties (1.8% vs 0.9%). A one standard deviation (6.5%) increase in the percentage of adults with at least a high school degree decreased the probability of low birthweight hotspot designation by 1.7 percentage points (P = .006). A one standard deviation (20%) increase in the percentage of the population that was of minority race/ethnicity increased hotspot designation for low birthweight by 5.7 percentage points (P < .001). Given the association between low birthweight and chronic conditions, hotspot counties should be a focus for policy makers in order to improve health equity across the life course.

Spontaneous very preterm birth in relation to social class, and smoking: a temporal-spatial analysis of routinely collected data in Aberdeen, Scotland (1985-2010)

OBJECTIVE

To examine trends of spontaneous very preterm birth (vPTB) and its relationship with maternal socioeconomic status and smoking.

METHODS

This was a population-based cohort study in Aberdeen Maternity Hospital, UK. The cohort was restricted to spontaneous singleton deliveries occurring in Aberdeen from 1985 to 2010. The primary outcome was very preterm birth which was defined as <32 weeks gestation and the comparison group was deliveries ≥37 weeks of gestation. The main exposures were parental Social Class based on Occupation, Carstairs' deprivation index and smoking during pregnancy. Logistic regression was used to estimate the association between vPTB and the exposures.

RESULTS

There was an increased likelihood of vPTB in those with unskilled-occupations compared to professional-occupations [aOR:2.77 (95%CI:1.54-4.99)], in those who lived in the most deprived areas compared to those in the most affluent [aOR: 2.16 (95% CI: 1.27-3.67)] and in women who smoked compared to those who did not [aOR: 1.74 (95% CI: 1.36-2.21)]. The association with Carstairs index was no longer statistically significant when restricted to smokers but remained significant when restricted to non-smokers.

CONCLUSION

The strongest risk factor for vPTB was maternal smoking while socioeconomic deprivation showed a strong association in non-smokers. Smoking cessation interventions may reduce vPTB. Modifiable risk factors should be explored in deprived areas.

County-level Variation in Low Birthweight and Preterm Birth: An Evaluation of State Medicaid Expansion Under the Affordable Care Act

BACKGROUND

Rates of low birthweight and prematurity vary 2-fold across states in the United States, with increased rates among states with higher concentrations of racial minorities. Medicaid expansion may serve as a mechanism to reduce geographic variation within states that expanded, by improving health and access to care for vulnerable populations.

OBJECTIVE

The objective of this study was to identify the association of Medicaid expansion with changes in county-level geographic variation in rates of low birthweight and preterm births, overall and stratified by race/ethnicity.

RESEARCH DESIGN

We compared changes in the coefficient of variation and the ratio of the 80th-to-20th percentiles using bootstrap samples (n=1000) of counties drawn separately for all births and for white, black, and Hispanic births, separately.

MEASURES

County-level rates of low birthweight and preterm birth.

RESULTS

Before Medicaid expansion, counties in expansion states were concentrated among quintiles with lower rates of adverse birth outcomes and counties in nonexpansion states were concentrated among quintiles with higher rates. In expansion states, county-level variation, measured by the coefficient of variation, declined for both outcomes among all racial/ethnic categories. In nonexpansion states, geographic variation reduced for both outcomes among Hispanic births and for low birthweight among white births, but increased for both outcomes among black births.

CONCLUSIONS

The decrease in county-level variation in adverse birth outcomes among expansion states suggests improved equity in these states. Further reduction in geographic variation will depend largely on policies or interventions that reduce racial disparities in states that did and did not expand Medicaid.

The Role of County Characteristics in Mental Health Service Use by Older African Americans

OBJECTIVE

Older African Americans may underutilize mental health services, although they experience mental health problems at rates comparable with those of whites. Untreated mental disorders contribute to increased risk of morbidity and mortality and decreased quality of life, and therefore, understanding the factors that influence racial disparities in service use is critical. This study examined whether county characteristics were associated with mental health service use by older African Americans after the analyses adjusted for individual characteristics.

METHODS

This study combined individual-level data from the 2008-2012 Medical Expenditure Panel Survey with county-level data for 2008-2012 from the 2013-2014 Area Health Resources Files and county-level data from the 2008-2012 Chronic Conditions Report of the Chronic Conditions Data Warehouse for 1,567 community-dwelling African Americans ages 60 and older. Multilevel logistic regressions were used to examine the role of county characteristics on mental health services use with adjustment for individual-level risk factors.

RESULTS

At the county level, individuals living in a county with a higher proportion of African Americans were less likely to use mental health services. At the individual level, higher income and mental health status were associated with mental health service utilization.

CONCLUSIONS

Among older African Americans, the racial composition of one's county of residence played a role in mental health service use, indicating the need for future research focusing on the relationship between an area's racial composition and mental health service use. Programs may be able to ameliorate racial disparities in mental health care by targeting areas with a higher percentage of African Americans.

Socioeconomic Status of Newborns and Hospital Efficiency: Implications for Hospital Payment Methods

OBJECTIVES

Studies have shown a consistent impact of socioeconomic status at birth for both mother and child; however, no study has looked at its impact on hospital efficiency and financial balance at birth, which could be major if newborns from disadvantaged families have an average length of stay (LOS) longer than other newborns. Our objective was therefore to study the association between socioeconomic status and hospital efficiency and financial balance in that population.

METHODS

A study was carried out using exhaustive national hospital discharge databases. All live births in a maternity hospital located in mainland France between 2012 and 2014 were included. Socioeconomic status was estimated with an ecological indicator and efficiency by variations in patient LOS compared with different mean national LOS. Financial balance was assessed at the admission level through the ratio of production costs and revenues and at the hospital level by the difference in aggregated revenues and production costs for said hospital. Multivariate regression models studied the association between those indicators and socioeconomic status.

RESULTS

A total of 2 149 454 births were included. LOS was shorter than the national means for less disadvantaged patients and longer for the more disadvantaged patients, which increased when adjusted for gestational age, birth weight, and severity. A 1% increase in disadvantaged patients in a hospital's case mix significantly increased the probability that the hospital would be in deficit by 2.6%.

CONCLUSIONS

Reforms should be made to hospital payment methods to take into account patient socioeconomic status so as to improve resource allocation efficiency.

County Context and Mental Health Service Utilization by Older Hispanics

BACKGROUND AND OBJECTIVES

Although older Hispanics experience high rates of depression, they tend to underuse mental health services. The study examined the association between county characteristics and mental health service use among older Hispanics, controlling for individual characteristics.

RESEARCH DESIGN AND METHODS

The study used the 2008-2012 Medical Expenditure Panel Study and linked county-level data from the 2013-2014 Area Health Resources Files and the 2008-2012 Chronic Conditions Data Warehouse, using the Federal Information Processing Standard county code. The sample includes 1,143 community-dwelling Hispanics ages 60 years or older (Level 1) and 156 counties (Level 2) where the sample resides. The single dichotomous measure of mental health service utilization was based on whether or not the respondent met one or more of three conditions: (1) the respondent received care from a mental health professional, (2) received a service including mental health counseling or psychotherapy, or (3) received a service that was related to the International Classification of Diseases. Multilevel logistic regression analysis was used to examine the role of county context.

RESULTS

The proportion of older adults and the existence of community mental health centers at the county-level were associated with mental health services use among this population. At the individual-level, education and mental health status were also associated with using mental health services.

DISCUSSION AND IMPLICATIONS

The county context plays an important role in understanding mental health services use among older Hispanics, indicating the need for intervention strategies at the county level.

Association of Pediatric Inpatient Socioeconomic Status With Hospital Efficiency and Financial Balance

IMPORTANCE

In health care systems in which hospital reimbursement is based on a national mean length of stay (LOS), disadvantaged patients with an increased LOS may be a source of inefficiency. This implication has been reported in adult patients, but pediatric data have been scarce.

OBJECTIVE

To examine the association of patient socioeconomic status with hospital efficiency and financial balance in pediatrics.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from the French national hospital discharge database covering a 3-year period, from January 1, 2012, to December 31, 2014. Statistical analyses were performed between June 2016 and December 2018. All inpatient stays in hospital pediatric wards in mainland France by children older than 28 days or younger than 18 years (n = 4 121 187) were included. Admissions with coding errors or missing values for social disadvantage and/or cost calculations were excluded.

EXPOSURE

Social disadvantage was estimated with an ecological indicator, the FDep, available at the patient's postcode of residence and divided into national quintiles.

MAIN OUTCOMES AND MEASURES

Efficiency was assessed through the variations in patient LOS compared with different national mean LOS (for pediatric patients, pediatric patients with a similar condition, and pediatric patients with a similar condition and severity level). Hospital financial balance was assessed at the admission level through the ratio of production costs to revenues and at the hospital level through the difference between aggregated revenues and production costs. Multivariate regression models examined the association between these indicators and socioeconomic status.

RESULTS

A total of 4 121 187 admissions were included (2 336 540 [56.7%] male; mean [SD] age, 7.4 [5.8] years). In all, 1 561 219 patients (37.9%) were in the 2 most disadvantaged quintiles. Patient LOS was shorter than the national mean LOS (mean [SD], 1.73 [4.21] days) for patients in the least disadvantaged quintile and longer for those in the more disadvantaged quintile (mean [SD], 1.67 [4.33] days vs 1.82 [4.14] days). This difference was higher for diagnosis related groups that included both adult and pediatric patients (mean [SD], 1.46 [4.22] days vs 1.61 [4.13] days) compared with those dedicated to pediatric patients (2.22 [4.13] days vs 2.12 [4.53] days). Patients in the most disadvantaged quintile were associated with a 3.2% increase in LOS (odds ratio, 1.0322; 95% CI, 1.0302-1.0341) compared with the national mean LOS. Social disadvantage was also associated with a significant increase in financial deficit for hospitals with 20% to 60% of patients in the 2 most disadvantaged quintiles (estimate: -€146 389; 95% CI, -€279 566 to -€13 213).

CONCLUSIONS AND RELEVANCE

Patient socioeconomic status appears to be statistically significantly associated with an increase in LOS and cost in French hospitals with pediatric departments. This finding suggests that initiating reform in hospital payment methods may improve resource allocation efficiency and equity in access to pediatric care.

Joint contribution of socioeconomic circumstances and ethnic group to variations in preterm birth, neonatal mortality and infant mortality in England and Wales: a population-based retrospective cohort study using routine data from 2006 to 2012

OBJECTIVES

This study aimed to describe the variation in risks of adverse birth outcomes across ethnic groups and socioeconomic circumstances, and to explore the evidence of mediation by socioeconomic circumstances of the effect of ethnicity on birth outcomes.

SETTING

England and Wales.

PARTICIPANTS

The data came from the 4.6 million singleton live births between 2006 and 2012.

EXPOSURE

The main exposure was ethnic group. Socioeconomic circumstances, the hypothesised mediator, were measured using the Index of Multiple Deprivation (IMD), an area-level measure of deprivation, based on the mother's place of residence.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcomes were birth outcomes, namely: neonatal death, infant death and preterm birth. We estimated the slope and relative indices of inequality to describe differences in birth outcomes across IMD, and the proportion of the variance in birth outcomes across ethnic groups attributable to IMD. We investigated mediation by IMD on birth outcomes across ethnic groups using structural equation modelling.

RESULTS

Neonatal mortality, infant mortality and preterm birth risks were 2.1 per 1000, 3.2 per 1000 and 5.6%, respectively. Babies in the most deprived areas had 47%-129% greater risk of adverse birth outcomes than those in the least deprived areas. Minority ethnic babies had 48%-138% greater risk of adverse birth outcomes compared with white British babies. Up to a third of the variance in birth outcomes across ethnic groups was attributable to differences in IMD, and there was strong statistical evidence of an indirect effect through IMD in the effect of ethnicity on birth outcomes.

CONCLUSION

There is evidence that socioeconomic circumstances could be contributing to the differences in birth outcomes across ethnic groups.

Epidemiological Determinants of Advanced Prostate Cancer in Elderly Men in the United States

In this study, we examined the effects of individual-level and area-level characteristics on advanced prostate cancer diagnosis among Medicare eligible older men (ages 70+ years). We analyzed patients from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2000-2007) linked to US Census and County Business Patterns data. Cluster-adjusted logistic regression models were used to quantify the effects of individual preventive health behavior, clinical and demographic characteristics, area-level health services supply, and socioeconomic characteristics on stage at diagnosis. The fully adjusted model was used to estimate county-specific effects and predicted probabilities of advanced prostate cancer. In the adjusted analyses, low intensity of annual prostate-specific antigen (PSA) testing and other preventive health behavior, high comorbidity, African American race, and lower county socioeconomic and health services supply characteristics were statistically significantly associated with a higher likelihood of distant prostate cancer diagnosis. The fully adjusted predicted proportions of advanced prostate cancer diagnosis across 158 counties ranged from 3% to 15% (mean: 6%, SD: 7%). County-level socioeconomic and health services supply characteristics, individual-level preventive health behavior, demographic and clinical characteristics are determinants of advanced stage prostate cancer diagnosis among older Medicare beneficiaries; other health care-related factors such as family history, lifestyle choices, and health-seeking behavior should also be considered as explanatory factors.

An ecological approach to monitor geographic disparities in cancer outcomes

Background

Area-level indices are widely used to assess the impact of socio-environmental characteristics on cancer outcomes. While area-level measures of socioeconomic status (SES) have been previously used in cancer settings, fewer studies have focused on evaluating the impact of area-level health services supply (HSS) characteristics on cancer outcomes. Moreover, there is significant variation in the methods and constructs used to create area-level indices.

Methods

In this study, we introduced a psychometrically-induced, reproducible approach to develop area-level HSS and SES indices. We assessed the utility of these indices in detecting the effects of area-level characteristics on prostate, breast, and lung cancer incidence and stage at diagnosis in the US. The information on county-level SES and HSS characteristics were extracted from US Census, County Business Patterns data and Area Health Resource Files. The Surveillance, Epidemiology, and End Results database was used to identify individuals diagnosed with cancer from 2010 to 2012. SES and HSS indices were developed and linked to 3-year age-adjusted cancer incidence rates. SES and HSS indices empirically summarized the level of employment, education, poverty and income, and the availability of health care facilities and health professionals within counties.

Results

SES and HSS models demonstrated good fit (TLI = 0.98 and 0.96, respectively) and internal consistency (alpha = 0.85 and 0.95, respectively). Increasing SES and HSS were associated with increasing prostate and breast cancer and decreasing lung cancer incidence rates. The results varied by stage at diagnosis and race.

Conclusion

Composite county-level measures of SES and HSS were effective in ranking counties and detecting gradients in cancer incidence and stage at diagnosis. Thus, these measures provide valuable tools for monitoring geographic disparities in cancer outcomes.

Association of State Medicaid Expansion Status With Low Birth Weight and Preterm Birth

IMPORTANCE

Low birth weight and preterm birth are associated with adverse consequences including increased risk of infant mortality and chronic health conditions. Black infants are more likely than white infants to be born prematurely, which has been associated with disparities in infant mortality and other chronic conditions.

OBJECTIVE

To evaluate whether Medicaid expansion was associated with changes in rates of low birth weight and preterm birth outcomes, both overall and by race/ethnicity.

DESIGN, SETTING, AND PARTICIPANTS

Using US population-based data from the National Center for Health Statistics Birth Data Files (2011-2016), difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models were estimated using multivariable linear probability regressions to compare birth outcomes among infants in Medicaid expansion states relative to non-Medicaid expansion states and changes in relative disparities among racial/ethnic minorities for singleton live births to women aged 19 years and older.

EXPOSURES

State Medicaid expansion status and racial/ethnic category.

MAIN OUTCOMES AND MEASURES

Preterm birth (<37 weeks' gestation), very preterm birth (<32 weeks' gestation), low birth weight (<2500 g), and very low birth weight (<1500 g).

RESULTS

The final sample of 15 631 174 births (white infants: 8 244 924, black infants: 2 201 658, and Hispanic infants: 3 944 665) came from the District of Columbia and 18 states that expanded Medicaid (n = 8 530 751) and 17 states that did not (n = 7 100 423). In the DID analyses, there were no significant changes in preterm birth in expansion relative to nonexpansion states (preexpansion to postexpansion period, 6.80% to 6.67% [difference: -0.12] vs 7.86% to 7.78% [difference: -0.08]; adjusted DID: 0.00 percentage points [95% CI, -0.14 to 0.15], P = .98), very preterm birth (0.87% to 0.83% [difference: -0.04] vs 1.02% to 1.03% [difference: 0.01]; adjusted DID: -0.02 percentage points [95% CI, -0.05 to 0.02], P = .37), low birth weight (5.41% to 5.36% [difference: -0.05] vs 6.06% to 6.18% [difference: 0.11]; adjusted DID: -0.08 percentage points [95% CI, -0.20 to 0.04], P = .20), or very low birth weight (0.76% to 0.72% [difference: -0.03] vs 0.88% to 0.90% [difference: 0.02]; adjusted DID: -0.03 percentage points [95% CI, -0.06 to 0.01], P = .14). Disparities for black infants relative to white infants in Medicaid expansion states compared with nonexpansion states declined for all 4 outcomes, indicated by a negative DDD coefficient for preterm birth (-0.43 percentage points [95% CI, -0.84 to -0.02], P = .05), very preterm birth (-0.14 percentage points [95% CI, -0.26 to -0.02], P = .03), low birth weight (-0.53 percentage points [95% CI, -0.96 to -0.10], P = .02), and very low birth weight (-0.13 percentage points [95% CI, -0.25 to -0.01], P = .04). There were no changes in relative disparities for Hispanic infants.

CONCLUSIONS AND RELEVANCE

Based on data from 2011-2016, state Medicaid expansion was not significantly associated with differences in rates of low birth weight or preterm birth outcomes overall, although there were significant improvements in relative disparities for black infants compared with white infants in states that expanded Medicaid vs those that did not.

Ethnic variations in risk of preterm birth in an ethnically dense socially disadvantaged area in the UK: a retrospective cross-sectional study

OBJECTIVE

To investigate ethnic variations in risk of preterm birth (PTB), including extreme preterm birth (EPTB) and moderately preterm birth (MPTB), among mothers in an ethnically dense, socially disadvantaged area, and to examine whether any variations were dependent of area deprivation and maternal biological and behavioural factors.

DESIGN

Retrospective cross-sectional study using routinely collected data.

SETTING

A large UK National Health Service maternity unit.

PARTICIPANTS

46 307 women who gave singleton births between April 2007 and March 2016.

OUTCOME MEASURES

PTB defined as <37 weeks of gestation and further classified into EPTB (<28 weeks of gestation) and MPTB (28 to <37 weeks of gestation).

RESULTS

Overall prevalence of PTB was higher (8.3%) compared with the national average (7.8%). Black Caribbean (2.2%) and black African (2.0%) mothers had higher absolute risk of EPTB than white British mothers (1.3%), particularly black Caribbean mothers whose relative risk ratio (RRR) was nearly twice after adjustment for all covariates (RRR=1.93[1.20 to 3.10]). Excess relative risk of EPTB among black African mothers became non-significant after adjustment for prenatal behavioural factors (RRR=1.41[0.99 to 2.01]). Bangladeshi mothers had the lowest absolute risk of EPTB (0.6%), substantially lower than white British mothers (1.3%); the difference in relative risk remained significant after adjustment for area deprivation (RRR=0.59[0.36 to 0.96]), but became non-significant after adjustment for maternal biological factors. Changes were evident in the relative risk of EPTB and MPTB among some ethnic groups compared with the white British on adjustment for different covariates.

CONCLUSIONS

Higher than national rates of PTB point to the need for evidence-based antenatal and neonatal care programmes to support preterm babies and their families in ethnically dense socially disadvantaged areas. Differential impact of area deprivation and the role of modifiable behavioural factors highlight the need for targeted preventive interventions for groups at risk.

Poverty, urban-rural classification and term infant mortality: a population-based multilevel analysis

Background

U.S. mortality rate of term infants is higher than most other developed countries. Term infant mortality is associated with exogenous socio-environmental factors. Previous research links low socioeconomic status and rurality with high infant mortality, but does not examine the effect of individual level factors on this association. Separating out the effect of contextual factors from individual level factors has important implications for targeting interventions. Therefore, we aim to estimate the independent effect of poverty and urban-rural classification on term infant mortality.

Methods

We used linked 2013 period cohort birth-infant death files from the National Center for Health Statistics (NCHS). Counties were assigned to low, medium and high poverty groups using US Census Bureau county-level percent of children ≤18 years living in poverty, and were classified based on NCHS urban-rural classification. Bivariate and multilevel logistic regression models were used to estimate odds of term infant death, accounting for individual and county level variables.

Results

There were 2,551,828 term births in 2013, with an overall term mortality of 2.1 per 1000 births. Odds of term infant mortality increased from 1.4 (95% CI: 1.2, 1.6) to 1.8 (95% CI: 1.6, 2.0) comparing births over increasing county poverty to those in the lowest. The associations remained significant in the multivariable model, for highest poverty 1.3 (95% CI: 1.1, 1.5). Similarly, the odds of term infant mortality increased with increasing rurality, from 1.3 (95% CI: 1.2, 1.5) in medium metro counties to 1.7 (95% CI: 1.5, 2.0) in non-core counties compared to large fringe metro counties. However, only rural non-core counties remained statistically associated with increased risk of term infant mortality after adjusting for individual level maternal characteristics.

Conclusions

High poverty and very rural counties remained associated with term infant mortality independent of individual maternal sociodemographic, health and obstetric factors. Interventions should focus on contextual factors such as economic environment and availability of health and social services in addition to individual factors to reduce term infant mortality.

Associations of Neighborhood-Level Social Determinants of Health with Bacterial Infections in Young, Febrile Infants

OBJECTIVE

To examine the sociodemographic characteristics of one population of young, febrile infants and identify associations between neighborhood-level social determinants of health (SDHs) with bacterial infections.

STUDY DESIGN

This was a retrospective cross sectional study of all infants ≤90 days old with a temperature of ≥38°C who presented in 2014 to the emergency department of an urban children's hospital in a large east coast city. The primary outcome was the presence of a bacterial infection, defined as a positive urine, blood, or cerebrospinal fluid culture that was treated clinically as a pathogen. The home address of each infant was geocoded and linked to neighborhood data based on census tract. Neighborhood-level SDHs included deprivation index, median household income, poverty, childhood poverty, social capital, and crowded housing. Associations were estimated using generalized estimating equations and negative binomial regression analysis. Models were adjusted for age, prematurity, and race/ethnicity.

RESULTS

Of 232 febrile infants, the median age was 54 days, 58% were male, 49% were Hispanic, and 88% had public health insurance; 31 infants (13.4%) had a bacterial infection. In the adjusted analyses, the risk of bacterial infection among infants from neighborhoods with high rates of childhood poverty was >3 times higher (relative risk, 3.16; 95% CI, 1.04-9.6) compared with infants from neighborhoods with low rates of childhood poverty.

CONCLUSIONS

Our findings suggest that SDHs may be associated with bacterial infections in young, febrile infants. If confirmed in subsequent studies, the inclusion of SDHs in predictive tools may improve accuracy in detecting bacterial infections among young, febrile infants.

Impact of social deprivation on length of stay for common infectious diseases in two French university-affiliated general pediatric departments

BACKGROUND

Adult deprived patients consume more healthcare resources than others, particularly in terms of increased length of stay (LOS) and costs. Very few pediatric studies have focused on LOS, although the effect of deprivation could be greater in children due to the vulnerability of this population. Our objective was to compare LOS between deprived and nondeprived children hospitalized for acute infectious diseases in two university-affiliated pediatric departments located in a low-income area of northern Paris.

METHODS

We performed a prospective observational multicenter study in two university-affiliated hospitals, Hôpital Robert-Debré and Hôpital Jean-Verdier. All the patients under 15 years of age admitted to the general pediatric department for pneumonia, bronchiolitis, gastroenteritis, or pyelonephritis between 20 October 2016 and 20 March 2017 were included. Deprivation was assessed with an individual questionnaire and score (EPICES). Endpoints included length of stay, costs, and readmission rates at 15 days in each quintile of deprivation. Multivariate regression assessed the association between deprivation and each endpoint.

RESULTS

A total of 556 patients were included in the study and 540 were analyzed. Sixty percent were boys and the mean age was 9 months±18. Bronchiolitis was the most frequent diagnosis (67.8%). Fifty-six percent of patients were considered to be deprived based on the EPICES questionnaire. Mean LOS was 4.6±3.5 days and we found no significant difference in LOS between the different deprivation quintiles (P=0.83). Multivariate regression did not show an association between LOS and deprivation.

CONCLUSION

There was no difference between deprived and nondeprived patients in terms of LOS. Deprivation may therefore impact hospitals in other ways such as admission rates. The impact of deprivation during hospitalization for chronic diseases should also be investigated.

Short and long-term costs among women experiencing preterm labour or preterm birth: the German experience

Background

Preterm labour and birth (PTL/PTB) is characterised by major health and developmental risks for children, life–changing consequences for their families, and substantial healthcare and economic challenges for wider society. While it is known that PTL/PTB impacts infant healthcare costs in the short and long term in Germany, maternal costs have not been described in detail. The aim of this study was to comprehensively describe costs and resource use among PTL/PTB mothers during pregnancy, at hospitalisation for delivery, and up to three years after delivery—overall and according to gestational age (GA) at delivery.

Methods

This study used data from the Statutory Health Insurance (SHI) sample of the AOK Hessen database in Germany. Mothers aged 12–44 years with deliveries between 2009 and 2013 and > 9 months of medical history prior to delivery were included. PTL/PTB mothers were defined by an International Classification of Diseases, 10th Revision (ICD-10) code for PTL during pregnancy, a diagnosis-related group (DRG) code indicating birthweight < 2500 g, or delivery of an infant < 37 weeks GA. Inpatient and outpatient resource use and total direct medical costs were examined during pregnancy, at delivery hospitalisation, and up to three years post-delivery.

Results

Of all mothers, 2147 (20%) experienced PTL/PTB. During pregnancy, median costs for PTL/PTB mothers were €2130. During delivery hospitalisation, the mean length of stay for all PTL/PTB mothers was 6.0 days, and median costs were €2037. Length of stay and costs declined with increasing GA. Long term, PTL/PTB mothers’ total median costs were €607 in Year 1, €332 in Year 2, and €388 in Year 3 post-delivery. In each year after delivery, median costs appeared to be greater for mothers who delivered at lower GAs.

Conclusion

In this description of costs and resource use among PTL/PTB mothers in Germany throughout the pregnancy and up to three years after delivery, the greatest costs were noted prior to delivery. Costs appeared to decrease with increasing GA, particularly during the delivery hospitalisation and the first year after delivery.

Electronic supplementary material

The online version of this article (10.1186/s12884-018-1912-0) contains supplementary material, which is available to authorized users.

Pathophysiology of preterm labor with intact membranes

Preterm labor with intact membranes is a major cause of spontaneous preterm birth (sPTB). To prevent sPTB a clear understanding is needed of the hormonal interactions that initiate labor. The steroid hormone progesterone acting via its nuclear progesterone receptors (PRs) in uterine cells is essential for the establishment and maintenance of pregnancy and disruption of PR signaling (i.e., functional progesterone/PR withdrawal) is key trigger for labor. The process of parturition is also associated with inflammation within the uterine tissues and it is now generally accepted that inflammatory stimuli from multiple extrinsic and intrinsic sources induce labor. Recent studies suggest inflammatory stimuli induce labor by affecting PR transcriptional activity in uterine cells to cause functional progesterone/PR withdrawal. Advances in understanding the functional interaction of inflammatory load on the pregnancy uterus and progesterone/PR signaling is opening novel areas of research and may lead to rational therapeutic strategies to effectively prevent sPTB.

The Impact of Maternal Obesity and Excessive Gestational Weight Gain on Maternal and Infant Outcomes in Maine: Analysis of Pregnancy Risk Assessment Monitoring System Results from 2000 to 2010

The objective of this study is to understand the relationships between prepregnancy obesity and excessive gestational weight gain (GWG) and adverse maternal and fetal outcomes. Pregnancy risk assessment monitoring system (PRAMS) data from Maine for 2000-2010 were used to determine associations between demographic, socioeconomic, and health behavioral variables and maternal and infant outcomes. Multivariate logistic regression analysis was performed on the independent variables of age, race, smoking, previous live births, marital status, education, BMI, income, rurality, alcohol use, and GWG. Dependent variables included maternal hypertension, premature birth, birth weight, infant admission to the intensive care unit (ICU), and length of hospital stay of the infant. Excessive prepregnancy BMI and excessive GWG independently predicted maternal hypertension. A high prepregnancy BMI increased the risk of the infant being born prematurely, having a longer hospital stay, and having an excessive birth weight. Excessive GWG predicted a longer infant hospital stay and excessive birth weight. A low pregnancy BMI and a lower than recommended GWG were also associated with poor outcomes: prematurity, low birth weight, and an increased risk of the infant admitted to ICU. These findings support the importance of preconception care that promotes achievement of a healthy weight to enhance optimal reproductive outcomes.

Born early and born poor: An eco-bio-developmental model for poverty and preterm birth

Poverty is associated with adverse long-term cognitive outcomes in children. Poverty is also linked with preterm delivery which, in turn, is associated with adverse cognitive outcomes. However, the extent of the effect of poverty on preterm delivery, as well as proposed mechanisms by which they occur, have not been well described. Further, the impact of poverty on preterm school readiness has not been reviewed. As the childhood poverty level continues to increase in the U.S., we examine the evidence around physiological, neurological, cognitive and learning outcomes associated with prematurity in the context of poverty. We use the evidence gathered to suggest an Eco-Bio-Developmental model, emphasizing poverty as a toxic stress which predisposes preterm birth and which, via epigenetic forces, can continue into the next generation. Continued postnatal social disadvantage for these developmentally high-risk preterm infants is strongly linked with poor neurodevelopmental outcomes, decreased school readiness, and decreased educational attainment which can perpetuate the poverty cycle. We suggest social remedies aimed at decreasing the impact of poverty on mothers, fathers, and children which may be effective in reducing the burden of preterm birth.