OBJECTIVE: To synthesize the literature on associations between social determinants of health and pregnancy-related mortality and morbidity in the United States and to highlight opportunities for intervention and future research. DATA SOURCES: We performed a systematic search using Ovid MEDLINE, CINAHL, Popline, Scopus, and ClinicalTrials.gov (1990–2018) using MeSH terms related to maternal mortality, morbidity, and social determinants of health, and limited to the United States. METHODS OF STUDY SELECTION: Selection criteria included studies examining associations between social determinants and adverse maternal outcomes including pregnancy-related death, severe maternal morbidity, and emergency hospitalizations or readmissions. Using Covidence, three authors screened abstracts and two screened full articles for inclusion. TABULATION, INTEGRATION, AND RESULTS: Two authors extracted data from each article and the data were analyzed using a descriptive approach. A total of 83 studies met inclusion criteria and were analyzed. Seventy-eight of 83 studies examined socioeconomic position or individual factors as predictors, demonstrating evidence of associations between minority race and ethnicity (58/67 studies with positive findings), public or no insurance coverage (21/30), and lower education levels (8/12), and increased incidence of maternal death and severe maternal morbidity. Only 2 of 83 studies investigated associations between these outcomes and socioeconomic, political, and cultural context (eg, public policy), and 20 of 83 studies investigated material and physical circumstances (eg, neighborhood environment, segregation), limiting the diversity of social determinants of health studied as well as evaluation of such evidence. CONCLUSION: Empirical studies provide evidence for the role of race and ethnicity, insurance, and education in pregnancy-related mortality and severe maternal morbidity risk, although many other important social determinants, including mechanisms of effect, remain to be studied in greater depth. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42018102415.

To study the effect of magnetic fields on the risk of miscarriage, we conducted a population-based prospective cohort study among pregnant women within a large health maintenance organization. All women with a positive pregnancy test at less than 10 weeks of gestation and residing in the San Francisco area were contacted for participation in the study. We conducted in-person interviews to obtain information on risk factors for miscarriage and other potential confounders. All participants were also asked to wear a magnetic field-measuring meter for 24 hours and to keep a diary of their activities. Pregnancy outcomes were obtained for all participants by searching the health maintenance organization's databases, reviewing medical charts, and telephone follow-up. We used the Cox proportional hazard model for examining the magnetic field-miscarriage association. A total of 969 subjects were included in the final analyses. Although we did not observe an association between miscarriage risk and the average magnetic field level, miscarriage risk increased with an increasing level of maximum magnetic field exposure with a threshold around 16 milligauss (mG). The rate ratio (RR) associated with magnetic field exposure > or = 16 mG (vs <16 mG) was 1.8 [95% confidence interval (CI) = 1.2-2.7]. The risk remained elevated for levels (in tertiles) of maximum magnetic field exposure > or = 16 mG. The association was stronger for early miscarriages (<10 weeks of gestation) (RR = 2.2, 95% CI = 1.2-4.0) and among "susceptible" women with multiple prior fetal losses or subfertility (RR = 3.1, 95% CI = 1.3-7.7). After excluding women who indicated that their daily activity pattern during the measurements did not represent their typical daily activity during pregnancy, the association was strengthened; RR = 2.9 (95% CI = 1.6-5.3) for maximum magnetic field exposure > or = 16 mG, RR = 5.7 (95% CI = 2.1-15.7) for early miscarriage, and RR = 4.0 (95% CI = 1.4-11.5) among the susceptible women. Our findings provide strong prospective evidence that prenatal maximum magnetic field exposure above a certain level (possibly around 16 mG) may be associated with miscarriage risk. This observed association is unlikely to be due to uncontrolled biases or unmeasured confounders.

IMPORTANCE Substantial quality improvements in neonatal care have occurred over the past decade yet racial and ethnic disparities in morbidity and mortality remain. It is uncertain whether disparate patterns of care by race and ethnicity contribute to disparities in neonatal outcomes. OBJECTIVES To examine differences in neonatal morbidity and mortality rates among non-Hispanic black (black), Hispanic, and non-Hispanic white (white) very preterm infants and to determine whether these differences are explained by site of delivery. DESIGN, SETTING, AND PARTICIPANTS Population-based retrospective cohort study of 7177 nonanomalous infants born between 24 and 31 completed gestational weeks in 39 New York City hospitals using linked 2010 to 2014 New York City discharge abstract and birth certificate data sets. Mixed-effects logistic regression with a random hospital-specific intercept was used to generate risk-adjusted neonatal morbidity and mortality rates for very preterm infants in each hospital. Hospitals were ranked using this measure, and differences in the distribution of black, Hispanic, and white very preterm births were assessed among these hospitals. The statistical analysis was performed in 2016-2017. EXPOSURE Race/ethnicity. MAIN OUTCOMES AND MEASURES Composite of mortality (neonatal or in-hospital up to 1 year) or severe neonatal morbidity (bronchopulmonary dysplasia, severe necrotizing enterocolitis, retinopathy of prematurity stage 3 or greater, or intraventricular hemorrhage grade 3 or greater). RESULTS Among 7177 very preterm births (VPTBs), morbidity and mortality occurred in 2011 (28%) and was higher among black (893 [32.2%]) and Hispanic (610 [28.1%]) than white (319 [22.5%]) VPTBs (2-tailed P < .001). The risk-standardized morbidity and mortality rate was twice as great for VPTB infants born in hospitals in the highest morbidity and mortality tertile (0.40; 95% CI, 0.38-0.41) as for those born in the lowest morbidity and mortality tertile (0.16; 95% CI, 0.14-0.18). Black (1204 of 2775 [43.4%]) and Hispanic (746 of 2168 [34.4%]) VPTB infants were more likely than white (325 of 1418 [22.9%]) VPTB infants to be born in hospitals in the highest morbidity and mortality tertile (2-tailed P < .001; black-white difference, 20%; 95% CI, 18%-23% and Hispanic-white difference, 11%; 95% CI, 9%-14%). The largest proportion of the explained disparities can be attributed to differences in infant health risks among black, Hispanic, and white VPTB infants. However, 40% (95% CI, 30%-50%) of the black-white disparity and 30% (95% CI, 10%-49%) of the Hispanic-white disparity was explained by birth hospital. CONCLUSIONS AND RELEVANCE Black and Hispanic VPTB infants are more likely to be born at hospitals with higher risk-adjusted neonatal morbidity and mortality rates, and these differences contribute to excess morbidity and mortality among black and Hispanic infants.

The response to COVID-19 has involved an unprecedented expansion in telehealth. While older Americans and minority populations among others are known to be disadvantaged by the digital divide, few studies have examined disparities in telehealth specifically, and none during COVID-19. This study uses data from a large health system in NYC – the initial epicenter of the US crisis – to describe characteristics of patients seeking COVID-related care via telehealth, ER, or office encounters during the peak pandemic period. Demographic factors are significantly predictive of encounter type. Of any age group, patients 65+ had the lowest odds of using telehealth versus other modalities. By race and ethnicity, Black and Hispanic patients have lower odds of using telehealth versus either the ER or an office visit than either Whites or Asians – this remains true even after adjusting for age, comorbidities and preferred language. Additional research into sociodemographic heterogeneity in telehealth use is needed to prevent potentially further exacerbating health disparities overall.

Purpose-Living in a socioeconomically deprived neighborhood has been associated with an increased risk of adverse birth outcomes. However, variation in the effect of neighborhood deprivation among diverse ethnic groups has not been studied.Methods-Using linked hospital discharge and birth data for 517,994 singleton live births in New York City from 1998-2002, we examined the association between neighborhood deprivation, preterm birth (PTB), and term low birthweight (TLBW)(≥37 weeks and <2500g). Adjusted odds ratios (aOR) for PTB (<32 and 33-36 weeks) and TLBW were estimated using logistic regression.Results-The aOR for PTB <32 weeks for the highest quartile of deprivation compared to the lowest was 1.24 (95% Confidence Interval (CI)=1.13, 1.36), for PTB 33-36 weeks was 1.06 (95%CI=1.01, 1.11), and for TLBW was 1.19 (95%CI=1.11, 1.27). Measures of association varied by ethnicity; AORs of the greatest magnitude for PTB were found among Hispanic Caribbean women (PTB<32weeks: aOR=1.63, 95%CI=1.27, 2.10; PTB 33-36 weeks: aOR=1.32, 95%CI=1.02, 1.70), and for TLBW among African women (aOR=1.47, 95%CI=1.02, 2.13).Conclusions-The mechanisms linking neighborhood deprivation to adverse birth outcomes may differ depending on individual ethnicity and/or cultural context and should be investigated in future research.

IntroductionRoma, the largest minority group in Europe, face widespread racism and health disadvantage. Using qualitative data from Serbia and Macedonia, our objective was to develop a conceptual framework showing how three levels of racism--personal, internalized, and institutional--affect access to maternal health care among Romani women.MethodsEight focus groups of Romani women aged 14-44 (n = 71), as well as in-depth semi-structured interviews with gynecologists (n = 8) and key informants from NGOs and state institutions (n = 11) were conducted on maternal health care seeking, experiences during care, and perceived health care discrimination. Transcripts were coded, and analyzed using a grounded theory approach. Themes were categorized into domains.ResultsTwenty-two emergent themes identified barriers that reflected how racism affects access to maternal health care. The domains into which the themes were classified were perceptions and interactions with health system, psychological factors, social environment and resources, lack of health system accountability, financial needs, and exclusion from education.ConclusionsThe experiences of Romani women demonstrate psychosocial and structural pathways by which racism and discrimination affect access to prenatal and maternity care. Interventions to address maternal health inequalities should target barriers within all three levels of racism.

BackgroundChildren living in Roma settlements in Central and Eastern Europe face extreme levels of social exclusion and poverty, but their health status has not been well studied. The objective of this study was to elucidate risk factors for malnutrition in children in Roma settlements in Serbia.MethodsAnthropometric and sociodemographic measures were obtained for 1192 Roma children under five living in Roma settlements from the 2005 Serbia Multiple Indicator Cluster Survey. Multiple logistic regression was used to relate family and child characteristics to the odds of stunting, wasting, and underweight.ResultsThe prevalence of stunting, wasting, and underweight was 20.1%, 4.3%, and 8.0%, respectively. Nearly all of the children studied fell into the lowest quintile of wealth for the overall population of Serbia. Children in the lowest quintile of wealth were four times more likely to be stunted compared to those in the highest quintile, followed by those in the second lowest quintile (AOR = 2.1) and lastly by those in the middle quintile (AOR = 1.6). Children who were ever left in the care of an older child were almost twice as likely to stunted as those were not. Children living in urban settlements showed a clear disadvantage with close to three times the likelihood of being wasted compared to those living in rural areas. There was a suggestion that maternal, but not paternal, education was associated with stunting, and maternal literacy was significantly associated with wasting. Whether children were ever breastfed, immunized or had diarrhoeal episodes in the past two weeks did not show strong correlations to children malnutrition status in this Roma population.ConclusionsThere exists a gradient relationship between household wealth and stunting even within impoverished settlements, indicating that among poor and marginalized populations socioeconomic inequities in child health should be addressed. Other areas on which to focus future research and public health intervention include maternal literacy, child endangerment practices, and urban settlements.

BackgroundHurricane Sandy made landfall in New Jersey (NJ) on October 29, 2012. We studied the impact of this extreme weather event on the incidence of, and 30‐day mortality from, cardiovascular (CV) events (CVEs), including myocardial infarctions (MI) and strokes, in NJ.Methods and ResultsData were obtained from the MI data acquisition system (MIDAS), a database of all inpatient hospital discharges with CV diagnoses in NJ, including death certificates. Patients were grouped by their county of residence, and each county was categorized as either high‐ (41.5% of the NJ population) or low‐impact area based on data from the Federal Emergency Management Agency and other sources. We utilized Poisson regression comparing the 2 weeks following Sandy landfall with the same weeks from the 5 previous years. In addition, we used CVE data from the 2 weeks previous in each year as to adjust for yearly changes. In the high‐impact area, MI incidence increased by 22%, compared to previous years (attributable rate ratio [ARR], 1.22; 95% confidence interval [CI], 1.16, 1.28), with a 31% increase in 30‐day mortality (ARR, 1.31; 95% CI, 1.22, 1.41). The incidence of stroke increased by 7% (ARR, 1.07; 95% CI, 1.03, 1.11), with no significant change in 30‐day stroke mortality. There were no changes in incidence or 30‐day mortality of MI or stroke in the low‐impact area.ConclusionIn the 2 weeks following Hurricane Sandy, there were increases in the incidence of, and 30‐day mortality from, MI and in the incidence of stroke.