Social determinants of health and obstetric outcomes: A report and recommendations of the workshop of the Society for Maternal-Fetal Medicine.

This article is a report of a 2-day workshop, entitled "Social determinants of health and obstetric outcomes," held during the Society for Maternal-Fetal Medicine 2022 Annual Pregnancy Meeting. Participants' fields of expertise included obstetrics, pediatrics, epidemiology, health services, health equity, community-based research, and systems biology. The Commonwealth Foundation and the Alliance of Innovation on Maternal Health cosponsored the workshop and the Society for Women's Health Research provided additional support. The workshop included presentations and small group discussions, and its goals were to accomplish the following.

Racism in obstetric care: a psychometric study of the Gendered Racial Microaggressions Scale among Global Majority birthing people in obstetric contexts.

In the United States, maternal health inequities disproportionately affect Global Majority (e.g., Asian, Black, and Hispanic) populations. Despite a substantial body of research underscoring the influence of racism on these inequities, little research has examined how experiences of gendered racial microaggressions during pregnancy and birth impact racially and ethnically diverse Global Majority pregnant and birthing people in obstetric hospital settings. We evaluated the psychometric properties of an adapted version of Lewis & Neville's Gendered Racial Microaggressions Scale, using data collected from 417 Global Majority birthing people. Findings from our study indicate that our adapted GRMS is a valid tool for assessing the experiences of gendered racial microaggressions in hospital-based obstetric care settings among Global Majority pregnant and birthing people whose preferred languages are English or Spanish. Item Response Theory (IRT) analysis demonstrated high construct validity of the adapted GRMS scale (Root Mean Square Error of Approximation = 0.1089 (95% CI 0.0921, 0.1263), Comparative Fit Index = 0.977, Standardized Root Mean Square Residual = 0.075, log-likelihood c2 = -85.6, df = 8). IRT analyses demonstrated that the unidimensional model was preferred to the bi-dimensional model as it was more interpretable, had lower AIC and BIC, and all items had large discrimination parameters onto a single factor (all discrimination parameters > 3.0). Given that we found similar response profiles among Black and Hispanic respondents, our Differential Item Functioning analyses support validity among Black, Hispanic, and Spanish-speaking birthing people. Inter-item correlations demonstrated adequate scale reliability, α = 0.97, and empirical reliability = 0.67. Pearsons correlations was used to assess the criterion validity of our adapted scale. Our scale's total score was significantly and positively related to postpartum depression and anxiety. Researchers and practitioners should seek to address instances of gendered racial microaggressions in obstetric settings, as they are manifestations of systemic and interpersonal racism, and impact postpartum health.

Scholarly activity following National Institutes of Health Women's Reproductive Health Research K12 training-a cohort study.

BACKGROUND: National Institutes of Health funding to address basic reproductive health for common female conditions remains disproportionately low, in part because of low success rates of grant applications by obstetrician-gynecologists. OBJECTIVE: This study aimed to evaluate the scholarly productivity of individuals supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development Women's Reproductive Health Research K12 career development award, created to advance careers of obstetrician-gynecologist physician-scientists. STUDY DESIGN: We performed a cohort study of individuals who completed at least 2 years of Women's Reproductive Health Research training by June 30, 2015, and had at least 5-year follow-up. Earliest training start date was December 1, 1998. Primary outcomes from public data sources (National Institutes of Health RePORTER, PubMed, iCite) were (1) number of total and R01 National Institutes of Health grants as principal investigator; (2) numbers of total and first and last author publications; and (3) median and highest publication impact factor measured by the relative citation ratio. Secondary outcomes from an email survey subcohort were total number of research grants, federally funded grants, and number of National Institutes of Health grants as coinvestigator; institutional promotions and academic appointments, national and National Institutes of Health leadership roles; and career and mentorship satisfaction. Outcomes were recorded at 5, 10, and 15 years postgraduation, and aggregate anonymized data were divided into 3 groups using Women's Reproductive Health Research completion dates: June 30 of 2005, 2010, and 2015. Temporal trends were assessed. Results were stratified by gender, number of awarded grant cycles (1-2 vs 3-4), and specialty type. Analyses used Fisher exact or Pearson chi-square tests, and Mantel-Haenszel tests of trend. RESULTS: The distribution of the cohort (N=178) by graduation completion date was: on or before June 30, 2005 (57 [32%]); July 1, 2005 to June 30, 2010 (60 [34%]); and July 1, 2010 to June 30, 2015 (61 [34%]). Most participants were female (112 [64%]) and maternal-fetal medicine trained (53 [30%]), followed by no fellowship (50 [28%]). Of the 178 participants, 72 (40%) received additional National Institutes of Health funding as a principal investigator, 45 (25%) received at least 1 R01, and 23 (13%) received 2 to 5 R01s. There were 52 (31%) scholars with >10 first author publications, 66 (39%) with >10 last author publications, and 108 (63%) with ≥25 publications. The highest relative citation ratio was a median of 8.07 (interquartile range, 4.20-15.16). There were 121 (71%) scholars with relative citation ratio ≥5, indicating >5-fold greater publication impact than that of other National Institutes of Health-funded scientists in similar areas of research. No differences by gender, institution, or temporal trends were observed. Of the full cohort, 69 (45.7%) responded to the survey; most self-identified as women (50 [73%]) and White (51 [74%]). CONCLUSION: Our findings suggest that the infrastructure provided by an institutional K award is an advantageous career development award mechanism for obstetrician-gynecologists, a group of predominantly women surgeons. It may serve as a corrective for the known inequities in National Institutes of Health funding by gender.

Development of a prediction model of postpartum hospital use using an equity-focused approach.

BACKGROUND: Racial inequities in maternal morbidity and mortality persist into the postpartum period, leading to a higher rate of postpartum hospital use among Black and Hispanic people. Delivery hospitalizations provide an opportunity to screen and identify people at high risk to prevent adverse postpartum outcomes. Current models do not adequately incorporate social and structural determinants of health, and some include race, which may result in biased risk stratification. OBJECTIVE: This study aimed to develop a risk prediction model of postpartum hospital use while incorporating social and structural determinants of health and using an equity approach. STUDY DESIGN: We conducted a retrospective cohort study using 2016-2018 linked birth certificate and hospital discharge data for live-born infants in New York City. We included deliveries from 2016 to 2017 in model development, randomly assigning 70%/30% of deliveries as training/test data. We used deliveries in 2018 for temporal model validation. We defined "Composite postpartum hospital use" as at least 1 readmission or emergency department visit within 30 days of the delivery discharge. We categorized diagnosis at first hospital use into 14 categories based on International Classification of Diseases-Tenth Revision diagnosis codes. We tested 72 candidate variables, including social determinants of health, demographics, comorbidities, obstetrical complications, and severe maternal morbidity. Structural determinants of health were the Index of Concentration at the Extremes, which is an indicator of racial-economic segregation at the zip code level, and publicly available indices of the neighborhood built/natural and social/economic environment of the Child Opportunity Index. We used 4 statistical and machine learning algorithms to predict "Composite postpartum hospital use", and an ensemble approach to predict "Cause-specific postpartum hospital use". We simulated the impact of each risk stratification method paired with an effective intervention on race-ethnic equity in postpartum hospital use. RESULTS: The overall incidence of postpartum hospital use was 5.7%; the incidences among Black, Hispanic, and White people were 8.8%, 7.4%, and 3.3%, respectively. The most common diagnoses for hospital use were general perinatal complications (17.5%), hypertension/eclampsia (12.0%), nongynecologic infections (10.7%), and wound infections (8.4%). Logistic regression with least absolute shrinkage and selection operator selection retained 22 predictor variables and achieved an area under the receiver operating curve of 0.69 in the training, 0.69 in test, and 0.69 in validation data. Other machine learning algorithms performed similarly. Selected social and structural determinants of health features included the Index of Concentration at the Extremes, insurance payor, depressive symptoms, and trimester entering prenatal care. The "Cause-specific postpartum hospital use" model selected 6 of the 14 outcome diagnoses (acute cardiovascular disease, gastrointestinal disease, hypertension/eclampsia, psychiatric disease, sepsis, and wound infection), achieving an area under the receiver operating curve of 0.75 in training, 0.77 in test, and 0.75 in validation data using a cross-validation approach. Models had slightly lower performance in Black and Hispanic subgroups. When simulating use of the risk stratification models with a postpartum intervention, identifying high-risk individuals with the "Composite postpartum hospital use" model resulted in the greatest reduction in racial-ethnic disparities in postpartum hospital use, compared with the "Cause-specific postpartum hospital use" model or a standard approach to identifying high-risk individuals with common pregnancy complications. CONCLUSION: The "Composite postpartum hospital use" prediction model incorporating social and structural determinants of health can be used at delivery discharge to identify persons at risk for postpartum hospital use.

Predictors and Trends in First-Trimester Hemoglobin A1c Screening in New York City, 2009 to 2017.

Glycated hemoglobin is an adjunct tool in early pregnancy to assess glycemic control. We examined trends and maternal predictors for those who had A1c screening in early pregnancy using hospital discharge and vital registry data between 2009 and 2017 linked with the New York City A1C Registry (N = 798,312). First-trimester A1c screening increased from 2.3% in 2009 to 7.7% in 2017. The likelihood of screening became less targeted to high-risk patients over time, with a decrease in mean A1c values from 5.8% (95% confidence interval [CI]: 5.8, 5.9) to 5.3 (95% CI: 5.3, 5.4). The prevalence of gestational diabetes mellitus increased while testing became less discriminate for those with high-risk factors, including pregestational type 2 diabetes, chronic hypertension, obesity, age over 40 years, as well as Asian or Black non-Hispanic race/ethnicity. KEY POINTS: · First-trimester A1c screening increased from 2.3% in 2009 to 7.7% in 2017 in New York City.. · The likelihood of screening became less targeted to high-risk patients over time.. · The prevalence of gestational diabetes mellitus increased, while testing became less discriminate..

Society for Maternal-Fetal Medicine Special Statement: Race in maternal-fetal medicine research- Dispelling myths and taking an accurate, antiracist approach.

Profound inequities in maternal and infant outcomes based on race exist, and the maternal-fetal medicine community has an important role in eliminating these disparities. Accurately employing race and ethnicity as social constructs within research that guides clinical practice is essential to achieving health equity. We must abandon commonly propagated myths that race is a surrogate for genetics or economic status and that data are exempt from potential bias. These myths can lead to harmful misconceptions that exacerbate racial disparities in maternal and infant health outcomes. Furthermore, these myths obscure racism as the true underlying etiology of racial disparities. Understanding that race is a social construct and using an antiracist approach to research are essential in combating racism and eliminating unacceptable disparities in maternal and infant health. This document provides specific suggestions to approach the research process with an antiracist framework.

Economic Evaluation of Prenatal and Postpartum Care in Women With Gestational Diabetes and Hypertensive Disorders of Pregnancy: A Systematic Review.

OBJECTIVES: This study aimed to summarize evidence on the economic outcomes of prenatal and postpartum interventions for the management of gestational diabetes mellitus and hypertensive disorders of pregnancy (HDP), assess the quality of each study, and identify research gaps that may inform future research. METHODS: Electronic databases including PubMed/MEDLINE, Embase, the Cochrane Library, and Cochrane Central Register of Controlled Trials were searched from January 1, 2000, to October 1, 2021. Selected studies were included in narrative synthesis and extracted data were presented in narrative and tabular forms. The quality of each study was assessed using the Consolidated Health Economic Evaluation Reporting Standards and Consensus on Health Economic Criteria list. RESULTS: Among the 22 studies identified through the systematic review, 19 reported favorable cost-effectiveness of the intervention. For prenatal management of HDP, home blood pressure monitoring was found to be cost-effective compared with in-person visits in improving maternal and neonatal outcomes. For postpartum care, regular screening for hypertension or metabolic syndrome followed by subsequent treatment was found to be cost-effective compared with no screening in women with a history of gestational diabetes mellitus or HDP. CONCLUSIONS: Existing economic evaluation studies showed that prenatal home blood pressure monitoring and postpartum screening for hypertension or metabolic syndrome were cost-effective. Nevertheless, limitations in the approach of the current economic evaluations may dampen the quality of the evidence and warrant further investigation.

SARS-CoV-2 during pregnancy and associated outcomes: Results from an ongoing prospective cohort.

BACKGROUND: The COVID-19 pandemic is an ongoing global health threat, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Questions remain about how SARS-CoV-2 impacts pregnant individuals and their children. OBJECTIVE: To expand our understanding of the effects of SARS-CoV-2 infection during pregnancy on pregnancy outcomes, regardless of symptomatology, by using serological tests to measure IgG antibody levels. METHODS: The Generation C Study is an ongoing prospective cohort study conducted at the Mount Sinai Health System. All pregnant individuals receiving obstetrical care at the Mount Sinai Healthcare System from 20 April 2020 onwards are eligible for participation. For the current analysis, we included participants who had given birth to a liveborn singleton infant on or before 22 September 2020. For each woman, we tested the latest prenatal blood sample available to establish seropositivity using a SARS-CoV-2 serologic enzyme-linked immunosorbent assay. Additionally, RT-PCR testing was performed on a nasopharyngeal swab taken during labour. Pregnancy outcomes of interest (i.e., gestational age at delivery, preterm birth, small for gestational age, Apgar scores, maternal and neonatal intensive care unit admission, and length of neonatal hospital stay) and covariates were extracted from medical records. Excluding individuals who tested RT-PCR positive at delivery, we conducted crude and adjusted regression models to compare antibody positive with antibody negative individuals at delivery. We stratified analyses by race/ethnicity to examine potential effect modification. RESULTS: The SARS-CoV-2 seroprevalence based on IgG measurement was 16.4% (95% confidence interval 13.7, 19.3; n=116). Twelve individuals (1.7%) were SARS-CoV-2 RT-PCR positive at delivery. Seropositive individuals were generally younger, more often Black or Hispanic, and more often had public insurance and higher pre-pregnancy BMI compared with seronegative individuals. None of the examined pregnancy outcomes differed by seropositivity, overall or stratified by race/ethnicity. CONCLUSION: Seropositivity for SARS-CoV-2 without RT-PCR positivity at delivery (suggesting that infection occurred earlier during pregnancy) was not associated with selected adverse maternal or neonatal outcomes among live births in a cohort sample from New York City.

COVID-19 pandemic-related change in racial and ethnic disparities in exclusive breastmilk feeding during the delivery hospitalization: a differences-in-differences analysis.

OBJECTIVE: Exclusive breastmilk feeding during the delivery hospitalization, a Joint Commission indicator of perinatal care quality, is associated with longer-term breastfeeding success. Marked racial and ethnic disparities in breastfeeding exclusivity and duration existed prior to COVID-19. The pandemic, accompanied by uncertainty regarding intrapartum and postpartum safety practices, may have influenced disparities in infant feeding practices. Our objective was to examine whether the first wave of the COVID-19 pandemic in New York City was associated with a change in racial and ethnic disparities in exclusive breastmilk feeding during the delivery stay. METHODS: We conducted a cross-sectional study of electronic medical records from 14,964 births in two New York City hospitals. We conducted a difference-in-differences (DID) analysis to compare Black-white, Latina-white, and Asian-white disparities in exclusive breastmilk feeding in a pandemic cohort (April 1-July 31, 2020, n=3122 deliveries) to disparities in a pre-pandemic cohort (January 1, 2019-February 28, 2020, n=11,842). We defined exclusive breastmilk feeding as receipt of only breastmilk during delivery hospitalization, regardless of route of administration. We ascertained severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection status from reverse transcription-polymerase chain reaction tests from nasopharyngeal swab at admission. For each DID model (e.g. Black-white disparity), we used covariate-adjusted log binomial regression models to estimate racial and ethnic risk differences, pandemic versus pre-pandemic cohort risk differences, and an interaction term representing the DID estimator. RESULTS: Exclusive breastmilk feeding increased from pre-pandemic to pandemic among white (40.8% to 46.6%, p<0.001) and Asian (27.9% to 35.8%, p=0.004) women, but not Black (22.6% to 25.3%, p=0.275) or Latina (20.1% to 21.4%, p=0.515) women overall. There was an increase in the Latina-white exclusive breastmilk feeding disparity associated with the pandemic (DID estimator=6.3 fewer cases per 100 births (95% CI=-10.8, -1.9)). We found decreased breastmilk feeding specifically among SARS-CoV-2 positive Latina women (20.1% pre-pandemic vs. 9.1% pandemic p=0.013), and no change in Black-white or Asian-white disparities. CONCLUSIONS: We observed a pandemic-related increase in the Latina-white disparity in exclusive breastmilk feeding, urging hospital policies and programs to increase equity in breastmilk feeding and perinatal care quality during and beyond this health emergency.

Improving Postpartum Care: Identifying Opportunities to Reduce Postpartum Emergency Room Visits Among Publicly-Insured Women of Color.

BACKGROUND/OBJECTIVES: The purpose of this study was to explore the postpartum experiences of publicly-insured women of color, and identify how postpartum care can be improved to reduce hospital emergency department usage after delivery. METHODS: We conducted four focus groups with 18 publicly-insured women who primarily self-identified as Black and/or Latina and gave birth between June 1, 2019 and May 1, 2020. We used inductive qualitative analysis to identify prominent themes from focus group discussions. RESULTS: We identified four domains: (1) lack of access to and communication with a medical team; (2) lack of preparation; (3) value of social support; and (4) participant-identified opportunities for improvement. CONCLUSIONS FOR PRACTICE: This study describes the postpartum experiences of publicly-insured women of color with the objective of identifying areas for intervention to reduce postpartum emergency department usage. Our findings suggest that focused efforts on enhancing continuity of care to increase healthcare access, strengthening patient-provider communication by training providers to recognize unconscious bias, increasing postpartum preparation by adapting teaching materials to an online format, and engaging women's caregivers throughout the pregnancy course to bolster social support, may be beneficial.

Developing Tools to Report Racism in Maternal Health for the CDC Maternal Mortality Review Information Application (MMRIA): Findings from the MMRIA Racism & Discrimination Working Group.

PURPOSE: The purpose of this report from the field is to describe the process by which an multidisciplinary workgroup, selected by the CDC Foundation in partnership with maternal health experts, developed a definition of racism that would be specifically appropriate for inclusion on the Maternal Mortality Review Information Application (MMRIA) form. DESCRIPTION: In the United States Black women are nearly 4 times more likely to experience a pregnancy-related death. Recent evidence points to racism as a fundamental cause of this inequity. Furthermore, the CDC reports that 3 of 5 pregnancy related deaths are preventable. With these startling facts in mind, the CDC created the Maternal Mortality Review Information Application (MMRIA) for use by Maternal Mortality Review Committees (MMRC) to support standardized data abstraction, case narrative development, documentation of committee decisions, and analysis on maternal mortality to inform practices and policies for preventing maternal mortality. ASSESSMENT: Charged with the task of defining racism and discrimination as contributors to pregnancy related mortality, the work group established four goals to define their efforts: (1) the desire to create a product that was inclusive of all forms of racism and discrimination experienced by birthing people; (2) an acknowledgement of the legacy of racism in the U.S. and the norms in health care delivery that perpetuate racist ideology; (3) an acknowledgement of the racist narratives surrounding the issue of maternal mortality and morbidity that often leads to victim blaming; and (4) that the product would be user friendly for MMRCs. CONCLUSION: The working group developed three definitions and a list of recommendations for action to help MMRC members provide suggested interventions to adopt when discrimination or racism were contributing factors to a maternal death. The specification of these definitions will allow the systematic tracking of the contribution of racism to maternal mortality through the MMRIA and allow a greater standardization of its identification across participating jurisdictions with MMRCs that use the form.

Stress and the Psychological Impact of the COVID-19 Pandemic on Frontline Obstetrics and Gynecology Providers.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic rapidly overwhelmed global health care systems in 2020, with New York City (NYC) marking the first epicenter in the United States. High levels of stress amongst health care workers have been reported in pandemics, but less is known about stress amongst Obstetrics and Gynecology (OB/GYN) providers. We sought to describe levels of stress, anxiety, depression, and other aspects of mental health among OB/GYN health care workers during the first wave of the COVID-19 pandemic. STUDY DESIGN: We conducted an anonymous cross-sectional electronic survey of a wide range of OB/GYN clinicians in a large NYC hospital system in the spring of 2020. We used both original survey questions and validated screening tools to assess stress, anxiety, depression, and burnout. We calculated median scores for these tools and compared median score between provider types. We also adapted questions on pandemic-related stressors from the MERS and SARS pandemics to fit the context of the COVID-19 pandemic and OB/GYN providers. RESULTS: A total of 464 providers met study inclusion criteria, and 163 providers completed the survey (response rate = 35.1%). Approximately 35% of providers screened positive for anxiety and 21% for depression. Scores for depression, burnout, and fulfillment varied by provider type, with nurses scoring higher than physicians (p <0.05). The majority of respondents reported stress from pandemic and OB-specific stressors, including the possibility of transmitting COVID-19 to friends and family (83.9%, [95% confidence interval or CI 78.0-89.8%]), uncertainty regarding the pandemic's trajectory (91.3% [86.7-95.8%]), and frequent policy changes on labor and delivery (72.7% [65.1-80.3%]). CONCLUSION: OB/GYN providers reported high levels of stress during the COVID-19 pandemic. The stress of caring for laboring patients during a pandemic may disproportionately affect nurses and trainees and highlights the need to provide interventions to ameliorate the negative impact of a pandemic on the mental health of our OB/GYN health care workers. KEY POINTS: · COVID-19 led to stress amongst OB/GYN providers.. · Some stressors were unique to providing obstetric care.. · Nurses and trainees were more affected by this stress..

Racial and Economic Neighborhood Segregation, Site of Delivery, and Morbidity and Mortality in Neonates Born Very Preterm.

OBJECTIVE: To assess the influence of racial and economic residential segregation of home or hospital neighborhood on very preterm birth morbidity and mortality in neonates born very preterm. STUDY DESIGN: We constructed a retrospective cohort of n = 6461 infants born <32 weeks using 2010-2014 New York City vital statistics-hospital data. We calculated racial and economic Index of Concentration at the Extremes for home and hospital neighborhoods. Neonatal mortality and morbidity was defined as death and/or severe neonatal morbidity. We estimated relative risks for Index of Concentration at the Extremes measures and neonatal mortality and morbidity using log binomial regression and the risk-adjusted contribution of delivery hospital using Fairlie decomposition. RESULTS: Infants whose mothers live in neighborhoods with the greatest relative concentration of Black residents had a 1.6 times greater risk of neonatal mortality and morbidity than those with the greatest relative concentration of White residents (95% CI 1.2-2.1). Delivery hospital explained more than one-half of neighborhood differences. Infants with both home and hospital in high-concentration Black neighborhoods had a 38% adjusted risk of neonatal mortality and morbidity compared with 25% of those with both home and hospital high-concentration White neighborhoods (P = .045). CONCLUSIONS: Structural racism influences very preterm birth neonatal mortality and morbidity through both the home and hospital neighborhood. Quality improvement interventions should incorporate a framework that includes neighborhood context.

Postpartum psychiatric readmissions: A nationwide study in women with and without epilepsy.

OBJECTIVE: To assess whether epilepsy is associated with increased odds of 30-day readmission due to psychiatric illness during the postpartum period. METHODS: The 2014 Nationwide Readmissions Database and the International Classification of Disease, Ninth Revision, Clinical Modification codes were used to identify postpartum women up to 50 years old in the United States, including the subgroup with epilepsy. The primary outcome was 30-day readmission and was categorized as (1) readmission due to psychiatric illness, (2) readmission due to all other causes, or (3) no readmission. Secondary outcome was diagnosis at readmission. The association of the primary outcome and presence of epilepsy was examined using multinomial logistic regression. RESULTS: Of 1 558 875 women with admissions for delivery identified, 6745 (.45%) had epilepsy. Thirteen of every 10 000 women had 30-day psychiatric readmissions in the epilepsy group compared to one of every 10 000 in the no-epilepsy group (p < .0001). Of every 10 000 women with epilepsy, 256 had 30-day readmissions due to other causes compared to 115 of every 10 000 women in the no-epilepsy group (p < .0001). The odds ratio for readmission due to psychiatric illness was 10.13 (95% confidence interval = 5.48-18.72) in those with epilepsy compared to those without. Top psychiatric causes for 30-day readmissions among women with epilepsy were mood disorders, schizophrenia and other psychotic disorders, and substance-related disorders. SIGNIFICANCE: This large-scale study demonstrated that postpartum women with epilepsy have higher odds of readmission due to a psychiatric illness compared to women without epilepsy. Postpartum treatment strategies and interventions to prevent psychiatric readmissions are necessary in this vulnerable population.

Racial and Ethnic Disparities in Maternal Mortality in the United States Using Enhanced Vital Records, 2016‒2017.

Objectives. To better understand racial and ethnic disparities in US maternal mortality. Methods. We analyzed 2016-2017 vital statistics mortality data with cause-of-death literals (actual words written on the death certificate) added. We created a subset of confirmed maternal deaths that had pregnancy mentions in the cause-of-death literals. Primary cause of death was identified and recoded using cause-of-death literals. We examined racial and ethnic disparities both overall and by primary cause. Results. The maternal mortality rate for non-Hispanic Black women was 3.55 times that for non-Hispanic White women. Leading causes of maternal death for non-Hispanic Black women were eclampsia and preeclampsia and postpartum cardiomyopathy with rates 5 times those for non-Hispanic White women. Non-Hispanic Black maternal mortality rates from obstetric embolism and obstetric hemorrhage were 2.3 to 2.6 times those for non-Hispanic White women. Together, these 4 causes accounted for 59% of the non-Hispanic Black‒non-Hispanic White maternal mortality disparity. Conclusions. The prominence of cardiovascular-related conditions among the leading causes of confirmed maternal death, particularly for non-Hispanic Black women, necessitates increased vigilance for cardiovascular problems during the pregnant and postpartum period. Many of these deaths are preventable.

A way forward in the maternal mortality crisis: addressing maternal health disparities and mental health.

Our objective was to review the role of maternal health disparities and mental health in the maternal mortality crisis in the USA, and discuss how perinatal care quality improvement in these areas is a critical lever for reducing maternal death. This paper summarizes content from a plenary talk delivered at the 2020 Biennial Meeting of the International Marcé Society for Perinatal Mental Health, in commemoration of the Society's 40th anniversary. The talk synthesized literature on two characteristics of the maternal mortality crisis in the US: (1) wide racial and ethnic disparities in maternal mortality and severe morbidity and (2) the impact of mental health and substance use disorders on maternal death, and introduced a framework for how health care quality gaps contribute to both of these issues. The US remains an outlier among similar nations in its alarmingly high rates of maternal mortality. Achieving significant progress on this measure will require confronting longstanding racial and ethnic disparities that exist throughout the pregnancy-postpartum continuum, as well as addressing the under-reported issue of maternal self-harm. Suicide and overdose are leading but under-recognized causes of death among pregnant and postpartum women in some states. Health care delivery failures, including inadequate risk assessment, care coordination, and communication, are identified in the literature on drivers of maternal health disparities and self-harm. Many of the same steps to improve quality of perinatal care can help to reduce health disparities and address the essential role of mental health in maternal well-being.

Pandemic Birthing: Childbirth Satisfaction, Perceived Health Care Bias, and Postpartum Health During the COVID-19 Pandemic.

OBJECTIVE: To examine the impact of the COVID-19 pandemic on birth satisfaction and perceived health care discrimination during childbirth, and in turn, the influence of these birth experiences on postpartum health. STUDY DESIGN: We conducted a cross-sectional, bilingual web survey of 237 women who gave birth at two hospitals in New York City and assessed patient-reported experience and outcomes following the first wave of SARS-CoV-2 infections in the New York region. We ascertained SARS-CoV-2 status at delivery from the electronic medical record using participant-reported name and date of birth. We compared birth experience during the COVID-19 pandemic (March 15, 2020-May 11, 2020) to a pre-pandemic response period (January 1, 2020-March 14, 2020). We estimated risk ratios for associations between birth experience and anxiety, depressive symptoms, stress, birth-related PTSD, emergency department visits, timely postpartum visit, and exclusive breastfeeding. Multivariable models adjusted for age, race-ethnicity, insurance, education, parity, BMI, previous experience of maltreatment/abuse and cesarean delivery. RESULTS: Women who gave birth during the peak of the pandemic response, and those that were SARS-CoV-2 positive, Black, and Latina, had lower birth satisfaction and higher perceived health care discrimination. Women with lower birth satisfaction were more likely to report higher postpartum anxiety, stress, depressive symptoms, and lower exclusive breastfeeding. Experiencing one or more incident of health care discrimination was associated with higher levels of postpartum stress and birth-related PTSD. CONCLUSION: Hospitals and policy-makers should institute measures to safeguard against a negative birth experience during the ongoing COVID-19 pandemic, particularly among birthing people of color.

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

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

Timely Postpartum Visits for Low-Income Women: A Health System and Medicaid Payer Partnership.

A health care system and a Medicaid payer partnered to develop an educational intervention and payment redesign program to improve timely postpartum visits for low-income, high-risk mothers in New York City between April 2015 and October 2016. The timely postpartum visit rate was higher for 363 mothers continuously enrolled in the program than for a control group matched by propensity score (67% [243/363] and 56% [407/726], respectively; P < .001). An innovative partnership between a health care system and Medicaid payer improved access to health care services and community resources for high-risk mothers.

Composite neonatal morbidity indicators using hospital discharge data: A systematic review.

BACKGROUND: Neonatal morbidity is associated with lifelong impairments, but the absence of a consensual definition and the need for large data sets limit research. OBJECTIVES: To inform initiatives to define standard outcomes for research, we reviewed composite neonatal morbidity indicators derived from routine hospital discharge data. DATA SOURCES: PubMed (updated on October 12, 2018). The search algorithm was based on three components: "morbidity," "neonatal," and "hospital discharge data." STUDY SELECTION AND DATA EXTRACTION: Studies investigating neonatal morbidity using a composite indicator based on hospital discharge data were included. Indicators defined for specific conditions (eg congenital anomalies, maternal addictions) were excluded. The target population, objectives, component morbidities, diagnosis and procedure codes, validation methods, and prevalence of morbidity were extracted. SYNTHESIS: For each study, we assessed construct validity by describing the methods used to select the indicator components and evaluated whether the authors assessed internal and external validity. We also calculated confidence intervals for the prevalence of the morbidity composite. RESULTS: Seventeen studies fulfilled inclusion criteria. Indicators targeted all (n = 4), low-/moderate-risk (n = 9), and very preterm (VPT, n = 4) infants. Components were similar for VPT infants, but domains and diagnosis codes within domains varied widely for all and low-/moderate-risk infants. Component selection was described for 8/17 indicators and some form of validation reported for 12/17. Neonatal morbidity prevalence ranged from 4.6% to 9.0% of all infants, 0.4% to 8.0% of low-/moderate-risk infants, and 17.8% to 61.0% of VPT infants. CONCLUSIONS: Multiple neonatal morbidity indicators based on hospital discharge data have been used for research, but their heterogeneity limits comparisons between studies. Standard neonatal outcome measures are needed for benchmarking and synthesis of research results.