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.

Maternal Characteristics and Rates of Unexpected Complications in Term Newborns by Hospital.

Importance: The Joint Commission Unexpected Complications in Term Newborns measure characterizes newborn morbidity potentially associated with quality of labor and delivery care. Infant exclusions isolate relatively low-risk births, but unexpected newborn complications (UNCs) are not adjusted for maternal factors that may be associated with outcomes independently of hospital quality. Objective: To investigate the association between maternal characteristics and hospital UNC rates. Design, Setting, and Participants: This cohort study was conducted using linked 2016 to 2018 New York City birth and hospital discharge datasets among 254 259 neonates at low risk (singleton, ≥37 weeks, birthweight ≥2500 g, and without preexisting fetal conditions) at 39 hospitals. Logistic regression was used to calculate unadjusted hospital-specific UNC rates and replicated analyses adjusting for maternal covariates. Hospitals were categorized into UNC quintiles; changes in quintile ranking with maternal adjustment were examined. Data analyses were performed from December 2022 to July 2023. Main Outcomes and Measures: UNCs were classified according to Joint Commission International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) criteria. Maternal preadmission comorbidities, obstetric factors, social characteristics, and hospital characteristics were ascertained. Results: Among 254 259 singleton births at 37 weeks or later who were at low risk (125 245 female [49.3%] and 129 014 male [50.7%]; 71 768 births [28.2%] to Hispanic, 47 226 births [18.7%] to non-Hispanic Asian, 42 682 births [16.8%] to non-Hispanic Black, and 89 845 births [35.3%] to non-Hispanic White mothers and 2738 births [1.0%] to mothers with another race or ethnicity), 148 393 births (58.4%) were covered by Medicaid and 101 633 births (40.0%) were covered by commercial insurance. The 2016 to 2018 cumulative UNC incidence in New York City hospitals was 37.1 UNCs per 1000 births. Infants of mothers with preadmission risk factors had increased UNC risk; for example, among mothers with vs without preeclampsia, there were 104.4 and 35.8 UNCs per 1000 births, respectively. Among hospitals, unadjusted UNC rates ranged from 15.6 to 215.5 UNCs per 1000 births and adjusted UNC rates ranged from 15.6 to 194.0 UNCs per 1000 births (median [IQR] change from adjustment, 1.4 [-4.7 to 1.0] UNCs/1000 births). The median (IQR) change per 1000 births for adjusted vs unadjusted rates showed that hospitals with low (<601 deliveries/year; -2.8 [-7.0 to -1.6] UNCs) to medium (601 to <954 deliveries/year; -3.9 [-7.1 to -1.9] UNCs) delivery volume, public ownership (-3.6 [-6.2 to -2.3] UNCs), or high proportions of Medicaid-insured (eg, ≥90.72%; -3.7 [-5.3 to -1.9] UNCs), Black (eg, ≥32.83%; -5.3 [-9.1 to -2.2] UNCs), or Hispanic (eg, ≥6.25%; -3.7 [-5.3 to -1.9] UNCs) patients had significantly decreased UNC rates after adjustment, while rates increased or did not change in hospitals with the highest delivery volume, private ownership, or births to predominantly White or privately insured individuals. Among all 39 hospitals, 7 hospitals (17.9%) shifted 1 quintile comparing risk-adjusted with unadjusted quintile rankings. Conclusions and Relevance: In this study, adjustment for maternal case mix was associated with small overall changes in hospital UNC rates. These changes were associated with performance assessment for some hospitals, and these results suggest that profiling on this measure should consider the implications of small changes in rates for hospitals with higher-risk obstetric populations.

Ovarian Cancer Isn't Just a White Woman's Disease.

This Viewpoint highlights the need for recognition that ovarian cancer affects women from racial and ethnic minority groups worldwide and that the rates of ovarian cancer are increasing in those populations while decreasing among White women.

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.

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..

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.

Influence of Gestational Diabetes Mellitus on Diabetes Risk and Glycemic Control in a Retrospective Population-Based Cohort.

OBJECTIVE: Racial/ethnic-specific estimates of the influence of gestational diabetes mellitus (GDM) on type 2 diabetes remain underexplored in large population-based cohorts. We estimated racial/ethnic differences in the influence of GDM on diabetes risk and glycemic control in a multiethnic, population-based cohort of postpartum women. RESEARCH DESIGN AND METHODS: Hospital discharge and vital registry data for New York City (NYC) births between 2009 and 2011 were linked with NYC A1C Registry data between 2009 and 2017. Women with baseline diabetes (n = 2,810) were excluded for a final birth cohort of 336,276. GDM on time to diabetes onset (two A1C tests of ≥6.5% from 12 weeks postpartum onward) or glucose control (first test of A1C <7.0% following diagnosis) was assessed using Cox regression with a time-varying exposure. Models were adjusted for sociodemographic and clinical factors and stratified by race/ethnicity. RESULTS: The cumulative incidence for diabetes was 11.8% and 0.6% among women with and without GDM, respectively. The adjusted hazard ratio (aHR) of GDM status on diabetes risk was 11.5 (95% CI 10.8, 12.3) overall, with slight differences by race/ethnicity. GDM was associated with a lower likelihood of glycemic control (aHR 0.85; 95% CI 0.79, 0.92), with the largest negative influence among Black (aHR 0.77; 95% CI 0.68, 0.88) and Hispanic (aHR 0.84; 95% CI 0.74, 0.95) women. Adjustment for screening bias and loss to follow-up modestly attenuated racial/ethnic differences in diabetes risk but had little influence on glycemic control. CONCLUSIONS: Understanding racial/ethnic differences in the influence of GDM on diabetes progression is critical to disrupt life course cardiometabolic disparities.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibody Titer Levels in Pregnant Individuals After Infection, Vaccination, or Both.

We examined differences in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody responses in pregnant individuals with natural, vaccine-induced, or combined immunity. Participants had live or nonlive births between 2020 and 2022, were seropositive (SARS-CoV-2 spike protein, anti-S), and had available mRNA vaccination and infection information (n=260). We compared titer levels among three immunity profiles: 1) natural immunity (n=191), 2) vaccine-induced immunity (n=37), and 3) combined immunity (ie, natural and vaccine-induced immunity; n=32). We applied linear regression to compare anti-S titers between the groups, controlling for age, race and ethnicity, and time between vaccination or infection (whichever came last) and sample collection. Anti-S titers were 57.3% and 94.4% lower among those with vaccine-induced and natural immunity, respectively, compared with those with combined immunity ( P <.001, P =.005).

Assessing racial residential segregation as a risk factor for severe maternal morbidity.

PURPOSE: To measure associations of area-level racial and economic residential segregation with severe maternal morbidity (SMM). METHODS: We conducted a retrospective cohort study of births at two Philadelphia hospitals between 2018 and 2020 to analyze associations of segregation, quantified using the Index of Concentration at the Extremes (ICE), with SMM. We used stratified multivariable, multilevel, logistic regression models to determine whether associations of ICE with SMM varied by self-identified race or hospital catchment. RESULTS: Of the 25,979 patients (44.1% Black, 35.8% White), 1381 (5.3%) had SMM (Black [6.1%], White [4.4%]). SMM was higher among patients residing outside (6.3%), than inside (5.0%) Philadelphia (P < .001). Overall, ICE was not associated with SMM. However, ICErace (higher proportion of White vs. Black households) was associated with lower odds of SMM among patients residing inside Philadelphia (aOR 0.87, 95% CI: 0.80-0.94) and higher odds outside Philadelphia (aOR 1.12, 95% CI: 0.95-1.31). Moran's I indicated spatial autocorrelation of SMM overall (P < .001); when stratified, autocorrelation was only evident outside Philadelphia. CONCLUSIONS: Overall, ICE was not associated with SMM. However, higher ICErace was associated with lower odds of SMM among Philadelphia residents. Findings highlight the importance of hospital catchment area and referral patterns in spatial analyses of hospital datasets.

What we talk about when we talk about severe maternal morbidity: a call to action to critically review severe maternal morbidity as an outcome measure.

Severe maternal morbidity has historically functioned as an umbrella term to define major, potentially life-threatening obstetrical, medical, and surgical complications of pregnancy. There is no overarching or consensus definition of the constellation of conditions that have been used variably to define severe maternal morbidity, although it is clear that having a well-honed definition of severe maternal morbidity is important for research, quality improvement, and health policy purposes. Although severe maternal morbidity may ultimately elude a single unifying definition because different features may be relevant depending on context and modality of data acquisition, it is valuable to explore the intellectual frameworks and various applications of severe maternal morbidity in current practice, and to consider the potential benefit of more consolidated terminology for maternal morbidity.

Addressing the National Crisis Facing Black and Latina Women, Birthing People, and Infants: The Maternal and Child Health Equity Summit.

To address the national crisis of maternal and infant health disparities, especially outcomes experienced by Black and Latina women and birthing people, The New York Academy of Medicine, the Icahn School of Medicine at Mount Sinai, the Blavatnik Family Women's Health Research Institute, and the University of Pennsylvania Health System and Perelman School of Medicine hosted the Maternal and Child Health Equity Summit. The primary purpose of the summit was to disseminate findings to a national audience of two National Institutes of Health-funded mixed-methods studies that investigated the contribution of hospital quality to disparities in maternal and infant Health in New York City (R01MD007651 and R01HD078565). In addition, the summit showcased factors in maternal and infant health inequity from leading diverse experts in both fields and identified outstanding challenges to reducing maternal and infant morbidity and mortality disparities and strategies to address them. Summit presenters and participants identified five primary areas of focus in proposed clinical actions and approaches for maternal and neonatal health care based on discussions during the summit: 1) quality and standardization of care; 2) adjustment of care strategy based on patient-reported experience; 3) health care professional and institutional accountability to patients; 4) commitment to building trust; and 5) anti-racism practices in education, training, and hiring. Recommendations from this conference should inform hospital care and public policy changes and frame a national agenda to address perinatal health disparities for Black, Indigenous, and other women and birthing people of color.

Postpartum hospital use among survivors of intimate partner violence.

OBJECTIVE: More than 1 in 3 individuals who identify as female, experience either intimate partner violence (IPV) or sexual assault during their lifetime, and sexual violence committed by an intimate partner is at its highest during their reproductive years.1 As many as 20% of pregnant individuals may experience IPV, and IPV during pregnancy has been associated with an increased risk for adverse maternal and neonatal outcomes, making pregnant individuals an especially vulnerable population.1 In fact, >50% of pregnancy-associated suicides and >45% of pregnancy-associated homicides are associated with IPV and these often occur during the postpartum period.2 Although >50% of maternal deaths occur postpartum,3 little research has examined whether IPV is associated with markers of postpartum maternal morbidity, including hospital readmission and emergency department (ED) visits.4 In addition, few studies have examined the feasibility of ascertaining IPV at the delivery hospitalization using billing codes. Although the International Classification of Diseases, Tenth Revision (ICD-10) codes include factors related to social determinants of health, ICD-10 codes are largely underutilized for the purpose of understanding risk of disease and adverse outcomes.5 The primary objective of this study was to investigate the association of IPV screening at delivery with the incidence of postpartum hospital use. Another objective was to examine the possibility of using ICD-10 codes at the delivery hospitalization to identify IPV in pregnant individuals. STUDY DESIGN: This was a retrospective cohort of birth data linked with inpatient and outpatient hospital claims data, including deliveries of individuals residing in the New York City metropolitan area between 2016 and 2018. Thirty-day hospital use was ascertained by either a readmission or an ED visit within 30 days of discharge. We identified the incidence of IPV from the delivery hospital discharge records using 36 IPV-related ICD-10 codes that we identified in the literature, including those defined for adult psychological and sexual abuse. We estimated the associations between IPV identified during the delivery hospitalization and postpartum hospital use using a multivariable logistic regression and separately adjusting for demographic and structural determinants of health, psychosocial factors, comorbidities, and obstetrical complications. All analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC). This study was approved by our institutional review board. RESULTS: IPV was indicated on the discharge records of 348 individuals (0.11%). As shown in the Table, the overall incidence of ED visits among individuals with an IPV-related diagnosis was 12.9%. The incidence of a postpartum ED visit was significantly higher among individuals with an IPV diagnosis than among those without (odds ratio [OR], 2.8; 95% confidence interval [CI], 2.1-3.9), and this was true after sequentially adjusting for demographic and structural determinants of health (OR, 2.0; 95% CI, 1.4-2.7), comorbidities and pregnancy complications (OR, 1.9; 95% CI, 1.4-2.6), psychosocial factors (OR, 1.5; 95% CI, 1.1-2.0), and obstetrical complications (OR, 1.5; 95% CI, 1.1-2.0). The incidence of either a postpartum ED visit or readmission was also higher among those patients with an IPV-related diagnosis (OR, 2.7; 95% CI, 2.0-3.6). However, there was no significant difference in postpartum readmissions alone among patients with or without an IPV-related diagnosis. CONCLUSION: This study established that postpartum ED visits are significantly higher among individuals with an IPV-related diagnosis during the delivery hospitalization in a large citywide database, even after adjusting for established risk factors for postpartum ED use. Because ED visits have been identified as a possible marker of maternal morbidity and mortality,4 this finding may suggest that individuals affected by IPV could benefit from screening throughout pregnancy, including during the delivery hospitalization, to prevent adverse postpartum outcomes. However, as established in this study, IPV identified solely by ICD-10 codes during the delivery hospitalization is rare and likely underreported. It is possible that underdetection of IPV is because of insufficient clinician screening, a lack of documentation in the medical records using ICD-10 codes, and the medical status of the pregnant individual at the time of delivery. This finding demonstrates a need to screen and record findings thoroughly during the pregnancy period, including at delivery hospitalization, for any IPV-related diagnoses. A limitation of our data is that we were not able to ascertain hospital use outside of New York City and did not include other time points during an individual's pregnancy. Future research should identify at which time points IPV screening occurs during care of a pregnant individual and whether this may affect postpartum ED visit rates. As a clinical outcome, maternal mortality is preventable and screening for risk factors such as IPV throughout the perinatal period, including at delivery admission and during the postpartum period, is imperative for comprehensive obstetrics care.

The influence of racial-ethnic discrimination on women's health care outcomes: A mixed methods systematic review.

BACKGROUND: In the U.S, a wide body of evidence has documented significant racial-ethnic disparities in women's health, and growing attention has focused on discrimination in health care as an underlying cause. Yet, there are knowledge gaps on how experiences of racial-ethnic health care discrimination across the life course influence the health of women of color. Our objective was to summarize existing literature on the impact of racial-ethnic health care discrimination on health care outcomes for women of color to examine multiple health care areas encountered across the life course. METHODS: We systematically searched three databases and conducted study screening, data extraction, and quality assessment. We included quantitative and qualitative peer-reviewed literature on racial-ethnic health care discrimination towards women of color, focusing on studies that measured patient-perceived discrimination or differential treatment resulting from implicit provider bias. Results were summarized through narrative synthesis. RESULTS: In total, 84 articles were included spanning different health care domains, such as perinatal and cancer care. Qualitative studies demonstrated the existence of racial-ethnic discrimination across care domains. Most quantitative studies reported a mix of positive and null associations between discrimination and adverse health care outcomes, with variation by the type of health care outcome. For instance, over three-quarters of the studies exploring associations between discrimination/bias and health care-related behaviors or beliefs found significant associations, whereas around two-thirds of the studies on clinical interventions found no significant associations. CONCLUSIONS: This review shows substantial evidence on the existence of racial-ethnic discrimination in health care and its impact on women of color in the U.S. However, the evidence on how this phenomenon influences health care outcomes varies in strength by the type of outcome investigated. High-quality, targeted research using validated measures that is grounded in theoretical frameworks on racism is needed. This systematic review was registered [PROSPERO ID: CRD42018105448].

Impact of prenatal COVID-19 vaccination on delivery and neonatal outcomes: Results from a New York City cohort.

Research suggest prenatal vaccination against coronavirus disease-19 (COVID-19) is safe. However, previous studies utilized retrospectively collected data or examined late pregnancy vaccinations. We investigated the associations of COVID-19 vaccination throughout pregnancy with delivery and neonatal outcomes. We included 1,794 mother-neonate dyads enrolled in the Generation C Study with known prenatal COVID-19 vaccination status and complete covariate and outcome data. We used multivariable quantile regressions to estimate the effect of prenatal COVID-19 vaccination on birthweight, delivery gestational age, and blood loss at delivery; and Poisson generalized linear models for Caesarean delivery (CD) and Neonatal Intensive Care Unit (NICU) admission. Using the above methods, we estimated effects of trimester of vaccine initiation on these outcomes. In our sample, 13.7% (n = 250) received at least one prenatal dose of any COVID-19 vaccine. Vaccination was not associated with birthweight (ß = 12.42 g [-90.5, 114.8]), gestational age (ß = 0.2 days [-1.1, 1.5]), blood loss (ß = -50.6 ml [-107.0, 5.8]), the risks of CD (RR = 0.8; [0.6, 1.1]) or NICU admission (RR = 0.9 [0.5, 1.7]). Trimester of vaccine initiation was also not associated with these outcomes. Our findings suggest that there is no associated risk between prenatal COVID-19 vaccination and adverse delivery and neonatal outcomes in a cohort sample from NYC.

Characteristics of High Versus Low-Performing Hospitals for Very Preterm Infant Morbidity and Mortality.

Objective: To ascertain organizational attributes, policies, and practices that differentiate hospitals with high versus low risk-adjusted rates of very preterm neonatal morbidity and mortality (NMM). Methods: Using a positive deviance research framework, we conducted qualitative interviews of hospital leadership and frontline clinicians from September-October 2018 in 4 high-performing and 4 low-performing hospitals in New York City, based on NMM measured in previous research. Key interview topics included NICU physician and nurse staffing, professional development, standardization of care, quality measurement and improvement, and efforts to measure and report on racial/ethnic disparities in care and outcomes for very preterm infants. Interviews were audiotaped, professionally transcribed, and coded using NVivo software. In qualitative content analysis, researchers blinded to hospital performance identified emergent themes, highlighted illustrative quotes, and drew qualitative comparisons between hospital clusters. Results: The following features distinguished high-performing facilities: 1) stronger commitment from hospital leadership to diversity, quality, and equity; 2) better access to specialist physicians and experienced nursing staff; 3) inclusion of nurses in developing clinical policies and protocols, and 4) acknowledgement of the influence of racism and bias in healthcare on racial-ethnic disparities. In both clusters, areas for improvement included comprehensive family engagement strategies, care standardization, and reporting of quality data by patient sociodemographic characteristics. Conclusions and relevance: Our findings suggest specific organizational and cultural characteristics, from hospital leadership and clinician perspectives, that may yield better patient outcomes, and demonstrate the utility of a positive deviance framework to center equity in quality initiatives for high-risk infant care.

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.

Gestational SARS-CoV-2 infection is associated with placental expression of immune and trophoblast genes.

INTRODUCTION: Maternal SARS-CoV-2 infection during pregnancy is associated with adverse pregnancy outcomes and can have effects on the placenta, even in the absence of severe disease or vertical transmission to the fetus. This study aimed to evaluate histopathologic and molecular effects in the placenta after SARS-CoV-2 infection during pregnancy. METHODS: We performed a study of 45 pregnant participants from the Generation C prospective cohort study at the Mount Sinai Health System in New York City. We compared histologic features and the expression of 48 immune and trophoblast genes in placentas delivered from 15 SARS-CoV-2 IgG antibody positive and 30 IgG SARS-CoV-2 antibody negative mothers. Statistical analyses were performed using Fisher's exact tests, Spearman correlations and linear regression models. RESULTS: The median gestational age at the time of SARS-CoV-2 IgG serology test was 35 weeks. Two of the IgG positive participants also had a positive RT-PCR nasal swab at delivery. 82.2% of the infants were delivered at term (≥37 weeks), and gestational age at delivery did not differ between the SARS-CoV-2 antibody positive and negative groups. No significant differences were detected between the groups in placental histopathology features. Differential expression analyses revealed decreased expression of two trophoblast genes (PSG3 and CGB3) and increased expression of three immune genes (CXCL10, TLR3 and DDX58) in placentas delivered from SARS-CoV-2 IgG positive participants. DISCUSSION: SARS-CoV-2 infection during pregnancy is associated with gene expression changes of immune and trophoblast genes in the placenta at birth which could potentially contribute to long-term health effects in the offspring.