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.

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].

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.

Distinguishing High-Performing From Low-Performing Hospitals for Severe Maternal Morbidity: A Focus on Quality and Equity.

OBJECTIVE: To investigate which organizational factors, policies, and practices distinguish hospitals with high compared with low risk-adjusted rates of severe maternal morbidity (SMM). METHODS: Using a positive deviance approach, this qualitative study included 50 semistructured interviews with health care professionals (obstetrics and gynecology chairs, labor and delivery medical directors, nurse managers, frontline nurses, physicians or nurses responsible for quality and safety, and chief medical officers) in four low-performing and four high-performing hospitals in New York City. Hospital performance was based on risk-adjusted morbidity metrics from previous research. Major topics explored were structural characteristics (eg, staffing, credentialing), organizational characteristics (eg, culture, leadership, communication, use of data), labor and delivery practices (eg, use of standardized, evidence-based practices, teamwork), and racial and ethnic disparities in SMM. All interviews were audiotaped, professionally transcribed, and coded using NVivo software. Researchers blinded to group assignment conducted qualitative content analysis. Researchers wrote analytic memos to identify key themes and patterns emerging from the interviews, highlight illustrative quotes, and draw qualitative comparisons between the two hospital clusters with different (but unrevealed) performance levels. RESULTS: Six themes distinguished high-performing from low-performing hospitals. High-performing hospitals were more likely to have: 1) senior leadership involved in day-to-day quality activities and dedicated to quality improvement, 2) a strong focus on standards and standardized care, 3) strong nurse-physician communication and teamwork, 4) adequate physician and nurse staffing and supervision, 5) sharing of performance data with nurses and other frontline clinicians, and 6) explicit awareness that racial and ethnic disparities exist and that racism and bias in the hospital can lead to differential treatment. CONCLUSION: Organizational factors, policies, and practices at multiple levels distinguish high-performing from low-performing hospitals for SMM. Findings illustrate the potential for targeted quality initiatives to improve maternal health and reduce obstetric disparities arising from delivery in low-performing hospitals.

Postpartum Hospital Readmissions and Emergency Department Visits Among High-Risk, Medicaid-Insured Women in New York City.

Objectives: To describe the incidence of and characteristics associated with postpartum emergency department (ED) visits and hospital readmissions among high-risk, low-income, predominantly Black and Latina women in New York City (NYC). Methods: We conducted a secondary analysis of detailed survey and medical chart data from an intervention to improve timely postpartum visits among Medicaid-insured, high-risk women in NYC from 2015 to 2016. Among 380 women who completed surveys at baseline (bedside postpartum) and 3 weeks after delivery, we examined the incidence of having an ED visit or readmission within 3 weeks postpartum. We used logistic regression to examine unadjusted and adjusted associations between patient demographic, clinical, and psychosocial characteristics and the odds of postpartum hospital use. Results: In total, 12.8% (n = 48) of women reported an ED visit or readmission within 3 weeks postpartum. Unadjusted odds of postpartum hospital use were higher among women who self-identified as Black versus Latina, U.S. born versus foreign born, and English versus Spanish speaking. Clinical and psychosocial characteristics associated with increased unadjusted odds of postpartum hospital use included cesarean delivery, hypertensive disorders of pregnancy, and positive depression or anxiety screen, and we found preliminary evidence of decreased hospital use among women breastfeeding at three weeks postpartum. The odds of seeking postpartum hospital care remained roughly 2.5 times higher among women with hypertension or depression/anxiety in adjusted analyses. Conclusions: We identified characteristics associated with ED visits and hospital readmissions among a high-risk subset of postpartum women in NYC. These characteristics, including depressive symptoms and hypertension, suggest women who may benefit from additional postpartum support to prevent maternal complications and reduce health disparities.

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.

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.

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.

Intertwined disparities: Applying the maternal-infant dyad lens to advance perinatal health equity.

Differences in the quality of delivery hospital care contribute to persistent, intertwined racial and ethnic disparities in both maternal and infant health. Despite the shared causal pathways and overlapping burden of maternal and infant health disparities, little research on perinatal quality of care has addressed obstetric and neonatal care jointly to improve outcomes and reduce health inequities for the maternal-infant dyad. In this paper, we review the role of hospital quality in shaping perinatal health outcomes, and investigate how a framework that considers the mother-infant dyad can enhance our understanding of the full burden of obstetric and neonatal disparities on health and society. We conclude with a discussion of how integrating a maternal-infant dyad lens into research and clinical intervention to improve quality of care can move the needle on disparity reduction for both women and infants around the time of birth and throughout the life course.

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.

Racial/Ethnic Disparities in Very Preterm Birth and Preterm Birth Before and During the COVID-19 Pandemic.

Importance: The coronavirus disease 2019 (COVID-19) pandemic may exacerbate existing racial/ethnic inequities in preterm birth. Objective: To assess whether racial/ethnic disparities in very preterm birth (VPTB) and preterm birth (PTB) increased during the first wave of the COVID-19 pandemic in New York City. Design, Setting, and Participants: This cross-sectional study included 8026 Black, Latina, and White women who gave birth during the study period. A difference-in-differences (DID) analysis of Black vs White disparities in VPTB or PTB in a pandemic cohort was compared with a prepandemic cohort by using electronic medical records obtained from 2 hospitals in New York City. Exposures: Women who delivered from March 28 to July 31, 2020, were considered the pandemic cohort, and women who delivered from March 28 to July 31, 2019, were considered the prepandemic cohort. Reverse transcription-polymerase chain reaction tests for the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were performed using samples obtained via nasopharyngeal swab at the time of admission. Main Outcomes and Measures: Clinical estimates of gestational age were used to calculate VPTB (<32 weeks) and PTB (<37 weeks). Log binomial regression was performed to estimate Black vs White risk differences, pandemic cohort vs prepandemic cohort risk difference, and an interaction term representing the DID estimator. Covariate-adjusted models included age, insurance, prepregnancy body mass index, and parity. Results: Of 3834 women in the pandemic cohort, 492 (12.8%) self-identified as Black, 678 (17.7%) as Latina, 2012 (52.5%) as White, 408 (10.6%) as Asian, and 244 (6.4%) as other or unspecified race/ethnicity, with approximately half the women 25 to 34 years of age. The prepandemic cohort comprised 4192 women with similar sociodemographic characteristics. In the prepandemic cohort, VPTB risk was 4.4% (20 of 451) and PTB risk was 14.4% (65 of 451) among Black infants compared with 0.8% (17 of 2188) VPTB risk and 7.1% (156 of 2188) PTB risk among White infants. In the pandemic cohort, VPTB risk was 4.3% (21 of 491) and PTB risk was 13.2% (65 of 491) among Black infants compared with 0.5% (10 of 1994) VPTB risk and 7.0% (240 of 1994) PTB risk among White infants. The DID estimators indicated that no increase in Black vs White disparities were found (DID estimator for VPTB, 0.1 additional cases per 100 [95% CI, -2.5 to 2.8]; DID estimator for PTB, 1.1 fewer case per 100 [95% CI, -5.8 to 3.6]). The results were comparable in covariate-adjusted models when limiting the population to women who tested negative for SARS-CoV-2. No change was detected in Latina vs White PTB disparities during the pandemic. Conclusions and Relevance: In this cross-sectional study of women who gave birth in New York City during the COVID-19 pandemic, no evidence was found for increased racial/ethnic disparities in PTB, among women who tested positive or tested negative for SARS-CoV-2.