Racism and perinatal health inequities research: where we have been and where we should go

Into the Unknown: Navigating a Path as an Early-stage Physician-scientist in Obstetrics and Gynecology

This piece is a reflection of one early-stage physician-scientist's professional journey. It highlights a few challenges of navigating this path while calling for continued investment and support for physician-scientists to enhance maternal and child lifelong health.

Implementation and early effects of medicaid policy interventions to promote racial equity in pregnancy and early childhood outcomes in Pennsylvania: protocol for a mixed methods study

BACKGROUND

There are large racial inequities in pregnancy and early childhood health within state Medicaid programs in the United States. To date, few Medicaid policy interventions have explicitly focused on improving health in Black populations. Pennsylvania Medicaid has adopted two policy interventions to incentivize racial health equity in managed care (equity payment program) and obstetric service delivery (equity focused obstetric bundle). Our research team will conduct a mixed-methods study to investigate the implementation and early effects of these two policy interventions on pregnancy and infant health equity.

METHODS

Qualitative interviews will be conducted with Medicaid managed care administrators and obstetric and pediatric providers, and focus groups will be conducted among Medicaid beneficiaries. Quantitative data on healthcare utilization, healthcare quality, and health outcomes among pregnant and parenting people will be extracted from administrative Medicaid healthcare data. Primary outcomes are stakeholder perspectives on policy intervention implementation (qualitative) and timely prenatal care, pregnancy and birth outcomes, and well-child visits (quantitative). Template analysis methods will be applied to qualitative data. Quantitative analyses will use an interrupted time series design to examine changes over time in outcomes among Black people, relative to people of other races, before and after adoption of the Pennsylvania Medicaid equity-focused policy interventions.

DISCUSSION

Findings from this study are expected to advance knowledge about how Medicaid programs can best implement policy interventions to promote racial equity in pregnancy and early childhood health.

Structural Racism and Use of Labor Neuraxial Analgesia Among Non-Hispanic Black Birthing People

OBJECTIVE

To assess the association between structural racism and labor neuraxial analgesia use.

METHODS

This cross-sectional study analyzed 2017 U.S. natality data for non-Hispanic Black and White birthing people. The exposure was a multidimensional structural racism index measured in the county of the delivery hospital. It was calculated as the mean of three Black-White inequity ratios (ratios for lower education, unemployment, and incarceration in jails) and categorized into terciles, with the third tercile corresponding to high structural racism. The outcome was the labor neuraxial analgesia rate. Adjusted odds ratios and 95% CIs of neuraxial analgesia associated with terciles of the index were estimated with multivariate logistic regression models. Black and White people were compared with the use of an interaction term between race and ethnicity and the racism index.

RESULTS

Of the 1,740,716 birth certificates analyzed, 396,303 (22.8%) were for Black people. The labor neuraxial analgesia rate was 77.2% for Black people in the first tercile of the racism index, 74.7% in the second tercile, and 72.4% in the third tercile. For White people, the rates were 80.4%, 78.2%, and 78.2%, respectively. For Black people, compared with the first tercile of the racism index, the second tercile was associated with 18.4% (95% CI, 16.9-19.9%) decreased adjusted odds of receiving neuraxial analgesia and the third tercile with 28.3% (95% CI, 26.9-29.6%) decreased adjusted odds. For White people, the decreases were 13.4% (95% CI, 12.5-14.4%) in the second tercile and 15.6% (95% CI, 14.7-16.5%) in the third tercile. A significant difference in the odds of neuraxial analgesia was observed between Black and White people for the second and third terciles.

CONCLUSION

A multidimensional index of structural racism is associated with significantly reduced odds of receiving labor neuraxial analgesia among Black people and, to a lesser extent, White people.

Obstetric violence is a misnomer

The term "obstetric violence" has been used in the legislative language of several countries to protect mothers from abuse during pregnancy. Subsequently, it has been expanded to include a spectrum of obstetric procedures, such as induction of labor, episiotomy, and cesarean delivery, and has surfaced in the peer-reviewed literature. The term "obstetric violence" can be seen as quite strong and emotionally charged, which may lead to misunderstandings or misconceptions. It might be interpreted as implying a deliberate act of violence by healthcare providers when mistreatment can sometimes result from systemic issues, lack of training, or misunderstandings rather than intentional violence. "Obstetric mistreatment" is a more comprehensive term that can encompass a broader range of behaviors and actions. "Violence" generally refers to the intentional use of physical force to cause harm, injury, or damage to another person (eg, physical assault, domestic violence, street fights, or acts of terrorism), whereas "mistreatment" is a more general term and refers to the abuse, harm, or control exerted over another person (such as nonconsensual medical procedures, verbal abuse, disrespect, discrimination and stigmatization, or neglect, to name a few examples). There may be cases where unprofessional personnel may commit mistreatment and violence against pregnant patients, but as obstetrics is dedicated to the health and well-being of pregnant and fetal patients, mistreatment of obstetric patients should never be an intended component of professional obstetric care. It is necessary to move beyond the term "obstetric violence" in discourse and acknowledge and address the structural dimensions of abusive reproductive practices. Similarly, we do not use the term "psychiatric violence" for appropriately used professional procedures in psychiatry, such as electroshock therapy, or use the term "neurosurgical violence" when drilling a burr hole. There is an ongoing need to raise awareness about the potential mistreatment of obstetric patients within the context of abuse against women in general. Using the term "mistreatment in healthcare" instead of the more limited term "obstetric violence" is more appropriate and applies to all specialties when there is unprofessional abuse and mistreatment, such as biased care, neglect, emotional abuse (verbal), or physical abuse, including performing procedures that are unnecessary, unindicated, or without informed patient consent. Healthcare providers must promote unbiased, respectful, and patient-centered professional care; provide an ethical framework for all healthcare personnel; and work toward systemic change to prevent any mistreatment or abuse in our specialty.

Spatial Patterning of Spontaneous and Medically Indicated Preterm Birth in Philadelphia

Preterm birth (PTB) remains a key public health issue that disproportionately affects Black individuals. Since spontaneous PTB (sPTB) and medically indicated PTB (mPTB) may have different causes and interventions, we quantified racial disparities for sPTB and mPTB, and we characterized the geographic patterning of these phenotypes, overall and according to race/ethnicity. We examined a pregnancy cohort of 83,952 singleton births at 2 Philadelphia hospitals from 2008-2020, and classified each PTB as sPTB or mPTB. We used binomial regression to quantify the magnitude of racial disparities between non-Hispanic Black and non-Hispanic White individuals, then generated small area estimates by applying a Bayesian model that accounts for small numbers and smooths estimates of PTB risk by borrowing information from neighboring areas. Racial disparities in both sPTB and mPTB were significant (relative risk of sPTB = 1.83, 95% confidence interval: 1.70, 1.98; relative risk of mPTB = 2.20, 95% confidence interval: 2.00, 2.42). The disparity was 20% greater in mPTB than sPTB. There was substantial geographic variation in PTB, sPTB, and mPTB risks and racial disparity. Our findings underscore the importance of distinguishing PTB phenotypes within the context of public health and preventive medicine. Future work should consider social and environmental exposures that may explain geographic differences in PTB risk and disparities.

Racial and ethnic inequities in stillbirth in the US: Looking upstream to close the gap: Seminars in Perinatology

Though stillbirth rates in the United States improved over the previous decades, inequities in stillbirth by race and ethnicity have persisted nearly unchanged since data collection began. Black and Indigenous pregnant people face a two-fold greater risk of experiencing the devastating consequences of stillbirth compared to their White counterparts. Because race is a social rather than biological construct, inequities in stillbirth rates are a downstream consequence of structural, institutional, and interpersonal racism which shape a landscape of differential access to opportunities for health. These downstream consequences can include differences in the prevalence of chronic health conditions as well as structural differences in the quality of health care or healthy neighborhood conditions, each of which likely plays a role in racial and ethnic inequities in stillbirth. Research and intervention approaches that utilize an equity lens may identify ways to close gaps in stillbirth incidence or in responding to the health and socioemotional consequences of stillbirth. A community-engaged approach that incorporates experiential wisdom will be necessary to create a full picture of the causes and consequences of inequity in stillbirth outcomes. Investigators working in tandem with community partners, utilizing a combination of qualitative, quantitative, and implementation science approaches, may more fully elucidate the underpinnings of racial and ethnic inequities in stillbirth outcomes.

Risk of Severe Maternal Morbidity Associated with Maternal Comorbidity Burden and Social Vulnerability

OBJECTIVE

 We evaluated the associations of the obstetric comorbidity index (OB-CMI) and social vulnerability index (SVI) with severe maternal morbidity (SMM).

STUDY DESIGN

 Multicenter retrospective cohort study of all patients who delivered (gestational age > 20 weeks) within a university health system from January 1, 2019, to December 31, 2021. OB-CMI scores were assigned to patients using clinical documentation and diagnosis codes. SVI scores, released by the Centers for Disease Control and Prevention (CDC), were assigned to patients based on census tracts. The primary outcome was SMM, based on the 21 CDC indicators. Mixed-effects logistic regression was used to model the odds of SMM as a function of OB-CMI and SVI while adjusting for maternal race and ethnicity, insurance type, preferred language, and parity.

RESULTS

 In total, 73,518 deliveries were analyzed. The prevalence of SMM was 4% (n = 2,923). An association between OB-CMI and SMM was observed (p < 0.001), where OB-CMI score categories of 1, 2, 3, and ≥4 were associated with higher odds of SMM compared with an OB-CMI score category of 0. In the adjusted model, there was evidence of an interaction between OB-CMI and maternal race and ethnicity (p = 0.01). After adjusting for potential confounders, including SVI, non-Hispanic Black patients had the highest odds of SMM among patients with an OB-CMI score category of 1 and ≥4 compared with non-Hispanic White patients with an OB-CMI score of 0 (adjusted odds ratio [aOR] 2.76, 95% confidence interval [CI] 2.08-3.66 and aOR 10.07, 95% CI 8.42-12.03, respectively). The association between SVI and SMM was not significant on adjusted analysis.

CONCLUSION

 OB-CMI was significantly associated with SMM, with higher score categories associated with higher odds of SMM. A significant interaction between OB-CMI and maternal race and ethnicity was identified, revealing racial disparities in the odds of SMM within each higher OB-CMI score category. SVI was not associated with SMM after adjusting for confounders.

KEY POINTS

· OB-CMI was significantly associated with SMM.. · Racial disparities were seen within each OB-CMI score group.. · SVI was not associated with SMM on adjusted analysis..

Variation in Preterm Birth Rates Across Prenatal Care Sites in New York

OBJECTIVE

To investigate variation in preterm birth rates by the site at which prenatal care was received.

DESIGN

Cross-sectional cohort study.

SETTING

New York State.

PARTICIPANTS

Claims and encounter data on singleton live births that were covered by New York Medicaid (N = 154,377).

METHODS

We analyzed data from New York Medicaid and the American Community Survey. We established sites of prenatal care using geocoded billing addresses for prenatal visits. We calculated descriptive statistics and conducted logistic regression analyses to determine variation in crude and risk-adjusted preterm birth rates by prenatal care site.

RESULTS

The crude preterm birth rates averaged 7.8% (range = 2.0%-18.7%) by prenatal care site. The adjusted preterm birth rate was 8.0% (range = 2.8%-18.5%) by prenatal care site. Risk-adjusted preterm birth site-level rates at the 90th percentile were 2.7 times higher than those in the 10th percentile. The variation in risk-adjusted preterm birth site-level rates was not fully explained by birth volume, rural site location, or racial and ethnic composition of the patients who received prenatal care at the site.

CONCLUSION

Wide variation in risk-adjusted preterm birth rates across prenatal care sites exists, and factors beyond known individual demographics and medical factors contribute to the variation. Further research is warranted to identify why receiving care at some prenatal sites is associated with higher risk of preterm birth than receiving care at others.

Young black women's desired pregnancy and birthing support during coronavirus disease 2019 pandemic

Objective

To document pregnancy and birthing experiences of young, Black pregnant women in one geographic area to make recommendations for improving young Black women's pregnancy and birthing experiences.

Methods

Participants were recruited through The YoungMoms Study (R01 DA04640101A1) in Pittsburgh, Pennsylvania, and included Black or biracial participants ages 16-23 (n = 25). Individual interviews were conducted from March 2022-July 2022 to assess pre-, peri-, and post-natal healthcare system encounters; experiences of structural and obstetric racism and discrimination in healthcare settings while obtaining prenatal care; attitudes around healthcare systems and medical professionals; effects of COVID-19 pandemic on participants lives and the impact of enacted healthcare policies in their perinatal experience; substance use changes during pregnancy; and coping mechanisms for stress. NVivo 13 was used to code transcripts, then major themes and subthemes were identified using thematic content analysis and based on grounded theory.

Results

Twenty-five interviews were conducted, and four themes emerged from participant experiences of racial discrimination in healthcare settings; (1) awareness of historical racism that influences perinatal care; (2) clinical providers assume participant substance use and enact reproductive coercion; (3) clinical providers question validity of Black women's birthing complaint; and (4) Young Black pregnant women know and will express what they desire in their perinatal experience if asked.

Conclusions

Young Black pregnant women encounter structural racism and intersectional bias from healthcare providers. By centering the perspectives and experiences of this overlooked population, public health researchers and clinical providers can utilize anti-racist frameworks to create more equitable, just practices in reproductive healthcare.

Our Commitment to Promoting Diversity, Equity, Inclusion, and Justice in Child Maltreatment

In this commentary, the editorial team of Child Maltreatment extends and expands on APSAC's position on diversity, equity, inclusion, and justice, affirms our commitment and plans for addressing these issues in this publication, and highlights articles in this issue that continue the discussion about race and racism in the child welfare and child protection systems.

Racial and Ethnic Inequities in Development of Type 2 Diabetes After Gestational Diabetes Mellitus

OBJECTIVE

To estimate racial and ethnic disparities in type 2 diabetes mellitus after gestational diabetes mellitus (GDM) and to investigate baseline pregnancy clinical and social or structural characteristics as mediators.

METHODS

We conducted a retrospective cohort of individuals with GDM using linked 2009-2011 New York City birth and hospital data and 2009-2017 New York City A1c Registry data. We ascertained GDM and pregnancy characteristics from birth and hospital records. We classified type 2 diabetes as two hemoglobin A 1c test results of 6.5% or higher. We grouped pregnancy characteristics into clinical (body mass index [BMI], chronic hypertension, gestational hypertension, preeclampsia, preterm delivery, caesarean, breastfeeding, macrosomia, shoulder dystocia) and social or structural (education, Medicaid insurance, prenatal care, and WIC [Special Supplemental Nutrition Program for Women, Infants, and Children] participation). We used Cox proportional hazards models to estimate associations between race and ethnicity and 8-year type 2 diabetes incidence, and we tested mediation of pregnancy characteristics, additionally adjusting for age and nativity (U.S.-born vs foreign-born).

RESULTS

The analytic data set included 22,338 patients with GDM. The 8-year type 2 diabetes incidence was 11.7% overall and 18.5% in Black, 16.8% in South and Southeast Asian, 14.6% in Hispanic, 5.5% in East and Central Asian, and 5.4% in White individuals with adjusted hazard ratios of 4.0 (95% CI 2.4-3.9), 2.9 (95% CI 2.4-3.3), 3.3 (95% CI 2.7-4.2), and 1.0 (95% CI 0.9-1.4) for each group compared with White individuals. Clinical and social or structural pregnancy characteristics explained 9.3% and 23.8% of Black, 31.2% and 24.7% of Hispanic, and 7.6% and 16.3% of South and Southeast Asian compared with White disparities. Associations between education, Medicaid insurance, WIC participation, and BMI and type 2 diabetes incidence were more pronounced among White than Black, Hispanic, and South and Southeast Asian individuals.

CONCLUSION

Population-based racial and ethnic inequities are substantial in type 2 diabetes after GDM. Characteristics at the time of delivery partially explain disparities, creating an opportunity to intervene on life-course cardiometabolic inequities, whereas weak associations of common social or structural measures and BMI in Black, Hispanic and South and Southeast Asian individuals demonstrate the need for greater understanding of how structural racism influences postpartum cardiometabolic risk in these groups.

Impact of exposure to air pollution on cervicovaginal microbial communities

PURPOSE

Vaginal microbial communities can be dominated by anaerobic (community state type IV, CST IV) or Lactobacillus (other CSTs) species. CST IV is a risk factor for spontaneous preterm birth (sPTB) and is more common among Black than White populations. In the US, average air pollution exposures are higher among Black compared to White people and exert systemic health effects. We sought to (1) quantify associations of air pollution, specifically particulate matter <2.5 μm in diameter (PM2.5), with CST IV and (2) explore the extent to which racial disparities in PM2.5 exposure might explain racial differences in the prevalence of CST IV.

DESIGN

Methods: We performed a secondary analysis of 566 participants of the Motherhood & Microbiome study. PM2.5 exposures were derived from a machine learning model integrating NASA satellite and EPA ground monitor data. Previously, cervicovaginal swabs from 15 to 20 weeks' gestation were analyzed using 16 S rRNA sequencing and hierarchical clustering assigned CSTs. Multivariable logistic regression models calculated adjusted odds ratios of CST IV (vs. other CSTs) per interquartile range (IQR) increment of PM2.5. Race-stratified and mediation analyses were performed.

RESULTS

Higher PM2.5 exposure was associated with CST IV (aOR 1.39, 95% CI 1.02-1.91). Further adjustment for race/ethnicity attenuated the association (aOR 1.34, 95% CI: 0.97-1.83). Black participants (vs. White) had higher median PM2.5 exposure (10.6 vs. 9.6 μg/m3, P < 0.001) and higher prevalence of CST IV (47% vs. 11%, P < 0.001). Mediation analysis revealed that higher PM2.5 exposure may explain 3.9% (P = 0.038) and 3.3% (P = 0.15) of the Black-White disparity in CST IV in unadjusted and adjusted models, respectively.

CONCLUSION

PM2.5 was associated with CST IV, a risk factor for sPTB. Additionally, PM2.5 exposure may partially explain racial differences in the prevalence of CST IV. Further research is warranted to discover how environmental exposures affect microbial composition and perpetuate racial health disparities.

Experiences of Racial Discrimination and Periconceptional Diet Quality

BACKGROUND

Racism is a key determinant of perinatal health disparities. Poor diet may contribute to this effect, but research on racism and dietary patterns is limited.

OBJECTIVE

We aimed to describe the relation between experiences of racial discrimination and adherence to the 2015‒2020 Dietary Guidelines for Americans.

METHODS

We used data from a prospective pregnancy cohort study conducted at 8 United States medical centers (2010‒2013). At 6‒13 weeks of gestation, 10,038 nulliparous people with singleton pregnancies were enrolled. Participants completed a Block food frequency questionnaire, assessing usual diet in the 3 mo around conception, and the Krieger Experiences of Discrimination Scale, assessing the number of situational domains (e.g., at school and on the street) in which participants ever experienced racial discrimination. Alignment of dietary intake with the 2015-2020 Dietary Guidelines for Americans was assessed using the Healthy Eating Index (HEI)-2015.

RESULTS

The study showed that 49%, 44%, 35%, and 17% of the Asian, Black, Hispanic, and White participants reported experiences of racial discrimination in any domain. Most participants experienced discrimination in 1 or 2 situational domains. There were no meaningful differences in HEI-2015 total or component scores in any racial or ethnic group according to count of self-reported domains in which individuals experienced discrimination. For example, mean total scores were 57‒59 among Black, 61‒66 among White, 61‒63 among Hispanic, and 66‒69 among Asian participants across the count of racial discrimination domains.

CONCLUSIONS

This null association stresses the importance of going beyond interpersonal racial discrimination to consider the institutions, systems, and practices affecting racialized people to eliminate persistent inequalities in diet and perinatal health.

Obstetrical health care inequities in a universally insured health care system

BACKGROUND

Racial and ethnic disparities in health care exist and are rooted in long-standing systemic inequities. These disparities result in significant excess health care expenditures and are due to complex interactions between patients, health care providers and systems, and social and environmental factors. In perinatal care, these inequities also exist, with Black patients being 3 to 4 times more likely to die of childbirth compared with White patients. Similar health care inequities may also exist in the Military Health System despite universal health care coverage, stable employment, and social programs that benefit military families.

OBJECTIVE

This study aimed to evaluate racial disparities in obstetrical outcomes in the Military Health System.

STUDY DESIGN

This is a retrospective cohort study of deliveries from 2019 to 2021 in the Military Health System, which provides obstetrical care for approximately 35,000 annual deliveries. The study was conducted using National Perinatal Information Center data on cesarean delivery, postpartum hemorrhage, and severe maternal morbidity by race and ethnicity from direct-care military hospitals representing tertiary care medical centers and community hospitals in the United States and abroad. Chi-square analyses and binary logistic regression were used to compare groups.

RESULTS

The cohort included 68,918 deliveries. Of these, 32,358 (47%) were White, 9594 (13.9%) Black, 3120 (4.5%) Asian Pacific Islander, 456 (0.7%) American Indian/Alaska Native, 19,543 (28.4%) other, 3976 (5.8%) unknown, 7096 (10.3%) Hispanic, 58,009 (84.2%) non-Hispanic, and 4399 (6.4%) other ethnicity. Rates of cesarean delivery were significantly higher for Black (30%; odds ratio, 1.44; 95% confidence interval, 1.37-1.52), Asian Pacific Islander (27%; odds ratio, 1.24; 95% confidence interval, 1.14-1.35), and other (26%; odds ratio, 1.20; 95% confidence interval, 1.15-1.25) compared with White race (23%) (P<.001). Postpartum hemorrhage rates were higher for Black (5.9%; odds ratio, 1.11; 95% confidence interval, 1.00-1.24) and Asian Pacific Islander (7.7%; odds ratio, 1.49; 95% confidence interval, 1.29-1.72) compared with White race (5.3%) (P<.001). Severe maternal morbidity was higher for Black (2.9%; odds ratio, 1.44; 95% confidence interval, 1.24-1.67), Asian Pacific Islander (2.9%; odds ratio, 1.45; 95% confidence interval, 1.15-1.82), and other (2.8%; odds ratio, 1.36; 95% confidence interval, 1.21-1.54) compared with White race (2.1%) (P<.001). For severe maternal morbidity excluding blood transfusions, rates were also significantly higher for Black (1%; odds ratio, 1.68; 95% confidence interval, 1.30-2.17) than for White race (0.6%) (P<.002). Hispanic ethnicity was associated with a lower rate of severe maternal morbidity excluding transfusions (0.5%; odds ratio, 0.68; 95% confidence interval, 0.48-0.98) compared with non-Hispanic ethnicity (0.7%) (P=.04).

CONCLUSION

Racial disparities in obstetrical outcomes exist in the Military Health System despite universal health care coverage, with significantly higher rates of cesarean delivery and severe maternal morbidity in Black, Asian Pacific Islander, and other races compared with White race. These findings suggest that these disparities are likely related to other factors or social determinants of health rather than availability of health care and insurance coverage. Further work should include investigation into such social determinants of health to address their causes, including systemic and structural barriers.