Racial and Ethnic Disparities in Obstetric Anesthesia Care

Racial and ethnic disparities are prevalent in healthcare, and despite decades of public health initiatives to reduce and eliminate disparities, striking disparities persist. Disparities in health are a global concern. Disparities affect many vulnerable populations, including not only racial and ethnic minorities but also immigrants, asylum seekers, and nonnative speakers, as well as residents of rural communities. Monitoring the trends in disparities is important for the creation of policies and programs targeted at reducing inequities. While many examples of disparities exist in obstetric and obstetric anesthesia care, the disparities in maternal morbidity and mortality are among the most striking. Anesthesiologists and obstetricians have embraced achieving health equity as a goal. In this chapter, we will review the definitions of disparities, explore the underlying contributors to racial and ethnic disparities, and discuss approaches to achieve improvement in healthcare disparities, primarily in the United States.

DEFINITIONS

Race , in the historical context, was used to describe ancestry and people with shared physical traits. Ethnicity is also related to a shared ancestry, but denotes a shared culture (e.g., language, traditions, values). Race and ethnicity are social constructs; yet, to understand disparities within groups and develop targeted interventions, patients must be grouped by race and ethnicity. It is important to understand that misuse of race as a biologic construct may cause harm, and may actually magnify disparities. Genetic determinism is the belief that genes determine all phenotypic differences between the socially defined races, and that differences in allelic frequency drive disparities. However, in the United States, and worldwide, there is significant admixture among racial groups; genetic variability within racial groups is greater than variability between groups. Therefore, self-identified race may serve as a proxy for exposures, but is not a reliable proxy for genetic differences.

The US Office of Management and Budget “Race and Ethnic Standards for Federal Statistics and Administrative Reporting” classifies people into racial groups to facilitate comparing federal data. In 1997, the race categories were updated ; in this chapter, the following racial and ethnic categories are used: American Indian and Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, White, and Hispanic. Nearly 3.6 million children were born in the United States in 2023, and more than 30% of the US population self-identifies as a racial or ethnic minority.

Multiple definitions for disparities exist, but the US Agency for Healthcare Research and Quality, which produces the annual National Disparities Report , defines disparity as a difference between two groups, where the absolute difference is statistically significant, and the relative difference is at least 10% worse for the nonreferent group. The National Institute on Minority Health and Health Disparities (NIMHD) defines a health disparity as a health difference that adversely affects disadvantaged populations. Currently designated health disparity populations include racial and ethnic minority groups, populations of less privileged socioeconomic status, underserved rural populations, sexual and gender minority groups, and people with disabilities.

The root causes of disparities are complex; in healthcare, one conceptual model organizes the causes of disparities into patient factors, provider factors, and healthcare systems factors, which all interact with each other ( Fig. 14.1 ). Clinical care alone accounts for a small proportion of health outcomes, whereas the social determinants of health account for as much as 50%. The social determinants of health are defined by the World Health Organization as the nonmedical factors that influence health outcomes. These factors include income, education, employment, housing, transportation, food insecurity, social inclusion, and nondiscrimination, as well as access to health services. The NIMHD Minority Health and Health Disparities Research Framework incorporates the domains that influence health (e.g., biologic, behavioral, built environment, sociocultural environment, healthcare systems) and the levels of influence within those domains (e.g., individual, interpersonal, community, societal) in a matrix which expands on previous models to reflect the intersectionality of factors on both individual and population health ( Fig. 14.2 ).

Fig. 14.1

Origins of Healthcare Disparities.

Adapted from Kilbourne AM, Switzer G, Hyman K, et al. Advancing health disparities research within the health care system: a conceptual framework. Am J Public Health . 2006;96:2113–2121.

Fig. 14.2

National Institute on Minority Health and Health Disparities Research Framework.

Adapted from National Institute on Minority Health and Health Disparities. NIMHD research framework. Available at: https://www.nimhd.nih.gov/about/overview/research-framework/nimhd-framework.html . Accessed 19 January 2025.

DISPARITIES IN PRENATAL CARE AND OBSTETRIC DISEASE

Prenatal care, when established early and delivered with adequate quality, has been shown to improve pregnancy-related outcomes. In 2022, the rates of late (defined as initiation of care in the third trimester) or no prenatal care were higher for Black, Hispanic, American Indian and Alaskan Native, and Native Hawaiian and Pacific Islander women compared to non-Hispanic White women (10.0%, 9.1%, 12.6%, 22.4%, versus 4.7%, respectively). The barriers to access to prenatal care are likely multifactorial, but lack of appointment availability and long wait times disproportionately affect minority women compared to non-Hispanic White women using the same clinics. Past experiences of racism may also pose a barrier to women initiating prenatal care. In one study, Black and Hispanic women were three times more likely to report having experienced discrimination due to race, language, or culture than non-Hispanic White women. Many of the conditions associated with severe maternal morbidity and mortality, such as obesity, hypertensive disorders of pregnancy, diabetes mellitus, and other chronic illnesses are more prevalent among minority women; therefore, increasing the access to prenatal care for medical optimization may improve health outcomes. Studies have shown that public health department prenatal care programming is associated with improved Black maternal mortality rates.

DISPARITIES IN NEURAXIAL LABOR ANALGESIA AND ANESTHESIA

Neuraxial labor analgesia, such as epidural analgesia or combined spinal-epidural analgesia, is the most effective treatment for the pain associated with childbirth. Both the American College of Obstetricians and Gynecologists and the American Society of Anesthesiologists have promoted the use of neuraxial analgesia due to its efficacy and minimal effects on the neonate. Yet, despite 73% of delivering women using neuraxial labor analgesia for pain control in the United States, Black and Hispanic women are less likely to use this modality of pain control in labor compared to non-Hispanic White women (adjusted odds ratio [aOR], 0.86 and 0.75, respectively).

Studies documenting racial and ethnic disparities in use of neuraxial labor analgesia date back at least 20 years. In 2004, using the Georgia Medical Claims database, Rust et al. compared neuraxial labor analgesia use by race and ethnicity. Fifty-three percent of the 29,833 women in the cohort used neuraxial analgesia, but differences existed by race and ethnicity. While 60% of non-Hispanic White women used neuraxial labor analgesia, only 50% of Black women and 35% of Hispanic women used it. These disparities persisted even after controlling for patient age, metropolitan status, and the availability of anesthesiologists in the area. More contemporary studies have also documented racial and ethnic differences in the use of neuraxial analgesia for labor pain. Differences in use may be driven by the anticipated desire for neuraxial labor analgesia. In one study, women who were Hispanic and non-Hispanic Black were less likely to anticipate neuraxial labor analgesia use than non-Hispanic White women (51%, 61%, and 83%, respectively, P <.001) at the time of admission to the hospital for childbirth. Anticipated and actual use of neuraxial labor analgesia among Spanish-speaking Hispanic women were lower than among Hispanic women who speak English as their primary language. Even after adjusting for age, marital status, income, obstetric provider type (obstetrician/midwife), and labor type, Spanish-speaking women were significantly less likely to anticipate (aOR, 0.70; 97.5% confidence interval [CI], 0.53 to 0.92) and use (aOR, 0.88; 97.5% CI, 0.78 to 0.99) neuraxial labor analgesia compared to English-speaking Hispanic women.

Knowledge and familiarity with neuraxial labor analgesia may differ by race and ethnicity. Misconceptions and fears have been shown to be important drivers in a patient’s decision-making. In one survey, the rationale for avoiding neuraxial analgesia included fears of paralysis due to the procedure (76%), concerns about chronic back pain after the procedure (54%), and advice from friends and family against the use of neuraxial labor analgesia (36%). After analgesic counseling, the anticipated use rate increased from a baseline of 14% to 38%. In a randomized controlled trial, 200 patients were randomized to a formalized language-concordant education program regarding labor neuraxial analgesia (consisting of a video, informational pamphlet, and in-person counseling) versus standard care. The Hispanic women who participated in the education program had an increased likelihood of using neuraxial labor analgesia compared with those who received standard care (risk ratio, 1.33; 95% CI, 1.02 to 1.74).

A patient’s obstetric provider, and her provider’s preferences, may also contribute to differences in the rates of neuraxial labor analgesia use as the provider may discuss analgesic options with the patient in the antepartum period. The rate of neuraxial anesthesia use is lower among patients who deliver with nonobstetricians (e.g., midwives). While midwives historically cared for a smaller proportion of non-Hispanic White women than obstetricians, a study published in 2014 indicated there were no longer significant differences in maternal race or ethnicity between patients cared for by the two types of providers.

Racism may also contribute to disparities in neuraxial labor analgesia use. Several types of racism exist, including interpersonal, institutional, and structural. Institutional and structural racism are forms of racism that are embedded in systems, codified through laws or unwritten policies and established beliefs, which perpetuate unfair treatment to minority populations. Structural racism has been identified as one of the key drivers of the social determinants of health for marginalized populations ( Fig. 14.3 ). A commonly cited example is redlining, a now outlawed practice, in which the government sanctioned certain geographical areas as Black neighborhoods, and deemed these areas hazardous for monetary lending by banks. This practice led to generational economic disadvantage.

Fig. 14.3

Conceptual Map of Structural Racism in Healthcare.

Adapted from Furtado K, Verdeflor A, Waidmann T. A conceptual map of structural racism in health care; 2023.

Click to access A%20Conceptual%20Map%20of%20Structural%20Racism%20in%20Health%20Care.pdf

. Accessed 19 January 2025.

A cross-sectional study used 2017 US natality data to evaluate the association between structural racism and neuraxial analgesia use. Structural racism was operationalized as an index of three Black-White inequity ratios (ratios for lower education, unemployment, and incarceration in jails) measured in the county of the delivery hospital. The index was stratified into terciles, with the third tercile corresponding to the highest level of structural racism. For Black women, after adjustment for sociodemographic and clinical characteristics, the adjusted odds of neuraxial labor analgesia use for women in the third tercile compared to the first tercile was reduced by 28.3% (95% CI, 26.9% to 29.6%). For White women, this difference was 15.6% (95% CI, 14.7% to 16.5%). Given these differential effects observed in population-level data with multivariable risk adjustment, clinicians working in communities with substantial structural racism may not perceive any differences in the use of neuraxial analgesia.

Disparities in the use of neuraxial labor analgesia may impact disparities in the use of general anesthesia for cesarean delivery. While both neuraxial and general anesthesia are safe for cesarean delivery anesthesia, neuraxial anesthesia is preferred due to the numerous maternal and fetal benefits (see Chapter 26 ). In two studies using data from the Maternal-Fetal Medicine Units Network cesarean delivery registry, non-Hispanic Black and Hispanic patients had the highest odds of undergoing general anesthesia for cesarean delivery compared with non-Hispanic White patients. It is possible that the differential use of epidural labor analgesia among minority women contributed to the increased use of general anesthesia for cesarean delivery. In a retrospective analysis of 35,117 cesarean deliveries performed at a single academic institution between 2007 and 2018, 1147 cases (3.3%) were performed under general anesthesia. The rates of general anesthesia were 5.0% for Black patients, 3.7% for Hispanic patients, 2.6% for Asian patients, and 2.8% for non-Hispanic White patients ( P <.001). Among the patients who were in labor at the time of their cesarean delivery, 82.0% had neuraxial labor analgesia in situ . There were no racial or ethnic differences in the rates of general anesthesia use among those who had an epidural catheter in situ ( P =.16). These findings suggest that the extension of epidural analgesia to epidural surgical anesthesia may be one strategy for mitigating disparities in avoidable use of general anesthesia.

Disparities in postpartum pain management have also been reported. In a retrospective cohort study of 1701 cesarean deliveries, severe pain after delivery (pain score ≥ 7/10) was more common among women identifying as Black (28%) or Hispanic (22%) compared to those who identified as non-Hispanic White (20%) or Asian (15%). Black and Hispanic women also had fewer pain assessments and received less opioid pain medication than non-Hispanic White women in the first 24 hours after delivery. Other studies have shown that Black and Hispanic women have greater odds of a pain score > 5/10, but receive less inpatient pain medication (fewer morphine equivalents) than non-Hispanic White women, as well as fewer prescriptions for discharge opioid prescriptions.

DISPARITIES IN SEVERE MATERNAL MORBIDITY

Multiple definitions for severe maternal morbidity (SMM) exist. The US Centers for Disease Control and Prevention (CDC) define SMM as a composite of 21 indicators that can be extracted from administrative data. The American College of Obstetrics and Gynecology and the Society for Maternal-Fetal Medicine define SMM as unintended outcomes in the birthing process that may have significant short- and long-term consequences to a woman’s heath. In the United States, the prevalence of SMM increased from 146.8 per 10,000 discharges in 2008 to 179.8 per 10,000 discharges in 2021. The rates increased for all racial and ethnic groups; however, even after adjustment for demographics and hospital and visit characteristics, SMM rates were higher for all groups compared with non-Hispanic White women (aOR: Hispanic, 1.22; Asian, 1.33; Black, 1.39; American Indian, 1.41; Pacific Islander, 1.53).

Other studies have similarly found that adjustment for socioeconomic status does not eliminate disparities. A study with 588,232 matched hospital deliveries in New York City found that racial disparities in SMM persisted in even the highest income and educational groups ; nevertheless, living in the poorest neighborhoods exacerbated SMM risk among both Hispanic women and non-Hispanic Black women. The patient’s site of care, in particular, and delivery hospital type, may further contribute to disparities in SMM. Using the Nationwide Inpatient Sample data for 2010 and 2011, hospitals were stratified by the proportion of Black deliveries. Seventy-four percent of Black deliveries occurred in medium and high Black-serving hospitals, and these hospitals had a higher rate of SMM than low Black-serving hospitals (18.8 versus 13.3 per 1000 deliveries). Black women who delivered at high Black-serving hospitals had the highest rates of SMM (20.5 per 1000 deliveries). The clustering of minoritized and under- and uninsured people in low-quality health systems is an example of structural racism.

Disparities occur in many SMM conditions. Hemorrhage is a major contributor to SMM, and the incidence of postpartum hemorrhage (PPH) has been increasing (see Chapter 37 ). The majority of hemorrhages are secondary to uterine atony, and Hispanic ethnicity has been shown to be an independent risk factor for uterine atony requiring pharmacologic treatment. Black women are 53% more likely to receive a blood transfusion than non-Hispanic White women. Whether hemorrhage disparities are related to minority women experiencing more atony, having more underlying anemia, or a combination of other factors is not completely understood.

Black women are at higher risk for developing peripartum cardiomyopathy, are more likely to have severe disease at the time of diagnosis, and have worse recovery than non-Hispanic White women.

DISPARITIES IN MATERNAL MORTALITY

Maternal mortality is discussed in detail in Chapter 39 . Historically, in the United States, Black women are three to four times more likely to suffer peripartum death than non-Hispanic White women, and disparities exist for American Indian and Alaska Native women as well. Using data from the National Vital Statistics for 2021, the maternal mortality rate for non-Hispanic Black women was 2.6 times the rate for non-Hispanic White women. Maternal mortality risk increases with increasing age among all racial groups; however, Black women over 40 years of age are three and a half times more likely to die of pregnancy-related complications compared to White women of the same age. The substantial difference in maternal mortality among different racial and ethnic groups is not unique to the United States. Disparities in maternal mortality have also been found in the United Kingdom, Spain, and other countries.

In the United States, differences in four conditions accounted for 59% of the maternal mortality disparity gap using 2016 to 2017 vital statistics data: preeclampsia/eclampsia, postpartum cardiomyopathy, embolic disorders, and hemorrhage. Data from a report from nine states’ Maternal Mortality Review Committees (MMRC) found differences in pregnancy-related mortality by race and ethnicity. Among Black women, the most common causes of pregnancy-related deaths were cardiomyopathy, cardiovascular conditions, preeclampsia and eclampsia, hemorrhage, and embolism. Hypertensive disease was the leading cause of maternal death among Hispanic women.

Excess mortality has been noted for Black and Hispanic women who experience SMM compared to non-Hispanic White women. Among women with hypertensive disorders of pregnancy, Black women are 10 times more likely to die than non-Hispanic White women, and Hispanic women are eight times more likely to die than non-Hispanic White women. Disparities persist even after adjusting for confounders (e.g., age, marital status, and residence). Similarly, other studies have found that Black women who experience preeclampsia, eclampsia, abruption, placenta previa, and PPH have a higher case fatality rate than non-Hispanic White women.

Maternal geography, or site of care, may also contribute to disparities. States with a greater proportion of Black women in the population have higher rates of pregnancy-related deaths while states with fewer Black women have lower rates of pregnancy-related deaths. It has been posited that population-based disparities may be a result of poverty, immigration, or rural location, but Black women in Georgia are more likely to die in metropolitan, nonrural locations than rural locations. Adjustment for access to care does not eliminate disparities. A study of pregnancy-associated deaths in the state of Louisiana from 2016 to 2017 found increased maternal mortality for women residing in maternity care deserts; however, even after adjustment for geographic access, the racial and ethnic disparities persisted.

STRATEGIES FOR ADDRESSING DISPARITIES

Given that healthcare disparities are multifactorial, interventions at multiple levels will be required to reduce or eliminate them. In 2018, the National Partnership for Maternal Safety within the Council for Patient Safety in Women’s Healthcare developed the Reduction of Peripartum Racial and Ethnic Disparities Bundle . The bundle’s recommendations were organized into four Rs (Readiness, Recognition and Prevention, Response, and Reporting and Systems Learnings), which are used in the other maternal safety bundles. The recommendations were organized into five themes: (1) measurement of disparities, (2) recognition of disparities at the personal and systems levels, (3) awareness of the magnitude of disparities, (4) communication barriers, and (5) differences in the structure of care. In 2021, the American Society of Anesthesiologists Committee on Obstetric Anesthesia released a Statement on Reducing Maternal Peripartum Racial and Ethnic Disparities in Anesthesia Care . Actionable strategies for anesthesiologists are summarized in Box 14.1 .

Box 14.1

Recommendations for Anesthesia Providers for Reducing Peripartum Disparities

Recommendations adapted from American Society of Anesthesiologists Committee on Obstetric Anesthesia. Statement on Reducing Maternal Peripartum Racial and Ethnic Disparities in Anesthesia Care; 2021. https://www.asahq.org/standards-and-practice-parameters/statement-on-reducing-maternal-peripartum-racial-and-ethnic-disparities-in-anesthesia-care . Accessed 19 January 2025.

Ensure accurate documentation of race, ethnicity, and primary spoken language.
  • •

    Ensure that registration staff are trained on how to ask demographic questions to ensure patients understand why these data are being collected.

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    Know how to access interpreter services.

Race/ethnicity and primary spoken language data should be available in the electronic health record and used to create disparities dashboards.
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    Define important process and outcome metrics (e.g., neuraxial analgesia use, unintentional dural puncture rate, general anesthesia rate) and stratify these data by race, ethnicity, and primary spoken language.

  • •

    Make stratified outcome metrics available to staff and leadership.

Recommendations specific to anesthesiaproviders
  • •

    Receive education on racial and ethnic disparities in anesthesia care and their root causes.

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    Employ best practices for shared decision-making when discussing procedures (e.g., neuraxial labor analgesia).

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    Work with other peripartum providers to identify women at risk for complications, engage in multidisciplinary peripartum planning, and develop and implement protocols and evidence-based safety bundles such as those from the American College of Obstetricians and Gynecologists Council on Patient Safety bundles.

  • •

    Consider implementing the SOAP Enhanced Recovery after Cesarean recommendations ; implementation may minimize variation in care and reduce disparities.

  • •

    Anesthesia providers should engage in quality improvement initiatives that target reducing racial and ethnic disparities.

Engage in initiatives to support workforce diversity both within the anesthesia department, as well as within the institution.
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    Encourage engagement in pipeline programs and mentorship of diverse learners across the pipeline.

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    Evaluate culture of equity.

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    Implement strategies, such as holistic interviewing.

SOAP , Society for Obstetric Anesthesia and Perinatology.

Measurement of Disparities

To measure baseline data and changes in patient outcomes, it is imperative that systems be implemented to accurately document patients’ self-identified race and ethnicity. This will allow for the development of disparity dashboards, which have been recommended in the Reduction of Peripartum Racial and Ethnic Disparities bundle. Staff assignment of the patient’s race, or the use of surname to assign race and ethnicity, have been proven inaccurate. The American Health Association’s Health Research and Educational Trust developed a web-based tool to assist hospitals, health systems, and clinics with resources for systematically collecting race, ethnicity, and primary language data from patients.

It is also important that clinicians are cognizant of patient’s preferred primary spoken language, as communication barriers may contribute to healthcare disparities. At the national level, several measures are in place to ensure linguistic support to patients with limited English proficiency. The National Culturally and Linguistically Appropriate Services (CLAS) Standards in Health and Health Care state that an interpreter must be available to patients at no cost. Title VI of the Equal Employment Opportunity Program prohibits national origin discrimination affecting persons with limited English proficiency. Clinicians should be aware of how to access interpreter services at their institution and refrain from utilizing second-language skills to counsel patients if they are not proficient in the use of that language.

Recognition of Disparities at the Personal andSystems Levels

Anesthesiologists should receive education about racial and ethnic disparities and actions that can be taken to reduce disparities. Ideally, this education can be delivered to anesthesiologists, obstetricians, and nursing staff, as addressing disparities will take multidisciplinary coordination. Protocols, such as enhanced recovery protocols and patient safety bundles should be implemented where possible, as these may help reduce variations in care, decrease implicit bias, and reduce disparities.

Differential treatment for minoritized populations can exacerbate disparities. Bias can affect a clinician’s perceptions and decisions and can impact patient-provider communication, treatment decisions, and ultimately, health outcomes. Bias can be explicit , meaning that the individual is aware of the preference, or implicit , meaning that the individual’s beliefs are not apparent to them, and differ from their explicit beliefs. The Implicit Association Test (IAT) is the most common tool to measure implicit bias, and tests are available for multiple areas (e.g., race, gender, age). In a retrospective study that evaluated the implicit and explicit preferences of 404,277 people who had taken the IAT, 2535 identified as physicians. Similar to the nonphysician sample, physicians showed an implicit preference for White Americans relative to Black Americans. In a review of 15 studies that assessed implicit bias in healthcare, most adverse outcomes were related to patient-provider interactions, underscoring the need for providers to be aware of their own implicit biases and how it may influence cross-cultural communication. Several states, including California, Delaware, Illinois, Maryland, and Michigan, have passed laws requiring implicit bias training for maternal healthcare providers.

At the institutional level, it is important to have a mechanism for patients, families, and staff to report inequitable care, episodes of disrespect, and miscommunication. If such an episode is reported, there should be a timely and tailored response. Creating a culture where justice, equity, diversity, and inclusion are prioritized and valued is one strategy that leaders may use to promote institutional diversity.

Initiatives to Identify and Reduce Racial and Ethnic Disparities

Perinatal providers should define the important process and outcome metrics that should be tracked in disparities dashboards. These data, stratified by race, ethnicity, and primary spoken language (if applicable), should be disseminated regularly to the staff and leadership. Furthermore, when conducting reviews of SMM, mortality, and other clinically important metrics, the role of race, ethnicity, language, literacy, and other social determinants of health, including racism at the interpersonal and system level, should be evaluated.

One hospital system in Pennsylvania implemented disparities dashboards, regular reporting of a composite SMM metric by race and ethnicity, implicit bias training, and standardization of best practices, and was able to demonstrate a decreased risk of SMM over time for Black patients (aOR for SMM for 2021 versus 2019, 0.73; 95% CI, 0.62 to 0.86). On a national level, state MMRCs use the Maternal Mortality Review Information Application (MMRIA) form to standardize data abstraction. In 2022, a multidisciplinary working group of experts in maternal health, the CDC Division of Reproductive Health, and the CDC Foundation developed definitions of racism and discrimination that were added to the MMRIA form. Structural racism, interpersonal racism, and discrimination were added as contributing factors for pregnancy-related deaths ( Box 14.2 ). By identifying these as contributing causes, MMRC recommendations may better target interventions to prevent future deaths.

Box 14.2

Definitions for Structural Racism, Interpersonal Racism, and Discrimination

Definitions adapted from Bailey ZD, Krieger N, Agenor M, et al. Structural racism and health inequities in the USA: evidence and interventions. Lancet . 2017;389:1453–1463; Jones CP. Levels of racism: a theoretic framework and a gardener’s tale. Am J PublicHealth . 2000;90:1212–1215; and Institute of Medicine, Smedley BD, Stith AY, Nelson, AR eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care ; 2003. https://www.ncbi.nlm.nih.gov/books/NBK220358/ . Accessed 19 January 2025.

Type of Racism Definition
Structural racism The systems of power based on historical injustices and contemporary social factors that systematically disadvantage people of color and advantage White people through inequities in housing, education, employment, earnings, benefits, monetary credit, media, healthcare, and criminal justice, among others
Interpersonal racism Discriminatory interactions between individuals based on differential assumptions about the abilities, motives, and intentions of others, resulting in differential actions toward others based on their race. Racism can be conscious as well as unconscious, and it includes acts of commission and omission. It manifests as lack of respect, suspicion, devaluation, scapegoating, and dehumanization of others.
Discrimination Treating someone less or more favorably based on the group, class, or category to which they belong, resulting from biases, prejudices, and stereotyping. Discrimination can manifest as differences in healthcare, clinical communication, and shared decision-making.

Institutions should develop quality improvement projects that target disparities; yet, it is important to note that interventions may improve quality for all groups, or may disproportionately improve or worsen the care for the group experiencing the disparity. Engaging patients and community partners as the intervention is developed is one strategy for ensuring the intervention is acceptable to patients, promotes the desired change, and increases sustainablility.

The National Network of Perinatal Quality Collaboratives promotes data-driven quality improvement initiatives to improve patient outcomes. At the state level, several perinatal quality collaboratives have engaged in birth equity initiatives, including the collaboratives in Illinois, Louisiana, and Massachusetts. In Louisiana, this work resulted in improvement in the Black-White disparity ratio for PPH, from 2.1 at baseline to 1.3 after the intervention. The rate of improvement was greater for Black women (50% improvement) than for non-Hispanic White women (15.7% improvement).

Communication Barriers

Empowering patient-centered care is essential and should focus on individual patient’s preferences and needs. Communication between the patient and the provider is an important component of patient-centered care (see Chapter32 ). Patient-centered communication improves patient recall, satisfaction, and health outcomes, and breakdowns in patient-provider communication may contribute to racial and ethnic disparities in healthcare.

Medical discussions can be challenging when there are a variety of options to consider, and patients may not have enough understanding to make an informed decision, particularly when challenged with low health literacy. Patients with low literacy are less likely to seek preventative care, understand medical instructions, and have higher mortality rates compared to patients with high literacy. Higher rates of low-health literacy exist among people who self-identify as racial and ethnic minorities compared to non-Hispanic White patients.

The use of shared decision-making (see Chapter 32 ) is one strategy that can be used to reduce disparities. Briefly, shared decision-making is a process by which the clinician shares relevant risks and benefits on treatments, as well as their alternatives, and engages the patient (and potentially her partner or family) in a discussion about personal information and beliefs that would make a treatment more or less desirable. Shared decision-making tools should be tailored so that cultural concerns (e.g., back pain and paralysis regarding neuraxial labor analgesia ) are integrated into the tool. The benefits of using decision aids have been demonstrated across populations, including the portion of the population with the lowest health literacy. It is unknown to what extent shared decision-making has been integrated into obstetric anesthesia practice, but one study that assessed audio recordings of patient counseling about anesthetic options in an outpatient preoperative clinic found objective shared decision-making scores were low.

Another area for improvement in healthcare disparities is diversity within the healthcare workforce. Underrepresented minorities in medicine (URiM) are defined as racial or ethnic groups that have been historically underrepresented in medicine relative to their numbers in the general population. Within the specialty of anesthesiology, the anesthesiologist physician workforce is neither reflective of the general patient population in the United States, nor of the general demographics of practicing physicians in all medical fields. There are many ways in which increased workforce diversity reduces disparities. URiM physicians are more likely to work in underserved communities. Concordance between patients and their providers has been associated with improved patient-provider communication, patient satisfaction, and trust. Furthermore, racial and ethnic concordance between patients and their physicians is associated with better patient experience measured using patient satisfaction survey scores.

One secondary analysis of a cohort of women undergoing cesarean delivery under neuraxial anesthesia evaluated the association between racial and ethnic concordance and patient satisfaction. Concordance between the patient and anesthesia team members was categorized as full concordance, partial concordance, discordance, and missing. Full concordance occurred in 4.5% of cases, partial concordance in 29.0%, discordance in 43.4%, and was missing in 23.1%. Satisfaction ratings did not differ among the concordance categories (88.9% for full concordance, 71.8% for partial concordance, 81.1% for discordance, and 78.5% for missing, P =.02). While this study is likely underpowered, given the small number of patient-anesthesia team pairings with full concordance, the results underscore the view that, while racial concordance may be preferred, other attributes of the patient-provider relationship (e.g., respect, competence, trust) are also valued and inform patient assessment of their healthcare interactions.

While a full discussion of strategies to increase the diversity of the physician workforce is outside the scope of this chapter, strategies such as holistic interviewing, engagement in pipeline programs, and an evaluation of the culture of equity within a department are actionable steps that may increase provider diversity. Creation of community is important as diversity thrives in departments where there is a culture of inclusion.

Differences in the Structure of Care

The structure of care in the peripartum period may be fractured for women from minoritized communities because they may receive their antepartum care in clinics where the obstetric providers do not have privileges at the hospital where the delivery will occur. Healthcare coverage is also fragmented because some pregnant women gain insurance coverage during pregnancy only to lose it when they are no longer pregnant. Medicaid, the US government-sponsored health insurance program for low-income individuals, insures women with incomes up to 138% of the poverty level, yet disparities in Medicaid coverage exist.

Historically, Medicaid only provided insurance coverage for 60 days after delivery. However, the majority of maternal deaths occur postpartum; thus, expanding Medicaid coverage to 1 year after delivery ensures that vulnerable patients do not lose access to postpartum healthcare. The American Rescue Plan Act of 2021 provided states with the option of extending postpartum Medicaid coverage from 60 days to 12 months. This option was made permanent under the Consolidated Appropriations Act of 2023. As of August 2024, all states except Arkansas have expanded postpartum Medicaid coverage to 1 year. Arkansas has expanded coverage for parents or other caretaker relatives who care for minor children. A cross-sectional study that utilized the Underlying Cause of Death 2006 to 2017 data files from the National Center for Health Statistics compared maternal death rates in states with and without Medicaid expansion. There were 7 fewer deaths per 100,000 live births in Medicaid expansion states ( P =.002).

Key Points

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    Healthcare disparities are a global issue and affect many vulnerable populations, including women who belong to racial and ethnic minority groups, immigrants, nonnative speakers, asylum seekers, and residents of rural communities.

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    Social determinants of health are the nonmedical factors that influence health outcomes, including income, education, employment, housing, transportation, food security, social inclusion, and nondiscrimination, as well as access to health services. These factors play an important role in health outcomes.

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    Racial and ethnic disparities exist for the use of neuraxial labor analgesia and for neuraxial versus general anesthesia for cesarean deliveries. For women who are in labor, the extension of epidural analgesia to epidural anesthesia may be one strategy to mitigate disparities in avoidable use of general anesthesia for cesarean delivery.

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    Racial and ethnic disparities in maternal mortality have been documented in the United States and worldwide. In the United States, the rate of maternal mortality has been three to four times higher for Black women compared to non-Hispanic White women.

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    Multiple strategies have been suggested for reducing racial and ethnic disparities, including accurate measurement of race, ethnicity, and primary spoken language; use of dashboards to track disparities in outcome metrics; provider education about disparities and their root causes; reducing provider-patient communication barriers by shared decision-making; and engagement in programs to reduce workforce racial and ethnic disparities and increase workforce diversity.

  • •

    Protocols such as enhanced recovery protocols and patient safety bundles should be implemented when possible, as these may help reduce variations in care, decrease implicit bias, and reduce disparities.

References

1.: Agency for Healthcare Research and Quality. 2023 National healthcare quality and disparities report; 2023. https://www.ahrq.gov/research/findings/nhqrdr/nhqdr23/index.html . Accessed January 13, 2025.
2.: Tangcharoensathien V, Lekagul A, Teo YY: Global health inequities: more challenges, some solutions . Bull World Health Organ 2024; 102: pp. 8686A.
3.: Saucedo M, Deneux-Tharaux C, Bouvier-Colle MH: Understanding regional differences in maternal mortality: anational case-control study in France . BJOG 2012; 119: pp. 573-581.
4.: Garcia-Tizon Larroca S, Arevalo-Serrano J, Ruiz Minaya M, et al.: Maternal mortality trends in Spain during the 2000-2018 period: the role of maternal origin . BMC Public Health 2022; 22: pp. 337.
5.: Eslier M, Azria E, Chatzistergiou K, et al.: Association between migration and severe maternal outcomes in high-income countries: systematic review and meta-analysis . PLoS Med 2023; 20: pp. e1004257.
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Oct 18, 2026 | Posted by in ANESTHESIA | Comments Off on Racial and Ethnic Disparities in Obstetric Anesthesia Care

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