Race, Medicaid Coverage, and Equity in Maternal Morbidity

Perceived Bias and U.S. Perinatal Health Care Quality: Implications for Practice and Policy

Introduction: U.S. maternal mortality rates are high. Inequities in birth outcomes are pervasive. Patient perception of bias during pregnancy-related care, especially among minoritized communities, is a risk factor for adverse perinatal health outcomes. Addressing this may be vital to lowering maternal mortality and improving care. The aim of this review was to explore the association between patient perception of provider bias and U.S. perinatal health care quality in birthing people. Methods: Following PRISMA-ScR guidelines, we conducted a scoping review of original published studies (2003-2023) addressing perceived bias/discrimination and perinatal care quality metrics. Both qualitative and quantitative studies were evaluated to formulate a broad conceptualization of the research examining perceived bias and perinatal health care quality. Results: Four addressed themes arose from this review that related to the association of perceived bias with: (i) demographic factors such as race/ethnicity and insurance type; (ii) patients' pregnancy-related health care engagement; (iii) a breakdown in communication and trust between patients and providers; and (iv) patients' sense of choice/control in their perinatal health care engagement. Conclusions: Researchers are using first-person accounts of perceived bias to better understand the etiology of inequitable maternal health statistics in the United States. Preliminary outcomes from this body of work indicate a relationship between the perception of bias, provider relationships, health care engagement, and maternal agency. The role of bias perception on maternal mortality may be an important barrier to improved health outcomes, particularly in minoritized populations.

Disparities in obstetric sepsis and strategies to prevent them

Severe morbidity and mortality associated with sepsis in obstetric care occur even among those presumed to be at low risk, are highly preventable and deserve critical public health prioritization. Continued research is warranted that focuses on the development and performance assessment of screening tools, standardizing diagnostic criteria, and understanding how to implement and sustain quality improvement practices to support timely recognition and treatment, as well as equitable healthcare practices to improve maternal outcomes across diverse populations.

Examination of the Black-White racial disparity in severe maternal morbidity among Georgia deliveries, 2016 to 2020

BACKGROUND

Studies find that delivery hospital explains a significant portion of the Black-White gap in severe maternal morbidity. No such studies have focused on the US Southeast, where racial disparities are widest, and few have examined the relative contribution of hospital, residential, and maternal factors.

OBJECTIVE

This study aimed to estimate the portion of Georgia's Black-White gap in severe maternal morbidity during delivery through 42 days postpartum explained by hospital, residential, and maternal factors.

STUDY DESIGN

Using linked Georgia hospital discharge, birth, and fetal death records for 2016 through 2020, we identified 413,124 deliveries to non-Hispanic White (229,357; 56%) or Black (183,767; 44%) individuals. We linked hospital data from the American Hospital Association and Center for Medicare and Medicaid Services, and area data from the Area Resource File and American Community Survey. We identified severe maternal morbidity indicator conditions during delivery or subsequent hospitalizations through 42 days postpartum. Using race-specific logistic models followed by a decomposition technique, we estimated the portion of the Black-White severe maternal morbidity gap explained by the following: (1) sociodemographic factors (age, education, marital status, and nativity), (2) medical conditions (diabetes mellitus, gestational diabetes, chronic hypertension, gestational hypertension or preeclampsia, and smoking), (3) obstetrical factors (singleton or multiple, and birth order); (4) access to care (no or third trimester care, and payer), (5) hospital factors that are time-varying (delivery volume, deliveries per full-time equivalent nurse, doctor communication, patient safety, and adverse event composite score) or measured time-invariant characteristics (ownership, profit status, religious affiliation, teaching status, and perinatal level), and (6) residential factors (county urban/rural classification, percent uninsured women of reproductive age, obstetrician-gynecologists per women of reproductive age, number of federally-qualified and community health centers, medically-underserved area [yes/no], and census tract neighborhood deprivation index). We estimated models with and without hospital fixed-effects, which account for unobserved time-invariant hospital characteristics such as within-hospital care processes or unmeasured hospital-specific factors.

RESULTS

There was 1.8 times the rate of severe maternal morbidity per 100 discharges among non-Hispanic Black (3.15) than among White (1.73) individuals, with an explained proportion of 30.4% in models without and 49.8% in models with hospital fixed-effects. In the latter, hospital fixed-effects explained the largest portion of the Black-White severe maternal morbidity gap (15.1%) followed by access to care (14.9%) and sociodemographic factors (14.4%), with residential factors being protective for Black individuals (-7.5%). Smaller proportions were explained by medical (5.6%), obstetrical (4.0%), and time-varying hospital factors (3.2%). Within each category, the largest explanatory portion was payer type (13.3%) for access to care, marital status (10.3%) for sociodemographic, gestational hypertension (3.3%) for medical, birth order (3.6%) for obstetrical, and patient safety indicator (3.1%) for time-varying hospital factors.

CONCLUSION

Models with hospital fixed-effects explain a greater proportion of Georgia's Black-White severe maternal morbidity gap than models without them, thereby supporting the point that differences in care processes or other unmeasured factors within the same hospital translate into racial differences in severe maternal morbidity during delivery through 42 days postpartum. Research is needed to discern and ameliorate sources of within-hospital differences in care. The substantial proportion of the gap attributable to racial differences in access to care and sociodemographic factors points to other needed policy interventions.

Postpartum healthcare expenditures for commercially insured deliveries with and without severe maternal morbidity

BACKGROUND

Although severe maternal morbidity is associated with adverse health outcomes in the year after delivery, patterns of healthcare use beyond the 6-week postpartum period have not been well documented.

OBJECTIVE

This study aimed to estimate healthcare utilization and expenditures for deliveries with and without severe maternal morbidity in the 12 months following delivery among commercially insured patients.

STUDY DESIGN

Using data from the 2016 to 2018 IBM Marketscan Commercial Claims and Encounters Research Databases, we identified deliveries to individuals 15 to 49 years of age who were continuously enrolled in noncapitated health plans for 12 months after delivery discharge. We used multivariable generalized linear models to estimate adjusted mean 12-month medical expenditures and 95% confidence intervals for deliveries with and without severe maternal morbidity, accounting for region, health plan type, delivery method, and obstetrical comorbidities. We estimated expenditures associated with inpatient admissions, nonemergency outpatient visits, outpatient emergency department visits, and outpatient pharmaceutical claims.

RESULTS

We identified 366,282 deliveries without severe maternal morbidity and 3976 deliveries (10.7 per 1000) with severe maternal morbidity. Adjusted mean total medical expenditures for deliveries with severe maternal morbidity were 43% higher in the 12 months after discharge than deliveries without severe maternal morbidity ($5320 vs $3041; difference $2278; 95% confidence interval, $1591-$2965). Adjusted mean expenditures for readmissions and nonemergency outpatient visits during the 12-month postpartum period were 61% and 39% higher, respectively, for deliveries with severe maternal morbidity compared with deliveries without severe maternal morbidity. Among deliveries with severe maternal morbidity, adjusted mean total costs were highest for patients living in the western region ($7831; 95% confidence interval, $5518-$10,144) and those having a primary cesarean ($7647; 95% confidence interval, $6323-$8970).

CONCLUSION

Severe maternal morbidity at delivery is associated with increased healthcare use and expenditures in the year after delivery. These estimates can inform planning of severe maternal morbidity prevention efforts.

Association between Delivery during Off-Hours and the Risk of Severe Maternal Morbidity: A Nationwide Population-Based Cohort Study

This study evaluated the association between off-hour deliveries and the risk of severe maternal morbidity (SMM). Data regarding Korean deliveries between 2005 and 2019 obtained from the National Health Insurance Service were used. SMM was evaluated using an algorithm developed by the United States Centers for Disease Control and Prevention. Modified Poisson regression analyses were conducted to investigate the association between off-hour deliveries and SMM, with stratification by hospital region and the number of beds. Approximately 32.7% of the 3,076,448 nulliparous women in this study delivered during off-hours, including 2.6% who experienced SMM. Patients who delivered at night had the highest risk of SMM (weekday nights, adjusted risk ratio (aRR): 1.41, 95% confidence interval (CI): 1.38-1.44; weekend nights, OR: 1.40, 95% CI: 1.34-1.46). The SMM of night deliveries was higher at hospitals located in small cities and those with 100-499 beds (weekend night: small cities, aRR: 1.49, 95% CI: 1.40-1.59; 100-499 beds, aRR: 1.83, 95% CI: 1.67-2.01; weekday night: small cities, aRR: 1.46, 95% CI: 1.42-1.51; 100-499 beds, aRR: 1.70, 95% CI: 1.62-1.79). Therefore, nighttime deliveries are associated with a higher risk of SMM, especially at hospitals located in small cities and those with 100-499 beds.

Racial Disparities in Severe Maternal Morbidity in an Integrated Health Care System, Southern California, 2008-2017

OBJECTIVE

The study's objectives were to examine rates of severe maternal morbidity (SMM) over a 10-year period and assess racial/ethnic disparities in SMM among insured women in a large, integrated health care system in Southern California.

METHODS

We included Kaiser Permanente Southern California (KPSC) health plan members who gave birth at ≥20 weeks' gestation in a KPSC-owned hospital during 2008-2017. An SMM case was defined as presence of one or more indicators of an SMM event during a birth hospitalization, identified using maternal electronic health records. Crude SMM rates/10,000 births were calculated by year and maternal race/ethnicity. Modified Poisson regression models were used to assess the association between race/ethnicity and SMM adjusted for other maternal demographics, pregnancy characteristics, and preexisting conditions.

RESULTS

We identified 5,915 SMM cases among 335,310 births. Crude SMM rates increased from 94.7 per 10,000 in 2008 to 192.6 in 2015 and 249.5 in 2017. Non-Hispanic Black (adjusted risk ratio [aRR] 1.52; 95% confidence interval [CI] 1.37-1.69), Asian/Pacific Islander (aRR 1.29, 95% CI 1.18-1.41), and Hispanic (aRR 1.18, 95% CI 1.10-1.27) women had greater likelihood of SMM than non-Hispanic White women. After further adjusting for preexisting health conditions, differences in SMM by race/ethnicity remained.

CONCLUSIONS

SMM rates increased during 2008-2017 and women of racial and ethnic minority groups, particularly non-Hispanic Black women, were more likely to experience an SMM event than non-Hispanic White women. Multilevel approaches to understanding structural and social factors that may be associated with racial and ethnic disparities in SMM are needed to develop and test effective interventions to reduce SMM.

Decolonizing nursing education and research to address racial disparities in maternal health

PURPOSE

In this paper, we discuss the need to move beyond theoretical explorations of social determinants of health (SDoH) to addressing systemic racism and its effect on Black maternal health outcomes. We also address the importance of connecting nursing research, education and practice and offer suggestions on how to transform the teaching, research and clinical practice specific to Black maternal health.

KNOWLEDGE DEVELOPMENT

A critical analysis of current Black maternal health teaching and research practices in nursing informed by the authors' experience in Black/African diasporic maternal health and reproductive justice.

DISCUSSION

There is a need for nursing to be more intentional in addressing the effects of systemic racism on Black maternal health outcomes. In particular, there is still a substantial focus on race rather than racism as a risk factor. The focus on racial and cultural differences rather than systems of oppression continues to pathologize racialized groups while failing to address the impact of systemic racism on the health outcomes of Black women.

CONCLUSION

Using a social determinant of health framework to examine maternal health disparities is useful; however, focusing on SDoH without challenging systems of oppression producing these disparities does not produce substantial changes. We suggest adding frameworks grounded in intersectionality, reproductive and racial justice and moving beyond biological assumptions about race that pathologize Black women. We also recommend a deliberate commitment to reshaping nursing research and education to centre anti-racist and anti-colonial practices that value community knowledge and practices.

NO PATIENT OR PUBLIC CONTRIBUTION

The discussion in this paper is based on the author's expertise.

Racial/Ethnic Disparities in Postpartum Health Insurance Coverage Among Rural and Urban U.S. Residents

Objective: Half of maternal deaths occur during the postpartum year, with data suggesting greater risks among Black, Indigenous, and people of color (BIPOC) and rural residents. Being insured after childbirth improves postpartum health-related outcomes, and recent policy efforts focus on extending postpartum Medicaid coverage from 60 days to 1 year postpartum. The purpose of this study is to describe postpartum health insurance coverage for rural and urban U.S. residents who are BIPOC compared to those who are white. Materials and Methods: Using data from the 2016-2019 Pregnancy Risk Assessment Monitoring System (n = 150,273), we describe health insurance coverage categorized as Medicaid, commercial, or uninsured at the time of childbirth and postpartum. We measured continuity of insurance coverage across these periods, focusing on postpartum Medicaid disruptions. Analyses were conducted among white and BIPOC residents from rural and urban U.S. counties. Results: Three-quarters (75.3%) of rural white people and 85.3% of urban white people were continuously insured from childbirth to postpartum, compared to 60.5% of rural BIPOC people and 65.6% of urban BIPOC people. Postpartum insurance disruptions were frequent among people with Medicaid coverage at childbirth, particularly among BIPOC individuals, compared to those with private insurance; 17.0% of rural BIPOC residents had Medicaid at birth and became uninsured postpartum compared with 3.4% of urban white people. Conclusions: Health insurance coverage at childbirth, postpartum, and across these timepoints varies by race/ethnicity and rural compared with urban residents. Policy efforts to extend postpartum Medicaid coverage may reduce inequities at the intersection of racial/ethnic identity and rural geography.

Severe Maternal Morbidity and Mortality Risk at the Intersection of Rurality, Race and Ethnicity, and Medicaid

OBJECTIVE

We examined differences in rates of severe maternal morbidity and mortality (SMMM) among Medicaid-funded compared with privately insured hospital births through specific additive and intersectional risk by rural or urban geography, race and ethnicity, and clinical factors.

METHODS

We used maternal discharge records from childbirth hospitalizations in the Health care Cost and Utilization Project's National Inpatient Sample from 2007 to 2015. We calculated predicted probabilities using weighted multivariable logistic regressions to estimate adjusted rates of SMMM, examining differences in rates by payer, rurality, race and ethnicity, and clinical factors. To assess the presence and extent of additive risk by payer, with other risk factors, on rates of SMMM, we estimated the proportion of the combined effect that was due to the interaction.

RESULTS

In this analysis of 6,357,796 hospitalizations for childbirth, 2,932,234 were Medicaid funded and 3,425,562 were privately insured. Controlling for sociodemographic and clinical factors, the highest rate of SMMM (224.9 per 10,000 births) occurred among rural Indigenous Medicaid-funded births. Medicaid-funded births among Black rural and urban residents, and among Hispanic urban residents, also experienced elevated rates and significant additive interaction. Thirty-two percent (Bonferroni-adjusted 95% confidence interval, 19%-45%) of SMMM cases among patients with chronic heart disease were due to payer interaction, and 19% (Bonferroni-adjusted 95% confidence interval, 17%-22%) among those with cesarean birth were due to the interaction.

CONCLUSIONS

Heightened rates of SMMM among Medicaid-funded births indicate an opportunity for tailored state and federal policy responses to address the particular maternal health challenges faced by Medicaid beneficiaries, including Black, Indigenous, and rural residents.

Obstetric and perinatal racial and ethnic disparities

PURPOSE OF REVIEW

Healthcare disparities are health differences that adversely affect disadvantaged populations. In the United States, research shows that women of color, in particular Black and Hispanic women and their offspring, experience disproportionately higher mortality, severe maternal morbidity, and neonatal morbidity and mortality. This review highlights recent population health sciences and comparative effectiveness research that discuss racial and ethnic disparities in maternal and perinatal outcomes.

RECENT FINDINGS

Epidemiological research confirms the presence of maternal and neonatal disparities in national and multistate database analysis. These disparities are associated with geographical variations, hospital characteristics and practice patterns, and patient demographics and comorbidities. Proposed solutions include expanded perinatal insurance coverage, increased maternal healthcare public funding, and quality improvement initiatives/efforts that promote healthcare protocols and practice standardization.

SUMMARY

Obstetrical healthcare disparities are persistent, prevalent, and complex and are associated with systemic racism and social determinants of health. Some of the excess disparity gap can be explained through community-, hospital-, provider-, and patient-level factors. Providers and healthcare organizations should be mindful of these disparities and strive to promote healthcare justice and patient equity. Several solutions provide promise in closing this gap, but much effort remains.