Misracialization of Indigenous people in population health and mortality studies: a scoping review to establish promising practices.

Indigenous people are often misracialized as other racial or ethnic identities in population health research. This misclassification leads to underestimation of Indigenous-specific mortality and health metrics, and subsequently, inadequate resource allocation. In recognition of this problem, investigators around the world have devised analytic methods to address racial misclassification of Indigenous people. We carried out a scoping review based on searches in PubMed, Web of Science, and the Native Health Database for empirical studies published after 2000 that include Indigenous-specific estimates of health or mortality and that take analytic steps to rectify racial misclassification of Indigenous people. We then considered the weaknesses and strengths of implemented analytic approaches, with a focus on methods used in the US context. To do this, we extracted information from 97 articles and compared the analytic approaches used. The most common approach to address Indigenous misclassification is to use data linkage; other methods include geographic restriction to areas where misclassification is less common, exclusion of some subgroups, imputation, aggregation, and electronic health record abstraction. We identified 4 primary limitations of these approaches: (1) combining data sources that use inconsistent processes and/or sources of race and ethnicity information; (2) conflating race, ethnicity, and nationality; (3) applying insufficient algorithms to bridge, impute, or link race and ethnicity information; and (4) assuming the hyperlocality of Indigenous people. Although there is no perfect solution to the issue of Indigenous misclassification in population-based studies, a review of this literature provided information on promising practices to consider.

Impacts of the Affordable Care Act's Medicaid Expansion on Live Births.

BACKGROUND: We hypothesize that the Affordable Care Act's (ACA) Medicaid expansion, which extended health insurance coverage to preconception, between-conception, and postconception periods for women meeting income eligibility guidelines, impacted the number of live births in the United States by increasing access to contraception and financial well-being. These impacts may differ by maternal socioeconomic and demographic characteristics. METHODS: Using data from birth certificates aggregated to the state-year level and a difference-in-differences design, we estimated the association between Medicaid expansion and count of live births. We also examined whether associations differed by socioeconomic and demographic characteristics. RESULTS: Overall, Medicaid expansion was not meaningfully associated with the count of births (difference-in-differences ß = 0.002; 95% confidence interval [CI] = -0.010, 0.015). However, among certain groups, Medicaid expansion was associated with meaningful changes in the count of live births, though all confidence intervals included the null value. The estimate of the relation between Medicaid expansion and the count of live births was -0.025 (95% CI = -0.052, 0.001) for those ages 18-24 years; -0.078 (95% CI = -0.231, 0.075) for those who were married, and -0.035 (95% CI = -0.104, 0.034) for those who were unmarried. CONCLUSIONS: Despite its potential to impact live births, our results indicate that the ACA's Medicaid expansion was not, in general, associated with live births of US residents of reproductive age. However, for younger, married, and unmarried women, the magnitude of estimates supports the hypothesis of a potentially meaningful effect of Medicaid expansions on live births.

A Geography of Risk: Structural Racism and Coronavirus Disease 2019 Mortality in the United States.

Coronavirus disease 2019 (COVID-19) is disproportionately burdening racial and ethnic minority groups in the United States. Higher risks of infection and mortality among racialized minorities are a consequence of structural racism, reflected in specific policies that date back centuries and persist today. Yet our surveillance activities do not reflect what we know about how racism structures risk. When measuring racial and ethnic disparities in deaths due to COVID-19, the Centers for Disease Control and Prevention statistically accounts for the geographic distribution of deaths throughout the United States to reflect the fact that deaths are concentrated in areas with different racial and ethnic distributions from those of the larger United States. In this commentary, we argue that such an approach misses an important driver of disparities in COVID-19 mortality, namely the historical forces that determine where individuals live, work, and play, and that consequently determine their risk of dying from COVID-19. We explain why controlling for geography downplays the disproportionate burden of COVID-19 on racialized minority groups in the United States. Finally, we offer recommendations for the analysis of surveillance data to estimate racial disparities, including shifting from distribution-based to risk-based measures, to help inform a more effective and equitable public health response to the pandemic.

Changing trends in Black-White racial differences in surgical menopause: a population-based study.

BACKGROUND: Bilateral oophorectomy before menopause, or surgical menopause, is associated with negative health outcomes, including an increased risk for stroke and other cardiovascular outcomes; however, surgical menopause also dramatically reduces ovarian cancer incidence and mortality rates. Because there are competing positive and negative sequelae associated with surgical menopause, clinical guidelines have not been definitive. Previous research indicates that White women have higher rates of surgical menopause than other racial groups. However, previous studies may have underestimated the rates of surgical menopause among Black women. Furthermore, clinical practice has changed dramatically in the past 15 years, and there are no population-based studies in which more recent data were used. Tracking actual racial differences among women with surgical menopause is important for ensuring equity in gynecologic care. OBJECTIVE: This population-based surveillance study evaluated racial differences in the rates of surgical menopause in all inpatient and outpatient settings in a large, racially diverse US state with historically high rates of hysterectomy. STUDY DESIGN: We evaluated all inpatient and outpatient surgeries in North Carolina from 2011 to 2014 for patients aged between 20 and 44 years. Surgical menopause was defined as a bilateral oophorectomy, with or without an accompanying hysterectomy, among North Carolina residents. International Classification of Diseases, Ninth Revision, and Current Procedural Terminology codes were used to identify inpatient and outpatient procedures, respectively, and diagnostic indications. We estimated age-, race-, and ethnicity-specific rates of surgical menopause using county-specific population estimates based on the 2010 United States census. We used Poisson regression with deviance-adjusted residuals to estimate the incidence rate ratios in the entire state population. We tested changes in surgery rates over time (reference year, 2011), differences by setting (reference, inpatient), and differences by race and ethnicity (reference, non-Hispanic White). We then described the surgery rates between non-Hispanic White and non-Hispanic Black patients. RESULTS: Between 2011 and 2014, 11,502 surgical menopause procedures for benign indications were performed in North Carolina among reproductive-aged residents. Most (95%) of these surgeries occurred concomitant with a hysterectomy. Over the 4-year study period, there was a 39% reduction in inpatient surgeries (incidence rate ratio, 0.61) and a 100% increase in outpatient surgeries (incidence rate ratio, 2.0). Restricting the analysis to surgeries among non-Hispanic White and Black patients, the increase in outpatient surgeries was significantly higher among non-Hispanic Black women (P<.01) for year-race interaction (reference, 2011 and non-Hispanic White). The overall rates of bilateral oophorectomy for non-Hispanic Black women rose more quickly than for non-Hispanic White women (P<.01). In 2011, the rate of surgical menopause was greater among White women than among Black women (17.7 vs 13.2 per 10,000 women). By 2014, the racial trends were reversed (rate, 24.8 per 10,000 for non-Hispanic White women and 28.4 per 10,000 for non-Hispanic Black women). CONCLUSION: Our findings suggest that the rates of surgical menopause increased in North Carolina in the early 2010s, especially among non-Hispanic Black women. By 2014, the rates of surgical menopause among non-Hispanic Black women had surpassed that of non-Hispanic White women. Given the long-term health consequences associated with surgical menopause, we propose potential drivers for the racially-patterned increases in the application of bilateral oophorectomy before the age of 45 years.

"American Indian" as a Racial Category in Public Health: Implications for Communities and Practice.

When public health considers the health and disease status of Indigenous people, it often does so using a racial lens. In recent decades, public health researchers have begun to acknowledge that commonly employed racial categories represent history, power dynamics, embodiment, and legacies of discrimination and racism, rather than innate biology. Even so, public health has not yet fully embraced an understanding of other components of identity formation for Indigenous people, including political status within Native nations. In this article, we discuss why the continued racial conceptualization of Indigeneity in US public health is inadequate. We begin by providing a brief account of racialization as a tool of colonization, of failure to recognize and acknowledge Indigenous sovereignty, and of common public health practices of Indigenous data collection and interpretation. We then articulate the stakes of racialized health data for Native communities. We end by offering alternative approaches, many drawn from scholarship from Indigenous researchers. (Am J Public Health. 2021;111(11):1969-1975. https://doi.org/10.2105/AJPH.2021.306465).

Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?

BACKGROUND: Inequalities by race and ethnicity in hysterectomy for noncancerous conditions suggest that some subgroups may be shouldering an unfair burden of procedure-associated negative health impacts. We aimed to estimate race- and ethnicity-specific rates in contemporary hysterectomy incidence that address three challenges in the literature: exclusion of outpatient procedures, no hysterectomy prevalence adjustment, and paucity of non-White and non-Black estimates. METHODS: We used surveillance data capturing all inpatient and outpatient hysterectomy procedures performed in North Carolina from 2011 to 2014 (N = 30,429). Integrating data from the Behavior Risk Factor Surveillance System and US Census population estimates, we calculated prevalence-corrected hysterectomy incidence rates and differences by race and ethnicity. RESULTS: Prevalence-corrected estimates show that non-Hispanic (nH) Blacks (62, 95% confidence interval [CI] = 61, 63) and nH American Indians (85, 95% CI = 79, 93) per 10,000 person-years (PY) had higher rates, compared with nH Whites (45 [95% CI = 45, 46] per 10,000 PY), while Hispanic (20, 95% CI = 20, 21) and nH Asian/Pacific Islander rates (8, 95% CI = 8.0, 8.2) per 10,000 PY were lower than nH Whites. CONCLUSION: Through strategic surveillance data use and application of bias correction methods, we demonstrate wide differences in hysterectomy incidence by race and ethnicity. See video abstract at, http://links.lww.com/EDE/B657.

Contemporary Geographic Variation and Sociodemographic Correlates of Hysterectomy Rates Among Reproductive-Age Women.

OBJECTIVE: For decades hysterectomy rates have famously demonstrated unexplained geographic variation. The aim of this study was to identify county-level correlates of hysterectomy rates among reproductive-age women. METHODS: Using county-level data from multiple sources, linked with claims-based surveillance data of every hysterectomy performed among women ages 20 to 44 in North Carolina from 2011 to 2013 (N = 7180), we explored social, economic, and healthcare factors associated with county-level rates. RESULTS: After accounting for spatial autocorrelation, county-level hysterectomy rates were negatively associated with county-level median household income, positively associated with the proportion married, and not associated with measures of healthcare capacity or access. CONCLUSIONS: This analysis provides preliminary evidence that contemporary hysterectomy use in North Carolina occurs along socioeconomic lines.

Did the Affordable Care Act Promote Racial Equity in Pregnancy-Related Health? A Scoping Review.

In the United States, there are profound and persistent racial and ethnic disparities in pregnancy-related health, emphasizing the need to promote racial health equity through public policy. There is evidence that the Affordable Care Act (ACA) increased health insurance coverage, access to health care, and health care utilization, and may have affected some pregnancy-related health outcomes (eg, preterm delivery). It is unclear, however, whether these impacts on pregnancy-related outcomes were equitably distributed across race and ethnicity. Thus, the objective of this study was to fill that gap by summarizing the peer-reviewed evidence regarding the impact of the ACA on racial and ethnic disparities in pregnancy-related health outcomes. The authors conducted a scoping review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR), using broad search terms to identify relevant peer-reviewed literature in PubMed, Web of Science, and EconLit. The authors identified and reviewed n = 21 studies and found that the current literature suggests that the ACA and its components were differentially associated with contraception-related and fertility-related outcomes by race/ethnicity. Literature regarding pregnancy health, birth outcomes, and postpartum health, however, was sparse and mixed, making it difficult to draw conclusions regarding the impact on racial/ethnic disparities in these outcomes. To inform future health policy that reduces racial disparities, additional work is needed to clarify the impacts of contemporary health policy, like the ACA, on racial disparities in pregnancy health, birth outcomes, and postpartum health.

Regional Variation in HPV Knowledge and Awareness among American Indians and Alaska Natives: An Analysis of the Health Information National Trends Survey, 2011-2020.

BACKGROUND: American Indian and Alaskan Native (AIAN) people experience a disproportionately high incidence of human papillomavirus (HPV)-related cancers and mortality, and these rates vary across geographic regions. To address the unexplained regional differences among AIAN people, we describe regional variations and sociodemographic correlates of HPV-related knowledge and HPV vaccination awareness indicators. METHODS: A cross-sectional study was implemented with data for 866 AIAN respondents pooled from eight cycles of the Health Information National Trends Survey. We used χ2 tests to determine whether there were regional differences in the indicators and then used multivariable, modified Poisson regression to explore associations between sociodemographic characteristics and HPV-related knowledge and vaccination awareness measures. RESULTS: Of the 13 indicators, just one demonstrated regional variation. However, we observed a high level of uncertainty regarding HPV and HPV vaccine-related knowledge and experience. We also observed that women were more likely than men to have heard of HPV [adjusted prevalence ratio (aPR), 1.29; 95% confidence interval (CI):1.03-1.63], the HPV vaccine (aPR, 1.59; 95% CI: 1.15-2.22), and to have discussed it with their providers (aPR, 3.69; 95% CI: 1.47-9.28). There were also differences by age, education, and insurance status. CONCLUSIONS: High levels of uncertainty and lack of regional variation in indicators suggest that there may be missed opportunities across Indian Country for engagement between health care providers and AIAN in HPV-related conversations. IMPACT: Efforts toward improving HPV knowledge and vaccination should target all at-risk sexes (and genders), age groups, and education levels. Moreover, AIAN-serving health care providers should be empowered with sufficient understanding, so they are prepared for discussions with at-risk patients.

Medicaid expansions and differences in guideline-adherent cervical cancer screening between American Indian and White women.

BACKGROUND: Although preventable through screening, cervical cancer incidence and mortality are higher among American Indian and Alaska Native women (AIAN) than White women. The Patient Protection and Affordable Care Act's (ACA) Medicaid expansions may uniquely impact access and use of cervical cancer screening among AIAN women and ultimately alleviate this disparity. METHODS: Using Medicaid eligible AIAN (N = 4681) and White (N = 57,661) women aged 18-64 years from the 2010-2020 Behavioral Risk Factor Surveillance System, we implemented difference-in-differences regression to estimate the association between the Medicaid expansions and guideline-adherent cervical cancer screening and health care coverage. RESULTS: The Medicaid expansions were not associated with guideline-adherent cervical cancer screening (AIAN: -1 percentage point [ppt] [95% confidence interval, CI: -4, 2 ppts]; White: 3 ppts [95% CI: -0, 6 ppts]), but were associated with a 2 ppt increase (95% CI: 0, 4 ppt) in having had a pap test in the last 5 years among White women. The Medicaid expansions were also associated with increases in having a health plan (AIAN: 5 ppts [95% CI: 1, 9]; White: 11 ppts [95% CI: 7, 15]) and decreases in avoiding medical care due to costs (AIAN: -8 ppts [95% CI: -13, -2]; White: -6 ppts [95% CI: -9, -4]). CONCLUSIONS: While we observed improvements in health care coverage, we did not observe changes to guideline-adherent cervical cancer screening following the ACA's Medicaid expansions. Given the disproportionate burden of cervical cancer among AIAN women, identifying ways to improve cervical cancer screening uptake and delivery should be prioritized to reduce preventable deaths.

Inequalities in cesarean births between American Indian & Alaska Native people and White people.

OBJECTIVE: To explore population-level American Indian & Alaska Native-White inequalities in cesarean birth incidence after accounting for differences in cesarean indication, age, and other individual-level risk factors. DATA SOURCES AND STUDY SETTING: We used birth certificate data inclusive of all live births within the United States between January 1 and December 31, 2017. STUDY DESIGN: We calculated propensity score weights that simultaneously incorporate age, cesarean indication, and clinical and obstetric risk factors to estimate the American Indian and Alaska Native-White inequality. DATA COLLECTION/EXTRACTION METHODS: Births to individuals identified as American Indian, Alaska Native, or White, and residing in one of the 50 US states or the District of Columbia were included. Births were excluded if missing maternal race/ethnicity or any other covariate. PRINCIPAL FINDINGS: After weighing the American Indian and Alaska Native obstetric population to be comparable to the distribution of cesarean indication, age, and clinical and obstetric risk factors of the White population, the cesarean incidence among American Indian and Alaska Natives increased to 33.4% (95% CI: 32.0-34.8), 3.2 percentage points (95% CI: 1.8-4.7) higher than the observed White incidence. After adjustment, cesarean birth incidence remained higher and increased in magnitude among American Indian and Alaska Natives in Robson groups 1 (low risk, primary), 6 (nulliparous, breech presentation), and 9 (transverse/oblique lie). CONCLUSIONS: The unadjusted lower cesarean birth incidence observed among American Indian and Alaska Native individuals compared to White individuals may be related to their younger mean age at birth. After adjusting for this demographic difference, we demonstrate that American Indian and Alaska Native individuals undergo cesarean birth more frequently than White individuals with similar risk profiles, particularly within the low-risk Robson group 1 and those with non-cephalic presentations (Robson groups 6 and 9). Racism and bias in clinical decision making, structural racism, colonialism, or other unidentified factors may contribute to this inequality.

Challenges with misclassification of American Indian/Alaska Native race and Hispanic ethnicity on death records in North Carolina occupational fatalities surveillance.

As frequently segregated and exploitative environments, workplaces are important sites in driving health and mortality disparities by race and ethnicity. Because many worksites are federally regulated, US workplaces also offer opportunities for effectively intervening to mitigate these disparities. Development of policies for worker safety and equity should be informed by evidence, including results from research studies that use death records and other sources of administrative data. North Carolina has a long history of Black/white disparities in work-related mortality and evidence of such disparities is emerging in Hispanic and American Indian/Alaska Native (AI/AN) worker populations. The size of Hispanic and AI/AN worker populations have increased in North Carolina over the last decade, and North Carolina has the largest AI/AN population in the eastern US. Previous research indicates that misidentification of Hispanic and AI/AN identities on death records can lead to underestimation of race/ethnicity-specific mortality rates. In this commentary, we describe problems and complexities involved in determining AI/AN and Hispanic identities from North Carolina death records. We provide specific examples of misidentification that are likely introducing bias to occupational mortality disparity documentation, and offer recommendations for improved data collection, analysis, and interpretation. Our primary recommendation is to build and maintain relationships with local community leadership, so that improvements in the ascertainment of race and ethnicity are grounded in the lived experience of workers from communities of color.

Patterns of black and white hysterectomy incidence among reproductive aged women.

OBJECTIVE: To investigate the intersection of race and economic context in treatment with hysterectomy among reproductive aged women with noncancerous gynecologic conditions. DATA SOURCES: We combined administrative billing records of inpatient and outpatient hysterectomy procedures (N = 28 301) occurring in North Carolina between 2011 and 2014 with census data to calculate county-level hysterectomy rates. STUDY DESIGN: Spatial analysis techniques examined the distribution of black and white hysterectomy rates across counties, and county-level black and white rate differences were compared across economic contexts. DATA COLLECTION/EXTRACTION: We restricted to those of premenopausal age identifying as non-Hispanic black or white, undergoing hysterectomy for nonemergent causes (N = 28 301 procedures). PRINCIPAL FINDINGS: County-level hysterectomy rates were spatially patterned (Moran's I, P < .05) and similarly so for black and white women (LISA, P < .005). The black-white difference in hysterectomy rates was the largest in the high economic tier counties (22/10 000 person-years [PY], P < .05) and smallest in the mid and low economic tier counties (11/10 000 PY, P > .05 and 10/10 000 PY, P > .05, respectively). CONCLUSION: Socioeconomic context is important to understand, particularly for black-white disparities in hysterectomy. Efforts should be made to understand the causes of higher rates of hysterectomy among blacks than whites, especially in counties in the highest economic tier.

How do we assess a racial disparity in health? Distribution, interaction, and interpretation in epidemiological studies.

Identifying the exposures or interventions that exacerbate or ameliorate racial health disparities is one of the fundamental goals of social epidemiology. Introducing an interaction term between race and an exposure into a statistical model is commonly used in the epidemiologic literature to assess racial health disparities and the potential viability of a targeted health intervention. However, researchers may attribute too much authority to the interaction term and inadvertently ignore other salient information regarding the health disparity. In this article, we highlight empirical examples from the literature demonstrating limitations of overreliance on interaction terms in health disparities research; we further suggest approaches for moving beyond interaction terms when assessing these disparities. We promote a comprehensive framework of three guiding questions for disparity investigation, suggesting examination of the group-specific differences in (1) outcome prevalence, (2) exposure prevalence, and (3) effect size. Our framework allows for better assessment of meaningful differences in population health and the resulting implications for interventions, demonstrating that interaction terms alone do not provide sufficient means for determining how disparities arise. The widespread adoption of this more comprehensive approach has the potential to dramatically enhance understanding of the patterning of health and disease and the drivers of health disparities.

The spatial distribution of gender differences in obesity prevalence differs from overall obesity prevalence among US adults.

PURPOSE: Although obesity disparities between racial and socioeconomic groups have been well characterized, those based on gender and geography have not been as thoroughly documented. This study describes obesity prevalence by state, gender, and race and/or ethnicity to (1) characterize obesity gender inequality, (2) determine if the geographic distribution of inequality is spatially clustered, and (3) contrast the spatial clustering patterns of obesity gender inequality with overall obesity prevalence. METHODS: Data from the Centers for Disease Control and Prevention's 2013 Behavioral Risk Factor Surveillance System were used to calculate state-specific obesity prevalence and gender inequality measures. Global and local Moran's indices were calculated to determine spatial autocorrelation. RESULTS: Age-adjusted, state-specific obesity prevalence difference and ratio measures show spatial autocorrelation (z-score = 4.89, P-value < .001). Local Moran's indices indicate the spatial distributions of obesity prevalence and obesity gender inequalities are not the same. High and low values of obesity prevalence and gender inequalities cluster in different areas of the United States. CONCLUSIONS: Clustering of gender inequality suggests that spatial processes operating at the state level, such as occupational or physical activity policies or social norms, are involved in the etiology of the inequality and necessitate further attention to the determinates of obesity gender inequality.