Racism in Pediatric Serious Illness and Palliative Care: A Scoping Review of Qualitative Research.

CONTEXT: Racial disparities in health outcomes have historically impacted Black and Native American children with serious illness, yet little is known about how racism shapes the healthcare experiences of these families. To improve care experiences for this population, we must understand the myriad of ways that racism may impact their experiences with serious illness. OBJECTIVES: (1) To assess the extent to which the experiences of Black and Native American families have been captured in existing serious illness and palliative care literature and (2) explore how experiences of racism uniquely impact this population. METHODS: We conducted a scoping review and qualitative meta-synthesis of peer-reviewed articles from 1980-2022 that included Black and/or Native American parents' or caregivers' experiences of serious illness care. We abstracted study characteristics, and forms of racism mentioned. RESULTS: Searches yielded 2762 articles, of which 6 were reviewed based on inclusion criteria. Three key themes emerged from the literature on the experiences of Black families navigating pediatric serious illness that highlight how parents navigate their future after a serious illness diagnosis; how relationships and support networks change after diagnosis; and the challenges associated with navigating grief and suffering after a diagnosis. Institutionalized racism and interpersonal racism were the most identified forms of racism experienced by Black families. None of the articles identified included Native American families. CONCLUSION: Our findings highlight the pressing need for further qualitative research to explore the lived experiences of racially minoritized families-especially studies focusing on the experiences of Native American families.

Pathways to maternal health inequities: Structural racism, sleep, and physiological stress.

Racial inequities in health are vast and well-documented, particularly regarding maternal and infant health. Sleep health, including but not limited to duration and quality, is central to overall health and well-being. However, research has not adequately addressed how racism embedded in structures and systems, in addition to individual experiences, may affect maternal health by impacting sleep. In this critical review, we aim to 1) synthesize findings, emphasizing collaborative studies within our group, 2) highlight gaps in knowledge, and 3) propose a theoretical framework and methodological approach for moving the field forward. Specifically, we focus on findings and future directions linking perinatal sleep, cardiovascular and immune function, and racial disparities in maternal health. Because too few studies look beyond individual-level determinants of sleep deficiencies among Black Americans, we assert a critical need for research that bridges multiple levels of analysis (e.g., individual, community, society) and provides recommendations for specific health parameters that researchers in this area can target. Although the need to understand and address perinatal health disparities is clear, the goal of identifying multilevel mechanisms underlying how racism in one's environment and daily life may interact to affect health extends far beyond pregnancy research.

Effects of an Intervention on Black Family Incomes on Self-Rated Health and Obesity in Black and White Adolescents and Young Adults.

Structural racism contributes to health disparities between U.S. non-Hispanic Black and non-Hispanic white populations by differentially distributing resources used to maintain health. Policies that equitably redistribute resources may mitigate racialized health disparities. Using National Longitudinal Study of Adolescent to Adult Health data and time-to-event parametric g-formula methods, we investigate a hypothetical intervention to reduce Black-white family income inequities on racialized differences in self-rated health (N=11,312) and obesity (N=10,547). We first intervene to increase individual Black family incomes by $11,000, creating Black-white equity in median incomes in 1995. Then, we measure social multiplier effects by additionally increasing county-level Black median household incomes by $11,000. By Wave 4, individual, direct effects models comparing Black intervention to Black control groups show no risk differences in self-rated health (RD=-0.009; 95% CI: -0.026, 0.008) or obesity (RD=0.003; 95% CI: -0.017, 0.023). Social multiplier effects models suggestively reduce Black-white inequalities in obesity by increasing obesity in white intervention versus white control groups (RD=0.050=; 95% CI: -0.011, 0.110), but exacerbate Black-white disparities in self-rated health by reducing self-rated health in Black intervention versus white control groups (RD=0.184; 95% CI: 0.018, 0.351). In this cohort, income transfers may not reduce racialized disparities in obesity and self-rated health.

Associations between historical and contemporary measures of structural racism and leukocyte telomere length: The Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND: We assessed the link between two manifestations of structural racism-historical redlining and contemporary racial residential segregation-and baseline and 10-year changes in leukocyte telomere length (LTL). METHODS: We used data on Black and Hispanic/Latinx participants from Exams I and V of the Multi-Ethnic Study of Atherosclerosis Stress Ancillary Study (N = 741, age range = 45-84 years). LTL was defined as the ratio of telomeric DNA to a single copy gene (T/S), and 10-year changes were adjusted for regression to the mean. We used 1930s Home Owners' Loan Corporation maps to assign three historical redlining grades (A&B: best/still desirable, C: declining, D: hazardous/redlined) to participants' neighborhoods (census-tracts) at baseline. The Getis-Ord Gi∗ statistic was used to evaluate census-tract level baseline residential segregation (low/moderate/high). RESULTS: In mixed-effects regression models accounting for neighborhood clustering, individual characteristics, and current neighborhood environments, those living in highly segregated Black neighborhoods had 0.08 shorter baseline LTL (95% CI: -0.13, -0.04), than those residing in the least segregated neighborhoods. We did not find a relationship between residing in segregated neighborhoods and 10-year LTL changes, and associations between residing in historically redlined neighborhoods and both baseline LTL and 10-year changes in LTL were null. Across discriminatory disinvestment trajectories examined, individuals residing in highly segregated but non-redlined neighborhoods had 0.6 shorter baseline LTL than individuals residing in non-redlined neighborhoods with low/moderate segregation (95% CI: -0.12, -0.01). CONCLUSIONS: Our results highlight the impact of racial segregation on cellular aging and underscore the need to ameliorate structural inequities within segregated neighborhoods.

The Mental Health Consequences of George Floyd's Murder in Minneapolis in Black, Latine, and White Communities.

The high-profile police murder of George Floyd is likely to have an aftermath of negative health consequences, particularly among Black people. Our study evaluates the impact of the murder of Mr. Floyd on mental health in Black, Latine, and white communities in Minneapolis, Minnesota. We constructed a panel dataset merging data from the Minnesota Hospital Association, Minnesota Department of Natural Resources, Minneapolis Police Department, and American Community Survey. First, we specify an overall and racial subgroup autoregressive interrupted time-series design to identify the impact of the murder on rates of mental health hospital discharge at the city-level. We then examine the spatial heterogeneity in the impact of the murder by specifying zip code tabulation area (ZCTA)-level panel models. We find a 0.23 per 1,000 increase in mental health conditions among Black people in the immediate post-murder period, followed by a weekly decline (-.007) in mental health diagnoses. We do not find a substantial rate increase in White or Latine residents. Further, our analyses at the ZCTA-week-level corroborate these findings, while showing that the increase for Black residents was global. These findings speak to the traumatizing effects of police violence and the short- and longer-term public health consequences for Black communities.

Disparities in maternal 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.

A Standard Measure of Structural Racism, Do We Have One? Can We Have One? A Narrative Review of Commonly Used Measures and Domains of Use.

BACKGROUND: A lack of a "gold standard" operationalized index to measure structural racism (SR) in the current literature limits the comparison of the evidence available. This study aims to synthesize the measures of SR from the current literature to identify the measures used to date, study the indicators included, and investigate its expanding domain. METHODS: A literature search of original quantitative studies in the Google Scholar and PubMed databases for articles dated January 1, 2000-July 31, 2023, was conducted with search terms: ["Institutionalized Racism" OR "Systemic Racism", OR "Structural Racism"] AND "Health" AND "United States." The studies were summarized and extracted based on the type of SR index used, the domains of SR incorporated, and the health outcomes studied. RESULTS: A total of 74 articles were included in the final review. The historical redlining score, G-statistics, index of concentration, and structural racism index were common quantifiable measures of SR. These indices capture 56 indicators across 11 significant domains to measure SR. Similarly, SR indices are being used mostly to study the impact of SR on cardiovascular diseases and other chronic health conditions, women's and maternal health-related issues, and COVID-19 outcomes. CONCLUSION: Multiple indices have been developed to capture SR, and since the COVID-19 pandemic, we have observed an increased interest in understanding health disparities through the lens of SR. With the rise in evidence on experiences of minority races related to racism, there is a high need for a standard approach to measuring SR.

Intersectionality and the Association Between State-Level Structural Racism, Binge Alcohol Consumption, and Smoking Status Among Black Americans.

BACKGROUND: Structural racism is associated with alcohol and tobacco use among Black Americans. There is a need to understand how this relationship differs within varying groups of Black Americans. This study assessed the moderating roles of age, gender, and income in the association between structural racism and binge alcohol consumption and tobacco smoking status among Black Americans. METHODS: A state-level index of structural racism was merged with data from a national probability sample of 1946 Black Americans. Hierarchical linear and logistic regression models tested associations between structural racism (measured by residential segregation, and economic, incarceration, and educational inequities) and binge alcohol use and smoking status among Black Americans by stratified by age, gender, and income. Moderating effects of age, gender, and income were tested using slope estimate comparisons. RESULTS: Results indicated statistically significant positive associations between incarceration disparities and binge drinking and smoking status among Black Americans below age 65. An inverse association was detected between education disparities and smoking status among Black Americans below age 65 and among higher-income Black Americans. Age, gender, and income were not significant moderators of these associations. CONCLUSIONS: Age, gender, and income do not moderate the association between state-level structural racism and binge alcohol or tobacco use behaviors among the current sample of Black Americans. IMPACT: Addressing structural racism may have implications for reducing participation in binge drinking and tobacco use behaviors among Black Americans, regardless of their age, gender, or income. This has implications for healthy equity and cancer prevention and control.

Proceedings of the 2024 Third Annual ASTCT-NMDP ACCESS Initiative Workshop.

The Third Annual Workshop of the American Society for Transplantation and Cellular Therapy (ASTCT) and National Marrow Donor Program (NMDP) ACCESS Initiative occurred on July 23 and 24, 2024. Content from the workshop is provided to inform the hematopoietic cell transplantation (HCT) and cellular therapy (CT) ecosystem about progress and direction of the collaborative. Highlights from the meeting are reviewed, including the inaugural Corporate Roundtable and Advocacy Day, new partnerships with non-profit organizations, and updates on projects from the Awareness, Poverty and Race and Ethnicity Inequity Committees. In addition, the Junior Faculty and Trainee Immersion Program-sponsored efforts in workforce diversity and physician advocacy are presented. Lastly, continued education was provided on patient and caregiver participation as well as community engagement. As it enters its third year, the ASTCT-NMDP ACCESS Initiative will transition from foundation building as a grass roots collaborative to intentional impact in reducing barriers and improving outcome disparities for all patients in need of HCT/CT. Enthusiasm for and participation in the ACCESS Initiative remain high. Both are needed to sustain progress in achieving its goal in enabling all patients in need to receive HCT/CT.

Spatial and spatio-temporal statistical implications for measuring structural racism: A review of three widely used residential segregation measures.

Social determinants of health are the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning and quality of life outcomes and risks - these social determinants of health often aid in explaining the racial and ethnic health inequities present in the United States (US). The root cause of these social determinants of health has been tied to structural racism, and residential segregation is one such domain of structural racism that allows for the operationalization of the geography of structural racism. This review focuses on three residential segregation measures that are often utilized to capture segregation as a function of race/ethnicity, income, and simultaneously race/ethnicity and income. Empirical findings related to the spatial and spatio-temporal heterogeneity of these residential segregation measures are presented. We also discuss some of the implications of utilizing these three residential segregation measures.

Using Social Vulnerability Indices to Predict Priority Areas for Prevention of Sudden Unexpected Infant Death in Cook County, IL: Cross-Sectional Study.

Background: The incidence of sudden unexpected infant death (SUID) in the United States has persisted at roughly the same level since the mid-2000s, despite intensive prevention efforts around safe sleep. Disparities in outcomes across racial and socioeconomic lines also persist. These disparities are reflected in the spatial distribution of cases across neighborhoods. Strategies for prevention should be targeted precisely in space and time to further reduce SUID and correct disparities. Objective: We sought to aid neighborhood-level prevention efforts by characterizing communities where SUID occurred in Cook County, IL, from 2015 to 2019 and predicting where it would occur in 2021-2025 using a semiautomated, reproducible workflow based on open-source software and data. Methods: This cross-sectional retrospective study queried geocoded medical examiner data from 2015-2019 to identify SUID cases in Cook County, IL, and aggregated them to "communities" as the unit of analysis. We compared demographic factors in communities affected by SUID versus those unaffected using Wilcoxon rank sum statistical testing. We used social vulnerability indicators from 2014 to train a negative binomial prediction model for SUID case counts in each given community for 2015-2019. We applied indicators from 2020 to the trained model to make predictions for 2021-2025. Results: Validation of our query of medical examiner data produced 325 finalized cases with a sensitivity of 95% (95% CI 93%-97%) and a specificity of 98% (95% CI 94%-100%). Case counts at the community level ranged from a minimum of 0 to a maximum of 17. A map of SUID case counts showed clusters of communities in the south and west regions of the county. All communities with the highest case counts were located within Chicago city limits. Communities affected by SUID exhibited lower median proportions of non-Hispanic White residents at 17% versus 60% (P<.001) and higher median proportions of non-Hispanic Black residents at 32% versus 3% (P<.001). Our predictive model showed moderate accuracy when assessed on the training data (Nagelkerke R2=70.2% and RMSE=17.49). It predicted Austin (17 cases), Englewood (14 cases), Auburn Gresham (12 cases), Chicago Lawn (12 cases), and South Shore (11 cases) would have the largest case counts between 2021 and 2025. Conclusions: Sharp racial and socioeconomic disparities in SUID incidence persisted within Cook County from 2015 to 2019. Our predictive model and maps identify precise regions within the county for local health departments to target for intervention. Other jurisdictions can adapt our coding workflows and data sources to predict which of their own communities will be most affected by SUID.

Structural Racism and HIV Pre-exposure Prophylaxis Use in the Nationwide US: A County-Level Analysis.

BACKGROUND: Structural racism contributes to geographical inequalities in pre-exposure prophylaxis (PrEP) coverage in the United States (US). This study aims to investigate county-level variability in PrEP utilization across diverse dimensions of structural racism. METHODS: The 2013-2021 nationwide county-level PrEP rate and PrEP-to-need ratio (PNR) data were retrieved from AIDSVu. PrEP rate was defined as the number of PrEP users per 100,000 population, and PNR was defined as the ratio of PrEP users to new HIV diagnoses per calendar year. Linear mixed effect regression was employed to identify associations of county-level structural racism (e.g., structural racism in housing and socioeconomic status) with PrEP rate and PNR on a nationwide scale of the US. RESULTS: From 2013 to 2021, the mean PrEP rate and PNR increased from 3.62 to 71.10 and from 0.39 to 10.20, respectively. Counties with more structural racism in housing were more likely to have low PrEP rates (adjusted ß = - 5.80, 95% CI [- 8.84, - 2.75]). Higher PNR was found in counties with lower structural racism in socioeconomic status (adjusted ß = - 2.64, 95% CI [- 3.68, - 1.61]). Regionally, compared to the Midwest region, counties in the West region were more likely to have higher PrEP rate (adjusted ß = 30.99, 95% CI [22.19, 39.80]), and counties in the South had lower PNR (adjusted ß = - 1.87, 95% CI [- 2.57, - 1.17]). CONCLUSIONS: County-level structural racism plays a crucial role in understanding the challenges of scaling up PrEP coverage. The findings underscore the importance of tailored strategies across different regions and provide valuable insights for future interventions to optimize PrEP implementation.

Multidimensional structural racism and estimated cancer risk from traffic-related air pollution.

BACKGROUND: Traffic-related air pollutants have been associated with a variety of adverse human health impacts, including cancers. In the United States, numerous studies have documented racial inequities in neighborhood exposures to traffic-related air pollution. Emerging evidence suggests that structural racism may influence neighborhood exposures to air pollutants. However, existing research has largely focused on residential racial segregation, one indicator of structural racism. This study developed a multidimensional measure of structural racism to examine the relationship between structural racism and estimated cancer risk from air pollutants in Georgia. METHODS: Carcinogenic air toxics data were obtained from the US Environmental Protection Agency's 2019 Air Toxics Screening Assessment and sociodemographic data from the American Community Survey. Guided by stakeholder input, county-level data on residential segregation, education, employment, incarceration, economic status, political participation, and homeownership were used to create a multidimensional county-level structural racism index. Relative risks (RRs) were estimated for associations between structural racism and elevated (top 10% in Georgia) estimated cancer risk from air toxics. RESULTS: Multilevel analyses revealed a significant association between multidimensional structural racism and exposure to carcinogenic traffic-related air pollutants. Neighborhoods in the highest quartile of structural racism exhibited an elevated cancer risk from traffic-related air pollutants (RR, 7.84; 95% CI, 5.11-12.05) compared to neighborhoods with lower levels of structural racism. CONCLUSIONS: Multidimensional structural racism was associated with estimated cancer risk from traffic-related air pollution in Georgia. Findings can inform future studies and policy interventions that address racial inequalities in exposure to traffic-related air pollution.

Associations between Structural Racism, Environmental Burden, and Cancer Rates: An Ecological Study of US Counties.

Objective: In this study, we examined associations between county-level measures of structural racism and county-level cancer incidence and mortality rates between race groups while accounting for factors associated with cancer rates and county-level measures of environmental burden. Methods: To explore this relationship, we conducted multiple linear regression analyses. Data for these analyses came from an index of county-level structural racism and publicly available data on 2015 to 2019 age-adjusted cancer rates from the US Cancer Statistics Data Visualization Tool, 2019 County Health Rankings and Roadmaps, the Environmental Protection Agency's 2006 to 2010 Environmental Quality Index, and 2015 to 2019 estimates from the US Census American Community Survey. Results: County-level structural racism was associated with higher county cancer incidence rates among Black (adjusted incidence rate: 17.4, 95% confidence interval [95% CI]: 9.3, 25.5) and Asian/Pacific Islander populations (adjusted incidence rate: 9.3, 95% CI: 1.8, 16.9) and higher mortality rates for American Indian/Alaskan Native (adjusted mortality rate [AMR]: 17.4, 95% CI: 4.2, 30.6), Black (AMR: 11.9, 95% CI: 8.9, 14.8), and Asian/Pacific Islander (AMR: 4.7, 95% CI: 1.3, 8.1) populations than White populations. Conclusion: Our findings highlight the detrimental impact of structural racism on cancer outcomes among minoritized populations. Strategies aiming to mitigate cancer disparities must embed processes to recognize and address systems, policies, laws, and norms that create and reproduce patterns of discrimination.

Examining barriers to dental, medical, mental, and vision healthcare access, attitudes towards seeking healthcare, and internalized racism among Black Americans.

Structural barriers, which impede access to healthcare, are often seen as tangible expressions of structural racism. Those who experience more structural barriers to healthcare access are likely to experience poor health. Expanding on this notion, our research integrated the Internalized Racism Framework (James, 2022) with the Structural Vulnerability Framework (Bourgois et al., 2017; Metzl and Hansen, 2014) to explore how encountering barriers to healthcare access influences healthcare seeking attitudes across four health domains: mental, medical, dental, and vision. Our study included a sample of 780 Black American adults (average age = 37.68) who were recruited to participate in an anonymous web-based cross-sectional survey. Our findings revealed that internalized racism explained the direct effect of healthcare access structural barriers on healthcare attitudes in the mental, medical, and vision health domains, but not in the dental health domain. Specifically, the experience of more structural barriers in accessing healthcare (mental, medical, and vision) correlated with heightened internalized racism, which, in turn, was associated with more negative attitudes towards seeking (mental, medical, and vision) healthcare. Notably, our results also showed variations in the frequency and types of structural barriers encountered across the four health domains, along with differences in participants' positive healthcare seeking attitudes. Our findings underscore an urgent need for targeted interventions addressing both structural and internalized racism. Removing healthcare access barriers is crucial for fostering equitable healthcare access for Black Americans. Future research should explore additional factors influencing healthcare seeking attitudes, as well as strategies that mitigate the negative effects of racism on said attitudes.

Racial and Ethnic Differences in Emotional Reactions to the Flint Water Crisis among Michigan Women in Communities Outside of Flint.

Objective: To determine whether Black women in Michigan communities outside of Flint were more likely than women in other racial and ethnic groups to report negative emotional reactions to the Flint Water Crisis, an ongoing public health disaster that has been widely attributed to anti-Black structural racism. Methods: Data were from a 2020 survey of Michigan women aged 18-45 in communities outside of Flint (N=888). We used logistic regression models to examine racial and ethnic differences in the odds of negative emotional reactions to the Flint Water Crisis. Results: Compared with Black women, White women had lower odds of feeling scared (odds ratio [OR]=0.58; 95% CI, 0.40-0.84), hopeless (OR=0.53; 95% CI, 0.38-0.74), tired (OR=0.45; 95% CI, 0.32-0.64), and numb (OR=0.52; 95% CI, 0.35-0.75) when thinking about the water crisis. There were no differences between Black and Hispanic women, whereas women of other races or ethnicities had lower odds than Black women of feeling numb (OR=0.32; 95% CI, 0.14-0.72). Conclusions: The Flint Water Crisis was a racialized stressor, with potential implications for mental health inequities among Michigan women who were not directly affected by the crisis.

When a baby is born, so is a parent: Understanding the effects of preterm birth on Black parents through the lens of the NIMHD framework.

BACKGROUND: The rate of preterm birth (PTB) is high in the United States and Black infants remain disproportionately affected, with the disparity between Black and White infant deaths greater today than it was under antebellum slavery. PURPOSE: The National Institute on Minority Health and Disparities Research Framework reflects a unique set of determinants relevant to the understanding and promotion of minority health. METHODS: We have applied this framework to better understand the effects of PTB on Black parents and the distribution of the social determinants of health, including structural determinants and root causes of inequities. DISCUSSION: This adaptation shows the intersection in maternal and infant health that shapes individuals' experiences, drives disparities and impacts perinatal outcomes in critical periods over the lifecourse. CONCLUSION: In our efforts to achieve health equity, it is imperative that we study the underlying mechanisms and recognize that policies, institutional structures, and social factors are drivers of racism.

Expanding Bystander Behavioral Approaches to Address Racial Violence in Health Research, Pedagogy, and Practice.

A bystander to racial violence is conventionally thought of as someone who witnesses an overt act of racial oppression at the interpersonal level, such as police brutality. However, racial violence in health research, pedagogy, and practice often shows up more covertly, like through epistemic injustice, deficits-based framing, and racial essentialism. We aim to expand how we think about bystanders and perpetrators of racial violence within health institutions, and how antiracism bystander behavioral approaches can be deployed to intervene against such violence. Existing public health antiracism frameworks, such as the Public Health Critical Race Praxis and the PEN-3 Cultural Model, offer valuable constructs and processes through which health practitioners, researchers, and academics can disrupt racial violence. Such antiracism frameworks are well suited to provide individuals within public health and health care with the knowledge, skills, and efficacy to intervene as engaged bystanders against racism within their contexts. To illustrate how constructs within antiracism frameworks can be applied by bystanders in various health settings, we outline case examples of antiracism bystander interventions across three scenarios. The more bystanders there are within health institutions that are equipped with antiracism tools, the more likely normative behaviors uplifting White supremacy within these institutions can be disrupted and health equity can be actualized.

Association of economic and racial segregation with restricted buprenorphine dispensing in U.S. community pharmacies.

Background: Timely and reliable dispensing of buprenorphine is critical to accessing treatment for opioid use disorder (OUD). Racial and ethnic inequities in OUD treatment access are well described, but it remains unclear if inequities persist at the point of dispensing. Methods: We analyzed data from a U.S. telephone audit that measured restricted buprenorphine dispensing in community pharmacies, defined as inability to fill a buprenorphine prescription requested by a "secret shopper." Using the Index of Concentration at the Extremes (ICE), we constructed county-level measures of racial, ethnic, economic, and racialized economic (joint racial and economic segregation) segregation. Logistic regression models evaluated the association of ICE measures and restricted buprenorphine dispensing, adjusting for county type (urban vs. rural) and pharmacy type (chain vs. independent). Results: Among 858 pharmacies surveyed in 473 counties, pharmacies in the most ethnically segregated and economically deprived counties had 2.66 times the odds (95 % CI: 1.41, 5.17) of restricting buprenorphine dispensing, compared to pharmacies in the most privileged counties after adjustment. Pharmacies in counties with high racialized economic segregation (quintile 2 and 3) also had higher odds of restricting buprenorphine dispensing (aOR 3.09 [95 % CI 1.7, 5.59]; aOR 2.11 [95 % CI 1.17, 3.98]). Similar associations were observed for economic segregation (aOR: 2.18 [95 % CI: 1.21, 3.99]), but not ethnic (0.59 [0.34, 1.05]) or racial (0.61 [0.35, 1.07]) segregation alone. Conclusions: Restricted buprenorphine dispensing was most pronounced in socially and economically disadvantaged communities, potentially exacerbating gaps in OUD treatment access. Policy interventions should target both prescribing and dispensing capacity to advance pharmacoequity.