Racial and ethnic disparities related to the Medicare Part D Medication Therapy Management Program.

Medicare's Part D Medication Therapy Management (MTM) programs serve approximately 4.5 million eligible beneficiaries. Prior research suggested that the thresholds to enter Part D MTM programs would disproportionately favor White beneficiaries compared with Black or Hispanic beneficiaries. This article summarizes those initial studies and compares the results with more recent analyses of racial and ethnic differences in MTM program enrollment, which, in general, show higher odds of MTM enrollment for minority beneficiaries compared with White beneficiaries. Disparities in the utilization of comprehensive medication review (CMR), a core MTM service, are also discussed. Although trends vary, disparities exist for various minority groups. For example, Black beneficiaries and Hispanic beneficiaries are less likely to be offered a CMR compared with White beneficiaries. Additionally, minority (Asian, Hispanic, and North American Native) beneficiaries are less likely to receive a CMR after being offered the service compared with White beneficiaries. Black, Hispanic, and Asian beneficiaries are more likely than White beneficiaries to have a longer duration between MTM enrollment and CMR offer. There is also a distinct difference in the type of pharmacist (ie, plan pharmacist, MTM vendor pharmacist, or community pharmacist) completing the CMR for certain racial and ethnic groups. For example, compared with White beneficiaries, Black beneficiaries were less likely to receive a CMR from a community pharmacist, whereas Asian beneficiaries were more likely.

Race and Ethnicity Representation in Phase 2/3 Oncology Clinical Trial Publications: A Systematic Review.

Importance: The five 1997 Office of Management and Budget races in the US include American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, and White, with Hispanic ethnicity. Despite the Affordable Care Act mandating Office of Management and Budget-based collecting and reporting standards, race and ethnicity publishing in medical journals is inconsistent, despite being necessary to achieve health equity. Objective: To quantify race and ethnicity reporting rates and calculate representation quotients (RQs) in published oncology clinical trials. Evidence Review: In this systematic review, PubMed and Embase were queried for phase 2/3 clinical trials of the 6 most common noncutaneous solid cancers, published between January 1, 2012, and December 31, 2022, in 4 high-impact journals. Trial characteristics were recorded. The RQs for each race and ethnicity were calculated by dividing the percent of representation in each clinical trial publication by the percent of year-matched, site-specific incident cancers in the US, compared with Kruskal-Wallis tests with Bonferroni correction (BC). Reporting was compared between journal publications and ClinicalTrials.gov. Findings: Among 1202 publications evaluated, 364 met inclusion criteria: 16 JAMA, 241 Journal of Clinical Oncology, 19 Lancet, and 88 New England Journal of Medicine. Publications included 268 209 patients (171 132 women [64%]), with a median of 356 (IQR, 131-800) patients per publication. Reported race and ethnicity included American Indian or Alaska Native in 52 (14%) publications, Asian in 196 (54%), Black or African American in 215 (59%), Hispanic in 67 (18%), Native Hawaiian or Other Pacific Islander in 28 (8%), and White in 254 (70%). Median RQ varied across race (P < .001 BC), with 1.04 (IQR, 0.09-4.77) for Asian, 0.98 (IQR, 0.86-1.06) for White, 0.42 (IQR, 0.12-0.75) for Black or African American, and 0.00 (IQR, 0.00-0.00) for both American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander patients. Sensitivity analyses showed similar findings on subset analysis for US-only clinical trials. There was significantly less race and ethnicity reporting in the clinical trial publications compared with ClinicalTrials.gov documentation for American Indian or Alaska Native (14% vs 45%; P < .001 per McNemar χ2 test with continuity correction [MC]) and Native Hawaiian or Other Pacific Islander (8% vs 43%; P < .001 MC). Conclusions and Relevance: While most phase 2/3 oncology clinical trials published in high-impact journals report race and ethnicity, most did not report American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander racial categories. Our findings support a call to action for consistent journal policies and transparent race and ethnicity reporting, in alignment with Affordable Care Act-concordant race and ethnicity federal reporting requirements.

Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in Pennsylvania.

The incidence of low birthweight is a common measure of public health due to the increased risk of complications associated with infants having low and very low birthweights. Moreover, many factors that increase the risk of an infant having a low birthweight can be linked to the mother's socioeconomic status, leading to large racial/ethnic disparities in its incidence. Our objective is thus to analyze the incidence of low and very low birthweight in Pennsylvania counties by race/ethnicity. Due to the small number of births in many Pennsylvania counties when stratified by race/ethnicity, our methods must walk a fine line: While we wish to leverage spatial structure to improve the precision of our estimates, we also wish to avoid oversmoothing the data, which can yield spurious conclusions. As such, we develop a framework by which we can measure (and control) the informativeness of our spatial model. To analyze the data, we first model the Pennsylvania birth data using the conditional autoregressive model to demonstrate the extent to which it can lead to oversmoothing. We then reanalyze the data using our proposed framework and highlight its ability to detect (or not detect) evidence of racial/ethnic disparities in the incidence of low birthweight.

Diversity, Equity, and Inclusion in Urolithiasis Clinical Trials: Representative Enrollment by Race, Ethnicity, and Sex.

INTRODUCTION: We sought to assess whether participant enrollment is appropriately representative of the overall urolithiasis population in published urolithiasis clinical trials. METHODS: PubMed was queried for urolithiasis US clinical trials published from 2000 to 2022. Trials were evaluated for reporting patient race/ethnicity and sex data. These were then compared to the stone prevalence reported by the National Health and Nutrition Examination Survey from 2015 to 2018. We calculated a representation quotient (RQ) to describe enrollment of patients and then stratified by geographic location, study type, and funding source. RESULTS: Of the 180 urolithiasis trials performed in the US, we identified 40 trials (22%) reporting race or ethnicity and 104 trials (58%) reporting sex. Male and female participants are well represented (RQ 0.97 and 1.02, respectively). Overall, the RQ of Black, Asian American and Pacific Islander, White, Hispanic, and mixed/other participants is 1.84, 1.06, 1.04, 0.46, and 0.34, respectively. Trials completed in the Western Section and multi-institutional trials have the most proportional enrollment, while trials in the South Central and Southeastern Sections have underrepresentation of mixed/other and Hispanic patients. Enrollment was similar among all trial subtypes. Government- and industry-funded trials had more diverse enrollment than academic-funded trials. CONCLUSIONS: Only 1 in 4 published US urolithiasis trials report race or ethnicity enrollment. Mixed race and Hispanic participants are consistently underrepresented, while Black participants are overrepresented. Government- and industry-sponsored multi-institutional trials have the most proportional representation. Investigators should prioritize inclusive recruitment and improve reporting practices to accurately reflect the diversity of the urolithiasis population.

Gender, racial, ethnic, and Fitzpatrick skin type representation in Acanthosis nigricans clinical trials.

Acanthosis nigricans (AN) is characterized by dark, velvety patches and thin plaques primarily in the body folds. AN is more prevalent in skin of color populations, including Black/African American, Native American, and Hispanic patients. As the U.S. population becomes increasingly diverse, the need for inclusive dermatologic research becomes more pressing. Given the increased prevalence of AN in skin of color patients, there is a need to evaluate representation in AN clinical trials. This study aims to uncover gender, race, ethnicity, and Fitzpatrick skin type (FST) representation in AN clinical trials. A systematic literature search was performed across PubMed, Embase, and Cochrane databases to identify participant characteristics in clinical trials focused on AN treatment. Our review yielded 21 clinical trials, totaling 575 participants, with an identified predominance of female participants (69.0%) and a surprising absence of race or ethnicity data. Out of the 11 studies that included FST data, 1.2% of participants were type II, 20.6% were type III, 50.0% were type IV, and 28.2% were type V. None of the participants were FST I or VI. Herein, we highlight a predominate inclusion of female and FST III-V patients in AN clinical trials, the populations most impacted by this condition. We also highlight the need for improved race and ethnicity reporting and the importance of including all FSTs in clinical studies. Addressing this gap is critical for developing safe, efficacious, patient-centered, and equitable treatments for all AN patients. Future research should prioritize comprehensive inclusion of race, ethnicity, and the full spectrum of FSTs.

Trends in prevalence of arthritis by race among adults in the United States, 2011-2018.

BACKGROUND: There is currently a lack of comprehensive prevalence information on arthritis and its various classifications among adults in the U.S., particularly given the notable absence of detailed data regarding the Asian population. We examined the trends in the prevalence of arthritis, including osteoarthritis (OA), rheumatoid arthritis (RA), psoriatic arthritis (PsA), and other types of arthritis, among U.S. adults by race between 2011 and 2018. METHODS: We analyzed data from the National Health and Nutrition Examination Survey (NHANES), spanning from 2011 to 2018. Our study focused on a nationally representative sample of U.S. adults aged 20 and older. Participants who answered "y es" to the research question "Doctors ever said you had arthritis?" were classified as having arthritis. Further classification into specific diseases was based on responses to the question "Which type of arthritis was it?" with options including "OA or degenerative arthritis, " "RA, " "PsA, " or "Other. " RESULTS: We analyzed 22,566 participants from NHANES (2011-2018), averaging 44.8 years, including 10,927 males. The overall arthritis prevalence rose significantly from 22.98% (95% CI: 21.47-24.55%) in 2011-12 to 27.95% (95% CI: 26.20-29.76%) in 2017-18 (P for trend < 0.001). OA increased from 12.02% (95% CI: 10.82-13.35%) in 2011 to 14.93% (95% CI: 13.47-16.51%) in 2018 (P for trend < 0.001). RA and PsA remained stable (P for trend = 0.220 and 0.849, respectively), while other arthritis rose from 2.03% (95% CI: 1.54-2.67%) in 2011-12 to 3.14% (95% CI: 2.56-3.86%) in 2017-18 (P for trend = 0.001). In Whites, Asians, and other races , arthritis and RA prevalence increased significantly (P for trend < 0.05). OA and other arthritis rose in Whites and other races (P for trend < 0.05), but no significant change occurred in the black population. The prevalence of PsA remained stable across all racial groups, with no statistically significant changes. CONCLUSIONS: In this nationally representative U.S. adult survey spanning 2011 to 2018, we identified a rising prevalence trend in arthritis, OA, and other arthritis, with notable variations among different racial groups.

Prevalence of Cardiovascular-Kidney-Metabolic Syndrome Stages in US Adults, 2011-2020.

This cross-sectional study assesses the prevalence and temporal evolution of cardiovascular-kidney-metabolic syndrome stages.

Trends in Suicidality and Bullying among New York City Adolescents across Race and Sexual Identity: 2009-2019.

Despite evidence showing rising suicidality among lesbian, gay, and bisexual (LGB) and Black adolescents, separately, there is scant research on suicide risk trajectories among youth groups across both racial and sexual identities. Thus, we examined trajectories of self-reported suicidal ideation and attempt and their associations with bullying among New York City-based adolescents. We analyzed 2009-2019 NYC Youth Risk Behavior Survey data. We ran weighted descriptive and logistic regression analyses to test for trends in dichotomous suicidal ideation, suicide attempt, bullying at school, and e-bullying variables among students across both race/ethnicity and sexual identity. We assessed associations between suicidality trends and bullying with logistic regressions. Models controlled for age and sex. Suicidal ideation and attempt were 2 and 5 times more likely among LGB than heterosexual participants, respectively. Bullying at school and e-bullying were 2 times more likely among LGB than heterosexual participants. Black LGB participants were the only LGB group for which both suicidal ideation (AOR = 1.04, SE = .003, p < .001) and attempt (AOR = 1.04, SE = .004, p < .001) increased over time. Both increased at accelerating rates. Conversely, White LGB participants were the only LGB group for which both suicidal ideation (AOR = 0.98, SE = .006, p < .001) and attempt (AOR = 0.92, SE = .008, p < .001) decreased over time. These changes occurred in parallel with significant bullying increases for Black and Latina/o/x LGB adolescents and significant bullying decreases for White LGB adolescents. Bullying was positively associated with suicidal ideation and attempt for all adolescents. Findings suggest resources aimed at curbing rising adolescent suicide should be focused on Black LGB youth.

The interrelationship between obesity and race in breast cancer prognosis: a prospective cohort study.

BACKGROUND: Obesity is associated with an increased breast cancer risk in postmenopausal women and may contribute to worse outcomes. Black women experience higher obesity and breast cancer mortality rates than non-Black women. We examined associations between race, obesity, and clinical tumor stage with breast cancer prognosis. METHODS: We conducted a prospective cohort study in 1,110 breast cancer patients, using univariable and multivariable Cox regression analyses to evaluate the effects of obesity, race/ethnicity, and clinical tumor stage on progression-free and overall survival (PFS and OS). RESULTS: 22% of participants were Black, 64% were Hispanic White, and 14% were non-Hispanic White or another race. 39% of participants were obese (body mass index [BMI] ≥ 30 kg/m2). In univariable analyses, tumor stage III-IV was associated with worse PFS and OS compared to tumor stage 0-II (hazard ratio [HR] = 4.68, 95% confidence interval [CI] = 3.52-6.22 for PFS and HR = 5.92, 95% CI = 4.00-8.77 for OS). Multivariable analysis revealed an association between Black race and worse PFS in obese (HR = 2.19, 95% CI = 1.06-4.51) and non-obese (HR = 2.11, 95% CI = 1.05-4.21) women with tumors staged 0-II. Obesity alone was not associated with worse PFS or OS. CONCLUSIONS: Results suggest a complex interrelationship between obesity and race in breast cancer prognosis. The association between the Black race and worse PFS in tumor stages 0-II underscores the importance of early intervention in this group. Future studies are warranted to evaluate whether alternative measures of body composition and biomarkers are better prognostic indicators than BMI among Black breast cancer survivors.

Why location matters: associations between county-level characteristics and availability of National Cancer Oncology Research Program and National Cancer Institute sites.

BACKGROUND: The majority of patients with cancer seek care at community oncology sites; however, most clinical trials are available at National Cancer Institute (NCI)-designated sites. Although the NCI National Cancer Oncology Research Program (NCORP) was designed to address this problem, little is known about the county-level characteristics of NCORP site locations. METHODS: This cross-sectional analysis determined the association between availability of NCORP or NCI sites and county-level characteristic theme percentile scores from the Center for Disease Control and Prevention's Social Vulnerability Index themes. Health Resources and Services Administration's Area Health Resource Files were used to determine contiguous counties. We estimated risk ratios and 95% confidence intervals (CIs) using modified Poisson regression models to evaluate the association between county-level characteristics and site availability within singular and singular and contiguous counties. RESULTS: Of 3141 included counties, 14% had an NCORP, 2% had an NCI, and 1% had both sites. Among singular counties, for a standard deviation increase in the racial and ethnic theme score, there was a 22% higher likelihood of NCORP site availability (95% CI = 1.10 to 1.36); for a standard deviation increase in the socioeconomic status theme score, there was a 24% lower likelihood of NCORP site availability (95% CI = 0.67 to 0.87). Associations were of smaller magnitude when including contiguous counties. NCI sites were located in more vulnerable counties. CONCLUSIONS: NCORP sites were more often in racially diverse counties and less often in socioeconomically vulnerable counties. Research is needed to understand how clinical trial representation will increase if NCORP sites strategically increase their locations in more vulnerable counties.

Racial and Ethnic Disparities in All-Cause and Cause-Specific Mortality Among US Youth.

Importance: Mortality rates in US youth have increased in recent years. An understanding of the role of racial and ethnic disparities in these increases is lacking. Objective: To compare all-cause and cause-specific mortality trends and rates among youth with Hispanic ethnicity and non-Hispanic American Indian or Alaska Native, Asian or Pacific Islander, Black, and White race. Design, Setting, and Participants: This cross-sectional study conducted temporal analysis (1999-2020) and comparison of aggregate mortality rates (2016-2020) for youth aged 1 to 19 years using US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Data were analyzed from June 30, 2023, to January 17, 2024. Main Outcomes and Measures: Pooled, all-cause, and cause-specific mortality rates per 100 000 youth (hereinafter, per 100 000) for leading underlying causes of death were compared. Injuries were classified by mechanism and intent. Results: Between 1999 and 2020, there were 491 680 deaths among US youth, including 8894 (1.8%) American Indian or Alaska Native, 14 507 (3.0%) Asian or Pacific Islander, 110 154 (22.4%) Black, 89 251 (18.2%) Hispanic, and 267 452 (54.4%) White youth. Between 2016 and 2020, pooled all-cause mortality rates were 48.79 per 100 000 (95% CI, 46.58-51.00) in American Indian or Alaska Native youth, 15.25 per 100 000 (95% CI, 14.75-15.76) in Asian or Pacific Islander youth, 42.33 per 100 000 (95% CI, 41.81-42.86) in Black youth, 21.48 per 100 000 (95% CI, 21.19-21.77) in Hispanic youth, and 24.07 per 100 000 (95% CI, 23.86-24.28) in White youth. All-cause mortality ratios compared with White youth were 2.03 (95% CI, 1.93-2.12) among American Indian or Alaska Native youth, 0.63 (95% CI, 0.61-0.66) among Asian or Pacific Islander youth, 1.76 (95% CI, 1.73-1.79) among Black youth, and 0.89 (95% CI, 0.88-0.91) among Hispanic youth. From 2016 to 2020, the homicide rate in Black youth was 12.81 (95% CI, 12.52-13.10) per 100 000, which was 10.20 (95% CI, 9.75-10.66) times that of White youth. The suicide rate for American Indian or Alaska Native youth was 11.37 (95% CI, 10.30-12.43) per 100 000, which was 2.60 (95% CI, 2.35-2.86) times that of White youth. The firearm mortality rate for Black youth was 12.88 (95% CI, 12.59-13.17) per 100 000, which was 4.14 (95% CI, 4.00-4.28) times that of White youth. American Indian or Alaska Native youth had a firearm mortality rate of 6.67 (95% CI, 5.85-7.49) per 100 000, which was 2.14 (95% CI, 1.88- 2.43) times that of White youth. Black youth had an asthma mortality rate of 1.10 (95% CI, 1.01-1.18) per 100 000, which was 7.80 (95% CI, 6.78-8.99) times that of White youth. Conclusions and Relevance: In this study, racial and ethnic disparities were observed for almost all leading causes of injury and disease that were associated with recent increases in youth mortality rates. Addressing the increasing disparities affecting American Indian or Alaska Native and Black youth will require efforts to prevent homicide and suicide, especially those events involving firearms.

Clinicians' perspectives on race-specific guidelines for hypertensive treatment.

Despite the general consensus that there is no biological basis to race, racial categorization is still used by clinicians to guide diagnosis and treatment plans for certain diseases. In medicine, race is commonly used as a rough proxy for unmeasured social, environmental, and genetic factors. The American College of Cardiology's Eighth Joint National Committee's (JNC 8) guidelines for the treatment of hypertension provide race-specific medication recommendations for Black versus non-Black patients, without strong evidence for race-specific physiological differences in drug response. Clinicians practicing family or geriatric medicine (n = 21) were shown a video of a mock hypertensive patient with genetic ancestry test results that could be viewed as discordant with their phenotype and self-identified race. After viewing the videos, we conducted in-depth interviews to examine how clinicians value and prioritize different cues about race -- namely genetic ancestry data, phenotypic appearance, and self-identified racial classifications - when making treatment decisions in the context of race-specific guidelines, particularly in situations when patients claim mixed-race or complex racial identities. Results indicate that clinicians inconsistently follow the race-specific guidelines for patients whose genetic ancestry test results do not match neatly with their self-identified race or phenotypic features. However, many clinicians also emphasized the importance of clinical experience, side effects, and other factors in their decision making. Clinicians' definitions of race, categorization of the patient's race, and prioritization of racial cues greatly varied. The existence of the race-specific guidelines clearly influences treatment decisions, even as clinicians' express uncertainty about how to incorporate consideration of a patient's genetic ancestry. In light of widespread debate about removal of race from medical diagnostics, researchers should revisit the clinical justification for maintaining these race-specific guidelines. Based on our findings and prior studies indicating a lack of convincing evidence for biological differences by race in medication response, we suggest removing race from the JNC 8 guidelines to avoid risk of perpetuating or exacerbating health disparities in hypertension.

Do the benefits of homeownership on mental health vary by race and poverty status? An application of doubly robust estimation for causal inference.

While empirical studies have observed that homeownership is associated with improved mental health conditions, research indicates that this relationship might vary by race. Moreover, such a White-Black disparity in the impacts of homeownership on mental health could be complexed by poverty status, as maintaining one's homeownership could be a financial burden for people living in poverty status, defined by the US official poverty threshold. We add to the existing literature by analyzing the impacts of homeownership on psychological distress, simultaneously disaggregating by race and poverty status using survey data from the Panel Study on Income Dynamics from the 2017 and 2019 waves (N = 7059). Propensity score weighting and doubly robust estimation are applied to estimate causal inference for the impact of 2017 homeownership on 2019 psychological distress using negative binomial models. First, we found the impacts of homeownership on reducing psychological distress are significant for White Americans, not for Black Americans. Second, we found such a White-Black disparity is only observable for populations not living in poverty. On the other hand, for populations living in poverty, homeownership no longer lowers psychological distress for either race. Findings suggest that financial support and mental health support are needy to address inequality in the impacts of homeownership on mental health, which could simultaneously vary by poverty status and race. Implications are discussed.

Forecasting the 20-Year Incidence of Dementia by Socioeconomic Status, Race/Ethnicity, and Region Based on Mid-Life Risk Factors in a U.S. Nationally Representative Sample.

Background: Alzheimer's disease and related dementias (ADRD) incidence varies based on demographics, but mid-life risk factor contribution to this variability requires more research. Objective: The purpose of this study is to forecast the 20-year incidence of dementia in the U.S. overall and stratified by race/ethnicity, socioeconomic status (SES), and U.S. geographic region given prior mid-life risk factor prevalence and to examine the extent to which risk factor differences 20 years ago may explain current SES, race/ethnicity, or regional disparities in dementia incidence. Methods: We applied the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) prediction model to the 2006 wave of the Health and Retirement Study (HRS) in participants aged 45 to 64 to estimate the 20-year risk of incident ADRD. Results: The 20-year risk of dementia among middle-aged Americans was 3.3% (95% CI: 3.2%, 3.4%). Dementia incidence was forecast to be 1.51 (95% CI: 1.32, 1.71) and 1.27 (95% CI: 1.14, 1.44) times that in Hispanic and Non-Hispanic Black individuals respectively compared statistically to Non-Hispanic White individuals given mid-life risk factors. There was a progressive increase in dementia risk from the lowest versus highest SES quintile. For geographic region, dementia incidence was forecast to be 1.17 (95% CI: 1.06, 1.30) and 1.27 (95% CI: 1.14, 1.43) times that in Midwestern and Southern individuals respectively compared statistically to Western individuals. Conclusions: Some disparities in dementia incidence could be explained by differences in mid-life risk factors and may point toward policy interventions designed to lessen the ADRD disease burden through early prevention.

Racial-ethnic differences in liver transplant waitlist outcomes in patients with hepatocellular carcinoma before and after recent changes to allocation policy.

BACKGROUND: In May 2019, liver transplant (LT) allocation policy changed to limit MELD exception points for hepatocellular carcinoma (HCC) to median MELD at transplant minus three (MMaT-3). We evaluated this policy's impact on waitlist outcomes for HCC candidates, by race and ethnicity, hypothesizing that the introduction of the MMaT-3 reduced inequities in waitlist outcomes. METHODS: Retrospective cohort study of the Scientific Registry for Transplant Recipients, including all adult LT candidates (N = 10 751) who received HCC exception points from May 17, 2017 to May 18, 2019 (pre-policy; N = 6627) to May 19, 2019 to March 1, 2021 (post-policy; N = 4124). We compared incidence of LT and waitlist removal for death or becoming too sick pre- and post-policy for non-Hispanic White, non-Hispanic Black, Hispanic/Latinx, and Asian patients using competing risk regression adjusted for candidate characteristics. RESULTS: One-year cumulative incidence of LT decreased significantly pre-/post-policy among White (77.4% vs. 64.5%; p < .01) and Black (76.2% vs. 63.1%; p < .01) candidates only, while a 1-year incidence of death/non-LT waitlist removal decreased significantly only among Hispanics (13.4% vs. 7.5%; p < .01). After covariate adjustment, the effect of the policy change was a significantly decreased incidence of LT for White (SHR: .63 compared to pre-policy; p < .001), Black (SHR: .62; p < .001), and Asian (SHR: .68; p = .002), but no change for Hispanic patients. Only Hispanic patients had a significant decrease in death/waitlist removal after the policy change (SHR:  .69; p = .04). Compared to White patients in the pre-policy era, Hispanic (SHR:  .88, p < .007) and Asian candidates (SHR:  .72; p < .001) had lower unadjusted incidence of LT. This disparity was mitigated in the post-policy era where Hispanic patients had higher likelihood of LT than Whites (SHR: 1.22; p = .002). For the outcome of death/non-LT waitlist removal, the only significant difference was a 42% lower incidence of waitlist removal for Asian compared to White patients in the post-policy era (SHR:  .58; p = .03). CONCLUSION: Among LT recipients with HCC, racial/ethnic subpopulations were differentially affected by the MMAT-3 policy, resulting in a post-policy reduction of some of the previous disparities.

Piloting a Measure of Segregation at the Census Tract Level: Associations with Place and Racial/Ethnic Disparities in Life Expectancy.

This study considers residential segregation as a critical driver of racial/ethnic health disparities and introduces a proxy measure of segregation that estimates the degree of segregation at the census tract level with a metric capturing the overrepresentation of a racialized/ethnic group in a census tract in relation to that group's representation at the city level. Using Dallas, Texas as a pilot city, the measure is used to investigate mean life expectancy at birth for relatively overrepresented Hispanic, non-Hispanic white, non-Hispanic Black, and Asian census tracts and examine for significant differences between mean life expectancy in relatively overrepresented census tracts and that group's mean life expectancy at the state level. Multivariable linear regression analysis was utilized to assess how segregation measured at the census tract level associates with life expectancy across different racialized/ethnic groups, controlling for socioeconomic disparities. This study aimed to expose the need to consider the possibility of neighborhood mechanisms beyond socioeconomic characteristics as an important determinant of health and draw attention to the importance of critically engaging the experience of place in examinations of racial and ethnic health disparities. Multivariable linear regression modeling resulted in significant findings for non-Hispanic Black, non-Hispanic white, and Asian groups, indicating increased census tract-level life expectancy for Black and white residents in highly segregated census tracts and decreased life expectancy for residents of tracts in which the Asian community is overrepresented when compared to state means. Unadjusted models demonstrated socioeconomic inequities between first and fourth quartile census tracts and pointed to the importance of mixed methods in health disparities research and the importance of including the voice of community members to account for places of daily lived experience and people's relationships with them.

Racial Disparities in Cardiovascular and Cerebrovascular Adverse Events in Patients with Non-Hodgkin Lymphoma: A Nationwide Analysis.

Background and Objectives: Non-Hodgkin lymphoma (NHL) has the sixth-highest malignancy-related mortality in the United States (US). However, inequalities exist in access to advanced care in specific patient populations. We aim to study the racial disparities in major adverse cardiovascular and cerebrovascular events (MACCEs) in NHL patients. Materials and Methods: Using ICD-10 codes, patients with NHL were identified from the US National Inpatient Sample 2016-2019 database. Baseline characteristics, comorbidities, and MACCE outcomes were studied, and results were stratified based on the patient's race. Results: Of the 777,740 patients with a diagnosis of NHL, 74.22% (577,215) were White, 9.15% (71,180) were Black, 9.39% (73,000) were Hispanic, 3.33% (25,935) were Asian/Pacific Islander, 0.36% (2855) were Native American, and 3.54% (27,555) belonged to other races. When compared to White patients, all-cause mortality (ACM) was significantly higher in Black patients (aOR 1.27, 95% CI 1.17-1.38, p < 0.001) and in Asian/Pacific Islander patients (aOR 1.27, 95% CI 1.12-1.45, p < 0.001). Sudden cardiac death was found to have a higher aOR in all racial sub-groups as compared to White patients; however, it was statistically significant in Black patients only (aOR 1.81, 95% CI 1.52-2.16, p < 0.001). Atrial fibrillation (AF) risk was significantly lower in patients who were Black, Hispanic, and of other races compared to White patients. Acute myocardial infarction (AMI) was noted to have a statistically significantly lower aOR in Black patients (0.70, 95% CI 0.60-0.81, p < 0.001), Hispanic patients (0.69, 95% CI 0.59-0.80, p < 0.001), and patients of other races (0.57, 95% CI 0.43-0.75, p < 0.001) as compared to White patients. Conclusions: Racial disparities are found in MACCEs among NHL patients, which is likely multifactorial, highlighting the need for healthcare strategies stratified by race to mitigate the increased risk of MACCEs. Further research involving possible epigenomic influences and social determinants of health contributing to poorer outcomes in Black and Asian/Pacific Islander patients with NHL is imperative.