Search Results (729)

Background: Health equity can only be achieved when every individual has access to quality healthcare without fear of being discriminated against. This study analyzed the sociodemographic characteristics associated with self-reported racial discrimination when receiving medical care in the United States. Methods: This quantitative cross-sectional study utilized the 2022 National Trends Survey 6. We performed a logistic regression analysis using 6102 survey responses from study participants who answered the question about perceived discrimination. Results: Older adults aged 75 years and above had significantly lower odds of reporting perceived discrimination when receiving medical care compared to those aged 18–34 years (AOR = 0.24; 95% CI: 0.10–0.58). The odds of reporting perceived discrimination were significantly higher among non-Hispanic Blacks (AOR = 7.30; 95% CI: 4.48–11.88), Hispanics (AOR = 3.56; 95% CI: 2.45–5.17), non-Hispanic Asians (AOR = 5.95; 95% CI: 2.25–15.73), and individuals identifying as non-Hispanic Other (AOR = 10.91; 95% CI: 5.42–21.98), compared to non-Hispanic Whites. Compared to individuals from households earning less than USD 20,000, the odds of reporting perceived discrimination when receiving medical care were significantly lower among individuals from households earning between USD 50,000 and <USD 75,000 (AOR = 0.42; 95% CI: 0.23–0.78) and those earning USD 75,000 or more (AOR = 0.43; 95% CI: 0.22–0.83). Conclusions: Despite having a multicultural and ethnically diverse population, racial discrimination persists in the United States and has become a barrier to achieving health equity. Health organizations should implement policies that ensure health workers attend mandatory anti-racism training. Full article

This study documents Black Wisconsinites’ birthing experiences and their proposed solutions to improve Black birthing people’s trust in healthcare. Between 2019 and 2022, we conducted semi-structured, longitudinal interviews (both individual and focus group interviews) with those enrolled in a local perinatal support group program for Black birthing people (N = 25), asking about their pregnancy, birthing, and postpartum experiences and their ideas for building trust in healthcare. Using the Daughtering Method and Braun and Clarke’s method of reflexive thematic analysis, we coded the interview data and then iteratively collated the codes into themes and subthemes. Participants described experiencing medical racism, including healthcare trauma and provider bias, during pregnancy and delivery. They drew connections between those experiences and the distrust they felt toward healthcare providers and the healthcare system. They provided actionable strategies that individual providers and the healthcare system can take to build the trust of Black birthing people: employ more Black providers, listen to Black birthing people, exhibit cultural humility, engage in shared decision-making, build personal connections with patients, and spend more time with patients. This study connects Black birthing people’s experiences of medical racism to feelings of medical distrust and provides community-identified actionable suggestions to build trust and shape how we combat racial disparities in healthcare provision and health outcomes. Full article

Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disorder with significant racial and ethnic disparities in prevalence, disease severity, and outcomes. Cardiovascular complications, including pericarditis, myocarditis, valvular disease, and conduction abnormalities, contribute to increased morbidity and mortality in SLE patients. This study examines racial and ethnic disparities in cardiovascular outcomes among hospitalized SLE patients in the United States. Methods: This retrospective study utilized the National Inpatient Sample (NIS) database from 2016 to 2021 to analyze hospitalizations of adult patients (≥18 years) with a primary or secondary diagnosis of SLE. Patients were stratified into racial/ethnic groups: White, Black, Hispanic, Asian, Native American, and Other. Primary outcomes include major adverse cardiovascular events (MACEs), which are a composite of in-hospital mortality, myocardial infarction (MI), sudden cardiac death, and other SLE-related outcomes including cardiac, pulmonary, and renal involvement. Statistical analyses included multivariable logistic regression models adjusted for demographic, socioeconomic, and hospital-related factors to assess racial disparities. Results: The study included 514,750 White, 321,395 Black, and 146,600 Hispanic patients, with smaller proportions of Asian, Native American, and Other racial groups. Black patients had significantly higher odds of in-hospital mortality (OR = 1.17, 95% CI = 1.08–1.26, p < 0.001) and sudden cardiac death (OR = 1.64, 95% CI = 1.46–1.85, p < 0.001) compared to White patients. Asian patients also exhibited increased mortality risk (OR = 1.37, 95% CI = 1.14–1.63, p = 0.001) as compared to Whites. Conversely, Black (OR = 0.90, 95% CI = 0.85–0.96, p = 0.01) and Hispanic (OR = 0.87, 95% CI = 0.80–0.96, p = 0.03) patients had lower odds of MI. Racial disparities in access to care, socioeconomic status, and comorbidity burden may contribute to these differences. Conclusion: Significant racial and ethnic disparities exist in cardiovascular outcomes among hospitalized SLE patients. Black and Asian individuals face higher in-hospital all-causes mortality and sudden cardiac death risks, while Black and Hispanic patients exhibit lower MI rates. Addressing social determinants of health, improving access to specialized care, and implementing targeted interventions may reduce disparities and improve outcomes in minority populations with SLE. Full article

Prostate Cancer (PCa) is the most commonly diagnosed cancer and the second leading cause of cancer death among men. In Louisiana (LA), Black men are disproportionately diagnosed at later stages compared to White men. This study explores environmental risk factors as potential intermediate variables linking race to cancer diagnosis stage. The Louisiana Tumor Registry data included 24,647 male patients diagnosed with PCa in LA between 2010 and 2018. Among them, 15,875 (64.40%) were Caucasian American (CA) and 8772 (35.59%) African American (AA). Mediation analysis using multiple additive regression trees (MART) identified possible intermediate variables that potentially explain the observed disparity. The study found that individual characteristics and environmental factors jointly explained 84% (95% CI: 44.1%, 94.6%) and 18.6% (95% CI: 7.3%, 53.7%) of the observed racial disparity in PCa stage at diagnosis, respectively. Individual factors included BMI (35.9%), marital status (28.5%), CDI (8.2%), female-headed households (2.3%), comorbidity (3.9%), and insurance status (6.3%). Environmental contributors included cancer risk due to air toxicity exposure (7.2%), asthma prevalence (6.6%), acetaldehyde levels (2.1%), railroad proximity (2.1%), walkability (0.3%), and ozone level (−0.1%). Environmental factors jointly played a significant role in the observed racial disparity. The factors such as air toxicity, acetaldehyde levels, and asthma prevalence highlight the need to address industrial pollutants to reduce the differences. Full article

In the U.S. public school system, White middle-class female teacher workforces have dominantly served an increasing number of students of color. While the racial interplay between teachers and students has offered insightful implications for continuing disparities in student discipline, little research has been done to link the racial match of the teaching force to their served communities. This study examines how the ethnoracial congruence between teachers and populations in their school district moderates racial gaps in in-school suspension rates between White and non-White students in Tennessee. The research demonstrates that when teachers serve communities of the same race, their schools are less likely to show a substantial gap in in-school suspensions between White students and students of color. Full article

Purpose: This exploratory retrospective analysis examined racial disparities in fall-related injuries among Black and White breast cancer survivors who received chemotherapy, focusing on the risks associated with specific chemotherapy regimens. Methods: Using real-world data from the TriNetX research platform, we analyzed a cohort of 3223 Stage I–III breast cancer survivors with complete data on race, chemotherapy exposure, and fall-related injuries. The final sample included only Black and White patients treated with chemotherapy between 1 January 2019 and 31 December 2023. Fall events within six months post-chemotherapy were analyzed. Logistic regression models evaluated associations between chemotherapy type and fall risk by race. Results: Black breast cancer survivors experienced a significantly higher rate of fall-related injuries (14.7%) compared to White survivors (10.0%) (p < 0.001). The risk was especially elevated among Black patients receiving Cyclophosphamide, Docetaxel, and Carboplatin. Conclusion: This study highlights racial differences in chemotherapy-associated fall risk. While the findings are observational and limited by data availability, they underscore the need for more inclusive survivorship care and further investigation using detailed clinical and contextual variables. Real-world platforms like TriNetX can help identify early signals of disparities that merit prospective study. Full article

Background: Cholangiocarcinoma, malignancies arising from the intrahepatic and extrahepatic bile ducts, has increased in incidence in the United States over the past few decades. The reported incidence of cholangiocarcinomas is high, particularly in specific racial groups such as Asian and Pacific Islander patients. Race also significantly impacts disparities in healthcare utilization and clinical outcomes. Our study focused on the impact of race on admission, clinical outcomes, and disposition of cholangiocarcinoma. Methods: We performed a retrospective analysis of cholangiocarcinoma-related hospital admissions, using the National Inpatient Sample for the year 2022. Patients were stratified according to race into the following groups: White, African American, Hispanic, Asian or Pacific Islander, Native American, and Other. The data analysis was performed using STATA/BE version 18.5. Univariable and multivariable logistic regression models were applied to evaluate the relationship between race and clinical and healthcare utilization outcomes. Results: In 2022, 7479 hospitalizations were recorded for cholangiocarcinoma in the United States. Among these, 65.99% were White, 13.27% Hispanic, and 10.13% African American. There was a statistically significant difference in gender distribution across racial groups (p < 0.001), with males comprising the majority in all groups. Males outnumbered females in all racial groups except among the Hispanic group. Significant racial disparities in mortality were observed, with White patients showing a mortality rate of 6.69%, compared to higher rates among African American (9.76%), Native American (8.51%), and Asian or Pacific Islander (8.09%) patients, while Hispanic (5.04%) and Other (5.88%) groups had lower rates (p < 0.001). Conclusions: The study underscores the racial disparities among cholangiocarcinoma hospitalizations, with African American, Native American, and Asian patients facing disproportionately higher mortality and poorer in-hospital outcomes compared to White patients. This analysis highlights the healthcare strategies and policy reforms to promote equitable treatment by mitigating these disparities and to improve cholangiocarcinoma outcomes. Full article

The Affordable Care Act (ACA), implemented in 2010, aimed to expand healthcare access, reduce costs, and address long-standing disparities in the U.S. healthcare system, particularly among racial and ethnic minorities. This paper reviews the ACA’s impact on healthcare utilization for these populations, with a focus on insurance coverage, preventive services, and health outcomes. While Medicaid expansion significantly reduced uninsured rates and increased access to care in states that adopted the expansion, millions of low-income individuals, many of whom are racial and ethnic minorities, remain uninsured in non-expansion states. The elimination of cost-sharing for preventive services under the ACA contributed to increased utilization of cancer screenings, vaccinations, and other preventive measures among minority groups. However, challenges persist, including affordability barriers, geographic disparities, and cultural and linguistic obstacles. This review also highlights the ongoing need for policy interventions, such as nationwide Medicaid expansion, and future research on the long-term effects of the ACA on health outcomes for minority populations. Full article

Introduction: Racial and ethnic disparities in end-of-life (EOL) cancer care persist, leading to lower rates of advance care planning (ACP), reduced access to palliative care, and poorer patient outcomes for minority populations. While previous research has documented these inequities, less is known about the specific interventions developed to address them, necessitating a comprehensive review of existing strategies aimed at improving EOL care for racial and ethnic populations. The objective of this scoping review is to examine the extent and characteristics of interventions and their outcomes designed to address racial and ethnic disparities in EOL cancer care in the United States. Methods: A comprehensive search of EOL cancer care interventions for minority populations was conducted in Ovid MEDLINE, CINAHL with Full Text (EBSCOhost), and Scopus (Elsevier) in September 2024. Two independent reviewers screened titles, abstracts, and full texts following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines, with inclusion limited to studies conducted in the US and published in English. Results: Of 3104 screened studies, 10 met the inclusion criteria. Participants enrolled were only from Latino (n = 6 studies) or Black (n = 4 studies) populations. We identified four types of interventions, including communication skills for patients, caregivers, researchers, and clinicians (n = 2), education programs for patients (n = 1), navigation and support programs for patients and caregivers (n = 3), and training programs for health workers and community leaders (n = 4). The most effective interventions were those that addressed linguistic barriers, integrated cultural values, and involved trusted community figures. Faith-based models were particularly successful among African American patients, while bilingual navigation and family-centered ACP interventions had the greatest impact in Latino populations. Conclusions: This review highlights (1) the importance of culturally tailored interventions for specific minority populations and (2) the limited number of such interventions, which primarily target only the largest minority groups. Full article

The COVID-19 pandemic significantly disrupted higher education worldwide, imposing strict isolation measures, transitioning learning online, and exacerbating existing social and economic inequalities. This literature review examines the pandemic’s impact on the mental health of college students, with a focus on those belonging to minority groups, including racial, ethnic, migrant, gender, sexuality-based, and low-income populations. While elevated levels of anxiety, depression, and loneliness were observed across all students, findings indicate that LGBTQ+ and low-income students faced the highest levels of psychological distress, due to compounded stressors such as family rejection, unsafe home environments, and financial insecurity. Racial and ethnic minority students reported increased experiences of discrimination and reduced access to culturally competent mental healthcare. International and migrant students were disproportionately affected by travel restrictions, legal uncertainties, and social disconnection. These disparities underscore the need for higher education institutions to implement targeted, inclusive mental health policies that account for the unique needs of at-risk student populations during health crises. Full article

Objectives: The objective of this study was to examine the impact of the COVID-19 pandemic on racialized communities and individuals in Canada. Methods: This review followed the Joanna Briggs Institute (JBI) methodology and the PRISMA-ScR guidance on reporting scoping reviews. Ovid MEDLINE ALL, Embase Classic + Embase, CINAHL (Ebsco platform), PsycINFO, and Cochrane were searched for documents that were published after March 2020 and that reported on the social and economic impacts and health outcomes of the COVID-19 pandemic on generally healthy racialized populations that reside in Canada. Synthesis: A total of 39 documents were included in this review. Our results show racialized communities faced greater social, economic, and health impacts from the pandemic. These impacts were manifested in the form of high COVID-19 morbidity and mortality rates, increased discrimination, worsening mental health, difficulty in accessing healthcare, and challenges related to accessing food and basic necessities. Conclusion: Canadian racialized groups have been inequitably affected by the COVID-19 pandemic due to pre-existing inequalities and emerging discrimination. Responsive policy action and robust pandemic preparedness efforts are indispensable in adopting a proactive stance to prevent racialized populations from bearing a disproportionate burden of negative health crises in the future. This necessitates addressing pre-existing disparities and targeting social and economic vulnerability areas. By doing so, we can mitigate the reported social, economic, and health impacts experienced by racialized groups, including challenges related to accessing basic necessities, deteriorating mental health, and barriers to healthcare access. Full article

Background: Hepatocellular carcinoma (HCC) remains a significant global health burden, particularly among vulnerable populations. This retrospective study investigates trends in HCC incidence and age at diagnosis within an urban medical center population, focusing on the impact of hepatitis C virus (HCV) treatment and racial disparities. Methods: The study includes 484 patients diagnosed with HCC between 2000 and 2023. Results: A significant decline in HCC incidence was observed with a peak in incidences between 2015 and 2017 (p < 0.02). The increase and subsequent decline were driven by a decline in HCV-related cases, particularly among the African American (AA) population. This trend was not seen for patients with other risk factors for HCC. An increase in age at diagnosis in HCV patients but not other risk patients was observed in AA (62 vs. 69 years p = 0.001) but not non-AA patients (66 vs. 67 p = 0.16). This increase in age for AA HCV patients could be due to an aging population, changing risk factor profiles, and/or limitations in surveillance and early detection of HCC. Conclusions: This study highlights the critical role of HCV treatment in reducing HCC incidence, particularly within the AA population. These findings emphasize the need for sustained efforts in surveillance, early detection, and targeted prevention strategies to address the evolving epidemiology of HCC and improve outcomes across all populations. Full article

This paper investigates the utility of an Artificial Intelligence (AI) system, as it examines AI-generated output when prompted with a series of vignettes reflecting typical disciplinary challenges encountered by K-12 students. Specifically, the study focuses on possible racial biases embedded within ChatGPT, a prominent language-based AI system. An analysis of AI-generated responses to disciplinary vignettes involving students of diverse racial backgrounds uncovered subtle yet prevalent racial biases present in the output. The findings indicate that while ChatGPT generally offered recommendations that were consistent and appropriate across racial lines, instances of pronounced and prejudicial disparities were observed. This study highlights the critical necessity of acknowledging and rectifying racial biases inherent in AI systems, especially in contexts where such technologies are utilized for school discipline. It provides guidance for educators and practitioners on the cautious use of AI-driven tools in disciplinary contexts, and emphasizes the ongoing imperative to mitigate biases in AI systems to ensure fair and equitable outcomes for all students, irrespective of race or ethnicity. Full article

Health disparities among marginalized populations persist in many developed countries despite substantial population health advancements, highlighting persistent systemic inequities. Visible minorities, defined as the non-White and non-Indigenous racialized population in Canada, face earlier disease onset, worse outcomes, barriers to care, and shorter life expectancy. Conventional single-axis research frameworks, which examine factors like race, gender, or socioeconomic status in isolation, often fail to capture the complex realities of these disparities. Intersectionality theory, rooted in Black feminist thought and Critical Race Theory, offers a crucial lens for understanding how multiple systems of oppression intersect to shape health outcomes. However, its application in health research remains inconsistent, with often inadequate and tokenistic applications of this theory attributable to the limitations of a research approaches and resources, as well as biases from researchers. Integrating intersectionality with other relevant frameworks and theories in population health, such as ecosocial theory that explains how social inequalities become biologically embodied to create health inequities, strengthens the capacity to analyze health inequities comprehensively. This article advocates for thoughtful application of intersectionality in research to understand health disparities among visible minorities, urging methodological rigor, contextual awareness, and a focus on actionable interventions. By critically embedding intersectional principles into study design, researchers can move beyond describing disparities to identifying meaningful, equity-driven solutions. This approach supports a deeper, more accurate understanding of health inequities and fosters pathways toward transformative change in public health systems. Full article

While racial inequalities in assortative mating and fertility have been well documented, the role of neighborhoods has frequently been overlooked in explaining these disparities. In this study, I use restricted birth record data from the state of California with neighborhood-level socioeconomic and demographic data to explore the roles of neighborhoods and structural neighborhood inequality in mediating racial inequality in assortative mating and fertility in 2018 and 2019. Overall, neighborhood disadvantage, particularly disadvantage measured in a neighborhood’s mobility network, mediated a substantial proportion of the disparity in fathers’ educational attainment between White and Black or Hispanic mothers in California in 2018 and 2019. Additionally, while I observe evidence of Black and Hispanic neighborhoods having significantly greater fertility rates than White neighborhoods, this gap can be entirely explained by neighborhood disadvantage. Lastly, a significant share of the fertility gap between less-educated White and Black women is mediated by neighborhood disadvantage. This study motivates more research at the intersection of assortative mating and fertility at the neighborhood scale. Full article