A Multigenerational Model of Environmental Risk for Black, Indigenous, and People of Color (BIPOC) Children and Families.

BACKGROUND: In recent years, public discourse has increasingly brought institutional and structural racism to the foreground of discussion on the well-being of BIPOC (Black, Indigenous, and People of Color) communities. Environmental toxicity in combination with the social triggers of institutional and structural racism are among the factors that shape the short- and long-term health of BIPOC Americans across multiple lifespans. OBJECTIVES: We outline a 2+ Generation Model for examining the mechanisms through which institutional and structural racism promotes the intergenerational transmission of environmental health risk and family and interpersonal relationships across the life course and across multiple generations. We present the model's theoretical underpinnings and rationale, discuss model limitations and needed sources of data, and implications for research, policy, and intervention. DISCUSSION: Parents and children are not only biologically linked in terms of transmission of environmental toxicities, but they are also linked socially and intergenerationally. The 2+ Generation Model foregrounds family and interpersonal relationships occurring within developmental contexts that are influenced by environmental toxicity as well as institutional and structural racism. In sum, the 2+ Generation Model highlights the need for an equity-first interdisciplinary approach to environmental health and redirects the burden of risk reduction away from the individual and onto the institutions and structures that perpetuate the racial disparities in exposure. Doing so requires institutional investment in expanded, multigenerational, and multimethod datasets. https://doi.org/10.1289/EHP13110.

Observers of social media discussions about racial discrimination condemn denial but also adopt it.

Sharing experiences with racism (racial discrimination disclosure) has the power to raise awareness of discrimination and spur meaningful conversations about race. Sharing these experiences with racism on social media may prompt a range of responses among users. While previous work investigates how disclosure impacts disclosers and listeners, we extend this research to explore the impact of observing discussions about racial discrimination online-what we call vicarious race talk. In a series of experiments using real social media posts, we show that the initial response to racial discrimination disclosure-whether the response denies or validates the poster's perspective-influences observers' own perceptions and attitudes. Despite observers identifying denial as less supportive than validation, those who observed a denial response showed less responsive attitudes toward the poster/target (Studies 1-3) and less support for discussions about discrimination on social media in general (Studies 2-3). Exploratory findings revealed that those who viewed denial comments also judged the transgressor as less racist, and expressed less support and more denial in their own comments. This suggests that even as observers negatively judge denial, their perceptions of the poster are nonetheless negatively influenced, and this impact extends to devaluing the topic of discrimination broadly. We highlight the context of social media, where racial discrimination disclosure-and how people respond to it-may be particularly consequential.

A person-reported cumulative social risk measure does not show bias by income and education.

BACKGROUND: Social risk such as housing instability, trouble affording medical care and food insecurity are a downstream effect of social determinants of health (SDOHs) and are frequently associated with worse health. SDOHs include experiences of racism, sexism and other discrimination as well as differences in income and education. The collective effects of each social risk a person reports are called cumulative social risk. Cumulative social risk has traditionally been measured through counts or sum scores that treat each social risk as equivalent. We have proposed to use item response theory (IRT) as an alternative measure of person-reported cumulative social risk as IRT accounts for the severity in each risk and allows for more efficient screening with computerized adaptive testing. METHODS: We conducted a differential item functioning (DIF) analysis comparing IRT-based person-reported cumulative social risk scores by income and education in a population-based sample (n = 2122). Six social risk items were analyzed using the two-parameter logistic model and graded response model. RESULTS: Analyses showed no DIF on an IRT-based cumulative social risk score by education level for the six items examined. Statistically significant DIF was found on three items by income level but the ultimate effect on the scores was negligible. CONCLUSIONS: Results suggest an IRT-based cumulative social risk score is not biased by education and income level and can be used for comparisons between groups. An IRT-based cumulative social risk score will be useful for combining datasets to examine policy factors affecting social risk and for more efficient screening of patients for social risk using computerized adaptive testing.

Study protocol: a mixed-methods study of the implementation of doula care to address racial health equity in six state Medicaid programs.

BACKGROUND: Racial inequities in severe maternal morbidity (SMM) and mortality constitute a public health crisis in the United States. Doula care, defined as care from birth workers who provide culturally appropriate, non-clinical support during pregnancy and postpartum, has been proposed as an intervention to help disrupt obstetric racism as a driver of adverse pregnancy outcomes in Black and other birthing persons of colour. Many state Medicaid programs are implementing doula programs to address the continued increase in SMM and mortality. Medicaid programs are poised to play a major role in addressing the needs of these populations with the goal of closing the racial gaps in SMM and mortality. This study will investigate the most effective ways that Medicaid programs can implement doula care to improve racial health equity. METHODS: We describe the protocol for a mixed-methods study to understand how variation in implementation of doula programs in Medicaid may affect racial equity in pregnancy and postpartum health. Primary study outcomes include SMM, person-reported measures of respectful obstetric care, and receipt of evidence-based care for chronic conditions that are the primary causes of postpartum mortality (cardiovascular, mental health, and substance use conditions). Our research team includes doulas, university-based investigators, and Medicaid participants from six sites (Kentucky, Maryland, Michigan, Pennsylvania, South Carolina and Virginia) in the Medicaid Outcomes Distributed Research Network (MODRN). Study data will include policy analysis of doula program implementation, longitudinal data from a cohort of doulas, cross-sectional data from Medicaid beneficiaries, and Medicaid healthcare administrative data. Qualitative analysis will examine doula and beneficiary experiences with healthcare systems and Medicaid policies. Quantitative analyses (stratified by race groups) will use matching techniques to estimate the impact of using doula care on postpartum health outcomes, and will use time-series analyses to estimate the average treatment effect of doula programs on population postpartum health outcomes. DISCUSSION: Findings will facilitate learning opportunities among Medicaid programs, doulas and Medicaid beneficiaries. Ultimately, we seek to understand the implementation and integration of doula care programs into Medicaid and how these processes may affect racial health equity. Study registration The study is registered with the Open Science Foundation ( https://doi.org/10.17605/OSF.IO/NXZUF ).

Why Opportunities for Tenure Matter for Minoritized Faculty in Academic Medicine.

Academic medicine continues to characterize the experiences of Black and other minoritized faculty in medicine to enhance their careers and promote their advancement. An issue of discussion is tenure and its role in the advancement and retention of this group. Tenure is a sign of national presence, command of an area of study, and can demonstrate support from the institution in terms of permanent employment, eligibility to apply for awards, sit or vote on certain committees or qualify for certain leadership opportunities. Anecdotally there have been reports that tenure is a thing of the past that has lost relevance prompting some to end tenure in their institutions. Reasons for this are complex, however the literature does not include minoritized faculty as a reason for the need to revise or eliminate tenure and tenure earning tracks. The authors discuss 3 reasons why Black and other minoritized faculty should be afforded the opportunity to achieve permanent status in their academic health centers. They include histories of being denied freedom, having information concealed or being giving false information, and being denied permanent academic employment status.

Advancing Equity and Justice in Academic Nursing Through Trauma-Informed Education Practice.

BACKGROUND: As educators and schools redouble their efforts to support and graduate a diverse and highly competent student body, there is an urgent need to adopt an academic framework to understand the effects of trauma on student learning, ground equity and justice in nursing education, and underpin policy development. METHOD: This article explicates the use of equity-centered trauma-informed education practice (TIEP) as a framework for examining, scrutinizing, and eliminating the influences and effects of racism, including explicit, implicit, systematic, and microaggressions, as well as inequitable approaches in practices, pedagogy, and policy. RESULTS: Five key strategies were identified: (1) bias and antiracist work; (2) safety and trust; (3) culturally responsive pedagogy; (4) wellness and balance and (5) community-building. CONCLUSION: Transforming nursing education requires a paradigm shift, with changes occurring from an individual to a system level. TIEP ensures changes are equity-centered and justice-focused. [J Nurs Educ. 2024;63(8):507-514.].

Negligence in biomedical research: an anti-racist approach for substance use researchers.

Racism is embedded in the fabric of society at structural, disciplinary, hegemonic, and interpersonal levels, working as a mechanism that drives health disparities. In particular, stigmatized views of substance use get entangled with racialization, serving as a tool to uphold oppressive systems. While national health institutions have made commitments to dismantle these systems in the United States, anti-racism has not been integrated into biomedical research practice. The ways in which substance use researchers use and interpret race data-without engaging in structural racism as a mechanism of health inequity-can only be described as inadequate. Drawing upon concepts from the Public Health Critical Race praxis, QuantCrit, and an anti-racism research framework, we recommend a set of guidelines to help biomedical researchers conceptualize and engage with race more responsibly in substance use research.

¿No Hay Racismo?: application of the levels of racism framework to Latinx perspectives on barriers to health and wellbeing.

BACKGROUND: The purpose of this study is to increase understanding of the forms of systemic racism experienced by Latinx communities in North Carolina during the COVID-19 pandemic as identified by Latinx community health workers (CHWs) and community-based organization (CBO) leaders. METHODS: We held three focus groups in July 2022 (N = 16) with CHWs and CBO leaders in Spanish to discuss policy and community interventions that improved access to resources during the COVID-19 pandemic; policy or community interventions needed to improve care of Latinx communities; and lessons learned to improve the health of Latinx communities in the future. We performed directed and summative qualitative content analysis of the data in the original language using the Levels of Racism Framework by Dr. Camara Jones to identify examples of implicitly and explicitly discussed forms of systemic racism. RESULTS: Latinx CHWs and CBO leaders implicitly discussed numerous examples of all levels of racism when seeking and receiving health services, such as lack of resources for undocumented individuals and negative interactions with non-Latinx individuals, but did not explicitly name racism. Themes related to institutionalized racism included: differential access to resources due to language barriers; uninsured or undocumented status; exclusionary policies not accounting for cultural or socioeconomic differences; lack of action despite need; and difficulties obtaining sustainable funding. Themes related to personally-mediated racism included: lack of cultural awareness or humility; fear-inciting misinformation targeting Latinx populations; and negative interactions with non-Latinx individuals, organizations, or institutions. Themes related to internalized racism included: fear of seeking information or medical care; resignation or hopelessness; and competition among Latinx CBOs. Similarly, CHWs and CBO leaders discussed several interventions with systems-level impact without explicitly mentioning policy or policy change. CONCLUSION: Our research demonstrates community-identified examples of racism and confirms that Latinx populations often do not name racism explicitly. Such language gaps limit the ability of CHWs and CBOs to highlight injustices and limit the ability of communities to advocate for themselves. Although generally COVID-19 focused, themes identified represent long-standing, systemic barriers affecting Latinx communities. It is therefore critical that public and private policymakers consider these language gaps and engage with Latinx communities to develop community-informed anti-racist policies to sustainably reduce forms of racism experienced by this unique population.

Implicit bias and experience influence overall but not relative trustworthiness judgment of other-race faces.

Impressions of trustworthiness are formed quickly from faces. To what extent are these impressions shared among observers of the same or different races? Although high consensus of trustworthiness evaluation has been consistently reported, recent studies suggested substantial individual differences. For instance, negative implicit racial bias and low contact experience towards individuals of the other race have been shown to be related to low trustworthiness judgments for other-race faces. This pre-registered study further examined the effects of implicit social bias and experience on trustworthiness judgments of other-race faces. A relatively large sample of White (N = 338) and Black (N = 299) participants completed three tasks: a trustworthiness rating task of faces, a race implicit association test, and a questionnaire of experience. Each participant rated trustworthiness of 100 White faces and 100 Black faces. We found that the overall trustworthiness ratings for other-race faces were influenced by both implicit bias and experience with individuals of the other-race. Nonetheless, when comparing to the own-race baseline ratings, high correlations were observed for the relative differences in trustworthiness ratings of other-race faces for participants with varied levels of implicit bias and experience. These results suggest differential impact of social concepts (e.g., implicit bias, experience) vs. instinct (e.g., decision of approach-vs-avoid) on trustworthiness impressions, as revealed by overall vs. relative ratings on other-race faces.

The Importance of Discussing the History of Racism in Medical Student Education.

Racial health disparities are tightly linked to the longstanding and pervasive institution of racism. Efforts to reverse disparities begin with awareness and accountability through education. The health care workforce must be formally educated about racist practices, tools, and ideologies that perpetuate poor health outcomes. This article explores prior efforts to integrate race didactics into medical school education, addresses current legislation, and illuminates lessons learned from a single institution pilot curriculum exploring the history of racism in the field of obstetrics and gynecology. Educating medical school students about the history of racism is an important and necessary tool for positive change.

Race science without racists: how bigoted paradigms persist in allergy research.

In the wake of the murder of George Floyd and the massacre in Buffalo, the editorial boards of the prominent scientific publication companies formally apologized for their journals' historical role in advancing race science and promised to improve their standards. However, flowery commentaries cannot undo the consistent pattern of endorsing biologic differences between ethnic groups, even when discussing diseases or traits that are not considered politically charged. In this report, an exemplar is made of a recent publication claiming to identify phenotypes of atopic dermatitis that are distinct between European Americans, Asians, and African Americans. The insufficiency of the evidence and logic underlying these claims are discussed. Although devoid of malice, numerous publications continue to demonstrate how claims of biological differences between races is mainstreamed in modern scientific publications. Overall, the goal of this work is to challenge the scientific community, particularly the publication companies, to evaluate how assumptions of innate biologic disadvantage have clouded assessments of racial disparities in disease beyond the topics that are more stereotypical of race science.

"Somewhere along the line, your mask isn't going to be fitting right": institutional racism in Black narratives of traumatic brain injury rehabilitation across the practice continuum.

BACKGROUND: Over two decades of research about traumatic brain injury (TBI) rehabilitation emphasized the persistence of racial health disparities in functional outcomes that disproportionately impact Black populations without naming or addressing racism as the root problem. Further, the experiences of Black people with TBI have yet to be documented and accounted for in scientific scholarship from the perspectives of Black persons in Canada. PURPOSE: This study intended to examine the rehabilitation narratives of Black TBI survivors, family caregivers, and rehabilitation providers and use critical race theory as a conceptual framework to understand how anti-Black racism manifests in those experiences. METHODS: Through critical narrative inquiry informed by a critical constructivist paradigm and a critical race theory lens, in-depth narrative interviewing were conducted with seven survivors, three family caregivers, and four rehabilitation providers. Data were analyzed using reflexive thematic analysis within and across groups of participants to conceptualize themes and sub-themes. FINDINGS: Themes captured how racism becomes institutionalized in TBI rehabilitation: (1) the institutional construction of deficient Black bodies, (2) the institutional construction of rehabilitation access, (3) the institutional investment in resisting and approximating whiteness in rehabilitation practice, and (4) the institutional construction of deficient Black futures. CONCLUSION: Study findings point to the dire need to ensure rehabilitation programs, services, and the delivery of care are not determined based on inequitable practices, racial biases and assumptions about Black people, which determine who deserves to get into rehabilitation and have opportunities to be supported in working towards living a full and meaningful life.

COVID-19 vaccine mistrust, health literacy, conspiracy theories, and racial discrimination among a representative ethnically diverse sample in Canada: The vulnerability of Arab, Asian, Black, and Indigenous peoples.

Despite increased risk of severe acute respiratory syndrome coronavirus 2 infections and higher rates of COVID-19-related complications, racialized and Indigenous communities in Canada have lower immunization uptake compared to White individuals. However, there is woeful lack of data on predictors of COVID-19 vaccine mistrust (VM) that accounts for diverse social and cultural contexts within specific racialized and Indigenous communities. Therefore, we sought to characterize COVID-19 VM among Arab, Asian, Black, and Indigenous communities in Canada. An online survey was administered to a nationally representative, ethnically diverse panel of participants in October 2023. Arabic, Asian, Indigenous, and Black respondents were enriched in the sampling panel. Data were collected on demographics, COVID-19 VM, experience of racial discrimination, health literacy, and conspiracy beliefs. We used descriptive and regression analyses to determine the extent and predictors of COVID-19 VM among racialized and Indigenous individuals. All racialized respondents had higher VM score compared to White participants. Among 4220 respondents, we observed highest VM among Black individuals (12.18; ±4.24), followed by Arabic (12.12; ±4.60), Indigenous (11.84; ±5.18), Asian (10.61; ±4.28), and White (9.58; ±5.00) participants. In the hierarchical linear regression analyses, Black participants, women, everyday racial discrimination, and major experience of discrimination were positively associated with COVID-19 VM. Effects of racial discrimination were mediated by addition of conspiracy beliefs to the model. Racialized and Indigenous communities experience varying levels of COVID-19 VM and carry specific predictors and mediators to development of VM. This underscores the intricate interaction between race, gender, discrimination, and VM that need to be considered in future vaccination campaigns.

War, terror and mourning. Cultural memory in the inner dialogue.

This text compares four essays dealing with war, state terror in dictatorships, social violence such as racism, mourning and the avoidance of mourning. It shows that dictatorships share similarities in their techniques of manipulation, linguistic style and reference to history. They seek to exploit national myths through manipulative alienation. Myths are a central element of cultural memory, and their effect can be understood through a model of internal dialogue. This dialogue determines whether the regime's attempts at manipulation are successful.

The Intergenerational Effects From Structural Racism Cost Our Society Greatly.

Structural racism is historically rooted, and has been a foundation for United States immigration policy. This injustice has intergenerational effects that cost society greatly - with impacts on social cohesion, individual and collective health, and well-being, and ultimately our ability to function as a civil society. Limited pathways to citizenship and major restrictions to resources that promote integration have adverse consequences for immigrants and, their families. Research shows that children experience toxic stress that negatively impacts their long-term health and development from heightened immigration enforcement, regardless of any personal impact. In embracing the next generation of children, we will not succeed unless we support sound integration policies that promote the health and well-being of immigrant families across this nation. We must recognize how intricately our fates and our health are tied to each other; we all depend on immigrants being well. We must advance new a social contract, one that counters the 'othering' of immigrants" and recognizes that we must invest in the health and well-being of all families.

Fairness in Predicting Cancer Mortality Across Racial Subgroups.

Importance: Machine learning has potential to transform cancer care by helping clinicians prioritize patients for serious illness conversations. However, models need to be evaluated for unequal performance across racial groups (ie, racial bias) so that existing racial disparities are not exacerbated. Objective: To evaluate whether racial bias exists in a predictive machine learning model that identifies 180-day cancer mortality risk among patients with solid malignant tumors. Design, Setting, and Participants: In this cohort study, a machine learning model to predict cancer mortality for patients aged 21 years or older diagnosed with cancer between January 2016 and December 2021 was developed with a random forest algorithm using retrospective data from the Mount Sinai Health System cancer registry, Social Security Death Index, and electronic health records up to the date when databases were accessed for cohort extraction (February 2022). Exposure: Race category. Main Outcomes and Measures: The primary outcomes were model discriminatory performance (area under the receiver operating characteristic curve [AUROC], F1 score) among each race category (Asian, Black, Native American, White, and other or unknown) and fairness metrics (equal opportunity, equalized odds, and disparate impact) among each pairwise comparison of race categories. True-positive rate ratios represented equal opportunity; both true-positive and false-positive rate ratios, equalized odds; and the percentage of predictive positive rate ratios, disparate impact. All metrics were estimated as a proportion or ratio, with variability captured through 95% CIs. The prespecified criterion for the model's clinical use was a threshold of at least 80% for fairness metrics across different racial groups to ensure the model's prediction would not be biased against any specific race. Results: The test validation dataset included 43 274 patients with balanced demographics. Mean (SD) age was 64.09 (14.26) years, with 49.6% older than 65 years. A total of 53.3% were female; 9.5%, Asian; 18.9%, Black; 0.1%, Native American; 52.2%, White; and 19.2%, other or unknown race; 0.1% had missing race data. A total of 88.9% of patients were alive, and 11.1% were dead. The AUROCs, F1 scores, and fairness metrics maintained reasonable concordance among the racial subgroups: the AUROCs ranged from 0.75 (95% CI, 0.72-0.78) for Asian patients and 0.75 (95% CI, 0.73-0.77) for Black patients to 0.77 (95% CI, 0.75-0.79) for patients with other or unknown race; F1 scores, from 0.32 (95% CI, 0.32-0.33) for White patients to 0.40 (95% CI, 0.39-0.42) for Black patients; equal opportunity ratios, from 0.96 (95% CI, 0.95-0.98) for Black patients compared with White patients to 1.02 (95% CI, 1.00-1.04) for Black patients compared with patients with other or unknown race; equalized odds ratios, from 0.87 (95% CI, 0.85-0.92) for Black patients compared with White patients to 1.16 (1.10-1.21) for Black patients compared with patients with other or unknown race; and disparate impact ratios, from 0.86 (95% CI, 0.82-0.89) for Black patients compared with White patients to 1.17 (95% CI, 1.12-1.22) for Black patients compared with patients with other or unknown race. Conclusions and Relevance: In this cohort study, the lack of significant variation in performance or fairness metrics indicated an absence of racial bias, suggesting that the model fairly identified cancer mortality risk across racial groups. It remains essential to consistently review the model's application in clinical settings to ensure equitable patient care.

"The straw that broke the camel's back": An analysis of racialized women clinicians' experiences providing diabetes care.

INTRODUCTION: Racialized women clinicians (RWCs) experience the brunt of unfair racial and gendered expectations, which is a direct result of their visible identity. Our study sought to understand how these experiences intersect to impact the personal and professional well-being of RWCs, and their approach to diabetes care. METHODS: Data were collected from 24 RWCs working within Canadian diabetes care settings, who participated in semi-structured, one-on-one interviews conducted from April 2021 to September 2021. The data were qualitatively analyzed using thematic analysis to develop emergent themes, and interactions were explored using the socioecological model (SEM), adapted to our study context. RESULTS: We identified three themes: (1) Discordance between self-identity and relational identity impacted how RWCs interacted with others, and how others interacted with them; (2) Tokenistic, "inclusive" organizational policies/practices and inherently racist and sexist social norms permitted acts of discrimination and led to the systematic othering and exclusion of RWCs within the workplace; and (3) Differential treatment of RWCs had both positive and negative impacts on participants' relational, workplace and self-identity. Using the SEM, we also found that differential treatment of RWCs stems from upstream policies, structures, and social norms, percolating through different levels of the SEM, including work environments and communities, which eventually impacts one's relational identity, as well as one's perception of oneself. CONCLUSION: The differential treatment of RWCs arises predominantly from macro systems of the work environment. The burden to address these disparities must be shifted to the source (i.e., namely systems) by implementing interventions that equitably value diversity efforts, institute policies of accountability and correction of implicit biases, and prioritize an inclusive culture broadly across faculty and leadership.

Mental Health Needs of Asian American Older Adults: Bridging the Inequity Gap.

The mental health needs of Asian American older adults are complex and multifaceted. Despite their rich diversity, Asian American older adults face significant challenges, including mental health stigma, cultural stress, limited English proficiency, and historical trauma. In addition, the coronavirus disease 2019 pandemic reignited preexisting anti-Asian attitudes of hostility, discrimination, blame, and scapegoating. The historical context of Asian immigration to the United States, impact of race-based discrimination, and recent resurgence of anti-Asian hate crimes impact mental health in Asian American older adults. Thus, there is a need for a culturally sensitive and competent mental health care workforce, culturally tailored interventions, and family involvement. In the context of research and policy, it is critical to prioritize increased funding and research focus on culturally tailored instrument development, interventions, and policy initiatives informed by recent findings to safeguard this population from hate crimes and discrimination. [Journal of Psychosocial Nursing and Mental Health Services, 62(7), 11-15.].

Challenging Misconceptions about Race in Undergraduate Genetics.

Racial biases, which harm marginalized and excluded communities, may be combatted by clarifying misconceptions about race during biology lessons. We developed a human genetics laboratory activity that challenges the misconception that race is biological (biological essentialism). We assessed the relationship between this activity and student outcomes using a survey of students' attitudes about biological essentialism and color-evasive ideology and a concept inventory about phylogeny and human diversity. Students in the human genetics laboratory activity showed a significant decrease in their acceptance of biological essentialism compared with a control group, but did not show changes in color-evasive ideology. Students in both groups exhibited increased knowledge in both areas of the concept inventory, but the gains were larger in the human genetics laboratory. In the second iteration of this activity, we found that only white students' decreases in biological essentialist beliefs were significant and the activity failed to decrease color-evasive ideologies for all students. Concept inventory gains were similar and significant for both white and non-white students in this iteration. Our findings underscore the effectiveness of addressing misconceptions about the biological origins of race and encourage more research on ways to effectively change damaging student attitudes about race in undergraduate genetics education.