The impact of devaluing Women of Color: stress, reproduction, and justice.

This commentary is in response to the Call for Papers put forth by the Critical Midwifery Studies Collective (June 2022). We argue that due to a long and ongoing history of gendered racism, Women of Color are devalued in U.S. society. Devaluing Women of Color leads maternal healthcare practitioners to miss and even dismiss distress in Women of Color. The result is systematic underdiagnosis, undertreatment, and the delivery of poorer care to Women of Color, which negatively affects reproductive outcomes generally and birth outcomes specifically. These compounding effects exacerbate distress in Women of Color leading to greater distress. Stress physiology is ancient and intricately interwoven with healthy pregnancy physiology, and this relationship is a highly conserved reproductive strategy. Thus, where there is disproportionate or excess stress (distress), unsurprisingly, there are disproportionate and excess rates of poorer reproductive outcomes. Stress physiology and reproductive physiology collide with social injustices (i.e., racism, discrimination, and anti-Blackness), resulting in pernicious racialized maternal health disparities. Accordingly, the interplay between stress and reproduction is a key social justice issue and an important site for theoretical inquiry and birth equity efforts. Fortunately, both stress physiology and pregnancy physiology are highly plastic-responsive to the benefits of increased social support and respectful maternity care. Justice means valuing Women of Color and valuing their right to have a healthy, respected, and safe life.

Social Determinants of Premature Birth.

Social determinants of health have received increasing attention in public health, leading to increased understanding of how social factors-individual and contextual-shape the health of the mother and infant. However, racial differences in birth outcomes persist, with incomplete explanation for the widening disparity. Here, we highlight the social determinants of preterm birth, with special attention to the social experiences among African American women, which are likely attributed to structural racism and discrimination throughout life.

Critical Reflection to Investigate Medical Student Attitudes Toward Skin Tone in Their Preclinical Years.

INTRODUCTION: Implicit racial bias, defined as unreasoned judgement based solely on an individual's skin color, is a persistent barrier to quality medical care for people of color in the United States. Early, learner-centered intervention is crucial to establish cultural competence within health professional training programs. METHODS: Over 3 academic years, preclinical, second-year medical students were asked to submit an anonymous critical reflection regarding skin tone in medicine (n=794). Critical reflection is an instructional approach that encourages students to investigate their own thoughts and actions. Course credit was given based on the honor system. Reflection submission content and student feedback were analyzed quantitatively and qualitatively using constructivist thematic analysis. RESULTS: Most students completed the assignment (93.0%) and reported feeling comfortable expressing themselves honestly in the anonymous format (84.6%). Students' comfort level with honesty declined if they would have had to identify themselves (50.8%). Student comments indicated relief to have a place to process experiences and emphasized the importance of anonymity for value of this assignment. Thematic analysis identified 2 themes and 13 subthemes among student submissions. Submissions varied in format and typically contained multiple codes (4.08 ± 1.77 subthemes), indicating that students participated meaningfully in the assignment. CONCLUSIONS: Although some educators may hesitate to address these topics, students at our institution appreciated having a space to process their thoughts. This assignment structure is an effective way for educators to address a difficult, sensitive, and important topic in a meaningful way with students.

Medical mistrust, discrimination and healthcare experiences in a rural Namibian community.

Substantial evidence indicates that medical mistrust, resulting from experiences with discrimination and marginalisation, is a determinant of health disparities in minority populations. However, this research is largely limited to the US and other industrialised countries. To broaden our understanding of the role of medical mistrust on health-care decision making, we conducted a study on healthcare experiences and perceptions in a rural, underserved indigenous community in northwest Namibia (n = 86). Mixing semi-structured interview questions with the medical mistrust index (MMI), we aim to determine the relevance of the MMI in a non-industrialised population and compare index scores with reports of healthcare experiences. We find that medical mistrust is a salient concept in this community, mapping onto negative healthcare experiences and perceptions of discrimination. Reported healthcare experiences indicate that perceived incompetence, maltreatment and discrimination drive mistrust of medical personnel. However, reporting of recent healthcare experiences are generally positive. Our results indicate that the concept of medical mistrust can be usefully applied to communities in the Global South. These populations, like minority communities in the US, translate experiences of discrimination and marginalisation into medical mistrust. Understanding these processes can help address health disparities and aid in effective public health outreach in underserved populations.

Immigration documentation statuses evoke racialized faceism in mental representations.

U.S. immigration discourse has spurred interest in characterizing who illegalized immigrants are or perceived to be. What are the associated visual representations of migrant illegality? Across two studies with undergraduate and online samples (N = 686), we used face-based reverse correlation and similarity sorting to capture and compare mental representations of illegalized immigrants, native-born U.S. citizens, and documented immigrants. Documentation statuses evoked racialized imagery. Immigrant representations were dark-skinned and perceived as non-white, while citizen representations were light-skinned, evaluated positively, and perceived as white. Legality further differentiated immigrant representations: documentation conjured trustworthy representations, illegality conjured threatening representations. Participants spontaneously sorted unlabeled faces by documentation status in a spatial arrangement task. Faces' spatial similarity correlated with their similarity in pixel luminance and "American" ratings, confirming racialized distinctions. Representations of illegalized immigrants were uniquely racialized as dark-skinned un-American threats, reflecting how U.S. imperialism and colorism set conditions of possibility for existing representations of migrant illegalization.

Racism against healthcare users in inpatient care: a scoping review.

BACKGROUND: Racism in the healthcare system has become a burgeoning focus in health policy-making and research. Existing research has shown both interpersonal and structural forms of racism limiting access to quality healthcare for racialised healthcare users. Nevertheless, little is known about the specifics of racism in the inpatient sector, specifically hospitals and rehabilitation facilities. The aim of this scoping review is therefore to map the evidence on racial discrimination experienced by people receiving treatment in inpatient settings (hospitals and rehabilitation facilities) or their caregivers in high-income countries, focusing specifically on whether intersectional axes of discrimination have been taken into account when describing these experiences. METHODS: Based on the conceptual framework developed by Arksey and O'Malley, this scoping review surveyed existing research on racism and racial discrimination in inpatient care in high-income countries published between 2013 and 2023. The software Rayyan was used to support the screening process while MAXQDA was used for thematic coding. RESULTS: Forty-seven articles were included in this review. Specifics of the inpatient sector included different hospitalisation, admission and referral rates within and across hospitals; the threat of racial discrimination from other healthcare users; and the spatial segregation of healthcare users according to ethnic, religious or racialised criteria. While most articles described some interactions between race and other social categories in the sample composition, the framework of intersectionality was rarely considered explicitly during analysis. DISCUSSION: While the USA continue to predominate in discussions, other high-income countries including Canada, Australia and the UK also examine racism in their own healthcare systems. Absent from the literature are studies from a wider range of European countries as well as of racialised and disadvantaged groups other than refugees or recent immigrants. Research in this area would also benefit from an engagement with approaches to intersectionality in public health to produce a more nuanced understanding of the interactions of racism with other axes of discrimination. As inpatient care exhibits a range of specific structures, future research and policy-making ought to consider these specifics to develop targeted interventions, including training for non-clinical staff and robust, transparent and accessible complaint procedures.

Structural Racism as a Contributor to Lung Cancer Incidence and Mortality Rates Among Black Populations in the United States.

BACKGROUND: Although racial disparities in lung cancer incidence and mortality have diminished in recent years, lung cancer remains the second most diagnosed cancer among US Black populations. Many factors contributing to disparities in lung cancer are rooted in structural racism. To quantify this relationship, we examined associations between a multidimensional measure of county-level structural racism and county lung cancer incidence and mortality rates among Black populations, while accounting for county levels of environmental quality. METHODS: We merged 2016-2020 data from the United States Cancer Statistics Data Visualization Tool, a pre-existing county-level structural racism index, the Environmental Protection Agency's 2006-2010 Environmental Quality Index (EQI), 2023 County Health Rankings, and the 2021 United States Census American Community Survey. We conducted multivariable linear regressions to examine associations between county-level structural racism and county-level lung cancer incidence and mortality rates. RESULTS: Among Black males and females, each standard deviation increase in county-level structural racism score was associated with an increase in county-level lung cancer incidence of 6.4 (95% CI: 4.4, 8.5) cases per 100,000 and an increase of 3.3 (95% CI: 2.0, 4.6) lung cancer deaths per 100,000. When examining these associations stratified by sex, larger associations between structural racism and lung cancer rates were observed among Black male populations than among Black females. CONCLUSION: Structural racism contributes to both the number of new lung cancer cases and the number of deaths caused by lung cancer among Black populations. Those aiming to reduce lung cancer cases and deaths should consider addressing racism as a root-cause.

Examining the relationship between social determinants of health, measures of structural racism and county-level overdose deaths from 2017-2020.

INTRODUCTION: Despite being an important determinant of health outcomes, measures of structural racism are lacking in studies examining the relationship between the social determinants of health (SDOH) and overdose deaths. The aim of this study is to examine the association between per capita revenue generated from fines and forfeitures, a novel measure of structural racism, and other SDOH with county-level overdose deaths from 2017-2020. METHODS: This longitudinal analysis of 2,846 counties from 2017-2020 used bivariate and multivariate Generalized Estimating Equations models to estimate associations between county overdose mortality rates and SDOH characteristics, including the fines and forfeitures measure. RESULTS: In our multivariate model, higher per capita fine and forfeiture revenue (5.76; CI: 4.76, 6.78), households receiving food stamps (1.15; CI: 0.77, 1.53), residents that are veterans (1.07; CI: 0.52, 1.63), substance use treatment availability (4.69; CI: 3.03, 6.33) and lower population density (-0.002; CI: -0.004, -0.001) and percent of Black residents (-0.7`; CI: -1.01, -0.42) were significantly associated with higher overdose death rates. There was a significant additive interaction between the fines and forfeitures measure (0.10; CI: 0.03, 0.17) and the percent of Black residents. CONCLUSIONS: Our findings suggest that structural racism, along with other SDOH, is associated with overdose deaths. Future research should focus on connecting individual-level data on fines and forfeitures to overdose deaths and other health outcomes, include measures of justice-related fines, such as court fees, and assess whether interventions aimed at increasing economic vitality in disadvantaged communities impact overdose deaths in a meaningful way.

Discrimination, disadvantage and disempowerment during COVID-19: a qualitative intrasectional analysis of the lived experiences of an ethnically diverse healthcare workforce in the United Kingdom.

BACKGROUND: Healthcare workers (HCWs) in the United Kingdom (UK) have faced many challenges during the COVID-19 pandemic, some of these arising out of their social positions. Existing literature explicating these challenges (e.g., lack of appropriate PPE, redeployment, understaffing) have highlighted inequities in how these have been experienced by HCWs based on ethnicity, gender or, job role. In this paper, we move a step ahead and examine how the intersection of these social positions have impacted HCWs' experiences of challenges during the pandemic. METHODS: We collected qualitative data, using interviews and focus groups, from 164 HCWs from different ethnicities, gender, job roles, migration statuses, and regions in the United Kingdom (UK) between December 2020 and July 2021. Interviews and focus groups were conducted online or by telephone, and recorded with participants' permission. Recordings were transcribed and a hybrid thematic analytical approach integrating inductive data-driven codes with deductive ones informed by an intersectional framework was adopted to analyse the transcripts. RESULTS: Thematic analysis of transcripts identified disempowerment, disadvantage and, discrimination as the three main themes around which HCWs' experiences of challenges were centred, based on their intersecting identities (e.g., ethnicity gender, and/or migration status). Our analysis also acknowledges that disadvantages faced by HCWs were linked to systemic and structural factors at the micro, meso and macro ecosystemic levels. This merging of analysis which is grounded in intersectionality and considers the ecosystemic levels has been termed as 'intrasectionalism'. DISCUSSION: Our research demonstrates how an intrasectional lens can help better understand how different forms of mutually reinforcing inequities exist at all levels within the healthcare workforce and how these impact HCWs from certain backgrounds who face greater disadvantage, discrimination and disempowerment, particularly during times of crisis like the COVID-19 pandemic.

'The Relentless Nature of Whiteness': Black Psychologists' Experiences of Racial Microaggressions in Cross-Cultural Supervision.

OBJECTIVES: Research suggests that cross-cultural supervision can be prone to microaggressions with deleterious effects for ethno-racial minorities. There are currently no known studies examining the impact of racial microaggressions in supervision on qualified psychologists. This study aimed to explore Black psychologists' experiences of microaggressions in supervision with a White supervisor and their impact. METHODS: Semi-structured interviews were conducted with 10 individuals who had completed clinical or counselling psychology doctoral training. Interviews were transcribed and analysed using interpretative phenomenological analysis. RESULTS: Three superordinate themes and 12 subthemes were derived from the analysis. The superordinate themes were: 'It's the subtle things', 'It's an ordeal' and 'Surviving Whiteness in psychology'. The findings illustrate the complex nature of racial microaggressions and their profound and lasting impact on individuals. The cumulative impact of these experiences resulted in significant negative psychological outcomes. CONCLUSIONS: The results suggest that there are common microaggressions that recur in supervision. Encountering microaggressions impeded the supervisory relationship, supervision and professional development. Clinical implications include recommendations for including multicultural competency in psychology trainings and ongoing professional development plans.

White men can't jump, but do they still get picked first? Race and player selection in the NBA draft, 1980-2021.

Despite excelling at recruiting Black players, studies have repeatedly produced evidence of racial discrimination in the National Basketball Association (NBA). Through this study, we re-examine the topic of racial discrimination within the NBA through an analysis of the Association's annual entry draft. Using a novel dataset, we statistically model the relationship between player race and draft pick number using pooled data from 1980 to 2021. Overall, we find only limited evidence of racial discrimination. These findings are generally robust to sub-sample analyses, alternative specifications of our race variable, and alternate statistical modeling techniques. However, analyses performed on sub-samples of draft picks that participated in the NBA combine-and for whom we have measurements of player athleticism-produce some evidence of racial discrimination. Through such models we estimate that Black players are picked roughly three picks later in the draft. We consider the implications of these findings for contemporary theorizing about racial discrimination in the NBA and more mainstream labor markets.

Bien qu'elle excelle dans le recrutement de joueurs noirs, des études ont démontré à plusieurs reprises l'existence d'une discrimination raciale au sein de la National Basketball Association (NBA). Dans le cadre de cette étude, nous réexaminons le sujet de la discrimination raciale au sein de la NBA en analysant la sélection annuelle (draft) de l'association. À l'aide d'un nouvel ensemble de données, nous modélisons statistiquement la relation entre la race du joueur et le numéro de sélection à la draft en utilisant des données regroupées de 1980 à 2021. Dans l'ensemble, nous ne trouvons que des preuves limitées de discrimination raciale. Ces résultats sont généralement robustes aux analyses de sous­échantillons, aux spécifications alternatives de notre variable raciale et aux autres techniques de modélisation statistique. Toutefois, les analyses effectuées sur des sous­échantillons de sélectionnés ayant participé au NBA combine­et pour lesquels nous disposons de mesures de l'athlétisme des joueurs­produisent certains éléments de preuve de la discrimination raciale. Grâce à ces modèles, nous estimons que les joueurs noirs sont sélectionnés environ 3 fois plus tard dans la draft. Nous théorisons les implications de ces résultats pour les théories contemporaines sur la discrimination raciale dans la NBA et les marchés du travail ordinaires.

Use of natural language processing to uncover racial bias in obstetrical documentation.

Natural Language Processing (NLP), a form of Artificial Intelligence, allows free-text based clinical documentation to be integrated in ways that facilitate data analysis, data interpretation and formation of individualized medical and obstetrical care. In this cross-sectional study, we identified all births during the study period carrying the radiology-confirmed diagnosis of fibroid uterus in pregnancy (defined as size of largest diameter of >5 cm) by using an NLP platform and compared it to non-NLP derived data using ICD10 codes of the same diagnosis. We then compared the two sets of data and stratified documentation gaps by race. Using fibroid uterus in pregnancy as a marker, we found that Black patients were more likely to have the diagnosis entered late into the patient's chart or had missing documentation of the diagnosis. With appropriate algorithm definitions, cross referencing and thorough validation steps, NLP can contribute to identifying areas of documentation gaps and improve quality of care.

Exploring medical students' experiences with indigenous patient care: a phenomenological study.

BACKGROUND: Indigenous Peoples in Canada bear a disproportionate burden of disease and experience poorer health outcomes as compared to non-Indigenous populations within Canada; these conditions are said to be mediated and exacerbated by pervasive and uninterrupted anti-Indigenous racism. Third and fourth-year medical students at a Canadian medical school were asked to reflect on their experiences working with Indigenous patients in clinical settings, and how their preclinical Indigenous health curriculum impacted these experiences. METHOD: Phenomenology was used, guided by Goffman's theory of social stigma. Eleven undergraduate medical students were recruited using purposeful sampling. Semi-structured phone interviews were conducted to gain an in-depth understanding of the participants' experiences. Interviews were recorded and transcribed verbatim. Data were analyzed using the four main processes for phenomenological analysis. RESULTS: Four main themes emerged from students' descriptions of clinical experiences involving Indigenous patients: 1) students describe how their Indigenous patients encounter the health care system and their own lack of cultural sensitivity in this context; 2) racism was evident in students' clinical interactions with Indigenous patients, but students do not always perceive these biases nor the impact of this on patient care; 3) identifying the impact of racism on care is complicated by situational clinical encounters; and 4) practicality of preclinical Indigenous health education is desired by students to prepare them for working with Indigenous patients in the clinical setting. CONCLUSIONS: In their clinical experiences, students witness racism against Indigenous peoples yet are unprepared to stand up against it. Findings highlight the importance of enhancing undergraduate medical training to allow students to better understand the unique experiences and perspectives of Indigenous patients. The results support the need for ongoing Indigenous health education, to foster culturally sensitive experiences while learning about Indigenous patients.

Racial discrimination and substance use among people of color.

OBJECTIVE: We provide insights into studying racial discrimination and substance use among people of color, in response to Cénat et al.'s (2023) findings from Black youth in Canada. METHOD: We discuss relevant literature on the topic. RESULTS: Studying racial discrimination requires a dynamic and temporal conceptualization of race/racism within social contexts and an acknowledgment of the inadequacies of our current approaches. Further, studying the impact of racial discrimination may require an eclectic use of theories and the incorporation of community voices. CONCLUSIONS: We recommend collecting measures of racism whenever possible, disaggregating race into ethnic groups and intersections of identities, engaging with communities to clarify concepts and select appropriate measures, and disseminating findings with opportunities for communities to speak and for researchers to listen. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

Everyday Resistance to White Supremacy: Walking and Cycling While Black in Springs, South Africa, 1950s-1970s.

This article explores why white supremacists regard self-directed mobility by people of color as threatening by examining a controversy that unfolded in a mining town called Springs during the apartheid era in South Africa. Drawing on archives, oral histories, and testimonies, it shows how white residents of Selcourt and Selection Park, along with their allies in the town council, prevented Black workers from walking and cycling through the suburbs. Infrastructure and social disciplinary institutions proved effective in forcing Black workers to largely comply. It argues that the white supremacist disciplinary imperative against the workers arose directly from the characteristics of their mode of mobility. In their open embodiment, free from the confines of mechanized transport, and slow speeds, the workers engaged in a sustained refusal of spatial segregation. The article highlights how racial difference as an analytical category sheds light on mobility control within regimes of white supremacy.

Proxy failure in social policies as one of the main causes of persistent sexism and racism.

One example of proxy failure is current antisexist and antiracist policies. One of the most popular proxy in them is the number of representatives of marginalized groups - women and nonwhite people - in power structures. Here I show that such measures do not lead to combating sexism and racism, which flourish despite their application.