Anti-Racism Methods for Big Data Research: Lessons Learned from the HIV Testing, Linkage, & Retention in Care (HIV TLR) Study

Invited commentary: race, ethnicity, and racism in epidemiologic research-perspectives from Public Health Critical Race Praxis (PHCRP)

In 2023, Martinez et al (Am J Epidemiol. 2023;192(3):483-496) examined trends in the inclusion, conceptualization, operationalization, and analysis of race and ethnicity among studies published in US epidemiology journals. Based on a random sample of articles (n = 1050) published from 1995-2018, the authors describe the treatment of race, ethnicity, and ethnorace in the analytic sample (n = 414, 39% of baseline sample) over time. The review supplies stark evidence of the routine omission and variability of measures of race and ethnicity in epidemiologic research. Between 32% and 19% of studies in each time stratum lacked race data; 61%-34% lacked ethnicity data. Informed by public health critical race praxis (PHCRP), this commentary discusses the implications of 4 problems the findings suggest pervade epidemiology: (1) a general lack of clarity about what race and ethnicity are; (2) the limited use of critical race or other theory; (3) an ironic lack of rigor in measuring race and ethnicity; and (4) the ordinariness of racism and White supremacy in epidemiology. The identified practices reflect neither current publication guidelines nor the state of the knowledge on race, ethnicity and racism; therefore, we conclude by offering recommendations to move epidemiology toward more rigorous research in an increasingly diverse society.

Is racism a barrier to HIV care continuum engagement among Black People in the United States? A scoping review to assess the state of the science and inform a research agenda

People living with HIV can achieve viral suppression through timely HIV care continuum (HCC) engagement (ie, diagnosis, linkage to HIV care, retention in care, and adherence to prescribed treatment regimens). Black populations have poorer viral suppression, suboptimal HCC engagement, and higher levels of racism-related mistrust. The state of the evidence linking suboptimal HCC engagement to racism among US Black populations is assessed in this article. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 6 English language databases were searched using 3 sets of key terms related to HCC engagement (eg, HIV diagnosis), racism (eg, discrimination), and the population (eg, Black people). To exclude articles, 3 rounds of reviews were conducted and results assessed for interrater reliability (κ = 99.00%; P < 0.00). From 2027 articles initially retrieved, the final set of analyses (n = 32) included clinical and nonclinical samples of people living with or at risk for HIV. Overall, the evidence was conceptually robust but methodologically simple. Studies primarily targeted intrapersonal and interpersonal racism and the late stage of HCC engagement: adherence. Sample-specific prevalence of racism ranged considerably; for example, 20% to 90% of sample members in clinical settings perceived or experienced interpersonal forms of racism. To date, the evidence suggests the relationship between racism and HCC engagement is mixed. Racism is salient among Black people living with or at risk for HIV. It appears not to impede HIV testing, though it may limit retention in HIV care, especially among men who have sex with men.

Re-envisioning, Retooling, and Rebuilding Prevention Science Methods to Address Structural and Systemic Racism and Promote Health Equity

The historic momentum from national conversations on the roots and current impacts of racism in the USA presents an incredible window of opportunity for prevention scientists to revisit how common theories, measurement tools, methodologies, and interventions can be radically re-envisioned, retooled, and rebuilt to dismantle racism and promote equitable health for minoritized communities. Recognizing this opportunity, the NIH-funded Prevention Science and Methodology Group (PSMG) launched a series of presentations focused on the role of Prevention Science to address racism and discrimination guided by a commitment to social justice and health equity. The current manuscript aims to advance the field of Prevention Science by summarizing key issues raised during the series' presentations and proposing concrete research priorities and steps that hold promise for promoting health equity by addressing systemic racism. Being anti-racist is an active practice for all of us, whether we identify as methodologists, interventionists, practitioners, funders, community members, or an intersection of these identities. We implore prevention scientists and methodologists to take on these conversations with us to promote science and practice that offers every life the right to live in a just and equitable world.

Building Community Engagement Capacity in a Transdisciplinary Population Health Research Consortium

Community engagement has been named a research priority by the National Institutes of Health, and scholars are calling for community engagement as an approach to address racism and equity in science. Robust community-engaged research can improve research quality, increase inclusion of traditionally marginalized populations, broaden the impact of findings on real-life situations, and is particularly valuable for underexplored research topics. The goal of this paper is to describe lessons learned and best practices that emerged from community engagement in a multi-institution population health research consortium. We describe how a foundation was laid to enable community-engaged research activities in the consortium, using a staged and stepped process to build and embed multi-level community-engaged research approaches.. We staged our development to facilitate (a) awareness of community engagement among consortium members, (b) the building of solidarity and alliances, and (c) the initiation of long-term engagement to allow for meaningful research translation. Our stepped process involved strategic planning; building momentum; institutionalizing engagement into the consortium infrastructure; and developing, implementing, and evaluating a plan. We moved from informal, one-time community interactions to systematic, formalized, capacity-building reciprocal engagement. We share our speed bumps and troubleshooting that inform our recommendations for other large research consortia-including investing the time it takes to build up community engagement capacity, acknowledging and drawing on strengths of the communities of interest, assuring a strong infrastructure of accountability for community engagement, and grounding the work in anti-racist principles.

Optimizing the Equitable Deployment of Virtual Care for Women: Protocol for a Qualitative Evidence Synthesis Examining Patient and Provider Perspectives Supplemented with Primary Qualitative Data

Introduction

Women experience numerous barriers to patient-centered health care (e.g., lack of continuity). Such barriers are amplified for women from marginalized communities. Virtual care may improve equitable access. We are conducting a partner-engaged, qualitative evidence synthesis (QES) of patients' and providers' experiences with virtual health care delivery for women.

Methods

We use a best-fit framework approach informed by the Non-adoption, Abandonment, Scale-up, Spread, and Sustainability framework and Public Health Critical Race Praxis. We will supplement published literature with qualitative interviews with women from underrepresented communities and their health care providers. We will engage patients and other contributors through multiple participatory methods.

Results

Our search identified 5525 articles published from 2010 to 2022. Sixty were eligible, of which 42 focused on women and 24 on provider experiences. Data abstraction and analysis are ongoing.

Discussion

This work offers four key innovations to advance health equity: (1) conceptual foundation rooted in an antiracist action-oriented praxis; (2) worked example of centering QES on marginalized communities; (3) supplementing QES with primary qualitative information with populations historically marginalized in the health care system; and (4) participatory approaches that foster longitudinal partnered engagement.

Health Equity Implications

Our approach to exploring virtual health care for women demonstrates an antiracist praxis to inform knowledge generation. In doing so, we aim to generate findings that can guide health care systems in the equitable deployment of comprehensive virtual care for women.

Intellectual and Developmental Disability Research: Success Through Inclusion and Equity

"Toward Equity in Research on Intellectual and Developmental Disabilities" (IDD) is a timely and comprehensive article highlighting gaps in the "dominant culture" approach to current research strategies designed to address IDD. Recentering systems involved in the research enterprise are recommended. This commentary provides additional guidance from a social justice, equity, and inclusion lens, including a clinical anthropology approach to research.

Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive.

Dismantling systems of racism and oppression during adolescence: An agenda for anti-racist research

In reflecting on the collection of work in the recent Journal of Research on Adolescence special series and what it means for research to dismantle systems of racism and oppression, we call for adolescent development researchers to embrace anti-racist research. We describe a set of strategies for conceptualizing, conducting, and disseminating research with adolescents using an anti-racist lens. These strategies flow from tenets of anti-racist research that include recognizing racism as systemic and being critically self-reflective on power and privilege, committed to doing no harm to adolescents, action-oriented, and community-centered. Despite obstacles to anti-racist research in academic and public ecosystems, anti-racist research is essential if we are interested in equity in adolescent' development and the well-being of all adolescents.

Considerations for Selecting Cognitive Endpoints and Psychological Patient-Reported Outcomes for Clinical Trials in Pediatric Patients With Sickle Cell Disease

Pediatric patients with sickle cell disease (SCD) experience a range of medical complications that result in significant morbidity and mortality. Recent advances in prophylactic and curative treatment approaches have highlighted the need for sensitive and clinically-meaningful trial endpoints. The detrimental effects of cognitive and psychological difficulties on social and economic mobility are well described. Although numerous reviews have assessed cognitive outcomes in other rare genetic disorders, SCD has not received the same focus. This review describes the cognitive (i.e., executive function and processing speed) and psychological domains (i.e., depression and anxiety) that are consistently associated with SCD pathology and, therefore, may be of particular interest as clinical trial endpoints. We then discuss corresponding well-validated and reliable cognitive tests and patient-reported outcomes (PROs) that may be appropriate for clinical trials given their robust psychometric properties, ease of administration, and previous use in the SCD population. Further, we provide a discussion of potential pitfalls and considerations to guide endpoint selection. In line with the move toward patient-centered medicine, we identify specific tests (e.g., NIH Toolbox Cognition Module, Wechsler Cancellation Test) and psychological PROs (e.g., PROMIS depression and anxiety scales) that are sensitive to SCD morbidity and have the potential to capture changes that are clinically meaningful in the context of patients' day to day lives. In particularly vulnerable cognitive domains, such as executive function, we highlight the advantages of composite over single-test scores within the context of trials. We also identify general (i.e., practice effects, disease heterogeneity) and SCD-specific considerations (i.e., genotype, treatment course, and disease course, including degree of neurologic, pain, and sleep morbidity) for trial measures. Executive function composites hold particular promise as trial endpoints that are clinically meaningful, amenable to change, relatively easy to collect, and can be incorporated into the routine care of patients with SCD in various settings and countries.

Confronting Racism in All Forms of Pain Research: A Shared Commitment for Engagement, Diversity, and Dissemination

This third paper in the "Confronting Racism in All Forms of Pain Research" series discusses adopting an antiracism framework across all pain research disciplines and highlights the significant benefits of doing so. We build upon the previous call to action and the proposed reframing of study designs articulated in the other papers in the series and seek to confront and eradicate racism through a shared commitment to change current research practices. Specifically, we emphasize the systematic disadvantage created by racialization (ie, the Eurocentric social and political process of ascribing racialized identities to a relationship, social practice, or group) and discuss how engaging communities in partnership can increase the participation of racialized groups in research studies and enrich the knowledge gained. Alongside this critical work, we indicate why diversifying the research environment (ie, research teams, labs, departments, and culture) enriches our scientific discovery and promotes recruitment and retention of participants from racialized groups. Finally, we recommend changes in reporting and dissemination practices so that we do not stigmatize or reproduce oppressive forms of power for racialized groups. Although this shift may be challenging in some cases, the increase in equity, generalizability, and credibility of the data produced will expand our knowledge and reflect the pain experiences of all communities more accurately. PERSPECTIVE: In this third paper in our series, we advocate for a shared commitment toward an antiracism framework in pain research. We identify community partnerships, diversification of research environments, and changes to our dissemination practices as areas where oppressive forms of power can be reduced.

Advancing scholarship on anti-racism within developmental science: Reflections on the special section and recommendations for future research

To date, theoretical and conceptual scholarship on anti-racism has been advanced through leading contributions from several disciplines (e.g., sociology, education, psychology). Still, there remain fewer empirical studies on anti-racism constructs, and we know little about the development of anti-racism among diverse youth across key stages of development. In this special section of Child Development, we sought to address this gap by highlighting scholarship in developmental science that attends to the development of anti-racism in children across contexts (e.g., families, schools) and developmental stages (e.g., early childhood through emerging adulthood). In our introduction to the special section, we review the collective contributions of included studies and outline recommendations for future research in the development of anti-racism in youth.

Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health

The big data revolution presents an exciting frontier to expand public health research, broadening the scope of research and increasing the precision of answers. Despite these advances, scientists must be vigilant against also advancing potential harms toward marginalized communities. In this review, we provide examples in which big data applications have (unintentionally) perpetuated discriminatory practices, while also highlighting opportunities for big data applications to advance equity in public health. Here, big data is framed in the context of the five Vs (volume, velocity, veracity, variety, and value), and we propose a sixth V, virtuosity, which incorporates equity and justice frameworks. Analytic approaches to improving equity are presented using social computational big data, fairness in machine learning algorithms, medical claims data, and data augmentation as illustrations. Throughout, we emphasize the biasing influence of data absenteeism and positionality and conclude with recommendations for incorporating an equity lens into big data research.

Society for Maternal-Fetal Medicine Special Statement: Race in maternal-fetal medicine research- Dispelling myths and taking an accurate, antiracist approach

Profound inequities in maternal and infant outcomes based on race exist, and the maternal-fetal medicine community has an important role in eliminating these disparities. Accurately employing race and ethnicity as social constructs within research that guides clinical practice is essential to achieving health equity. We must abandon commonly propagated myths that race is a surrogate for genetics or economic status and that data are exempt from potential bias. These myths can lead to harmful misconceptions that exacerbate racial disparities in maternal and infant health outcomes. Furthermore, these myths obscure racism as the true underlying etiology of racial disparities. Understanding that race is a social construct and using an antiracist approach to research are essential in combating racism and eliminating unacceptable disparities in maternal and infant health. This document provides specific suggestions to approach the research process with an antiracist framework.

Adequacy of Existing Surveillance Systems to Monitor Racism, Social Stigma and COVID Inequities: A Detailed Assessment and Recommendations

The populations impacted most by COVID are also impacted by racism and related social stigma; however, traditional surveillance tools may not capture the intersectionality of these relationships. We conducted a detailed assessment of diverse surveillance systems and databases to identify characteristics, constraints and best practices that might inform the development of a novel COVID surveillance system that achieves these aims. We used subject area expertise, an expert panel and CDC guidance to generate an initial list of N > 50 existing surveillance systems as of 29 October 2020, and systematically excluded those not advancing the project aims. This yielded a final reduced group (n = 10) of COVID surveillance systems (n = 3), other public health systems (4) and systems tracking racism and/or social stigma (n = 3, which we evaluated by using CDC evaluation criteria and Critical Race Theory. Overall, the most important contribution of COVID-19 surveillance systems is their real-time (e.g., daily) or near-real-time (e.g., weekly) reporting; however, they are severely constrained by the lack of complete data on race/ethnicity, making it difficult to monitor racial/ethnic inequities. Other public health systems have validated measures of psychosocial and behavioral factors and some racism or stigma-related factors but lack the timeliness needed in a pandemic. Systems that monitor racism report historical data on, for instance, hate crimes, but do not capture current patterns, and it is unclear how representativeness the findings are. Though existing surveillance systems offer important strengths for monitoring health conditions or racism and related stigma, new surveillance strategies are needed to monitor their intersecting relationships more rigorously.