Abstract
Objective:
To elucidate some of the manifestations of structural racism as a root cause of racialized inequities in HIV in the context of COVID-19, centered through the lens of community members with lived experiences.
Methods:
We partnered with eight community-based organizations to conduct focus group discussions structured around COVID-19 and HIV-related experiences. We utilized inductive coding and thematic analysis.
Results:
We conducted 10 focus group discussions (98 participants) across the United States between February and May 2023; 65% were ages 18–39, over 90% identified as Black, 39% were female, and 66% were cisgender. First, participants emphasized that structural racism intersects with other systems of oppression. Second, three main themes emerged as manifestations of structural racism: (1) lack of representation in state and federal decision-making levels, (2) differential access to resources, and (3) intergenerational mistrust and trauma.
Conclusion:
The intersecting impact of the HIV epidemic and COVID-19 pandemic underscores the pervasive effects of structural racism that manifests in the United States.
Health Equity Implications:
More than ever, researchers must champion the experiences and needs of racial and ethnic minority communities to affect structural change.
Introduction
In the United States (U.S.), race shapes social stratification, with structural racism influencing where people live, work, and make health decisions. 1 Structural racism refers to “the totality of ways in which societies foster racial discrimination, via mutually reinforcing inequitable systems … that in turn reinforce discriminatory beliefs, values, and distribution of resources.” 2 It limits access to housing, education, employment, and health care for underrepresented racial populations. 3 The COVID-19 pandemic intensified racialized inequities already present in the U.S. HIV epidemic. 4 For instance, Black (42%) and Latiné (29%) people represent a disproportionate portion of the estimated 1.2 million people living with HIV (PWH) 5 despite comprising only 13% and 19% of the total U.S. population, respectively.5,6 The COVID-19 age-adjusted mortality rates exhibited a similar trend for Black (21.5%) and Latiné (27%) people. 7 The pandemic brought renewed attention to the social determinant of health (SDoH) and their roots in structural racism.8,9
SDoH are “the conditions in the environment where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks.” 10 Healthy People 2030 outlines five overarching domains: education, health care, neighborhood and built environment, economic stability, and social context. 10 These factors shape the lived experiences of PWH and individuals vulnerable to HIV as they navigate the need for medication for the rest of their lives, manage HIV-related side effects, mental health, and stigma, and confront the potential for loss of income and isolation from friends and family.11,12 Compared with White non-Hispanic/Latiné (hereinafter termed “White”) PWH, Black and Hispanic/Latiné (hereinafter termed “Latiné”) PWH have lower rates of viral suppression and are more likely to be unemployed, have a disability, experience homelessness, and be incarcerated; American Indian/Alaska Native and multiracial Latiné PWH experience even higher rates of homelessness.13,14 Black and Latiné communities have the highest rates of new HIV diagnoses but the lowest use of preexposure prophylaxis, influenced by lack of insurance, immigration status, and socioeconomic barriers.15,16 The significance of the SDoH in shaping health outcomes for communities affected by HIV cannot be overemphasized. Growing scholarly and policy attention recognizes that structural racism is not merely a backdrop but a fundamental driver of the inequitable distribution of these determinants.8,9,12,17–19
Despite the outsized role structural racism plays in the U.S. HIV epidemic, the operationalization and conceptualization of structural racism in HIV research, especially as it relates to the processes for how structural racism manifests within the lived experiences of impacted communities, is understudied in the HIV field.19,20 Literature exists regarding experiences of structural racism in HIV, but it is largely limited to those manifestations at the individual and not structural level.21–28 Furthermore, the role of community-research partnerships and engagement in codeveloping tailored interventions to address various health inequities became more critical during COVID-19. 29 Thus, to address the gap with the conceptualization of structural racism, especially at the structural level, through the lens of communities affected by HIV, and now in the context of the COVID-19 pandemic, where these communities experienced a “double hit,” we worked with HIV-focused community-based organizations (CBOs).
Methods
Overall team members and positionality
The study team—including academic researchers (from African and South Asian immigrant communities), research collaborators (one multiracial and one from the African immigrant community), study staff (from African and South Asian immigrant communities), and community partners (from Black, African immigrant, Latiné, and LGBTQIA+ communities)—met regularly during project planning, implementation, analysis, and dissemination (see Supplementary Data).
We used a multifaceted approach to engage scientific and community partners through (1) a scientific advisory committee (SAC) including members with lived experiences and expertise as community members and/or health scientists and (2) qualitative data collection, in collaboration with CBO partners, examining how structural racism and SDoH shape racial/ethnic health disparities in HIV and COVID-19. Our aim was to meaningfully engage communities in cocreating and coleading research agendas in data science, specifically as it relates to HIV-related health equity research. This article presents the first of two focus areas: structural racism-related findings from our qualitative data collection and analysis efforts.
Sampling and guide development
Through convenience sampling, sourced from a study team member’s social and professional network (S.E.W.-M.J.), we partnered with eight CBOs to conduct focus group discussions (FGDs) with lay community members affected by HIV (Table 1). The facilitators from the CBOs had existing relationships with the FGD participants through peer-to-peer interactions, community advisory memberships, and/or other interactions within their respective organization. The CBOs recruited and conducted the FGDs in English on Zoom, with individual participants joining from various locations in the U.S. We developed the FGD guide iteratively with our scientific and community partners. While the overall focus of the FGD guide was on SDoH and HIV/COVID-19, occasional questions were asked about their relationships with structural racism.
Community-Based Organization Partners
Connections with CBOs were made by Dr. Stephan Wallace through previously established relationships in other work.
There were a total of 10 FGDs conducted across the 8 organizations we partnered with (Trans Health Solutions Center and KBCAN each held two FGDs).
Indicates individuals also included as community and/or scientific members in the SAC.
CBO, community-based organization; FGDs, focused group discussions; SAC, scientific advisory committee.
Data collection
We conducted eligibility screening and collected informed consent and sociodemographic data from each participant at the beginning of the FGDs. FGDs were audio-recorded, and a study team member (B.A.M.) took field notes when available. The recordings were transcribed by a small Black, women-owned business, reflecting a commitment to supporting and amplifying marginalized voices within the broader research process. Study team members who attended the FGDs reviewed each de-identified transcript for overall accuracy against their recall.
Analysis
Sociodemographic data were descriptively summarized using R Studio software (version 2022.02.3-492). Two study team members (M.H. and B.A.M.) conducted inductive coding of all transcripts using Dedoose (version 9.0). We developed a codebook to generate analysis memos, facilitating the identification of preliminary major themes. To ensure the trustworthiness and relevance of our findings, we engaged with both scientific and community partners through monthly SAC meetings and CBO feedback sessions, respectively. These discussions provided critical perspectives, allowing us to assess the congruence between our findings and the lived experiences of populations affected. While no conceptual models for structural racism guided data collection, post hoc, we sought a model or framework that resonated with our findings. While some models or frameworks exist for articulating the role of structural racism for specific populations, for example, gender- and immigration status-based, race and ethnicity, or for a topic (e.g., maternal health), none holistically captured the unique experiences highlighted by our findings.30–32 We employed a “tree” analogy to help better synthesize our findings juxtapositioning structural racism against other related constructs. In this analogy, the tree symbolizes intersectionality,33–35 starting with the “soil” or cultural determinants, “roots” or the structural determinants (in this case structural racism), “branches” or the social determinants of health, and ending with “fruits” or health and well-being of communities. 36
Ethical review
This study was approved by the University of Washington’s institutional review board. All data were anonymized to ensure confidentiality.
Results
Participant and organization characteristics
We conducted a total of 10 FGDs across 8 CBOs, based in U.S. cities such as Washington, D.C., Boston, Seattle, and Houston, between February and May 2023, with two of the organizations conducting two FGDs each.
Though more individuals joined the FGDs, only 98 participants completed our survey, with 6–15 participants within each FGD (Table 2). About 65% of the participants were between the ages of 18 and 39, over 90% were Black, and 66% were cisgender. Twenty-three percent of the participants had some high school education, 30% had some college degree, and 25% had a bachelor’s or master’s degree. A majority (80%) indicated that racial and ethnic disparities existed in both HIV prevention and treatment. Similarly to the CBOs, all participants reported that their affiliated organizations served individuals who belonged to underrepresented populations of racial, ethnicity, sexual orientation, and/or gender and were underserved in HIV-related prevention, testing, treatment, advocacy, and research.
Demographic Information of CBO FGD Participants
Count N = 98 (100%) is the count of people that filled out the form, but more individuals attended the FGDs. Groups that had 0% were removed from the table including: South and East Asia birthplace, Intersex, Another Sex, Transgender Man, Arab and other Middle Eastern American.
CBO, community-based organization; FGDs, focused group discussions.
Overview of findings
We present our findings below (see Table 3 for illustrative quotes). Most of our FGD participants self-identified as Black; however, the themes that emerged extended across racially and ethnically minoritized communities. Thus, we have chosen to use the collective term “communities of color,” while recognizing that not all communities were represented well in our data collection. Participants first described structural racism as embedded within intersectional systems of oppression that included structural sexism, homophobia, xenophobia, and more. Three key themes emerged as manifestations of structural racism: (1) racially underrepresented communities lack power and representation in decision-making at the federal and state levels, leading to negative downstream effects on insufficient and weak structural resources; (2) the need to address differential access to resources, which prioritizes access and well-being of White communities over communities of color; and (3) perpetuation of intergenerational mistrust and trauma, particularly within the various U.S. health care systems.
Themes, Subthemes, and Notable Quotes from the Focus Group Discussions from the Sub-Study “Building Community Partnerships for Big Data Science: community Engagement in N3C for HIV Research” Conducted Between February and May 2023
Overarching context: Multiple systems of oppression
Majority of participants stressed the intersectionality of each of their various social positions (e.g., being a Black immigrant woman who is gay) and the ways that the multiple systems of oppression had a downstream impact on their lives. The understanding that structural racism is intertwined with other structural forms of oppression (intersectional forms of oppression or the soil of the tree framework mentioned above), 36 is fundamental to explaining how purposely harmful and insufficient infrastructure creates negative lived experiences for racially and ethnically minoritzed communities. Many highlighted the challenge of navigating the U.S. systems by describing the barriers they encountered as people who experience stigma and discrimination based on their various social positions. Others spoke of the ways they experienced intersectional discrimination and racism—such as being Black and queer, Black and trans, or young and dark-skinned—shaping the ways they interacted with health care institutions and health information at the individual level. Many highlighted the connection between their individual experiences with HIV and COVID-19 sharing the paralleling ways structural racism affected them and their communities (e.g., misinformation and disinformation, differential resource levels, limited health care system capacity), which caused a unique experience due to already having increased health vulnerability, the historical trauma of living with HIV, and experiencing multiple forms of stigma due to being affected by HIV. Figure 1 captures the relationship between structural racism and SDoH through the manifestations highlighted by the participants paralleling the structure of the tree framework. Next, we discuss the three main themes of structural racism manifestations while showing the subthemes with illustrative quotes (and detailed analysis in Supplementary Data).

The downstream relationship between structural racism and SDoH seen through the experiences of communities living with and impacted by HIV. SDoH, social determinant of health.
Theme 1: Communities of color lack power and representation in decision-making at the federal and state levels, leading to a negative downstream effect on sufficient infrastructure
Participants expressed a sense of disempowerment in decision-making spaces, noting that those in power do not represent their communities or prioritize their needs (subtheme 1A). One participant said, “Who’s making these decisions on who’s getting more money” (CBO 3). The impact of health inequities, laid painfully bare during the COVID-19 pandemic, showed the disparity in resources and opportunities between communities. They frequently shared how they have observed that differential power then translates to financial differences between White and affluent communities receiving better resources and information. In turn, this translates to inadequate infrastructure and intentional systemic neglect of their neighborhoods (subtheme 1B), as one participant pointed out, “Colored people are pushed out of neighborhoods when the neighborhoods are developing” (CBO 4).
Theme 2: Structural racism enforces differential access to resources that prioritizes access and well-being of White communities over communities of color
Participants largely expressed disappointment, anger, and disdain when discussing their experiences of unequal access to resources during the COVID-19 pandemic (subtheme 2A). A participant described how “When it’s time to treat us,… we’re like, at the bottom.” (CBO 1). These experiences caused feelings reminiscent of personal and historical experiences of HIV but just more evident with COVID-19. Many participants’ narratives emphasized the role of white supremacy and overt structural racism in determining which communities were prioritized (subtheme 2B). Another participant described, “They don’t give us the same books. They don’t give us the same buildings to learn in. They never have. They still don’t” (CBO 7).
Theme 3: Structural racism facilitates intergenerational trauma and mistrust
In addition to sharing their experiences around unequal access to power and resources, participants also described how persistent inequities have led to intergenerational trauma and mistrust (subtheme 3A). A participant shared, “…I think it’s just a lot of stigma and it’s lack of education …We don’t talk about that in a black house. […] I just commend the younger generation because they’re so bold now…I know it’s hard with the trust of the medical system, like back then, how they did the black people with um, syphilis. And we kinda don’t wanna trust the system. So, when it was time for a treatment and trials, there wasn’t too many black and brown people part of those trials and treatments.” (CBO 2). Importantly, participants’ examples illustrate how both individual and collective trauma have intergenerational consequences within health care (subtheme 3B). A participant described, “That goes back to the distrust in the healthcare…It took me three times to catch COVID for me to get the shot” (CBO 3). While increased cultural sensitivity and humility in health care settings can help address this distrust, more work at higher levels of systems must occur to truly ameliorate the mistrust (subtheme 3C). A participant suggested, “Making sure that there are doctors that are representative of community. Doctors not being able to relate to their clients, not knowing how to talk to trans or queer clients” (CBO 3).
Discussion
The HIV epidemic and COVID-19 pandemic in the U.S. illustrate how structural forces perpetuate health inequities.19,37 Participants’ narratives revealed how structural racism manifests in people’s everyday lives, highlighting the intersectional nature of oppression, ranging from sexism, xenophobia, and ableism. Our participants articulated specific manifestations of structural racism, made more evident by COVID-19 but present with HIV too, 38 on (1) political disempowerment, (2) unequal access to resources, and (3) intergenerational trauma and mistrust. These findings underscore the need for structural interventions to address these inequities.
While the concept of intersectional stigma is familiar in the HIV field,39–41 what our participants suggested was a more profound level of intersectionality existing at the structural level. This challenges us to go beyond recognizing individual-level racism (e.g., derogatory language or implicit bias)42–44 or historical events (e.g., slavery, Jim Crow) 1 and appreciate that structural racism closely intersects with other forms of oppression such as sexism, xenophobia, and more. 45 Participants articulated that the daily struggles they faced in trying to access sufficient resources were due to intersectional forms of oppression. For many immigrant and refugee people, for instance, struggles such as lack of interpreter services or fear of being undocumented were exacerbated by xenophobia. 32
Participants easily linked structural racism to political disempowerment. They expressed frustration about lacking decision-making power at various levels, which translated to insufficient infrastructure and resources. This disempowerment directly translated to their inability to adequately care for themselves and their communities. This finding reflects known disparities in HIV and COVID-19 that are driven by structural racism. 46 For instance, higher levels of measured structural racism were associated with increased rates of COVID-19 cases and deaths, even after accounting for factors such as sociodemographic characteristics, health care access, population density, or health. 45
Our study describes how these statistical realities play out daily. In particular, participants articulated the emotionally and physically damaging effects of experiencing the prioritization of White communities’ health and well-being over their own communities. For instance, participants shared their experiences of observing certain White communities receive better COVID-19 testing and vaccine access, including an influx of White people to their neighborhoods when vaccination tents arrived. Within a social and economic system already structured by white supremacy, these observations demand that relevant stakeholders work harder to build structural-level interventions that address this harm.
Lastly, participants clearly linked past and ongoing trauma with mistrust—highlighting the historical context to their present-day lived experiences. Medical mistrust is broadly documented in the extant public health literature, particularly within racial and ethnic minority communities. 47 Mistrust has been identified as barriers to engagement in HIV care and ART adherence. 48 HIV independently adds challenges to one’s daily life through the frequent interactions with the health care system for the medical support needed, experiencing stigma, isolation, mental health challenges, and financial hardships, along with the historical and ongoing trauma still being experienced by vulnerable communities.11,12,49 During the height of the COVID-19 pandemic, “vaccine hesitancy” among Black individuals was often cited as a barrier to curbing the pandemic. 50 This “hesitancy” has been mostly linked to the Tuskegee study, missing the opportunity to ground this mistrust in ongoing, daily lived experiences of social and economic exclusion for racial and ethnic minority communities.51,52 Our empirical findings align with previous analyses linking white supremacy and structural racism to mistrust, 52 and specify how these factors perpetuate intergenerational harm.
Health equity implications
Our findings support the call for structural change to address the cascade of health inequities caused by social, economic, and political oppression. We highlight some “what’s” but also some “how’s” of how to proceed with seeking structural change. Regarding the “what’s,” we stress a few suggestions within the realm of health care systems and for researchers. Health care systems need to move beyond acknowledging implicit bias; implicit bias training alone is insufficient because the onus is on individuals to effect structural change when the level of change is fundamentally beyond the individual. 53 Carter and colleagues recommend combining efforts at the institutional and structural levels alongside individual-level training. 53 Relatedly, cultural competency training falls short of reaching the needed structural changes; health care training must prioritize teaching cultural humility and person-centered care and engender broader inclusion and representation. 54 Researchers attempting to address health inequities need to move beyond describing disparities and even beyond the SDoH to focus on the political and structural determinants of health at county, state, and federal levels. Fundamentally, the changes needed are more dramatic, as Alang and Blackstock have outlined in the context of COVID-19, but with broader implications: (1) redistribute resources, (2) enforce mandates that redistribute power, (3) enact legislation that guarantees support for people, (4) center experiences and voices of the most impacted communities in policy development, and (5) evaluate multidimensional effects of policies across systems. As for the “how’s,” we stress community engagement and collective action for the ultimate goal of health justice. Researchers, us included, need to move beyond community consultancy models of work to collaborations and then true partnerships. 55 Admittedly, while hard work, collective action can only be achieved through bidirectional respect and long-standing relationships. 56 Lastly, positive structural change is possible. Many states around the U.S. have passed, or are in the process of trying to pass legislation that criminalizes efforts to address structural racism and other diversity, equity, and inclusion topics. 57 These policy moves have exacerbated and will continue to reinforce the inequities we aim to address, particularly through existing policies that criminalize HIV, transgender identities, substance use, and poverty.58–60 More than ever, now is the time to double down on this hard work.
Limitations
While this project had many strengths, such as sampling throughout the U.S., the CBOs leading the FGD conduct, and participating in interpretation and dissemination, including as coauthors, 61 there are a few important limitations to note. First, we did not capture the geographical distribution of the participants, and a majority of our participants were Black; we believe this may limit transferability of the findings across geography and other racial and ethnic minority communities, such as Latiné, Native American, or Asian American communities. Nonetheless, many participants felt their perspectives applied more broadly, as did our coauthor team, which did constitute members belonging to these other communities. Second, conducting these conversations via Zoom may have limited the depth of discussion or introduced accessibility challenges for some participants. However, prior research by members of this team demonstrates the feasibility of using Zoom for FGDs among older African immigrants in the U.S., even those with limited prior experience with virtual video conferencing technologies. Given this, we remain hopeful the virtual discussions were still accessible to many. Third, the participants who joined our FGDs largely had high levels of formal education and articulated themes at high levels of conceptualization and abstraction that even some research team members were not prepared to consider—case in point, how the participants raised elements related to structural racism when our FGD guides were mainly asking about the role of SDoH on HIV and COVID-19 experiences. Thus, themes articulated in this article may not resonate as readily with other lay community members.
Conclusion
Structural racism, inextricably linked with other structural determinants, shapes the lived experiences of racial and ethnic minority communities through political disempowerment, inequitable access to resources, and intergenerational trauma. Our study provides support for the argument that the HIV and COVID-19 epidemics will not be adequately addressed without urgent action on the various ways in which structural racism manifests in the U.S. Given the troubling trend toward stifling discussions on race and racism, now is the time to accelerate, not subdue, national, state, and local discourse on structural racism and intersectional oppression. Now is not the time for silence—it is time for bold, transformative actions.
Footnotes
Acknowledgment
The authors thank members of the N3C HIV subdomain team for conversations that have informed thoughts in this article.
Authors’ Contributions
B.A.M.: Conceptualization (supporting); methodology (lead); data collection (lead); analysis—initial (lead); analysis—final (equal); interpretation—original (equal); interpretation—final (equal); writing—original draft (equal); writing—review and editing (equal); investigation (equal); project administration (equal); resources (equal); software (lead); visualization (equal). M.H.: Data collection (lead); Analysis—initial (lead); Analysis—final (equal); Interpretation—original (equal); Interpretation—final (equal); Writing—original draft (equal); Writing—review and editing (equal). A.Z.: Analysis—final (equal); interpretation—original (equal); writing—original draft (equal). R.B.: Conceptualization (lead); Methodology (lead); Interpretation—final (equal); Writing—review and editing (equal); Funding acquisition (equal); Investigation (equal); Resources (equal). S.A.H.: Writing—review and editing (equal). J.Y.I.: Interpretation—final (equal); writing—review and editing (equal); resources (equal). J.Y.I.: Data collection (lead); Interpretation—final (equal); Writing—review and editing (equal). M.D.Z.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). B.P.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). C.N.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). J.B.B.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). M.M.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). S.S.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). D.McC.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). L.M.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). U.B.III: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). P.B.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). I.L.H.: Data collection (lead); interpretation—final (equal); writing—review and editing (equal). B.(W.)H.: Interpretation—final (equal); writing—review and editing (equal). M.W.: Writing—review and editing (equal). D.T.D.: Writing—review and editing (equal). S.E.W.-M.J.: Conceptualization (lead); methodology (equal); funding acquisition (equal); resources (equal). M.C.R.: Interpretation—final (equal); writing—review and editing (equal); resources (equal). J.J.: Analysis—final (lead); interpretation—original (lead); interpretation—final (lead); writing—original draft (lead); writing—review and editing (lead); investigation (equal); resources (equal). R.C.P.: Conceptualization (lead); Methodology (lead); Data collection (supporting); Analysis—initial (lead); Analysis—final (equal); Interpretation—original (equal); Interpretation—final (equal); Writing—original draft (lead); Writing—review and editing (equal); Funding acquisition (equal); Investigation (equal); Project administration (equal); Resources (equal); Software (lead); Supervision (lead); Visualization (equal).
Ethic Approval
This study was performed in line with principles of the Declaration of Helsinki and was deemed nonhuman subjects research and did not require ethical approval from the University of Washington Human Subjects Division.
Consent to Publish
We obtained written permission from Stephaun Wallace’s legal representative, Marcus Bryan, for permission to include him as a coauthor in this article posthumously.
Data Availability
Working files may be made available to individual researchers upon request.
Author Disclosure Statement
No competing financial interests exist.
Funding Information
This manuscript was supported overall by the U.S. National Institutes of Health over several years. B.A.M., R.B., and S.W. were individually supported, and each CBO’s participation was supported by an administrative supplement from the National Institute of Allergy and Infectious Diseases (NIAID; P30AI027757, supplement MPI R.C.P., R.B., and S.W.). J.Y.I., M.C.-R., and R.C.P. were supported by the National Institute of Mental Health prior to a change in scope of the award (NIMH; R01MH131542, PI R.C.P.). J.J. was supported by National Center for Advancing Translational Sciences (NCATS; K12TR004769). The funders had no role in study design, data collection and analysis, interpretation of results, writing, or publication of this report. The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the U.S. National Institutes of Health or the U.S. Government.
Abbreviations Used
References
Supplementary Material
Please find the following supplemental material available below.
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