Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
AIDS Behav. 2024 Oct;28(Suppl 1):149-165. doi: 10.1007/s10461-024-04417-9. Epub 2024 Aug 2.
In the U.S., inequities by race/ethnicity in health outcomes, such as in the HIV epidemic, are long standing but have come to the forefront during the COVID-19 pandemic. There is growing recognition of the role of structural racism in racialized health inequities, yet the conceptualization and operationalization of structural racism in HIV research lags. We conducted a scoping review of existing published literature, between 1999-April 2024, conceptualizing and measuring structural racism's impact among people living with or at risk for HIV in the U.S. Our initial search yielded 236 unique articles, which after title and abstract screening yielded ten articles meeting full text review criteria. We then extracted key parameters, such as conceptualization, method of measurement of structural racism, study aims, design, and findings. Three of the articles were qualitative studies that conceptualized structural racism using (1) the social network model, (2) individual and structural intersectionality and (3) critical race theory. Operationalization of structural racism within the seven quantitative studies fell into three categories: (1) structural level, (2) a scale of experiences of racism, including structural racism, and (3) using explanatory demographic factors as downstream measures of the effects of structural racism. The variance in the conceptualization and operationalization of structural racism highlights the different interpretations of structural racism in its applications to the field of HIV research. Given the vast racial/ethnic inequities in HIV, we propose three overarching suggestions for next steps in improving the conduct of research on structural racism in HIV: (1) we must prioritize measuring racism past the individual and interpersonal levels to consider systemic factors at a societal level that manifest as structural racism to improve HIV outcomes in the U.S., (2) consider intergenerational effects of structural racism through the use of longitudinal data, and (3) broaden the agenda of structural racism to incorporate other systems of oppression. Additionally, broadening the scope of funding and inclusion of more researchers and individuals with lived experiences to support structural racism research to drive the scientific agenda and design of structural-level interventions will not only bolster achieving the U.S. Ending the HIV Epidemic goals but will do so by addressing inequities.
在美国,健康结果方面的种族/族裔不平等,如艾滋病流行,由来已久,但在 COVID-19 大流行期间成为焦点。人们越来越认识到结构性种族主义在种族化健康不平等中的作用,但在艾滋病毒研究中,结构性种族主义的概念化和操作化仍存在滞后。我们对 1999 年至 2024 年 4 月期间已发表的文献进行了范围综述,以概念化和衡量美国艾滋病毒感染者或感染者面临的结构性种族主义的影响。我们最初的搜索产生了 236 篇独特的文章,经过标题和摘要筛选后,有 10 篇文章符合全文审查标准。然后,我们提取了关键参数,如概念化、结构性种族主义的测量方法、研究目的、设计和研究结果。其中 3 篇是定性研究,使用(1)社会网络模型、(2)个体和结构性交叉性和(3)批判种族理论来概念化结构性种族主义。在 7 项定量研究中,结构性种族主义的操作化分为三类:(1)结构性层面、(2)经历种族主义的程度量表,包括结构性种族主义,以及(3)使用解释性人口统计学因素作为结构性种族主义影响的下游措施。结构性种族主义的概念化和操作化的差异突出了其在应用于艾滋病毒研究领域时的不同解释。鉴于艾滋病毒方面存在巨大的种族/族裔不平等现象,我们提出了改进结构性种族主义艾滋病毒研究的三个总体建议:(1)我们必须优先考虑测量超出个人和人际关系层面的种族主义,以考虑社会层面的系统性因素,这些因素表现为结构性种族主义,从而改善美国的艾滋病毒结局,(2)通过使用纵向数据考虑结构性种族主义的代际影响,以及(3)扩大结构性种族主义的议程,将其他压迫制度纳入其中。此外,扩大资金范围,纳入更多的研究人员和具有生活经验的个人,以支持结构性种族主义研究,推动科学议程和结构性干预措施的设计,不仅将有助于实现美国终结艾滋病流行的目标,而且还将通过解决不平等现象来实现这一目标。