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In this article and the accompanying StoryMap, the authors identified ZIP Code Tabulation Areas with the largest share of minoritized racial and ethnic populations and measured distances to the nearest hospital offering emergency services, trauma care, obstetrics, outpatient surgery, intensive care, and cardiac care. Examining how spatial access to health care varies across geography is key to documenting structural inequalities in the United States.

Using administrative data from 2016 and regression analysis, the authors examined individual- and neighborhood-level racial, ethnic, and socioeconomic factors associated with the use of high-quality home health agencies.

This study examines the relationships between neighborhood police stop-and-frisk encounters and both health outcomes and violence rates in New Orleans, in an ecological, cross-sectional study using local police report data, Centers for Disease Control and Prevention data, and US Census data.

The authors present a guide to the data ecosystem used by health insurers to highlight where bias can arise along machine learning pipelines. The authors suggest mechanisms for identifying and dealing with bias, and discuss challenges and opportunities to increase fairness through analytics in the health insurance industry.

The authors assess racial and ethnic disparities in four experience-of-care metrics among Medicaid managed care enrollees and estimate the extent to which overall disparities may be attributed to within-plan disparities versus between-plan disparities.

This article highlights methodological approaches that will move the field forward in its ability to validly measure structural racism for the purposes of achieving health equity. The authors identify three key areas that require scholarly attention to advance anti-racist health policy research: historical context, geographical context, and theory-based novel quantitative and qualitative methods that capture the multifaceted and systemic properties of structural racism, as well as other systems of oppression.

The article focuses on two key examples of structural racism in the health context for Asian Americans: poor-quality data infrastructure and biases on the part of researchers, healthcare providers, and the public health community, fueled by pervasive stereotypes about the Asian American community (that is, model minority, perpetual foreigner, and healthy immigrant). The authors provide recommendations on how to implement systems-level change and educational reform to infuse racial equity in future policy and practice for Asian American communities.

In this report, the authors evaluate health equity across race and ethnicity, both within and between states, to illuminate how state health systems perform for Black, White, Latinx/Hispanic, American Indian/Alaska Native, and Asian American, Native Hawaiian, and Pacific Islander populations.

Panels of distinguished authors and experts presented their work at a virtual symposium in the February 2022 issue of Health Affairs, “Racism & Health.” They discussed the historical context, the evolving research practices and policies, and the lived experience of populations whose health has been harmed by individual and structural racism.

The authors assessed intent to be vaccinated and concerns among members of seven U.S. racial and ethnic groups (1,000 Black, 500 American Indian/Alaska Native, 1,000 Asian, 1,000 Latino [500 English-speaking and 500 Spanish-speaking], 500 Pacific Islander, 500 multiracial, and 1,000 White adults) in the COVID-19′s Unequal Racial Burden (CURB) survey conducted December 2020-February 2021.