| Engage community members and partners from other sectors |
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Include community members and academic partners outside of health care, including education, transportation, environmental services, housing, etc., in the design, evaluation, and preparation of grant applications.
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Work with communities to understand context and to identify possible unintended consequences.
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| Study design/framework |
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Apply dissemination and implementation research frameworks that will allow the community partners and researchers to evaluate the barriers to and the outcome of implementing interventions to address systemic racism.
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Take advantage of “natural experiment” study design that can provide an opportunity to study the impacts of a policy implementation.
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Incorporate an antiracism lens and frameworks in a variety of methodologic approaches (e.g., epidemiology, randomized controlled trials).
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| Choose effective intervention methodology |
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Implement multisector interventions that allow investigators to analyze the impacts of systemic upstream (e.g., policy) factors and downstream (e.g., housing) factors that affect health outcomes.
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Use an antiracism lens to evaluate the effects of racism on the process and the outcomes of the study.
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| Evaluation: data |
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Collect accurate self-identified race, ethnicity, ethnic background, and language data in the electronic health record and research databases.
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Collect additional data on socially assigned race.
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Consider collecting data from more than one sector to elucidate the systemic impacts (e.g., air quality, housing violations, and hospitalizations in the same census track).
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Collect data to understand the impacts of racism and unintended consequences from study enrollment and from the intervention.
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Collect data to show community-defined success in short- and long-term goals.
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Collect data to support policies identifying structural changes needed to address root causes of race-associated disparities.
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| Evaluation: methods |
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