A systemic approach to the psychology of racial bias within individuals and society

Transmission of social bias through observational learning

People often rely on social learning-learning by observing others' actions and outcomes-to form preferences in advance of their own direct experiences. Although typically adaptive, we investigated whether social learning may also contribute to the formation and spread of prejudice. In six experiments (n = 1550), we demonstrate that by merely observing interactions between a prejudiced actor and social group members, observers acquired the prejudices of the actor. Moreover, observers were unaware of the actors' bias, misattributing their acquired group preferences to the behavior of group members, despite identical behavior between groups. Computational modeling revealed that this effect was due to value shaping, whereby one's preferences are shaped by another's actions toward a target, in addition to the target's reward feedback. These findings identify social learning as a potent mechanism of prejudice formation that operates implicitly and supports the transmission of intergroup bias.

How Can Debiasing Research Aid Efforts to Reduce Discrimination?

PUBLIC ABSTRACT

Scientists studying intergroup biases are often concerned with lessening discrimination (unequal treatment of one social group versus another), but many interventions for reducing such biased behavior have weak or limited evidence. In this review article, we argue one productive avenue for reducing discrimination comes from adapting interventions in a separate field-judgment and decision-making-that has historically studied "debiasing": the ways people can lessen the unwanted influence of irrelevant information on decision-making. While debiasing research shares several commonalities with research on reducing intergroup discrimination, many debiasing interventions have relied on methods that differ from those deployed in the intergroup bias literature. We review several instances where debiasing principles have been successfully applied toward reducing intergroup biases in behavior and introduce other debiasing techniques that may be well-suited for future efforts in lessening discrimination.

National Institutes of Health R-series Grants portfolio of racism and healthcare, 2017-2022

BACKGROUND

Any form of racism in healthcare is an unacceptable barrier to receiving equitable and quality care, further contributing to health disparities among populations. For these reasons, it is critical to have a better understanding on the amount of research and scientific advances of funded projects aimed at racism in healthcare. An examination of the distribution of R-series funded research by the National Institutes of Health (NIH) on racism in healthcare during a 5-year fiscal year (FY) period (2017-2022) was conducted by the study team.

METHODS

This cross-sectional study used publicly available data from the NIH RePORTER (Research Portfolio Online Reporting Tools: Expenditures and Results) for research project grants awarded on racism and healthcare during the FYs of 2017 to 2022. The number of R-series NIH funded projects on racism in healthcare were examined, including the abstract and public health relevance statement, number of publications, spending category, fiscal start and end dates, total amount of funding each year, funding agency/center(s), and type of funding opportunity announcements. Descriptive statistics were performed on the data by the research team.

RESULTS

There were a total of 93 R-series grants funded during the FYs of 2017 to 2022. Most of the grants were R01s (77.4%); focused primarily on racism at the system-wide level (68.8%), and on patients (64.5%); the largest racial and ethnic minority group reported were African/American/Black (20.4%); and close to 40% did not report race or ethnicity. None of the grants focused in internalized racism, which is at the individual -level. From the FYs of 2017 to 2022, 0.07% of all NIH research funding was awarded to racism in healthcare.

CONCLUSION

The findings of this study showed the need for continued funding and of the need of more research on racism in healthcare, that potentially can reduce health disparities and inequities.