Most health care providers appear to have implicit bias in terms of positive attitudes toward Whites and negative attitudes toward people of color. Future studies need to employ more rigorous methods to examine the relationships between implicit bias and health care outcomes. Interventions targeting implicit attitudes among health care professionals are needed because implicit bias may contribute to health disparities for people of color.

This article describes a school-based study designed to promote social competence and reduce aggressive behavior by strengthening children's skills in processing social information and regulating emotions. Three successive cohorts of 3rd graders (N = 548) from 2 schools participated. In 2000-2001, children received a routine health curriculum; in 2001-2002, students received the Making Choices: Social Problem Solving Skills for Children (MC) program; and in 2002-2003, children received MC supplemented with teacher and parent activities. Compared with children in the routine condition, children in both MC conditions were rated lower on posttest social and overt aggression and higher on social competence. Moreover, they scored significantly higher on an information-processing skills posttest. The findings suggest that prevention programs can strengthen social- emotional skills and produce changes in aggressive behavior.

Background. In the United States, people of color face disparities in access to health care, the quality of care received, and health outcomes. The attitudes and behaviors of health care providers have been identified as one of many factors that contribute to health disparities. Implicit attitudes are thoughts and feelings that often exist outside of conscious awareness, and thus are difficult to consciously acknowledge and control. These attitudes are often automatically activated and can influence human behavior without conscious volition. Objectives. We investigated the extent to which implicit racial/ethnic bias exists among health care professionals and examined the relationships between health care professionals’ implicit attitudes about racial/ethnic groups and health care outcomes. Search Methods. To identify relevant studies, we searched 10 computerized bibliographic databases and used a reference harvesting technique. Selection Criteria. We assessed eligibility using double independent screening based on a priori inclusion criteria. We included studies if they sampled existing health care providers or those in training to become health care providers, measured and reported results on implicit racial/ethnic bias, and were written in English. Data Collection and Analysis. We included a total of 15 studies for review and then subjected them to double independent data extraction. Information extracted included the citation, purpose of the study, use of theory, study design, study site and location, sampling strategy, response rate, sample size and characteristics, measurement of relevant variables, analyses performed, and results and findings. We summarized study design characteristics, and categorized and then synthesized substantive findings. Main Results. Almost all studies used cross-sectional designs, convenience sampling, US participants, and the Implicit Association Test to assess implicit bias. Low to moderate levels of implicit racial/ethnic bias were found among health care professionals in all but 1 study. These implicit bias scores are similar to those in the general population. Levels of implicit bias against Black, Hispanic/Latino/Latina, and dark-skinned people were relatively similar across these groups. Although some associations between implicit bias and health care outcomes were nonsignificant, results also showed that implicit bias was significantly related to patient–provider interactions, treatment decisions, treatment adherence, and patient health outcomes. Implicit attitudes were more often significantly related to patient–provider interactions and health outcomes than treatment processes. Conclusions. Most health care providers appear to have implicit bias in terms of positive attitudes toward Whites and negative attitudes toward people of color. Future studies need to employ more rigorous methods to examine the relationships between implicit bias and health care outcomes. Interventions targeting implicit attitudes among health care professionals are needed because implicit bias may contribute to health disparities for people of color.

Structured risk assessment instruments are increasingly used in juvenile justice systems to support judicial decision making. They help juvenile justice authorities identify youths with a higher likelihood of repeat delinquency and reduce discretion associated with disposition decision making. To be effective, these instruments should be accurate across diverse populations. This study describes the predictive validity of the North Carolina Assessment of Risk (NCAR) in a sample of 9,534 adjudicated juveniles in North Carolina. Results show the predictive validity of the NCAR to differ by gender and race/ethnicity. Closer inspection reveals that risk factors for recidivism differed according to demographic group and that brief risk assessment instruments such as the NCAR leave other risk factors unmeasured. The results support the utility of risk assessment for juvenile justice decision making and suggest strategies to improve the validity of risk assessment for all offender groups.

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