Police brutality, medical mistrust and unmet need for medical care.

Police brutality is a social determinant of health that can directly impact health status. Social determinants of health can also impact health indirectly by shaping how people access health care. In this study, we describe the relationship between perceived police brutality and an indicator of access to care, unmet need. We also examine medical mistrust as a potential mechanism through which perceived police brutality affects unmet need. Using data from the 2018 Survey of the Health of Urban Residents (N = 4,345), direct effects of perceived police brutality on unmet need and indirect effects through medical mistrust were obtained using the Karlson-Holm-Breen method of effect decomposition. Experiencing police brutality was associated with greater odds of unmet need. Controlling for covariates, 18 percent of the total effect of perceived police brutality on unmet need was explained by medical mistrust. Experiences outside of the health care system matter for access to care. Given the association between police brutality and unmet need for medical care, addressing unmet need among marginalized populations requires public health leaders to engage in conversations about reform of police departments. The coronavirus pandemic makes this even more critical as both COVID-19 and police brutality disproportionately impact Black, Indigenous, Latinx and other communities of color.

Survey of the Health of Urban Residents: a Community-Driven Assessment of Conditions Salient to the Health of Historically Excluded Populations in the USA.

BACKGROUND: Data from the Survey of the Health of Urban Residents (SHUR) identified connections between police brutality and medical mistrust, generating significant media, policy, and research attention. Amidst intersecting crises of COVID-19, racism, and police brutality, this report describes survey development and data collection procedures for the SHUR. BASIC PROCEDURES: We conducted focus groups with Black men, Latinxs, and immigrants in Allentown, Pennsylvania. Findings were used to develop and refine measures of conditions salient to the health of urban residents across the country. Quota sampling was employed; oversampling people of color and persons whose usual source of care was not a doctor's office. MAIN FINDINGS: Non-Hispanic Whites made up just under two thirds of the sample (63.65%, n = 2793). Black/African American respondents accounted for 14.2% of the sample (n = 623), while 11.62% (n = 510) were Latinx. Only 43.46% of respondents reported a doctor's office as their usual source of care. Novel measures of population-specific stressors include a range of negative encounters with the police, frequency of these encounters, and respondents' assessments of whether the encounters were necessary. SHUR assessed the likelihood of calling the police if there is a problem, worries about incarceration, and cause-specific stressors such as race-related impression management. PRINCIPAL CONCLUSIONS: SHUR (n = 4389) is a useful resource for researchers seeking to address the health implications of experiences not frequently measured by national health surveillance surveys. It includes respondents' zip codes, presenting the opportunity to connect these data with zip code-level health system, social and economic characteristics that shape health beyond individual factors.