County-level racial bias is associated with worse care for white and especially black older US adults: a cross-sectional observational study

Objective: To assess the association of county-level bias about black and white people with patient experience, influenza immunisation, and quality of clinical care for black and white older US adults (age 65+ years).

Design: Linear multivariable regression measured the cross-sectional association of county-level estimates of implicit and explicit bias about black and white people with patient experiences, influenza immunisation, and clinical quality-of-care for black and white older US adults.

Participants: We used data from 1.9 million white adults who completed implicit and explicit bias measures during 2003-2018, patient experience and influenza immunisation data from respondents to the 2009-2017 Medicare Consumer Assessment of Healthcare Providers and Systems (MCAHPS) Surveys, and clinical quality-of-care data from patients whose records were included in 2009-2017 Healthcare Effectiveness Data and Information Set (HEDIS) submissions (n=0.8-2.9 million per measure).

Main outcome measures: Three patient experience measures and patient-reported influenza immunisation from the MCAHPS Survey; five HEDIS measures.

Results: In county-level models, higher pro-white implicit bias was associated with lower immunisation rates and worse scores for some patient experience measures for black and white adults as well as larger-magnitude black-white disparities. Higher pro-white implicit bias was associated with worse scores for some HEDIS measures for black and white adults but not with black-white disparities in clinical quality of care. Most significant associations were small in magnitude (effect sizes of 0.2-0.3 or less).

Conclusions: To the extent that county-level pro-white implicit bias is indicative of bias among healthcare providers, there may be a need for interventions designed to prevent such bias from adversely affecting the experiences and preventive care of black patients and the clinical quality of care for all patients.