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Objective: To investigate whether poverty and lack of insurance are associated with perceived racial and ethnic bias in health care., Data Source: 2001 Survey on Disparities in Quality of Health Care, a nationally representative telephone survey. We use data on black, Hispanic, and white adults who have a regular physician (N=4,556)., Study Design: We estimate multivariate logistic regression models to examine the effects of poverty and lack of health insurance on perceived racial and ethnic bias in health care for all respondents and by racial, ethnic, and language groups., Principal Findings: Controlling for sociodemographic and other factors, uninsured blacks and Hispanics interviewed in English are more likely to report racial and ethnic bias in health care compared with their privately insured counterparts. Poor whites are more likely to report racial and ethnic bias in health care compared with other whites. Good physician-patient communication is negatively associated with perceived racial and ethnic bias., Conclusions: Compared with their more socioeconomically advantaged counterparts, poor whites, uninsured blacks, and some uninsured Hispanics are more likely to perceive that racial and ethnic bias operates in the health care they receive. Providing health insurance for the uninsured may help reduce this perceived bias among some minority groups.

Objectives: To examine whether fiduciary trust in a physician is related to unmet health care needs and delayed care among patients who have a regular physician, and to investigate whether the relationships between trust and unmet health care needs and delays in care are attenuated for disadvantaged patients who face structural obstacles to obtaining health care., Data Sources/study Setting: The 1998-1999 Community Tracking Study (CTS) Household Survey, a cross-sectional sample representative of the U.S. noninstitutionalized population. This study analyzes adults who usually see the same physician for their health care (n = 29,994)., Study Design: We estimated logistic regression models of the association of trust with unmet health care needs and delayed care. We tested interactions between trust and barriers to obtaining care, including minority race/ethnicity, poverty, and the absence of health insurance. Control variables included patients' sociodemographic characteristics, health status, satisfaction with the available choice of primary physicians, and the number of physician visits during the last year., Principal Findings: Patients' fiduciary trust in a physician is negatively associated with the likelihood of reporting delayed care and unmet health care needs among most patients. Among African Americans, Hispanics, the poor, and the uninsured, however, fiduciary trust is not significantly associated with the likelihood of delayed care. For unmet needs, only the uninsured have no significant association with trust., Conclusions: Results show that trust is associated with improved chances of getting needed care across most subgroups of the population, although this relationship varies by subpopulation.