Using HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems, also known as the CAHPS Hospital Survey) data from 2,684 hospitals, the authors compare the experiences of Hispanic, African American, Asian/Pacific Islander, American Indian/Alaska Native, and multiracial inpatients with those of non-Hispanic White inpatients to understand the roles of between- and within-hospital differences in patients' perspectives of hospital care. The study finds that, on average, non-Hispanic White inpatients receive care at hospitals that provide better experiences for all patients than the hospitals more often used by minority patients. Within hospitals, patient experiences are more similar by race/ethnicity, though some disparities do exist, especially for Asians. This research suggests that targeting hospitals that serve predominantly minority patients, improving the access of minority patients to better hospitals, and targeting the experiences of Asians within hospitals may be promising means of reducing disparities in patient experience.

Prior research documents differences in patient-reported experiences by patient characteristics. Using nine measures of patient experience from 1,203,229 patients discharged in 2006-2007 from 2,684 acute and critical access hospitals, the authors find that adjusted hospital scores measure distinctions in quality for the average patient with high reliability. The authors also find that hospital "ranks" (the relative scores of hospitals for patients of a given type) vary substantially by patient health status and race/ ethnicity/language, and moderately by patient education and age (p < .05 for almost all measures). Quality improvement efforts should examine hospital performance with both sicker and healthier patients, because many hospitals that do well with one group (relative to other hospitals) may not do well with another. The experiences of American Indians/Alaska Natives should also receive particular attention. As HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) data accumulate, reports that drill down to hospital performance for patient subtypes (especially by health status) may be valuable.

For the health behaviors we examined, Asian adolescents' health behaviors either improved with each generation or remained better than that of Whites. Latino adolescents demonstrated generally worse preventive health behaviors than did Whites and, in the case of nutrition, a worsening across generations. Targeted interventions may be needed to address behavioral disparities.

Objective. Adjust for subgroup differences in extreme response tendency (ERT) in ratings of health care, which otherwise obscure disparities in patient experience. Data Source. 117,102 respondents to the 2004 Consumer Assessment of Healthcare Providers and Systems (CAHPS) Medicare Fee-for-Service survey. Study Design. Multinomial logistic regression is used to model respondents' use of extremes of the 0-10 CAHPS rating scales as a function of education. A new two-stage model adjusts for both standard case-mix effects and ERT. Ratings of subgroups are compared after these adjustments. Principal Findings. Medicare beneficiaries with greater educational attainment are less likely to use both extremes of the 0-10 rating scale than those with less attainment. Adjustments from the two-stage model may differ substantially from standard adjustments and resolve or attenuate several counterintuitive findings in subgroup comparisons. Conclusions. Addressing ERT may be important when estimating disparities or comparing providers if patient populations differ markedly in educational attainment. Failures to do so may result in misdirected resources for reducing disparities and inaccurate assessment of some providers. Depending upon the application, ERT may be addressed by the two-stage approach developed here or through specified categorical or stratified reporting.