Background: The current national measure set for the quality of health care underrepresents the spectrum of outpatient care and makes limited use of readily available national ambulatory care survey data.

Methods:We examined 23 outpatient quality indicators in 1992 and again in 2002 to measure overall performance and racial/ethnic disparities in outpatient care in the United States. The National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey yielded information about ambulatory services provided in private physician offices and hospital outpatient departments, respectively. Quality indicator performance was defined as the percentage of applicable visits receiving appropriate care.

Results: In 2002, mean performance was 50% or more of applicable visits for 12 quality indicators, 7 of which were in the areas of appropriate antibiotic use and avoiding unnecessary routine screening. The performance of the remaining 11 indicators ranged from 15% to 42%. Overall, changes between 1992 and 2002 were modest, with significant improvements in 6 indicators: treatment of depression (47% vs 83%), statin use for hyperlipidemia (10% vs 37%), inhaled corticosteroid use for asthma in adults (25% vs 42%) and children (11% vs 36%), avoiding routine urinalysis during general medical examinations (63% vs 73%), and avoiding inappropriate medications in the elderly (92% vs 95%). After adjusting for potential confounders, race/ethnicity did not seem to affect quality indicator performance, except for greater angiotensin-converting enzyme inhibitor use for congestive health failure among blacks and less unnecessary antibiotic use for uncomplicated upper respiratory tract infections among whites.

Conclusions: Measurable quality deficits and modest improvements across time call for greater adherence to evidence-based medicine in US ambulatory settings. Although significant racial disparities have been described in a variety of settings, we observed that similar, although less than optimal, care is being provided on a per-visit basis regardless of patient racial/ethnic background.

Purpose:

To assess utilities of composite health states for dependence in activities of daily living (ADLs) for invariance (i.e., when subjects provide a utility of 1 for all health states) and order inconsistency (i.e., when subjects order their utilities such that their utility for a combination of ADL dependencies is greater than their utility for any subset of the combination).

Methods:

Each of the 400 subjects, age 65 and older, enrolled in one of several regional medical centers of the Kaiser Permanente Medical Care Program of Northern California and provided standard-gamble utilities for single ADL dependencies (e.g., bathing, dressing, continence) and for dependence in 8 other combinations of ADL dependencies. For order-inconsistent responses, the authors calculated the maximum magnitude of inconsistency as the maximum difference between the utility for the combined ADL dependence health state and that of its inconsistent subset.

Results:

A total of 76 subjects (19%) gave a utility of 1.0 for all health states presented to them; 19 (5%) gave the same utility other than 1.0 for all health states; 130 (33%) gave at least 1 utility 1.0 and had no order inconsistencies; and 175 (44%) had at least 1 order inconsistency. Invariance was associated with a Mini-Mental Status Examination score 28.6 (P = 0.01), with education 12 y (P = 0.004), with race/ethnicity other than non-Hispanic White/Caucasian (P = 0.001), and with shorter time spent on the utility elicitation task (P 0.0001). Among the inconsistent subjects, 69% had a maximal magnitude of inconsistency that was within 1 standard deviation of the mean utilities. The maximal magnitude of inconsistency was associated with longer time spent on the elicitation task (P 0.0001) and race/ethnicity other than non-Hispanic White/Caucasian (P = 0.005). The mean (s) utility for dependence in continence among consistent subjects who were not invariant (0.88 [0.24]) was higher than among inconsistent subjects (0.80 [0.27]; P = 0.01).

Conclusions:

Invariance and order inconsistencies in utility ratings for complex health states occur frequently. Utilities of consistent subjects may differ from those of inconsistent subjects. Utility assessments should attempt to measure and report these patterns.