We all recognize that disparities exist in both health and health care. The term health care disparities indicates differences in the quality of health care between population groups. Health disparities are differential burdens of disease among different populations. A Medicaid demonstration project across managed care plans in six states looked at differences in HEDIS and HEDIS-like results among different racial and ethnic groups. Essentially the HEDIS data were coded for racial and/or ethnic group affiliation and analyzed by group. Of the 12 plans participating in the study, 11 reported at least one disparity between groups. And 10 of the 11 plans finding a disparity found more than one. A few of the health care disparities included more frequent Hemoglobin A1c testing for Caucasians with diabetes than African-Americans and Latinos and higher rates of glycemic control among Caucasians than among African-Americans and Latinos; higher rates of appropriate medication use among Caucasians with asthma than among African-Americans and Latinos; and more frequent prenatal care for Caucasians than African Americans and Latinos. The Centers for Disease Control, in an analysis of data from the 2003 Behavioral Risk Factor Surveillance System survey, found that approximately 37% of the survey population had two or more risk factors for heart disease and stroke. However there were considerable differences among groups with 49% of African-Americans, 47% of American Indians/Alaska Natives; 40% of Hispanics, 35% of non-Hispanic Caucasians and 29% of Asians having two or more risk factors. In future blogs I’ll talk about some of the reasons for differences in health disparities and health care disparities. In the meantime, I invite you to review NCQA’s draft standards for Culturally and Linguistically Appropriate Services which are available for public comment until January 16, 2009.
If you take a look at those draft standards, you’ll find a requirement to use data to identify disparities that looks very similar to the Medicaid HEDIS study I described. The draft standard looks like this: The organization uses race/ethnicity and language data and the following methods to determine if health care disparities exist. 1. Stratifying one or more HEDIS or other clinical performance measures by race/ethnicity 2. Stratifying one or more HEDIS or other clinical performance measures by language 3. Stratifying one or more CAHPS or other member experience measures by race/ethnicity or language 4. Comparing performance data for racial, ethnic or linguistic subgroups against a pre-defined reference group The proposed scoring algorithm requires all four components for a score of 100%.