How are all of the different subgroups, outcomes, and life stages weighted in combining all these measures into an overall grade for health disparity?
Within every life stage, each subgroup with available data contributed equally to the calculation of the life stage disparity grade. However, because there were not equal numbers of subgroups within each domain (gender, education, type of county, race/ethnicity), the domains are not given equal weight in the life stage disparity grade. For example, for infants there are four subgroups under “type of county” and only two subgroups under “gender,” so the domain of type of county contributes twice as much to the calculation of the life stage disparity grade as the domain of gender. In addition, subgroup data are not available for some racial/ethnic groups in every life stage and for the education domain for children and young adults; only the subgroups with available data were included in the life stage health disparity calculations. In calculating the overall health disparity grade for Wisconsin, the four life stage health disparity grades were given equal weight.
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