Abstract

The aims of the paper are (i) to introduce a framework for reasoning about equity in health distribution before and after interventions, and (ii) to assess various Gini measures applied to healthy life expectancy against explicit normative concerns. Part 1 discusses different ways of measuring pure health inequality and suggests that a modified Gini measure could be used to measure inequity in health before and after treatment. Part 2 introduces a framework for reasoning about distributions of health. Part 3 discusses three normative concerns that any acceptable measure of inequity should satisfy. Part 4 describes the standard Gini measure for measuring pure inequalities in healthy life expectancy. It also examines Wagstaff's Extended Gini measure of health inequity and discusses how it can be used to make priority weights to the worst off explicit. The final section expresses some programmatic worries and possible applications. It is argued that the impact of interventions should be evaluated both in terms of reduced inequity (as measured by the Extended Gini or the Extended Proportional Gini) and improved efficiency (measured by gains in average healthy life expectancy). Measurement of pure health inequity could supplement cost-effectiveness analysis as a basis for fair priority setting