Measuring International Health Inequalities and Socioeconomic Status Using Household Survey Data

Abstract

The methods underlying the quantification of health inequalities have profound consequences for measuring progress in achieving health for all. In Chapter two, associations between household wealth indices, income, and consumption were systematically compiled and different methods of wealth index calculation were evaluated for appropriateness of use in a variety of settings. Researchers are presented with a synthesis of existing evidence about the appropriateness of use of wealth indices in urban and rural areas, their robustness to changes in the asset mix, future applications, and advantages and disadvantages of primary competing methods of quantifying SES using household survey data. In Chapter three, international microdata were analyzed to evaluate how magnitudes of health inequality are affected by different methods of quantifying household socioeconomic status (SES), including income, consumption, and asset wealth. In Chapter four, the need for a transnational approach to measuring health inequalities was justified and the new method was developed using an empirical example. Substantively, these chapters develop the most complete evaluation of the association between the asset wealth, consumption, and income using both critical interpretive synthesis and microdata analysis, as well as the first meta-analysis evaluating changes in health inequality magnitudes according to the SES measure used over time and across country-income levels. The transnational analysis of health inequalities uncovered previously hidden health disparities in the island of Hispaniola, and detailed instructions for all methodological aspects of the new method were presented. The distribution of disease between nations, subnational regions, and urban-rural areas in Hispaniola were analyzed from 1994 to 2013, and the first relative geospatial wealth ranking between Haiti and the Dominican Republic was presented. Global health researchers should strive to measure the equity of health between people, and this sometimes requires analyzing populations that are not neatly contained by national boundaries.