Objective This analysis seeks to set the stage for equity-sensitive monitoring of the health-related Millennium Development Goals (MDGs). Methods We use data from international household-level surveys (Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS)) to demonstrate that establishing an equity baseline is necessary and feasible, even in low-income and data-poor countries. We assess data from six countries using 11 health indicators and six social stratifiers. Simple bivariate stratification is complemented by simultaneous stratification to expose the compound effect of multiple forms of vulnerability. Findings The data reveal that inequities are complex and interactive: inferences cannot be drawn about the nature or extent of inequities in health outcomes from a single stratifier or indicator. Conclusion The MDGs and other development initiatives must become more comprehensive and explicit in their analysis and tracking of inequities. The design of policies to narrow health gaps must take into account country-specific inequities.
机构:
Columbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10032 USA
Columbia Univ, Mailman Sch Publ Hlth, Averting Maternal Death & Disabil Program, New York, NY 10032 USAColumbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10032 USA
Kruk, Margaret E.
Prescott, Marta R.
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Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York, NY 10032 USAColumbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10032 USA
Prescott, Marta R.
de Pinho, Helen
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Columbia Univ, Mailman Sch Publ Hlth, Averting Maternal Death & Disabil Program, New York, NY 10032 USAColumbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10032 USA
de Pinho, Helen
Galea, Sandro
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Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York, NY 10032 USAColumbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10032 USA