Wirth Meg E, Balk Deborah, Delamonica Enrique, Storeygard Adam, Sacks Emma, Minujin Alberto
Task Force 4, Child Health and Maternal Health, UN Millennium Project, and Center for International Earth Science Information Network, Columbia University, Palisades, NY 10964, USA.
Bull World Health Organ. 2006 Jul;84(7):519-27. doi: 10.2471/blt.04.019984.
This analysis seeks to set the stage for equity-sensitive monitoring of the health-related Millennium Development Goals (MDGs).
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.
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.
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.
本分析旨在为对与健康相关的千年发展目标(MDGs)进行公平性敏感监测奠定基础。
我们使用国际家庭层面调查(人口与健康调查(DHS)和多指标类集调查(MICS))的数据来证明,即使在低收入和数据匮乏的国家,建立公平性基线也是必要且可行的。我们使用11项健康指标和6个社会分层变量评估来自6个国家的数据。简单的双变量分层辅以同时分层,以揭示多种形式的脆弱性的复合效应。
数据显示不平等现象复杂且相互作用:不能从单一分层变量或指标推断健康结果不平等的性质或程度。
千年发展目标和其他发展倡议在分析和跟踪不平等现象时必须更加全面和明确。缩小健康差距的政策设计必须考虑到各国特有的不平等现象。