Pande Rohini P, Yazbeck Abdo S
International Center for Research on Women, 1717 Massachusetts Ave, NW, Suite 302, Washington, DC 20036, USA.
Soc Sci Med. 2003 Dec;57(11):2075-88. doi: 10.1016/s0277-9536(03)00085-6.
Recent attention to Millennium Development Goals by the international development community has led to the formation of targets to measure country-level achievements, including achievements on health status indicators such as childhood immunization. Using the example of immunization in India, this paper demonstrates the importance of disaggregating national averages for a better understanding of social disparities in health. Specifically, the paper uses data from the India National Family Health Survey 1992-93 to analyze socioeconomic, gender, urban-rural and regional inequalities in immunization in India for each of the 17 largest states. Results show that, on average, southern states have better immunization levels and lower immunization inequalities than many northern states. Wealth and regional inequalities are correlated with overall levels of immunization in a non-linear fashion. Gender inequalities persist in most states, including in the south, and seem unrelated to overall immunization or the levels of other inequalities measured here. This suggests that the gender differentials reflect deep-seated societal factors rather than health system issues per se. The disaggregated information and analysis used in this paper allows for setting more meaningful targets than country averages. Additionally, it helps policy makers and planners to understand programmatic constraints and needs by identifying disparities between sub-groups of the population, including strong and weak performers at the state and regional levels.
国际发展界近期对千年发展目标的关注促使人们制定了衡量国家层面成就的目标,包括在诸如儿童免疫等健康状况指标方面的成就。本文以印度的免疫情况为例,说明了分解全国平均数据对于更好地理解健康方面的社会差异的重要性。具体而言,本文利用1992 - 1993年印度全国家庭健康调查的数据,分析了印度17个最大邦各自在免疫方面的社会经济、性别、城乡和地区不平等情况。结果显示,平均而言,南部各邦的免疫水平较高,且免疫不平等程度低于许多北部邦。财富和地区不平等与免疫总体水平呈非线性相关。性别不平等在大多数邦持续存在,包括南部各邦,而且似乎与总体免疫情况或此处衡量的其他不平等程度无关。这表明性别差异反映的是深层次的社会因素,而非卫生系统本身的问题。本文所采用的分解信息和分析方法有助于设定比全国平均数据更有意义的目标。此外,它有助于政策制定者和规划者通过识别不同人群亚组之间的差异,包括邦和地区层面表现好与差的情况,来理解方案实施中的制约因素和需求。