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Measuring Coverage in MNCH: Determining and Interpreting Inequalities in Coverage of Maternal Newborn and Child Health Interventions

机译:衡量MNCH的覆盖率:确定和解释孕产妇新生儿和儿童健康干预的覆盖率不平等

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摘要

To monitor progress towards the Millennium Development Goals, it is essential to monitor the coverage of health interventions in subgroups of the population, because national averages can hide important inequalities. In this review, we provide a practical guide to measuring and interpreting inequalities based on surveys carried out in low- and middle-income countries, with a focus on the health of mothers and children. Relevant stratification variables include urban/rural residence, geographic region, and educational level, but breakdowns by wealth status are increasingly popular. For the latter, a classification based on an asset index is the most appropriate for national surveys. The measurement of intervention coverage can be made by single indicators, but the use of combined measures has important advantages, and we advocate two summary measures (the composite coverage index and the co-coverage indicator) for the study of time trends and for cross-country comparisons. We highlight the need for inequality measures that take the whole socioeconomic distribution into account, such as the relative concentration index and the slope index of inequality, although simpler measures such as the ratio and difference between the richest and poorest groups may also be presented for non-technical audiences. Finally, we present a framework for the analysis of time trends in inequalities, arguing that it is essential to study both absolute and relative indicators, and we provide guidance to the joint interpretation of these results.
机译:为了监测实现千年发展目标的进展,必须监测人口中亚健康干预措施的覆盖面,因为全国平均水平可能掩盖重要的不平等现象。在本次审查中,我们提供了基于在中低收入国家进行的调查,以衡量和解释不平等现象的实用指南,重点是母亲和儿童的健康。相关的分层变量包括城市/农村居民区,地理区域和教育程度,但是按财富状况划分的分类越来越受欢迎。对于后者,基于资产指数的分类最适合国家调查。干预覆盖率的测量可以通过单个指标来进行,但是组合测量的使用具有重要的优势,我们提倡两种汇总测量(复合覆盖指数和共同覆盖率指标)用于研究时间趋势和交叉趋势。国家比较。我们着重强调需要采取不平等措施来考虑整个社会经济分布,例如相对集中度指数和不平等的坡度指数,尽管对于非-技术观众。最后,我们提出了一个分析不平等时间趋势的框架,认为必须研究绝对指标和相对指标,并为这些结果的联合解释提供指导。

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