Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.
PLoS Med. 2010 Apr 13;7(4):e1000253. doi: 10.1371/journal.pmed.1000253.
There has been increasing interest in measuring under-five mortality as a health indicator and as a critical measure of human development. In countries with complete vital registration systems that capture all births and deaths, under-five mortality can be directly calculated. In the absence of a complete vital registration system, however, child mortality must be estimated using surveys that ask women to report the births and deaths of their children. Two survey methods exist for capturing this information: summary birth histories and complete birth histories. A summary birth history requires a minimum of only two questions: how many live births has each mother had and how many of them have survived. Indirect methods are then applied using the information from these two questions and the age of the mother to estimate under-five mortality going back in time prior to the survey. Estimates generated from complete birth histories are viewed as the most accurate when surveys are required to estimate under-five mortality, especially for the most recent time periods. However, it is much more costly and labor intensive to collect these detailed data, especially for the purpose of generating small area estimates. As a result, there is a demand for improvement of the methods employing summary birth history data to produce more accurate as well as subnational estimates of child mortality.
We used data from 166 Demographic and Health Surveys (DHS) to develop new empirically based methods of estimating under-five mortality using children ever born and children dead data. We then validated them using both in- and out-of-sample analyses. We developed a range of methods on the basis of three dimensions of the problem: (1) approximating the average length of exposure to mortality from a mother's set of children using either maternal age or time since first birth; (2) using cohort and period measures of the fraction of children ever born that are dead; and (3) capturing country and regional variation in the age pattern of fertility and mortality. We focused on improving estimates in the most recent time periods prior to a survey where the traditional indirect methods fail. In addition, all of our methods incorporated uncertainty. Validated against under-five estimates generated from complete birth histories, our methods outperformed the standard indirect method by an average of 43.7% (95% confidence interval [CI] 41.2-45.2). In the 5 y prior to the survey, the new methods resulted in a 53.3% (95% CI 51.3-55.2) improvement. To illustrate the value of this method for local area estimation, we applied our new methods to an analysis of summary birth histories in the 1990, 2000, and 2005 Mexican censuses, generating subnational estimates of under-five mortality for each of 233 jurisdictions.
The new methods significantly improve the estimation of under-five mortality using summary birth history data. In areas without vital registration data, summary birth histories can provide accurate estimates of child mortality. Because only two questions are required of a female respondent to generate these data, they can easily be included in existing survey programs as well as routine censuses of the population. With the wider application of these methods to census data, countries now have the means to generate estimates for subnational areas and population subgroups, important for measuring and addressing health inequalities and developing local policy to improve child survival. Please see later in the article for the Editors' Summary.
人们越来越关注将五岁以下儿童死亡率作为健康指标和人类发展的关键衡量标准。在拥有完整生命登记系统的国家中,可以直接计算五岁以下儿童死亡率。然而,在没有完整生命登记系统的情况下,必须使用调查来估计儿童死亡率,调查要求妇女报告其子女的出生和死亡情况。有两种调查方法可以获取这些信息:摘要生育史和完整生育史。摘要生育史只需最少两个问题:每位母亲有多少活产,其中有多少存活。然后使用这两个问题和母亲的年龄信息应用间接方法来估计调查前回溯时间的五岁以下儿童死亡率。当需要调查来估计五岁以下儿童死亡率时,完整生育史产生的估计值被认为是最准确的,尤其是对于最近的时间段。然而,收集这些详细数据的成本和劳动力投入要大得多,特别是为了生成小区域估计值。因此,人们需要改进使用摘要生育史数据的方法,以生成更准确和次国家级别的儿童死亡率估计值。
我们使用来自 166 项人口与健康调查(DHS)的数据,开发了使用儿童总数和儿童死亡数据估计五岁以下儿童死亡率的新的基于经验的方法。然后,我们使用内部和外部样本分析对其进行了验证。我们基于问题的三个方面开发了一系列方法:(1)使用母亲的一组孩子的年龄或自首次生育以来的时间来近似母亲的死亡率暴露平均长度;(2)使用队列和时期的儿童总数死亡比例的指标;(3)捕捉国家和地区的生育率和死亡率的年龄模式的差异。我们专注于改进调查前最近时间段的估计值,在这个时间段传统的间接方法会失效。此外,我们所有的方法都包含了不确定性。与完整生育史产生的五岁以下儿童死亡率估计值相比,我们的方法平均提高了 43.7%(95%置信区间[CI]为 41.2-45.2)。在调查前的 5 年内,新方法的效果提高了 53.3%(95% CI 为 51.3-55.2)。为了说明这种方法在小区域估计中的价值,我们将新方法应用于对 1990 年、2000 年和 2005 年墨西哥人口普查中的摘要生育史的分析,为每个 233 个管辖区生成了五岁以下儿童死亡率的次国家级估计值。
新方法显著提高了使用摘要生育史数据估计五岁以下儿童死亡率的准确性。在没有生命登记数据的地区,摘要生育史可以提供准确的儿童死亡率估计值。由于女性受访者只需回答两个问题即可生成这些数据,因此它们可以很容易地包含在现有的调查方案以及人口普查中。随着这些方法在人口普查数据中的更广泛应用,各国现在有了手段来生成次国家级地区和人口分组的估计值,这对于衡量和解决健康不平等以及制定改善儿童生存的地方政策非常重要。请在文章后面查看编辑总结。