Data and Analytics Section, UN Children's Fund, New York, NY, USA.
University of Toronto, Toronto, ON, Canada.
Lancet Glob Health. 2019 Jun;7(6):e710-e720. doi: 10.1016/S2214-109X(19)30163-9.
Reducing neonatal mortality is an essential part of the third Sustainable Development Goal (SDG), to end preventable child deaths. To achieve this aim will require an understanding of the levels of and trends in neonatal mortality. We therefore aimed to estimate the levels of and trends in neonatal mortality by use of a statistical model that can be used to assess progress in the SDG era. With these estimates of neonatal mortality between 1990 and 2017, we then aimed to assess how different targets for neonatal mortality could affect the burden of neonatal mortality from 2018 to 2030.
In this systematic analysis, we used nationally-representative empirical data related to neonatal mortality, including data from vital registration systems, sample registration systems, and household surveys, to estimate country-specific neonatal mortality rates (NMR; the probability of dying during the first 28 days of life) for all countries between 1990 (or the earliest year of available data) and 2017. For our analysis, we used all publicly available data on neonatal mortality from databases compiled annually by the UN Inter-agency Group for Child Mortality Estimation, which were extracted on or before July 31, 2018, for data relating to the period between 1950 and 2017. All nationally representative data were assessed. We used a Bayesian hierarchical penalised B-splines regression model, which allowed for data from different sources to be weighted differently, to account for variable biases and for the uncertainty in NMR to be assessed. The model simultaneously estimated a global association between NMR and under-5 mortality rate and country-specific and time-specific effects, which enabled us to identify countries with an NMR that was higher or lower than expected. Scenario-based projections were made at the county level by use of current levels of and trends in neonatal mortality and historic or annual rates of reduction that would be required to achieve national targets. The main outcome that we assessed was the levels of and trends in neonatal mortality and the global and regional NMRs from 1990 to 2017.
Between 1990 and 2017, the global NMR decreased by 51% (90% uncertainty interval [UI] 46-54), from 36·6 deaths per 1000 livebirths (35·5-37·8) in 1990, to 18·0 deaths per 1000 livebirths (17·0-19·9) in 2017. The estimated number of neonatal deaths during the same period decreased from 5·0 million (4·9 million-5·2 million) to 2·5 million (2·4 million-2·8 million). Annual NMRs vary widely across the world, but west and central Africa and south Asia had the highest NMRs in 2017. All regions have reported reductions in NMRs since 1990, and most regions accelerated progress in reducing neonatal mortality in 2000-17 versus 1990-2000. Between 2018 and 2030, we project that 27·8 million children will die in their first month of life if each country maintains its current rate of reduction in NMR. If each country achieves the SDG neonatal mortality target of 12 deaths per 1000 livebirths or fewer by 2030, we project 22·7 million cumulative neonatal deaths by 2030. More than 60 countries need to accelerate their progress to reach the neonatal mortality SDG target by 2030.
Although substantial progress has been made in reducing neonatal mortality since 1990, increased efforts to improve progress are still needed to achieve the SDG target by 2030. Accelerated improvements are most needed in the regions and countries with high NMR, particularly in sub-Saharan Africa and south Asia.
Bill & Melinda Gates Foundation, United States Agency for International Development.
降低新生儿死亡率是实现第三个可持续发展目标(SDG)的重要组成部分,即结束可预防的儿童死亡。要实现这一目标,就需要了解新生儿死亡率的水平和趋势。因此,我们旨在利用可以评估 SDG 时代进展的统计模型来估计新生儿死亡率的水平和趋势。有了 1990 年至 2017 年之间的新生儿死亡率估计值,我们接着评估不同的新生儿死亡率目标如何影响 2018 年至 2030 年新生儿死亡率的负担。
在这项系统分析中,我们使用与新生儿死亡率相关的具有代表性的国家数据,包括来自生命登记系统、抽样登记系统和家庭调查的数据,来估计所有国家 1990 年(或最早可获得数据的年份)至 2017 年之间的特定国家新生儿死亡率(NMR;生命第一 28 天内死亡的概率)。对于我们的分析,我们使用了由联合国儿童死亡率估计机构间小组每年汇编的关于新生儿死亡率的所有公开数据,这些数据是在 2018 年 7 月 31 日或之前提取的,数据涉及 1950 年至 2017 年期间。所有具有国家代表性的数据都进行了评估。我们使用贝叶斯分层惩罚 B 样条回归模型,该模型允许不同来源的数据加权不同,以考虑到变量偏差,并评估 NMR 的不确定性。该模型同时估计了 NMR 与五岁以下儿童死亡率之间的全球关联以及国家特定和时间特定的影响,这使我们能够识别 NMR 高于或低于预期的国家。通过使用当前的新生儿死亡率水平和趋势以及实现国家目标所需的历史或年度降低率,在县级进行了基于情景的预测。我们评估的主要结果是 1990 年至 2017 年期间的新生儿死亡率水平和趋势以及全球和区域 NMR。
1990 年至 2017 年间,全球 NMR 下降了 51%(90%置信区间[UI]为 46-54%),从 1990 年的每 1000 例活产 36.6 例死亡(35.5-37.8)降至 2017 年的每 1000 例活产 18.0 例死亡(17.0-19.9)。同期估计新生儿死亡人数从 500 万(490 万至 520 万)降至 250 万(240 万至 280 万)。全球范围内,各国的年度 NMR 差异很大,但 2017 年西非和中非以及南亚的 NMR 最高。自 1990 年以来,所有地区都报告了 NMR 的下降,并且大多数地区在 2000-17 年比 1990-2000 年加快了降低新生儿死亡率的速度。如果每个国家都保持目前的 NMR 降低速度,那么我们预计 2018 年至 2030 年间将有 2780 万儿童在他们的第一个月内死亡。如果每个国家都实现了 2030 年新生儿死亡率目标,即每 1000 例活产 12 例以下,我们预计到 2030 年将累计有 2270 万新生儿死亡。60 多个国家需要加快进度,以实现到 2030 年的新生儿死亡率 SDG 目标。
自 1990 年以来,新生儿死亡率的降低取得了重大进展,但仍需要加大努力以实现 2030 年的 SDG 目标。在 NMR 较高的地区和国家,特别是在撒哈拉以南非洲和南亚,需要加速改进。
比尔和梅琳达·盖茨基金会,美国国际开发署。