Documenting and archiving the Annual Health Survey of maternal and child outcomes

项目摘要 尽管全球在孕产妇和儿童健康方面取得了进展，但改善情况并不均衡：一些区域 早期死亡率下降缓慢。印度北方就是这样一个地区，那里的产前护理很少见; 医院分娩并不普遍;在某些地方，五岁以下儿童死亡率仍然高达十分之一。 现有数据往往是发展中国家的高度汇总数据，无法解释这种差异。这 该项目旨在准备，记录和存档一个新的数据集，以加深研究人员对 这些趋势和答案在孕产妇和儿童健康领域的开放问题。年度健康调查 (AHS)从印度9个高死亡率、高生育率邦的大约400万个家庭收集。 有三波数据收集的结果面板数据集超过1200万观察。的 AHS数据为加深对健康和健康政策的理解提供了巨大的希望：面板结构 与之前的横截面妇幼保健数据集相比，数据的有效性将允许更好的因果推理。此外，AHS 数据可以与其他数据集相匹配，例如NICHD资助的IHDS-II和USAID资助的NFHS- 2015年，了解社会力量，如性别歧视或卫生政策，如有条件的 现金转移支付促进住院分娩对妇幼保健产生了影响。该提案概述了一项计划， 科学界可以使用和获取的宝贵的AHS数据。 该项目旨在：（目标1）准备、清理和记录AHS数据。AHS的大部分数据已经 它是公开的，但在其目前的格式是很难使用。该项目将：（1）清理并合并 面板数据，（2）匹配各轮的观察结果，（3）使用人口普查地区代码将AHS地区与 NHFS-2015和IHDS-II，（4）创建带有变量和值标签的Stata数据集，（5）创建元数据，（6） 创建AHS用户指南，以及（7）创建可变码本。(Aim 2）将AHS与NICHD存档- 支持人口研究数据共享倡议，并增加向 研究社区。PI和印度合作者将在社会科学和 公共卫生研究人员通过博客文章和文章，在PAA年会上，在 IFPRI，新德里，并通过网络研讨会。 鉴于AHS样本的规模很大，数据的面板结构，以及这些数据可以 回答有关发展中地区妇幼保健的公开问题， 在使AHS数据可供科学界使用和访问方面的投资健康程度很高。

Project Summary Despite global progress in maternal and child health, improvements have been uneven: some regions have only seen slow reductions in early-life mortality. One such region is northern India, where prenatal care is rare; hospital birth is not universal; and the under-five mortality rate is still as high as 1 in 10 in some places. Existing data, which are often highly aggregated in developing countries, cannot explain such disparities. This project aims to prepare, document, and archive a new dataset that will deepen researchers' understanding of these trends and answer open questions in the area of maternal and child health. The Annual Health Survey (AHS) was collected from approximately 4 million households in 9 high-mortality, high-fertility states of India. There were three waves of data collection for a resulting panel dataset of over 12 million observations. The AHS data hold enormous promise for deepening understanding of health and health policy: the panel structure of the data would permit better causal inference than prior cross-sectional MCH datasets. Further, the AHS data can be matched to other datasets, such as the NICHD-funded IHDS-II and the USAID-funded NFHS- 2015, to understand how social forces such as gender discrimination or health policies such as a conditional cash transfer to promote hospital birth have impacted MCH. This proposal outlines a plan to make the valuable AHS data usable and accessible to the scientific community. The project aims to: (Aim 1) Prepare, clean, and document the AHS data. Much of the AHS data is already publicly available, but in its current format it is very difficult to use. This project will: (1) clean and merge the panel data, (2) match observations across rounds, (3) use Census district codes to match AHS districts to the NHFS-2015 and the IHDS-II, (4) create Stata datasets with variable and value labels, (5) create metadata, (6) create an AHS user's guide, and (7) create a variable codebook. (Aim 2) Archive the AHS with the NICHD- supported Data Sharing for Demographic Research (DSDR) initiative and increase dissemination to the research community. The PI and an Indian collaborator will publicize the AHS data among social science and public health researchers through blog posts and articles, at the PAA annual meetings, at a presentation at IFPRI, New Delhi, and through a webinar. Given the large size of the AHS sample, the panel structure of the data, and the fact that these data can answer open questions about maternal and child health in developing regions, the multiplier effects for public health of investment in making AHS data usable and accessible to the scientific community are large.