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

项目摘要 尽管全球在妇幼保健方面取得了进展，但改善情况参差不齐：一些地区 早期死亡率只有缓慢的下降。印度北部就是这样一个地区，那里的产前护理很少； 住院分娩并不普遍；在一些地方，五岁以下儿童的死亡率仍然高达十分之一。 发展中国家通常高度汇总的现有数据无法解释这种差异。这 该项目旨在准备、记录和归档一个新的数据集，该数据集将加深研究人员对 这些趋势并回答了妇幼保健领域的悬而未决的问题。年度健康调查 (AHS)是从印度9个高死亡率、高生育率邦的约400万户家庭收集的。 产生的包含1200多万个观测值的小组数据集经历了三次数据收集。这个 AHS数据为加深对卫生和卫生政策的理解带来了巨大的希望：小组结构 与以前的妇幼保健横断面数据集相比，数据的可信度更高。此外，AHS 数据可以与其他数据集相匹配，例如NICHD资助的IHDS-II和美国国际开发署资助的NFHS-- 2015年，了解性别歧视等社会力量或卫生政策等有条件的 现金转移促进住院分娩对妇幼保健产生了影响。这项提案概述了一项计划，使 科学界可以使用和访问的有价值的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 公开提供，但在目前的格式下很难使用。本项目将：(1)清理和合并 面板数据，(2)匹配多轮观测，(3)使用人口普查地区代码将AHS地区与 NHFS-2015和IHDS-II，(4)创建具有变量和值标签的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。(目标2)向NICHD存档AHS-- 支持人口统计研究数据共享(DSDR)倡议，并增加向 研究社区。PI和一名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。 考虑到AHS样本的大小、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，以及对公众的乘数效应 在使AHS数据可供科学界使用和访问方面的投资是巨大的。

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.