Integrated Global Health on Child Health and Development

综合全球卫生对儿童健康和发展的影响

• 批准号: 10627816
• 负责人: Elizabeth H Boyle
• 金额: $ 65.28万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10627816
• 关键词: Adolescent; Adult; Affect; African; Age; Area; Back; Censuses; Child; Child Development; Child Health; Child Labor; Code; Comparative Study; Computer software; Conflict (Psychology); Contraceptive Usage; Country; Data; Data Set; Databases; Demographic and Health Surveys; Discipline; Disease; Documentation; Eastern Europe; Education and Outreach; Educational Models; Educational workshop; Ensure; Environment; Fertility Preferences; Fertility Study; Free Will; Funding; Geography; Health; Health Policy; Health Surveys; Health behavior; Home; Household; Human Development; Individual; Infrastructure; International; Internet; Investigation; Knowledge; Label; Link; Longevity; Maternal Mortality; Maternal and Child Health; Metadata; Minnesota; Minority Groups; Mission; Modeling; Names; National Institute of Child Health and Human Development; Neonatal Mortality; Online Systems; Orphan; Personal Satisfaction; Policy Maker; Population; Population Dynamics; Portuguese; Protocols documentation; Public Health; Refugees; Reproducibility; Reproductive Health; Research; Research Design; Research Personnel; Resources; Sampling; Shapes; Source; Surveys; System; Time; United Nations; Universities; Violence; Woman; Work; comparative; cost effective; data access system; data integration; data interoperability; data resource; design; experience; global health; health disparity; improved; innovation; interoperability; large scale data; marginalized community; member; metadata standards; novel; outreach; population health; response; skills; social; software development; tool; user-friendly; web site; webinar

Project Summary/Abstract This project will develop a powerful integrated database for studying global transformations of maternal and child health. Building on the IPUMS model, the project will harmonize Multiple Indicator Cluster Surveys (MICS) across countries of the Global South and Eastern Europe, creating consistent microdata and documentation. MICS include data representing over half the world's children and women, with survey data from over 90 countries dating back to the late 1990s. Collected via partnerships between the United Nations Children's Fund (UNICEF) and participating countries, MICS were the first large-scale comparative surveys to focus on many topics of critical importance to children, such as child labor and experiences with violent discipline. While other global health surveys largely ignore the crucial years between age five and 14, older children and adolescents are a core sample component in MICS. In addition, MICS are the only global surveys that routinely gather extensive health information on orphans, who constitute upwards of 17% of young children in some sub-Saharan African countries. The surveys also extend beyond children to consider the fertility preferences, health behaviors, knowledge, and well-being of adults age 15-49. Nearly always representative at the national and regional levels, MICS are also exceptional for constructing representative samples of marginalized communities within countries, such as refugees, individuals in areas affected by conflict, and minority groups. Despite the immense value of MICS, there are currently major barriers to using the MICS microdata. Variable names, response codes, value labels, and universes are inconsistent across countries and over time within the same country. Information is divided unpredictably among multiple files (e.g., women, household members, children). Documentation on such key issues as question wording, file-linking directions, weighting issues, and sampling is unstandardized and dispersed. For one-quarter of MICS surveys, documentation, as well as variable and value labels, is available in French, Portuguese, or Spanish only. The project will freely disseminate the harmonized microdata through a user-friendly Internet access tool, allowing researchers to design comparative studies in an information-rich environment. This integrated MICS (IPUMS MICS) will dramatically reduce the effort required to conduct and replicate sophisticated cross-national and cross-temporal analyses with the microdata. By eliminating duplicated effort, it will promote the cost-effective use of scarce resources for demographic and health research. It will reduce errors introduced when researchers combine datasets without fully understanding incompatibilities. Most importantly, IPUMS MICS will stimulate new investigations on topics directly related to the mission of NICHD, helping us understand the profound changes in maternal and child health and well-being that are reshaping the world.

项目总结/摘要 该项目将开发一个强大的综合数据库，用于研究全球妇幼保健的变化。 健康该项目将以城市统计综合方案的模式为基础，协调各区域的多指标类集调查。 全球南部和东欧国家，创建一致的微观数据和文档。MICS 包括代表世界上一半以上儿童和妇女的数据，调查数据来自90多个国家 可以追溯到90年代末通过联合国儿童基金会（儿童基金会） 多指标类集调查是第一次大规模的比较调查，侧重于 对儿童至关重要，如童工和暴力纪律的经验。虽然其他全球 健康调查在很大程度上忽略了5岁到14岁之间的关键年龄，年龄较大的儿童和青少年是一个 此外，多指标类集调查是唯一例行收集广泛信息的全球调查， 关于孤儿的健康信息，在撒哈拉以南非洲一些地区，孤儿占幼儿的17%以上 国家这些调查还延伸到儿童以外，考虑生育偏好，健康行为， 知识和15-49岁成年人的福祉。几乎总是在国家和区域一级具有代表性， 多指标类集调查在构建国家内边缘化社区的代表性样本方面也是例外， 例如难民、受冲突影响地区的个人和少数群体。尽管有巨大的价值， 多指标类集调查，目前在使用多指标类集调查微观数据方面存在重大障碍。变量名、响应代码、值 标签和宇宙在不同的国家和同一个国家内随着时间的推移是不一致的。信息 在多个文件之间不可预测地划分（例如，妇女、家庭成员、儿童）。文件， 关键问题，如问题措辞、文件链接方向、加权问题和抽样不标准， 消散而对于四分之一的多指标类集调查，文件以及变量和值标签可在 只有法语、葡萄牙语或西班牙语。 该项目将通过方便用户的互联网访问工具免费传播统一的微观数据， 使研究人员能够在信息丰富的环境中设计比较研究。这一集成的MICS （IPUMS MICS）将大大减少进行和复制复杂的跨国 和微观数据的跨时间分析。通过消除重复工作，它将促进具有成本效益的 将稀缺资源用于人口和健康研究。它将减少研究人员在研究时引入的错误， 联合收割机数据集，而不完全了解不兼容性。最重要的是，IPUMS MICS将刺激新的 对与NICHD的使命直接相关的主题进行调查，帮助我们了解深刻的变化 孕产妇和儿童的健康和福祉正在重塑世界。