Internet-based Dissemination of NLTCS Data

基于互联网的 NLTCS 数据传播

• 批准号: 6550160
• 负责人: OLEH WOLOWYNA
• 金额: $ 9.89万
• 依托单位: INFORMED DECISIONS, INC.
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6550160
• 关键词: Internet; clinical research; computer data analysis; computer program /software; data management; extended care; health surveys; human data; human old age (65+); information dissemination; statistics /biometry

DESCRIPTION (provided by applicant): The National Long Term Care Survey (NLTCS) collects longitudinal data on persons aged 65 and older about their Long-Term Care (LTC) status. The Center for Demographic Studies (CDS) at Duke University distributes Public Use Files (PUF) and Analytical Files of these data, designed for estimating claim costs for Home and Community Based LTC insurance policies. These files and the research results from the NLTCS do not receive wide distribution, and are not easily accessible to non-technical users. Also the analysis steps for preparing Analytical Files are very time consuming, and this delays the distribution of data. Informed Decisions, Inc., (ID) is developing software for generating Dynamic Hypercubes (DH) with data from any relational database, and post them on the Internet. Non-technical users will be able to do interactively simple analyses and generate many tables from one DH. The DHs will also be applied to optimize data cleaning and analyses steps for the Analytical Files. Duke University CDS will be responsible for providing ID with expert input on the NLTCS and the interface of the survey with the software procedures being developed and applied in Phase I. The final product will be general enough for application to practically any database.

描述（由申请人提供）：国家长期护理调查（NLTCS）收集65岁及以上老年人长期护理（LTC）状态的纵向数据。杜克大学的人口统计学研究中心（CDS）分发了这些数据的公共使用文件（PUF）和分析文件，旨在估计基于家庭和社区的LTC保险政策的索赔成本。这些文件和NLTCS的研究结果没有得到广泛的传播，非技术用户也不容易获得。此外，准备分析文件的分析步骤非常耗时，这会延迟数据的分发。 知情决策公司，(ID)正在开发一种软件，用于从任何关系数据库中生成动态超立方体（DH），并将其发布在互联网上。非技术用户将能够进行交互式的简单分析，并从一个DH生成多个表。还将应用DH优化分析文件的数据清理和分析步骤。杜克大学CDS将负责为ID提供关于NLTCS的专家意见，以及调查与第I阶段开发和应用的软件程序的接口。最终产品将是通用的，足以应用到几乎任何数据库。