美国人口半个世纪的健康数据:综合健康访谈系列。

IF 1.6 2区 历史学 Q1 HISTORY
Miriam L King
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引用次数: 4

摘要

美国国家健康访谈调查(NHIS)是世界上最长的健康数据调查时间序列,也是20世纪60年代至今健康状况、行为和护理的丰富信息来源。由于复杂的文件结构、问卷内容的变化以及不断变化的变量名称和编码方案,NHIS公共使用文件很难用于长期分析。明尼苏达州人口中心的研究人员创建了综合健康访谈系列(IHIS)来克服这些问题。IHIS在互联网上提供了数千个一致编码和充分记录的NHIS变量,并使分析健康趋势和差异变得容易。IHIS使研究人员能够在半个世纪内进行一致的比较,从而将美国的健康状况作为一个动态过程进行研究,从而使NHIS数据的价值倍增。本文描述了IHIS的主要特征,并提出了利用这些宝贵的健康数据进行历史研究的富有成效的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Half Century of Health Data for the U.S. Population: The Integrated Health Interview Series.

The U.S. National Health Interview Survey (NHIS) is the world's longest survey time series of health data and a rich source of information on health conditions, behaviors, and care from the 1960s to the present. NHIS public-use files are difficult to use for long-term analysis, due to complex file structure, changes in questionnaire content, and evolving variable names and coding schemes. Researchers at the Minnesota Population Center have created the Integrated Health Interview Series (IHIS) to overcome these problems. IHIS provides access to thousands of consistently coded and well-documented NHIS variables on the Internet and makes it easy to analyze health trends and differentials. IHIS multiplies the value of NHIS data by allowing researchers to make consistent comparisons over half a century and thus to study U.S. health status as a dynamic process. This article describes the main features of IHIS and suggests fruitful avenues for historical research using these invaluable health data.

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来源期刊
Historical Methods
Historical Methods Multiple-
CiteScore
3.20
自引率
7.10%
发文量
13
期刊介绍: Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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