Examining risk classification strategies for the development of a measure of medical care economic risk in the United States

Q3 Social Sciences

Journal of Economic and Social Measurement Pub Date : 2016-01-01 DOI:10.3233/JEM-160430

S. Meier

引用次数: 2

Abstract

In a 1995 the National Research Council released a report that critically examined poverty measurement in the United States and recommended the development of a measure of medical expenditure related economic risk; a 2012 report continued support for such a measure. This study uses the Medical Expenditure Panel Survey to examine two alternative strategies for classifying individual-level risk for purposes of developing a loss modeling-based measure of medical care economic risk (MCER). Examining the use of self-perceived health and a DxCG risk score to classify individuals into five levels of risk, the study finds substantial differences in cell-level classification and attributed expenditure risk based on these two strategies. It is suggested that future work in this field move forward with the use of a risk score classification strategy to operationalize the MCER measure.

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检查风险分类策略的发展措施的医疗保健经济风险在美国

1995年，国家研究委员会发布了一份报告，严格审查了美国的贫困衡量标准，并建议制定一项与医疗支出相关的经济风险衡量标准;2012年的一份报告继续支持这一措施。本研究使用医疗支出小组调查来检查两种可供选择的策略，用于对个人层面的风险进行分类，以开发基于损失模型的医疗保健经济风险(MCER)测量。通过检查使用自我感知健康和DxCG风险评分将个体分为五个风险级别，该研究发现基于这两种策略的细胞水平分类和归因支出风险存在实质性差异。建议在这一领域的未来工作向前推进，使用风险评分分类策略来实施MCER措施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.