{"title":"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","authors":"S. Meier","doi":"10.3233/JEM-160430","DOIUrl":null,"url":null,"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.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"41 1","pages":"289-305"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-160430","citationCount":"2","resultStr":"{\"title\":\"Examining risk classification strategies for the development of a measure of medical care economic risk in the United States\",\"authors\":\"S. Meier\",\"doi\":\"10.3233/JEM-160430\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":53705,\"journal\":{\"name\":\"Journal of Economic and Social Measurement\",\"volume\":\"41 1\",\"pages\":\"289-305\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3233/JEM-160430\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic and Social Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/JEM-160430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JEM-160430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Examining risk classification strategies for the development of a measure of medical care economic risk in the United States
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.
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.