Evaluating comorbidity scores based on health service expenditures.

Medicare & medicaid research review Pub Date : 2012-10-03 eCollection Date: 2012-01-01 DOI:10.5600/mmrr.002.03.a05
Meredith L Kilgore, Wilson Smith, Jeffrey R Curtis, Michael A Morrisey, David J Becker, Kenneth G Saag, Elizabeth Delzell
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引用次数: 4

Abstract

Objective: To describe the performance of Charlson Comorbidity Index (CCI) specifications among Medicare beneficiaries and subgroups.

Data sources: Medicare data for beneficiaries covered by Parts A and B and not Medicare Advantage throughout 2007.

Study design: We evaluated several CCI specifications, particularly a model using expenditures related to Charlson categories, to predict 1 year mortality.

Data collection/extraction methods: Data were obtained from the Chronic Condition Data Warehouse.

Principal findings: The use of Charlson related expenditures did not result in improved mortality prediction. CCI models perform less well in population subgroups with higher underlying mortality risks based on age and chronic conditions.

Conclusions: Relatively simple models provide quite adequate discrimination compared to more sophisticated models. Our proposed and more sophisticated model, which added in expenditure information, did not perform as well as much more easily executed methods.

基于卫生服务支出评估共病评分。
目的:描述Charlson合并症指数(CCI)规范在医疗保险受益人和亚组中的表现。数据来源:2007年A和B部分受益人的医疗保险数据,而不是医疗保险优势。研究设计:我们评估了几种CCI规格,特别是使用与Charlson分类相关的支出的模型,以预测1年死亡率。数据收集/提取方法:数据来自慢性病数据仓库。主要发现:使用与Charlson相关的支出并没有导致死亡率预测的改善。CCI模型在基于年龄和慢性病的潜在死亡风险较高的人群亚组中表现不佳。结论:相对简单的模型与更复杂的模型相比,提供了相当充分的判别。我们提出的更复杂的模型,增加了支出信息,不如更容易执行的方法执行得好。
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