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使用多元回归调整预期支付率的替代方法。

Alternatives for using multivariate regression to adjust prospective payment rates.

作者信息

Sheingold S H

出版信息

Health Care Financ Rev. 1990 Spring;11(3):31-41.

Abstract

Multivariate regression analysis has been used in structuring three of the adjustments to Medicare's prospective payment rates. Because the indirect-teaching adjustment, the disproportionate-share adjustment, and the adjustment for large cities are responsible for distributing approximately $3 billion in payments each year, the specification of regression models for these adjustments is of critical importance. In this article, the application of regression for adjusting Medicare's prospective rates is discussed, and the implications that differing specifications could have for these adjustments are demonstrated.

摘要

多元回归分析已被用于构建医疗保险预期支付率的三项调整措施。由于间接教学调整、高比例调整以及大城市调整每年负责分配约30亿美元的支付款项,因此为这些调整制定回归模型的规范至关重要。本文讨论了回归在调整医疗保险预期费率中的应用,并展示了不同规范对这些调整可能产生的影响。

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