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利用医疗保险当前受益人调查(MCBS)中的健康状况指标来改善调整后人均成本(AAPCC)。

Improving the AAPCC (adjusted average per capita cost) with health-status measures from the MCBS (Medicare Current Beneficiary Survey).

作者信息

Gruenberg L, Kaganova E, Hornbrook M C

机构信息

DataChron Health Systems, Inc., Cambridge, MA 02139, USA.

出版信息

Health Care Financ Rev. 1996 Spring;17(3):59-75.

Abstract

Using data from the 1991 Medicare Current Beneficiary Survey (MCBS), multiple regression-based models predicting 1992 Medicare costs are developed and compared. A comprehensive model incorporating demographic, diagnostic, perceived health, and disability variables is shown to be stable and to fit the data well over the full range of Medicare-covered annual per capita expenses and for a variety of beneficiary subgroups defined by their health and functional status. This model produces stable unbiased estimates of expenditures on validation samples. A variant of this model is being considered for use in setting Medicare capitation payments for the second phase of the social/health maintenance organization (S/HMO) demonstration.

摘要

利用1991年医疗保险当前受益调查(MCBS)的数据,开发并比较了基于多元回归的预测1992年医疗保险费用的模型。一个综合了人口统计学、诊断、自我感知健康和残疾变量的模型被证明是稳定的,并且在医疗保险覆盖的人均年度费用的整个范围内以及对于由健康和功能状态定义的各种受益人群体都能很好地拟合数据。该模型对验证样本的支出产生稳定无偏的估计。正在考虑将该模型的一个变体用于为社会/健康维护组织(S/HMO)示范的第二阶段设定医疗保险按人头付费。

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