Rapid Estimation of Hospitalization Charges From a Brief Medical Record ReviewEvaluation of a Multivariate Prediction Model
作者:
Walter Kukull,
Thomas Koepsell,
Douglas Conrad,
Virginia Immanuel,
Jan Prodzinski,
Carol Franz,
期刊:
Medical Care
(OVID Available online 1986)
卷期:
Volume 24,
issue 10
页码: 961-966
ISSN:0025-7079
年代: 1986
出版商: OVID
关键词: regression models;bootstrap;charge imputation, non-fee-for-service;hospitalization charges
数据来源: OVID
摘要:
In settings where an itemized hospital bill is not generated, estimation of hospitalization charges for research or administrative purposes can be a laborious task. This article examines the extent to which the number of hospital days spent outside an intensive care unit (ICU), number of days in an ICU, number of laboratory tests performed, number of x-rays, and number of surgeries can be used in a multiple regression equation to impute inpatient charges for a sample of 103 hospitalizations at a Veterans Administration hospital. These predictor variables, all of which are readily ascertained in a brief medical record review, accounted for about 97% of the variance in imputed hospital charges. The bootstrap method was applied for validation of the prediction equation. Application of the method described here may be of value to researchers concerned with hospital charge estimation in non-fee-for-service settings.
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