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Health Serv Res. 1986 October; 21(4): 547–559.
PMCID: PMC1068971

Comparison of two prospective rate-setting models: the DRG and PIR models.

Abstract

The article compares two statistical prospective hospital reimbursement models: the diagnosis-related group (DRG) model and the prospective individualized reimbursement (PIR) model. Both models are applied to the same variables from the same data set, a random sample of 10,000 hospital discharges in Maryland in 1983. For comparative purposes, the two statistical models are allowed to differ only in their treatment of the predictive variable, "patient age." The criteria of comparison and results (DRG and PIR, respectively) are: number of patient groups required (469 and 337); accuracy of prediction of length of stay (38 percent and 45 percent of the total variation is explained by the models); correction for sampling bias (0 and 2.4 percent additional explained variation); and accuracy of prediction of total charges ($526 and $262 average error per patient).

Full text

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.
  • Brewster AC, Karlin BG, Hyde LA, Jacobs CM, Bradbury RC, Chae YM. MEDISGRPS: a clinically based approach to classifying hospital patients at admission. Inquiry. 1985 Winter;22(4):377–387. [PubMed]
  • Shachtman RH, Snapinn SM, Quade D, Freund DA, Kronhaus AK. A method for constructing case-mix indexes, with application to hospital length of stay. Health Serv Res. 1986 Feb;20(6 Pt 1):737–762. [PMC free article] [PubMed]
  • Jones KR. Predicting hospital charge and stay variation. The role of patient teaching status, controlling for diagnosis-related group, demographic characteristics, and severity of illness. Med Care. 1985 Mar;23(3):220–235. [PubMed]

Articles from Health Services Research are provided here courtesy of Health Research & Educational Trust