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The Severity of Illness Index as a severity adjustment to diagnosis-related groups.

Authors: S D, Horn; R A, Horn; P D, Sharkey;

The Severity of Illness Index as a severity adjustment to diagnosis-related groups.

Abstract

This article discusses the Severity of Illness case-mix groups, and suggests a refinement to diagnosis-related groups (DRG's) designed to accommodate the important element of patient severity. An application of the suggested refinement is presented in a discussion of the efficient production of hospital services. The following areas are addressed. A brief summary of the goals and development of the Severity of Illness Index, and the methodology used to collect severity of illness data on hospital inpatients. Comparative analyses of the resulting case-mix groups within hospitals, and an application of severity-adjusted diagnosis-related groups case-mix definitions. The contribution of the variation in physician practice patterns to the variation in resource use per patient within a hospital. Cross-hospital comparisons. Some of the consequences of incorporating a patient severity refinement into the prospective payment system.

Keywords

Maryland, Costs and Cost Analysis, Models, Theoretical, Factor Analysis, Statistical, Prognosis, Diagnosis-Related Groups

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    43
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 1%
Top 10%
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