Severity variations within DRGs:Measurement of hospital effects by use of data on significant secondary diagnoses

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Abstract
The Diagnosis Related Group classification has provided an excellent basis forenhancing the equity of resource allocation between public acute hospitals. However,it underestimates the higher levels of severity and consequent costliness of referralhospitals.This paper describes a practical way of measuring within-DRG variations in severity,which can be used to increase the precision of casemix-based funding. It involves theregression of length of stay against the numbers of significant diagnoses and procedures,and hence the prediction of additional justified costs. An example is given of itsapplication to data from South Australian public hospitals.

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