Background: To date there have been no studies identifying and comparing th
e component costs to treat a large number of diseases for hospitalized inpa
tients.
Methods: Hospital costs were analyzed for 486 diagnosis-related groups (DRG
s) relating to >1.3 million patient discharges from 60 University Hospital
members of the University HealthSystems Consortium. For each DRG, length of
stay, total cost, and key cost components were analyzed, including accommo
dation, intensive care, and surgery.
Results: In general, total costs of diseases classified as surgical exceede
d those classified as medical. Diseases involving organ transplantation typ
ically cost more than other diseases. However, within the studied populatio
n, the two DRGs accounting for most total healthcare dollars were percutane
ous cardiovascular procedures and management of neonates with immaturity or
respiratory failure.
Conclusions: Considering six key cost components, as well as disease comple
xity and length of stay, the best predictors of total costs for medical con
ditions were the length of stay and accommodation (housing, meals, nursing
services) costs, whereas for surgical conditions, the best predictor of tot
al costs was laboratory costs. This analysis may be used within an individu
al institution to identify surgical or medical diagnoses with total or comp
onent costs at variance with the group mean. A hospital may focus its cost
reduction efforts to make decisions to expand, alter, or eliminate particul
ar clinical programs based on comparison of its own total and component cos
ts with those from other hospitals in the database. (C) 2000 American Assoc
iation for Clinical Chemistry.