Vascular surgeons' resource use at a university hospital related to diagnostic-related group and source of admission.
OBJECTIVE
To determine whether differences in the conduct of individual practices of attending vascular surgeons account for variations in resource use at a university hospital.


METHODS
The practice patterns of six attending vascular surgeons at the University of Michigan Hospital were assessed for patient length of stay (LOS), ancillary service use, and the number of nursing hours required. Included in the study were 1930 hospitalized patients who had one of the 10 most frequently encountered diagnostic related groups (DRGs). Statistical analyses of variables that were thought likely to affect resource use included multiple regression models.


RESULTS
Patient age, sex, insurance, source of admission (direct admission or transfer admission), surgeon, and DRG category together accounted for 22% of LOS variation, 27.7% of variation in ancillary service use, and 29.4% of variation in nursing hours. In no model did the individual surgeon's practice significantly effect the LOS, ancillary use, or nursing hours. Patients transferred from other hospitals had increased resource use in all models. The DRG category alone explained 20.9% of the variance in LOS, 25.2% of the variation in ancillary service use, and 21.2% of the variance in nursing hours.


CONCLUSIONS
Differences in the conduct of individual vascular surgeons' practices accounted for less than 1% variation in hospital resource use. The most important influences on resource use were the DRG category and the source of patient admission. Modification of the frequency and manner of accepting transfer patients to vascular surgery services of a university hospital may have a major impact on hospital resource use.
Kuczynski
Y T
YT
Department of Medicine, University of Michigan, Ann Arbor, USA.
Stanley
J C
JC
Rosevear
J S
JS
McMahon
L F
LF
D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data; D006295:Health Resources / Q000706:statistics & numerical data*; D017721:Hospital Costs; D006785:Hospitals, University / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay; D010343:Patient Admission; D010360:Patient Transfer; D010818:Practice Patterns, Physicians' / Q000191:economics; D014656:Vascular Surgical Procedures / Q000191:economics