Hospital costs estimation and prediction as a function of patient and admission characteristics.
The present work analyzed the association between hospital costs and patient admission characteristics in a general public hospital in the city of Rio de Janeiro, Brazil. The unit costs method was used to estimate inpatient day costs associated to specific hospital clinics. With this aim, three "cost centers" were defined in order to group direct and indirect expenses pertaining to the clinics. After the costs were estimated, a standard linear regression model was developed for correlating cost units and their putative predictors (the patients gender and age, the admission type (urgency/elective), ICU admission (yes/no), blood transfusion (yes/no), the admission outcome (death/no death), the complexity of the medical procedures performed, and a risk-adjustment index). Data were collected for 3100 patients, January 2001-January 2003. Average inpatient costs across clinics ranged from (US$) 1135 [Orthopedics] to 3101 [Cardiology]. Costs increased according to increases in the risk-adjustment index in all clinics, and the index was statistically significant in all clinics except Urology, General surgery, and Clinical medicine. The occupation rate was inversely correlated to costs, and age had no association with costs. The (adjusted) per cent of explained variance varied between 36.3% [Clinical medicine] and 55.1% [Thoracic surgery clinic]. The estimates are an important step towards the standardization of hospital costs calculation, especially for countries that lack formal hospital accounting systems.
Program of Biomedical Engineering, Coppe-The Luiz Alberto Coimbra Institute-Federal University of do Rio de Janeiro, Rio de Janeiro, Brazil.
Robert
R
Ramiarina
Renan Mvr
RM
Almeida
Wagner Ca
WC
Pereira
D000328:Adult; D001938:Brazil; D003365:Costs and Cost Analysis; D005260:Female; D017721:Hospital Costs; D006769:Hospitals, General / Q000191:economics; D006801:Humans; D007902:Length of Stay; D008297:Male; D008875:Middle Aged; D010343:Patient Admission