Hospital costs estimation and prediction as a function of patient and admission characteristics

Area of Science:

• Health Economics
• Hospital Management
• Public Health

Background:

• Accurate hospital cost calculation is crucial for financial management and resource allocation.
• Standardized methods for estimating inpatient costs are lacking in many public health systems, particularly in developing countries.
• Patient characteristics significantly influence hospital resource utilization and associated costs.

Purpose of the Study:

• To analyze the association between hospital costs and patient admission characteristics in a Brazilian public hospital.
• To estimate inpatient day costs using the unit costs method and identify key cost predictors.
• To contribute to the standardization of hospital cost calculation methodologies.

Main Methods:

• Employed the unit costs method to estimate inpatient day costs across different hospital clinics.
• Defined three "cost centers" to aggregate direct and indirect expenses.
• Utilized standard linear regression to correlate cost units with patient predictors (gender, age, admission type, ICU, transfusion, outcome, procedure complexity, risk-adjustment index).

Main Results:

• Average inpatient costs varied significantly across clinics, from $1135 (Orthopedics) to $3101 (Cardiology).
• Costs increased with higher risk-adjustment index scores in most clinics, though not statistically significant in Urology, General Surgery, and Clinical Medicine.
• Hospital occupation rate showed an inverse correlation with costs, while patient age had no significant association.

Conclusions:

• The risk-adjustment index is a significant predictor of hospital costs, highlighting the impact of patient complexity.
• The study provides valuable estimates for standardizing hospital cost calculations, particularly relevant for countries with less formal accounting systems.
• Further research into cost drivers can improve efficiency and financial planning in public hospitals.