Related Experiment Video
Updated: Aug 11, 2026

09:02
Percutaneous Hepatic Perfusion (PHP) with Melphalan as a Treatment for Unresectable Metastases Confined to the Liver
Published on: July 31, 2016
Payment policy for chemotherapy in public hospitals: a case for splitting DRG 780/R63Z
1School of Public Health, La Trobe University, Victoria. s.duckett@latrobe.edu.au
Australian and New Zealand Journal of Public Health
|February 5, 2002
Summary
The current chemotherapy classification in Australia needs revision. Splitting Diagnosis Related Group 780 into five distinct cancer groups better reflects cost variations and improves casemix development.
Area of Science:
- Health economics
- Medical classification systems
- Oncology
Background:
- The Australian casemix classification system groups patients based on resource use.
- Diagnosis Related Group (DRG) 780 currently encompasses various chemotherapy cases.
- Assessing the appropriateness of this classification is crucial for accurate cost allocation.
Purpose of the Study:
- To evaluate the suitability of the existing chemotherapy classification within the Australian casemix system.
- To determine if DRG 780 accurately reflects resource utilization across different cancer types.
Main Methods:
- A secondary analysis of patient-level data from Victorian hospitals (1994-1997) was conducted.
- The Chi-squared Automatic Interaction Detector (CHAID) algorithm was employed to analyze cost variations.
- Data from DRG 780 cases were examined to identify significant cost differences.
Main Results:
- Significant cost disparities were identified among different cancer types within DRG 780.
- Colon cancer (mean $289), breast cancer (mean $481), lymphatic cancer (mean $605), and leukemia (mean $1,118) showed distinct cost profiles.
- These cost differences met statistical criteria for splitting the existing DRG.
Conclusions:
- The study recommends splitting DRG 780 into five new groups: colon, breast, lymphatic cancers, leukemia, and 'other cancers'.
- This revised classification is expected to reduce variance in cost explanation by approximately 10%.
- Length of stay is an unreliable proxy for resource utilization, particularly for same-day DRGs, necessitating a shift in casemix development strategies.

