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Published on: February 9, 2016
Chemotherapy administration: modelling the costs of alternative protocols
Philip Haywood1, Johan de Raad, Kees van Gool
1Centre for Health Economics Research and Evaluation, University of Technology Sydney, NSW, Australia. phaywoodnewzealand@gmail.com
Understanding chemotherapy administration costs is crucial for healthcare budgets. This study developed a model to estimate these costs for different cancer treatments, aiding economic evaluations and resource allocation decisions.
Area of Science:
- Health Economics
- Oncology
- Healthcare Management
Background:
- Rising chemotherapy drug costs strain healthcare budgets.
- Administration costs are a significant, often overlooked, component of overall chemotherapy expenses.
- Accurate cost data is essential for effective economic evaluations and resource allocation in cancer care.
Purpose of the Study:
- To develop a comprehensive understanding of the costs associated with administering intravenous chemotherapy.
- To create a model for estimating and comparing the administration costs of alternative chemotherapy protocols.
- To support economic evaluations and inform local decision-making regarding chemotherapy treatment.
Main Methods:
- Identified and categorized tasks involved in intravenous chemotherapy administration.
- Allocated costs to each task using evidence-based cancer protocols and primary data collection.
- Utilized a healthcare system perspective and Australian cost data to model administration expenses.
- Applied the model to chemotherapy protocols for non-small-cell lung cancer, colorectal cancer, and breast cancer.
Main Results:
- Administration costs varied significantly across protocols and cancer types.
- For non-small-cell lung cancer, costs ranged from $A1274 to $A3015.
- For colorectal cancer, costs ranged from $A5175 to $A8445.
- For breast cancer, costs ranged from $A1494 to $A4074 (all 2009 values).
Conclusions:
- The developed model provides practical insights for economic evaluations in chemotherapy.
- Administration costs per visit appear to decrease with an increasing number of visits.
- This research offers valuable data for informed decisions on chemotherapy costs and resource allocation.
- The model, developed in New South Wales, Australia, is adaptable to other healthcare systems.
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