Literature DB >> 28947098

Cost evaluation to optimise radiation therapy implementation in different income settings: A time-driven activity-based analysis.

Jacob Van Dyk1, Eduardo Zubizarreta2, Yolande Lievens3.   

Abstract

BACKGROUND: With increasing recognition of growing cancer incidence globally, efficient means of expanding radiotherapy capacity is imperative, and understanding the factors impacting human and financial needs is valuable.
MATERIALS AND METHODS: A time-driven activity-based costing analysis was performed, using a base case of 2-machine departments, with defined cost inputs and operating parameters. Four income groups were analysed, ranging from low to high income. Scenario analyses included department size, operating hours, fractionation, treatment complexity, efficiency, and centralised versus decentralised care.
RESULTS: The base case cost/course is US$5,368 in HICs, US$2,028 in LICs; the annual operating cost is US$4,595,000 and US$1,736,000, respectively. Economies of scale show cost/course decreasing with increasing department size, mainly related to the equipment cost and most prominent up to 3 linacs. The cost in HICs is two or three times as high as in U-MICs or LICs, respectively. Decreasing operating hours below 8h/day has a dramatic impact on the cost/course. IMRT increases the cost/course by 22%. Centralising preparatory activities has a moderate impact on the costs.
CONCLUSIONS: The results indicate trends that are useful for optimising local and regional circumstances. This methodology can provide input into a uniform and accepted approach to evaluating the cost of radiotherapy.
Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Activity-based costing; Cost analysis; Cost optimisation; Global income classifications; Low- and middle-income countries; Radiotherapy

Mesh:

Year:  2017        PMID: 28947098     DOI: 10.1016/j.radonc.2017.08.021

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


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