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The Malthus Programme: Developing Radiotherapy Demand Models for Breast and Prostate Cancer at the Local, Regional and National Level.

Authors :
Round, C.
Mee, T.
Kirkby, N.F.
Cooper, T.
Williams, M.V.
Jena, R.
Source :
Clinical Oncology. Sep2013, Vol. 25 Issue 9, p538-545. 8p.
Publication Year :
2013

Abstract

Abstract: Aims: The Malthus Programme has delivered a tool for modelling radiotherapy demand in England. The model is capable of simulating demand at the local level. This article investigates the local and regional level variation in predicted demand with respect to Breast and Prostate cancer, the two tumour types responsible for the majority of radiotherapy treatment workload in England. Materials and methods: Simulations were performed using the Malthus model, using base population incidence data for the period from 2007–2009. Simulations were carried out at the level of Primary Care Trusts, Cancer Networks, and nationwide, with annual projections for 2012, 2016 and 2020. Benchmarking was undertaken against previously published models from the UK, Canada and Australia. Results: For breast cancer, the fraction burden for 2012 varied from 5537 fractions per million in Tower Hamlets PCT to 18 896 fractions per million in Devon PCT (national mean - 13 592 fractions per million). For prostate cancer, the fraction burden for 2012 varied from 4874 fractions per million in Tower Hamlets PCT to 23 181 fractions per million in Lincolnshire PCT (national mean - 15 087 fractions per million). Predictions of population growth by age cohort for 2016 and 2020 result in the regional differences in radiotherapy demand becoming greater over time. Similar effects were also observed at the level of the cancer network. Conclusions: Our model shows the importance of local population demographics and cancer incidence rates when commissioning radiotherapy services. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09366555
Volume :
25
Issue :
9
Database :
Academic Search Index
Journal :
Clinical Oncology
Publication Type :
Academic Journal
Accession number :
89694364
Full Text :
https://doi.org/10.1016/j.clon.2013.05.006