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Treatment cost and life expectancy of diffuse large B-cell lymphoma (DLBCL): a discrete event simulation model on a UK population-based observational cohort

Authors :
Eline Aas
Simon Crouch
Cathy Burton
Han-I Wang
Alexandra Smith
Russell Patmore
Eve Roman
Source :
The European Journal of Health Economics
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Background Diffuse large B-cell lymphoma (DLBCL) is the commonest non-Hodgkin lymphoma. Previous studies examining the cost of treating DLBCL have generally focused on a specific first-line therapy alone; meaning that their findings can neither be extrapolated to the general patient population nor to other points along the treatment pathway. Based on empirical data from a representative population-based patient cohort, the objective of this study was to develop a simulation model that could predict costs and life expectancy of treating DLBCL. Methods All patients newly diagnosed with DLBCL in the UK’s population-based Haematological Malignancy Research Network (www.hmrn.org) in 2007 were followed until 2013 (n = 271). Mapped treatment pathways, alongside cost information derived from the National Tariff 2013/14, were incorporated into a patient-level simulation model in order to reflect the heterogeneities of patient characteristics and treatment options. The NHS and social services perspective was adopted, and all outcomes were discounted at 3.5 % per annum. Results Overall, the expected total medical costs were £22,122 for those treated with curative intent, and £2930 for those managed palliatively. For curative chemotherapy, the predicted medical costs were £14,966, £23,449 and £7376 for first-, second- and third-line treatments, respectively. The estimated annual cost for treating DLBCL across the UK was around £88–92 million. Conclusions This is the first cost modelling study using empirical data to provide ‘real world’ evidence throughout the DLBCL treatment pathway. Future application of the model could include evaluation of new technologies/treatments to support healthcare decision makers, especially in the era of personalised medicine. Electronic supplementary material The online version of this article (doi:10.1007/s10198-016-0775-4) contains supplementary material, which is available to authorized users.

Details

ISSN :
16187601 and 16187598
Volume :
18
Database :
OpenAIRE
Journal :
The European Journal of Health Economics
Accession number :
edsair.doi.dedup.....5104c546d2f0c4acbd2809bd895728ef
Full Text :
https://doi.org/10.1007/s10198-016-0775-4