Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/228094
Authors: 
Slegerova, Lenka
Year of Publication: 
2020
Series/Report no.: 
IES Working Paper No. 12/2020
Abstract: 
This paper proposes an original method for assessing costs of medical treatment. It defines states in a semi-Markov model associated with specific costs of the treatment, and not with patients' health statuses. Costs assigning to these "costs states" is more straightforward; moreover, it allows to estimate the periods separately when no treatment is administered. This method is applied to individuals' data drawn from the Czech clinical practice in the treatment of metastatic HER2+ breast cancer. The aim is to assess the cost-effectiveness of adding pertuzumab to the combination of trastuzumab+docetaxel within first-line therapy. The Kaplan-Meier estimates of survival functions were supplemented by the Cox proportional hazard model and the accelerated failure time model that both control for patients' characteristics. Based on the employed data, the addition of pertuzumab does not result in significantly longer patients' survival. Since the treatment is associated with higher costs, adding pertuzumab is not considered to be cost-effective; however, this could be due to relatively short patients' follow-up that is available at the moment.
Subjects: 
Cost-effectiveness
costs states in semi-Markov processes
Kaplan-Meier estimator
HER2+ metastatic breast cancer
pertuzumab
clinical data
Czech Republic
JEL: 
C24
C41
C51
D61
I13
I18
Document Type: 
Working Paper

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