scholarly journals Cost-effectiveness of new pneumococcal conjugate vaccines in Turkey: a decision analytical model

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Mustafa Bakır ◽  
Özden Türel ◽  
Oleksandr Topachevskyi
2017 ◽  
Vol 33 (S1) ◽  
pp. 194-195
Author(s):  
Paolo Cortesi ◽  
Nilhan Uzman ◽  
Matteo Ferrario ◽  
Lorenzo Giovanni Mantovani

INTRODUCTION:In the past decades the cost-effectiveness of new effective disease-modifying therapies (DMTs) for Relapsing Remitting Multiple Sclerosis (RRMS) form was assessed through decision analytical models. Recently, new treatment option for the Primary Progressive (PPMS) form was developed. Aim of this work was assessing the similarities and differences of PPMS and RRMS and their impact in the development of decision analytical model for PPMS.METHODS:Literature review was performed to retrieve information on natural history of PPMS and RRMS and impact of DMTs agents on the progression of these conditions. Further, a review of the published cost-effectiveness models for RRMS was performed. Based on these data, an analysis on the difference and similarities between the two MS forms that could have an impact on the development of decision analytical model for PPMS was performed.RESULTS:Based on the analysis, similar structure model used for RRMS could be applied for PPMS. Health states of the model could be based on Expanded Disability Status Scale score as already done for RRMS. The relapse events considered for RRMS should not be included in PPMS model, and no possibility to develop another form, as the Secondary Progressive, should be included. While RRMS models should include at least a second line treatment option due to alternative DMTs available, only first treatment line should be considered for PPMS. Assessing data available to populate the model, poor data on the natural history, utility and cost associated to PPMS were available and assumption or expert opinions will be needed to overcome the lack of robust data.CONCLUSIONS:A decision analytical model for PPMS can use a similar structure used in the models for RRMS. However, more robust data on PPMS and some structural change are needed to provide a good tool to assess cost-effectiveness of DMTS in PPMS.


2017 ◽  
Vol 22 (04) ◽  
pp. 181-182
Author(s):  
Pascal Bretzke

Kuhlmann A, Graf von der Schulenburg JM. Modeling the cost-effectiveness of infant vaccination with pneumococcal conjugate vaccines in Germany. Eur J Health Econ 2017; 18: 273–292 Im Jahr 2009 hat die Europäische Arzneimittelagentur zwei weitere Pneumokokken-Impfstoffe für die Impfung von Säuglingen zugelassen. Diese Studie zielt darauf ab, die Kostenwirksamkeit der universellen Säuglingsimpfung (<2 Jahre alt) mit einem 13-wertigen Pneumokokken-Konjugatimpfstoff (PCV13) im Vergleich zu einem 10-wertigen Pneumokokken-Konjugatimpfstoff (PCV10) zur Prävention von Pneumokokken-Erkrankungen zu bewerten.


2012 ◽  
Vol 11 (10) ◽  
pp. 1235-1247 ◽  
Author(s):  
Raymond A Farkouh ◽  
Rogier M Klok ◽  
Maarten J Postma ◽  
Craig S Roberts ◽  
David R Strutton

Author(s):  
Mohammed Alam

Background: A decision analytical model investigating cost-effectiveness of Erlotinib was submitted to the UK NICE (National Institute for Health and Care Excellence), which was not based on actual health-state transition probabilities, leading to structural uncertainty in the model. The study adopted a Markov state-transition model for investigating the cost-effectiveness of Erlotinib versus Best Supportive Care (BSC) as a maintenance therapy for patients with non-small cell lung cancer (NSCLC). Methods: Unlike manufacturer submission (MS), the Markov model was governed by transition probabilities, and allowed a negative post-progression survival (PPS) estimate to appear in later cycle. Using published summary survival data, the study employs three fixed- and time-varying approaches to estimate state transition probabilities that are used in a restructured model. Results: Post-progression probabilities and probabilities of death for Erlotinib were different than fixed-transition approaches. The best fitting curves are achieved for both PPS and probability of death across the time for which data were available, but the curves start diverging towards the end of this period. The Markov model which extrapolates the curves forward in time suggests that this difference between a time-varying and fixed-transition becomes even greater. Our models produce an ICER of £54k -£66k per QALY gain, which is comparable to an ICER presented in the MS (£55k/QALY gain). Conclusions: Results from restructured Markov models show robust cost-effectiveness results for Erlotinib vs BSC. Although these are comparable to manufacturer submissions, in terms of magnitude, they vary, and which are crucial for interventions falling near a threshold value. The study will further explore the cost-effectiveness of therapies for NSCLC in Qatar.


2019 ◽  
Vol 19 ◽  
pp. 34-44 ◽  
Author(s):  
Alen Marijam ◽  
Jan Olbrecht ◽  
Alev Ozakay ◽  
Volkan Eken ◽  
Kinga Meszaros

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