Abstract
In countries like UK and Australia, the comparability of model-based analyses is an essential aspect of reimbursement decisions for new pharmaceuticals, medical services and technologies. Within disease areas, the use of models with alternative structures, type of modelling techniques and/or data sources for common parameters reduces the comparability of evaluations of alternative technologies for the same condition. The aim of this paper is to propose a decision analytic model to evaluate longterm costs and benefits of alternative management options in patients with depression. The structure of the proposed model is based on the natural history of depression and includes clinical events that are important from both clinical and economic perspectives. Considering its greater flexibility with respect to handling time, discrete event simulation (DES) is an appropriate simulation platform for modelling studies of depression. We argue that the proposed model can be used as a reference model in modelbased studies of depression improving the quality and comparability of studies.
Original language | English |
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Pages (from-to) | 501-510 |
Number of pages | 10 |
Journal | The European Journal of Health Economics |
Volume | 13 |
Issue number | 4 |
DOIs | |
Publication status | Published - Aug 2012 |
Externally published | Yes |
Keywords
- economic evaluation
- decision modelling
- depression
- discrete event simulation
- Economic evaluation
- Depression
- Discrete event simulation
- Decision modelling