Systematic Review of Model-Based Economic Evaluations of Drugs in Bipolar Disorder
2014
This article, published in Applied Economics and Health Policy, systematically and critically reviews the literature on model-based economic evaluations of pharmacotherapeutics in patients with bipolar disorders.
This review identifies 14 studies. Of these 14 studies, nine use Markov, three use discrete-event simulation (DES) and two use decision-tree models. Most of the studies (n = 11) do not include the rationale for the choice of modelling technique undertaken. Half of the studies do not include the risk of mortality and there are no studies that consider the risk of having a mixed bipolar episode.
Based on the critical assessment of the modelling techniques used, the author concludes that DES modelling appears to be a flexible and comprehensive technique for evaluating the comparability of BD treatment options because of its greater flexibility of depicting the disease progression over time. However, the author also states that depending on the research question, modelling techniques other than DES might also be appropriate.
Systematic Review of Model-Based Economic Evaluations of Drugs in Bipolar Disorder
Source:
Mohiuddin S. A Systematic and Critical Review of Model-Based Economic Evaluations of Pharmacotherapeutics in Patients with Bipolar Disorder. Applied Economics and Health Policy 2014; 12 (4): 359-372. http://doi.org/10.1007/s40258-014-0098-5
Not open access.