Abstract
Depression is a very costly chronic disease. An important cost driver is treatment failure caused by patient noncompliance due, in part, to the adverse effects of medications. Additionally, inadequate duration of therapy and inappropriate medication switching contribute to the high cost of treatment. With the epidemiological data for depression demonstrating a rise in both incidence and prevalence over the last 20 years, and the fact that many of the newer antidepressants will see patent expiry in the near future, previous antidepressant cost-effectiveness scenarios are likely to change. As economic models play an increasingly important role in therapeutic decision-making, clinicians are encouraged to understand the strategies and methods involved in modelling antidepressant therapy.
The aim of this review of the literature and synthesis of the various techniques important to the modelling of antidepressant therapies is for the practitioner to gain an increased understanding of the modelling methods previously utilised and be in a position to better evaluate future health economic models for the treatment of depression.
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Notes
Someoftheexamineditems(e.g.basecasereference) were explained in Hatziandreu et al.,[8] and are evaluated in section 1.6.The author did state that the decision model in this article was based on the previous model,and cited this reference.
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Acknowledgements
Dr Jones is a psychopharmacy research fellow at the Western Missouri Mental Health Center in Kansas City, Missouri, and was a Pharm.D. student completing a rotation in pharmacoeconomics in the Outcomes Research Division of Parke-Davis Pharmaceuticals, Ann Arbor, Michigan at the time of data compilation. Dr Cockrum is Senior Outcomes Researcher with Alcon Laboratories, Inc., Fort Worth, Texas, and was a pharmacoeconomist in the Outcomes Research Division of Parke-Davis Pharmaceuticals at the time of data compilation.
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Jones, M.T., Cockrum, P.C. A Critical Review of Published Economic Modelling Studies in Depression. Pharmacoeconomics 17, 555–583 (2000). https://doi.org/10.2165/00019053-200017060-00003
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DOI: https://doi.org/10.2165/00019053-200017060-00003