Relationship between modeling technique and reported outcomes: case studies in models for the treatment of schizophrenia. (April 2014)

• Record Type: Journal Article
• Authors: von Schéele, Birgitta; Mauskopf, Josephine; Brodtkorb, Thor-Henrik; Ainsworth, Claire; Berardo, Carmen Galani; Patel, Anita
• Is Part Of: Expert review of pharmacoeconomics & outcomes research. Volume 14:Number 2(2014)
• Page Start: 235
• Page End: 257
• Publication Date: 2014-04
• Subjects: Pharmacology -- Economic aspects -- Periodicals; 338.47615105
• DOI: 10.1586/14737167.2014.891443
• Languages: English
• ISSNs: 1473-7167

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <p>Complex modeling techniques such as discrete-event simulation and simpler Markov or decision-tree models have been used to estimate the cost-effectiveness of treatment for chronic diseases such as schizophrenia. A systematic literature review of MEDLINE, EconLit, Embase, and the Cochrane Library identified schizophrenia modeling studies presenting incremental cost-effectiveness ratios. The relationship between modeling technique used and reported outcomes was examined. Fifty-four studies reporting results of 69 pairs of drug comparisons were identified. Of the paired-drug comparisons, 27 were conducted in at least two studies; in 14 of the 27, the results agreed (i.e., drug A cost-effective compared with drug B) despite differences in modeling techniques. Thirteen of the 27 paired-drug comparisons had contradictory study results even when the same modeling technique was used. Different modeling techniques did not appear to explain different findings about cost-effectiveness.</p> </abstract>