Mensch, Alexander, Beck, Tanja, Civello, Daniele, Kunigkeit, Christopher, Lachmann, Nicole, Stock, Stephanie, Gandjour, Afschin and Mueller, Dirk (2018). Applying GRADE Criteria to Clinical Inputs to Cost-Effectiveness Modeling Studies. Pharmacoeconomics, 36 (8). S. 987 - 995. NORTHCOTE: ADIS INT LTD. ISSN 1179-2027

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Abstract

Background Concerns have been raised about the use of clinical data in cost-effectiveness models. The aim of this analysis was to evaluate the appropriate use of data on clinical effectiveness in cost-effectiveness modeling studies that were published between 2001 and 2015. Methods Assessors rated 72 modeling studies obtained from three therapeutic areas by applying criteria defined by the Grading of Recommendations Assessment, Development and Evaluation group for assessing the quality of clinical evidence: selection of clinical data (publication bias), imprecision, indirectness, inconsistency (i.e., heterogeneity), and study limitations (risk of bias). For all parameters included in the analyses, potential changes over time were assessed. Results Although three out of four modeling studies relied on randomized controlled trials, more than 60% of the modeling studies were based on clinical data with a high or unclear risk of bias, in more than 80%, a risk of publication bias was found, and in about 30%, evidence was based on indirect clinical evidence, having significantly increased over the years. Study limitations were inadequately described in more than one third of the studies. However, less than 10% of clinical studies showed inconsistency or imprecision in study results. Conclusion Despite the fact that the majority of economic evaluations are based on precise and consistent randomized controlled trials, their results are often affected by limitations arising from methodological shortcomings in the underlying data on clinical efficacy. Modelers and assessors should be more aware of aspects surrounding the quality of clinical evidence as considered by the Grading of Recommendations Assessment, Development and Evaluation group.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Mensch, AlexanderUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Beck, TanjaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Civello, DanieleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kunigkeit, ChristopherUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lachmann, NicoleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stock, StephanieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gandjour, AfschinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mueller, DirkUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-179268
DOI: 10.1007/s40273-018-0651-4
Journal or Publication Title: Pharmacoeconomics
Volume: 36
Number: 8
Page Range: S. 987 - 995
Date: 2018
Publisher: ADIS INT LTD
Place of Publication: NORTHCOTE
ISSN: 1179-2027
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
GUIDELINES; QUALITYMultiple languages
Economics; Health Care Sciences & Services; Health Policy & Services; Pharmacology & PharmacyMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/17926

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