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Becker, C. ; Langer, A. ; Leidl, R.

The quality of three decision-analytic diabetes models: A systematic health economic assessment.

Expert Rev. Pharmacoecon. Outcomes Res. 11, 751-761 (2011)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Aims: Diabetes mellitus has important economic impacts worldwide. Interventions to prevent diabetes-related complications are often analyzed using model-based cost-effectiveness analyses. As model results are usually influenced by structural assumptions and by the data used, decision-makers should be able to assess the quality of diabetes models. The aim of this study was to assess the quality of selected diabetes models and to determine if modeling recommendations by the American Diabetes Association are considered. Methods: The quality of three selected diabetes models (Archimedes Model, CDC Model and Center for Outcomes Research [CORE] Diabetes Model) was assessed using systematic methods. Results: This systematic approach to assess model quality proved to be feasible and highlighted two areas for improvement: the rationale for model structure and methods to identify parameter values, which should be presented more transparently. Conclusions: Overall, the need for a quality assessment of diabetes models is emphasized.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter cost analysis; costs; decision support techniques; economic model; Type 2 diabetes mellitus
Sprache englisch
Veröffentlichungsjahr 2011
HGF-Berichtsjahr 0
ISSN (print) / ISBN 1473-7167
e-ISSN 1744-8379
Zeitschrift Expert Review of Pharmacoeconomics and Outcomes Research
Quellenangaben Band: 11, Heft: 6, Seiten: 751-761 Artikelnummer: , Supplement: ,
Verlag Taylor & Francis
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Health Economics and Health Care Management (IGM)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-505300-001
PubMed ID 22098291
DOI 10.1586/erp.11.68
Scopus ID 81755171252
Erfassungsdatum 2011-12-08
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