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YHEC Office

Market Square,
University of York,
Vanbrugh Way, Heslington,
York YO10 5NH
Tel: +44 (0) 1904 323620
Fax: +44 (0)1904 323628
Email: yhec@york.ac.uk

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Early Modelling

Economic evaluations are increasingly used as tools to inform decision-makers about the cost-effectiveness of health technologies.  Such evaluations are often undertaken during the late stages of the technology development (i.e. around the time of product launch or, in some cases, post-launch). However, there is an increasing need for the manufacturers of the technology to appraise the likely cost-effectiveness of the intervention before making decisions on price and indication, as well as to inform the development of clinical trials.
Early models can be performed in the very early stages of a technology’s development, (e.g. phase I or II). Due to the simplified nature of such ‘early analyses’, there is no requirement for Phase III trial data, or subtle interactions between parameters. The purposes of such an analysis are to allow the user to determine the relative importance of different parameter inputs, in order to inform decisions on pricing, target populations and further research.

Over recent years YHEC has built up a team of researchers with expertise in delivering high quality early stage modelling. We also run regular specialised training courses in the methods of early modelling.

Some of our recent publications are:

  1. Taylor MJ, Scuffham PA. Pharmacoeconomic benefits of dasatinib in the treatment of imatinib-resistant patients with chronic myelogenous leukemia Expert Review of Pharmacoeconomics & Outcomes Research 2009; 9(2): 117-121. Click to view record
  2. Taylor MJ, Scuffham PA, Chaplin S, Papo N. An economic evaluation of Valsartan for post-MI patients in the UK who are not suitable for treatment with ACE inhibitors Value in Health 2009; 12(4): 459-465. Click to view record
  3. Taylor MJ, Chaplin S, Goldsmith D, Maloney D, Elgazzar H. An economic evaluation of sevelamer hydrochloride versus calcium-based phosphate binders in patients new to dialysis Current Medical Research and Opinion 2008; 24(2): 601-608. Click to view record
  4. Home P, Bagust A, Taylor MJ, Ambery P, Mendes da Costa S. A lifetime modelled economic evaluation comparing pioglitazone and rosiglitazone for the treatment of type 2 diabetes mellitus in the UK Pharmacoeconomics 2007; 25(9): 801-802. Click to view record
  5. Taylor MJ, Scuffham PA, McCollam P, Newby D. Acute coronary syndromes in Europe: one-year costs and outcomes Current Medical Research and Opinion 2007; 23(3): 495-503. Click to view record
  6. Bagust A, Evans M, Beale SJ, Home PD, Perry AS, Stewart M. A model of long-term metabolic progression of type 2 diabetes mellitus for evaluating treatment strategies PharmacoEconomics 2006; 24: 5-19. Click to view record
  7. Golder S, Glanville J, Ginnelly L. Populating decision-analytic models: the feasibility and efficiency of database searching for individual parameters International Journal of Technology Assessment in Health Care 2005; 21(3): 305-311. Click to view record
  8. Bagust A, Schoeffski O, Shearer A, Goertz A, Reitberger U, Behrens M. The DiDACT economic model of type 2 diabetes for Germany Diabetes und Stoffwechsel 2003; 12(Suppl 1): 159. Click to view record
  9. Gordois A, Scuffham PA, Shearer A, Oglesby A. The costs and consequences of peripheral neuropathy in the UK The Diabetic Foot 2003; 6(1): 30-37. Click to view record
  10. Gordois A, Scuffham PA, Warren E, Ward S. The cost-effectiveness of Glivec for the treatment of accelerated and blast phases of chronic myeloid leukaemia British Journal of Cancer 2003; 89(4): 634-640. Click to view record
  11. Scuffham PA. Estimating influenza-related hospital admissions in children and adults: a time-series analysis Disease Management and Health Outcomes 2003; 11(4): 259-269. Click to view record

For more details please contact Dr Matthew Taylor (Project Director, Pharmacoeconomics) by telephone (+44 (0) 1904 323631) or email (matthew.taylor@york.ac.uk)

 
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Updated:February 28, 2012 7:35 PM 
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