IDEAS home Printed from https://ideas.repec.org/p/chy/respap/4cherp.html
   My bibliography  Save this paper

A Pilot Study of Value of Information Analysis to Support Research Recommendations for the National Institute for Health and Clinical Excellence

Author

Listed:
  • Karl Claxton

    (Centre for Health Economics, University of York)

  • Simon Eggington

    (ScHARR, University of Sheffield)

  • Laura Ginnelly

    (Centre for Health Economics, University of York)

  • Susan Griffin

    (Centre for Health Economics, University of York)

  • Christopher McCabe

    (ScHARR, University of Sheffield)

  • Zoe Philips

    (Department of Economics, University of Nottingham)

  • Paul Tappenden

    (ScHARR, University of Sheffield)

  • Alan Wailoo

    (ScHARR, University of Sheffield)

Abstract

Background - This project developed as a result of the activities of the Research Teams at the Centre for Health Economics, University of York, and ScHARR at the University of Sheffield in the methods and application of decision analysis and value of information analysis as a means of informing the research recommendations made by NICE, as part of its Guidance to the NHS in England and Wales, and informing the deliberations of the NICE Research and Development Committee. Objectives - The specific objectives of the pilot study were to: • Demonstrate the benefits of using appropriate decision analytic methods and value of information analysis to inform research recommendations. • Establish the feasibility and resource implications of applying these methods in a timely way, to inform NICE. • Identify critical issues and methodological challenges to the use of value of information methods for research recommendations (with particular regard to the new reference case as a suitable basis for this type of analysis).

Suggested Citation

  • Karl Claxton & Simon Eggington & Laura Ginnelly & Susan Griffin & Christopher McCabe & Zoe Philips & Paul Tappenden & Alan Wailoo, 2005. "A Pilot Study of Value of Information Analysis to Support Research Recommendations for the National Institute for Health and Clinical Excellence," Working Papers 004cherp, Centre for Health Economics, University of York.
    • Handle: RePEc:chy:respap:4cherp
    as

    Download full text from publisher

    File URL: http://www.york.ac.uk/media/che/documents/papers/researchpapers/rp4_Pilot_study_of_value_of_information_analysis.pdf
    File Function: First version, 2005
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alan Brennan & Samer Kharroubi & Anthony O'Hagan & Jim Chilcott, 2007. "Calculating Partial Expected Value of Perfect Information via Monte Carlo Sampling Algorithms," Medical Decision Making, , vol. 27(4), pages 448-470, July.
    2. Elisabeth Fenwick & Karl Claxton & Mark Sculpher, 2005. "The value of implementation and the value of information: combined and uneven development," Working Papers 005cherp, Centre for Health Economics, University of York.
    3. Susan Griffin & Nicky J. Welton & Karl Claxton, 2010. "Exploring the Research Decision Space: The Expected Value of Information for Sequential Research Designs," Medical Decision Making, , vol. 30(2), pages 155-162, March.
    4. Zoe Philips & Karl Claxton & Stephen Palmer, 2008. "The Half-Life of Truth: What Are Appropriate Time Horizons for Research Decisions?," Medical Decision Making, , vol. 28(3), pages 287-299, May.
    5. Felipa de Mello-Sampayo, 2022. "On the timing and probability of Presurgical Teledermatology: how it becomes the dominant strategy," Health Care Management Science, Springer, vol. 25(3), pages 389-405, September.
    6. Josh J. Carlson & Rahber Thariani & Josh Roth & Julie Gralow & N. Lynn Henry & Laura Esmail & Pat Deverka & Scott D. Ramsey & Laurence Baker & David L. Veenstra, 2013. "Value-of-Information Analysis within a Stakeholder-Driven Research Prioritization Process in a US Setting: An Application in Cancer Genomics," Medical Decision Making, , vol. 33(4), pages 463-471, May.
    7. Bas Groot Koerkamp & M. G. Myriam Hunink & Theo Stijnen & Milton C. Weinstein, 2006. "Identifying key parameters in cost‐effectiveness analysis using value of information: a comparison of methods," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 383-392, April.
    8. Felipa, de Mello-Sampayo, 2014. "The Timing and Probability of Switching to Second-line Regimen - An application to Second-Line Antiretroviral Therapy in India," MPRA Paper 60997, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:chy:respap:4cherp. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gill Forder (email available below). General contact details of provider: https://edirc.repec.org/data/chyoruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.