IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v38y2020i2d10.1007_s40273-019-00869-3.html
   My bibliography  Save this article

One-Way Sensitivity Analysis for Probabilistic Cost-Effectiveness Analysis: Conditional Expected Incremental Net Benefit

Author

Listed:
  • Christopher McCabe

    (Institute of Health Economics
    University of Alberta)

  • Mike Paulden

    (University of Alberta)

  • Isaac Awotwe

    (University of Alberta)

  • Andrew Sutton

    (Institute of Health Economics)

  • Peter Hall

    (University of Edinburgh)

Abstract

Although probabilistic analysis has become the accepted standard for decision analytic cost-effectiveness models, deterministic one-way sensitivity analysis continues to be used to meet the need of decision makers to understand the impact that changing the value taken by one specific parameter has on the results of the analysis. The value of a probabilistic form of one-way sensitivity analysis has been recognised, but the proposed methods are computationally intensive. Deterministic one-way sensitivity analysis provides decision makers with biased and incomplete information whereas, in contrast, probabilistic one-way sensitivity analysis (POSA) can overcome these limitations, an observation supported in this study by results obtained when these methods were applied to a previously published cost-effectiveness analysis to produce a conditional incremental expected net benefit curve. The application of POSA will provide decision makers with unbiased information on how the expected net benefit is affected by a parameter taking on a specific value and the probability that the specific value will be observed.

Suggested Citation

  • Christopher McCabe & Mike Paulden & Isaac Awotwe & Andrew Sutton & Peter Hall, 2020. "One-Way Sensitivity Analysis for Probabilistic Cost-Effectiveness Analysis: Conditional Expected Incremental Net Benefit," PharmacoEconomics, Springer, vol. 38(2), pages 135-141, February.
    • Handle: RePEc:spr:pharme:v:38:y:2020:i:2:d:10.1007_s40273-019-00869-3
    DOI: 10.1007/s40273-019-00869-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-019-00869-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40273-019-00869-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Simon Walker & Mark Sculpher & Karl Claxton & Steve Palmer, 2012. "Coverage with evidence development, only in research, risk sharing or patient access scheme? A framework for coverage decisions," Working Papers 077cherp, Centre for Health Economics, University of York.
    2. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    3. Karl Claxton & Mark Sculpher & Chris McCabe & Andrew Briggs & Ron Akehurst & Martin Buxton & John Brazier & Tony O'Hagan, 2005. "Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 339-347, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Christopher McCabe & Giovanni Tramonti & Andrew Sutton & Peter Hall & Mike Paulden, 2021. "Probabilistic One-Way Sensitivity Analysis with Multiple Comparators: The Conditional Net Benefit Frontier," PharmacoEconomics, Springer, vol. 39(1), pages 19-24, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dongzhe Hong & Lei Si & Minghuan Jiang & Hui Shao & Wai-kit Ming & Yingnan Zhao & Yan Li & Lizheng Shi, 2019. "Cost Effectiveness of Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors, Glucagon-Like Peptide-1 (GLP-1) Receptor Agonists, and Dipeptidyl Peptidase-4 (DPP-4) Inhibitors: A Systematic Review," PharmacoEconomics, Springer, vol. 37(6), pages 777-818, June.
    2. Kasper M. Johannesen & Karl Claxton & Mark J. Sculpher & Allan J. Wailoo, 2018. "How to design the cost‐effectiveness appraisal process of new healthcare technologies to maximise population health: A conceptual framework," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 41-54, February.
    3. Matthew Franklin & James Lomas & Simon Walker & Tracey Young, 2019. "An Educational Review About Using Cost Data for the Purpose of Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 37(5), pages 631-643, May.
    4. James Love-Koh & Susan Griffin & Edward Kataika & Paul Revill & Sibusiso Sibandze & Simon Walker & Jessica Ochalek & Mark Sculpher & Matthias Arnold, 2019. "Economic analysis for health benefits package design," Working Papers 165cherp, Centre for Health Economics, University of York.
    5. Devin Incerti & Jeffrey R. Curtis & Jason Shafrin & Darius N. Lakdawalla & Jeroen P. Jansen, 2019. "A Flexible Open-Source Decision Model for Value Assessment of Biologic Treatment for Rheumatoid Arthritis," PharmacoEconomics, Springer, vol. 37(6), pages 829-843, June.
    6. Claire Rothery & Karl Claxton & Stephen Palmer & David Epstein & Rosanna Tarricone & Mark Sculpher, 2017. "Characterising Uncertainty in the Assessment of Medical Devices and Determining Future Research Needs," Health Economics, John Wiley & Sons, Ltd., vol. 26(S1), pages 109-123, February.
    7. Zoë Pieters & Mark Strong & Virginia E. Pitzer & Philippe Beutels & Joke Bilcke, 2020. "A Computationally Efficient Method for Probabilistic Parameter Threshold Analysis for Health Economic Evaluations," Medical Decision Making, , vol. 40(5), pages 669-679, July.
    8. White, Nicole & Blythe, Robin, 2023. "ShinyPrior: A tool for estimating probability distributions using published evidence," OSF Preprints zf62e, Center for Open Science.
    9. James Lomas & Miqdad Asaria & Laura Bojke & Chris P. Gale & Gerry Richardson & Simon Walker, 2018. "Which Costs Matter? Costs Included in Economic Evaluation and their Impact on Decision Uncertainty for Stable Coronary Artery Disease," PharmacoEconomics - Open, Springer, vol. 2(4), pages 403-413, December.
    10. Mark Sculpher & Stephen Palmer, 2020. "After 20 Years of Using Economic Evaluation, Should NICE be Considered a Methods Innovator?," PharmacoEconomics, Springer, vol. 38(3), pages 247-257, March.
    11. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    12. Andrew J. Mirelman & Miqdad Asaria & Bryony Dawkins & Susan Griffin & Richard Cookson & Peter Berman, 2020. "Fairer Decisions, Better Health for All: Health Equity and Cost-Effectiveness Analysis," World Scientific Book Chapters, in: Paul Revill & Marc Suhrcke & Rodrigo Moreno-Serra & Mark Sculpher (ed.), Global Health Economics Shaping Health Policy in Low- and Middle-Income Countries, chapter 4, pages 99-132, World Scientific Publishing Co. Pte. Ltd..
    13. Christopher M Doran & Irina Kinchin, 2020. "Economic and epidemiological impact of youth suicide in countries with the highest human development index," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-11, May.
    14. Qi Cao & Erik Buskens & Hans L. Hillege & Tiny Jaarsma & Maarten Postma & Douwe Postmus, 2019. "Stratified treatment recommendation or one-size-fits-all? A health economic insight based on graphical exploration," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 475-482, April.
    15. Simon Pol & Paula Rojas Garcia & Fernando Antoñanzas Villar & Maarten J. Postma & Antoinette D. I. Asselt, 2021. "Health-Economic Analyses of Diagnostics: Guidance on Design and Reporting," PharmacoEconomics, Springer, vol. 39(12), pages 1355-1363, December.
    16. Paul Revill & Simon Walker & Valentina Cambiano & Andrew Phillips & Mark J Sculpher, 2018. "Reflecting the real value of health care resources in modelling and cost-effectiveness studies—The example of viral load informed differentiated care," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-13, January.
    17. Isaac Corro Ramos & Maureen P. M. H. Rutten-van Mölken & Maiwenn J. Al, 2013. "The Role of Value-of-Information Analysis in a Health Care Research Priority Setting," Medical Decision Making, , vol. 33(4), pages 472-489, May.
    18. Omar B. Da'ar & Abdi A. Gele, 2023. "Tuberculosis in a weak health system, conflict and fragile zone: The monetary value of human lives lost associated with deaths of persons older than 14 years in Somalia," International Journal of Health Planning and Management, Wiley Blackwell, vol. 38(1), pages 53-68, January.
    19. Anna Nicolet & Antoinette D I van Asselt & Karin M Vermeulen & Paul F M Krabbe, 2020. "Value judgment of new medical treatments: Societal and patient perspectives to inform priority setting in The Netherlands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.
    20. McNamara, Simon & Tsuchiya, Aki & Holmes, John, 2021. "Does the UK-public's aversion to inequalities in health differ by group-labelling and health-gain type? A choice-experiment," Social Science & Medicine, Elsevier, vol. 269(C).

    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:spr:pharme:v:38:y:2020:i:2:d:10.1007_s40273-019-00869-3. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.