IDEAS home Printed from https://ideas.repec.org/a/cup/hecopl/v5y2010i04p397-409_99.html
   My bibliography  Save this article

Optimising waiting: a view from the English National Health Service

Author

Listed:
  • Harrison, Anthony J.
  • Appleby, John

Abstract

Recent authors have proposed that waiting times for elective treatment should be reduced to the point where the costs of doing so exceed the benefits. This paper considers how this criterion could be put into effect. Taking benefits first it argues that these could be estimated in three different ways – social cost benefit, clinical and user valuation – that would not necessarily produce consistent results and hence a choice has to be made between them. It then considers the costs of reducing waits and argues, citing relevant evidence, that these may range widely according to whether or not reductions can be achieved through simple management measures or whether more long-term capacity is required. It concludes therefore that the apparently simple criterion proposed for defining the point where waiting times are optimal is hard to establish. Choice of criterion must be made in the light of the overall values that a given health care system is intended to promote.

Suggested Citation

  • Harrison, Anthony J. & Appleby, John, 2010. "Optimising waiting: a view from the English National Health Service," Health Economics, Policy and Law, Cambridge University Press, vol. 5(4), pages 397-409, October.
  • Handle: RePEc:cup:hecopl:v:5:y:2010:i:04:p:397-409_99
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1744133109990302/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Vusal Babashov & Antoine Sauré & Onur Ozturk & Jonathan Patrick, 2023. "Setting wait time targets in a multi‐priority patient setting," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1958-1974, June.
    2. Fabián Silva-Aravena & Jimmy H. Gutiérrez-Bahamondes & Hugo Núñez Delafuente & Roberto M. Toledo-Molina, 2022. "An Intelligent System for Patients’ Well-Being: A Multi-Criteria Decision-Making Approach," Mathematics, MDPI, vol. 10(21), pages 1-22, October.
    3. Tomas Hellström & Merle Jacob & Karolin Sjöö, 2017. "From thematic to organizational prioritization: the challenges of implementing RDI priorities," Science and Public Policy, Oxford University Press, vol. 44(5), pages 599-608.

    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:cup:hecopl:v:5:y:2010:i:04:p:397-409_99. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/hep .

    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.