IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v72y2021i12p2649-2660.html
   My bibliography  Save this article

Estimating the impact of lifestyle changes on treatment outcomes for people with knee osteoarthritis through system dynamics simulation modelling

Author

Listed:
  • Milda Masilionyte
  • Ian McLean
  • Oliver Harding
  • Mahdi Doostmohammadi

Abstract

With the increasing number of patients suffering from knee osteoarthritis, the UK National Health Service is considering introducing a new treatment option that would focus on lifestyle changes. This study aims to develop a novel model that could serve as a tool to estimate the impact of such an intervention on treatment outcomes. In collaboration with the Forth Valley Royal Hospital, Larbert, United Kingdom, the model was formulated as a system dynamics simulation model and was built using Insight Maker, a web-based modelling tool. To the best of our knowledge, this paper is the first to employ system dynamics to tackle this problem. The simulations were run for several configurations to better understand the potential impact of advanced lifestyle treatment under various scenarios. The results for the most expected scenario suggest that introducing advanced lifestyle treatment would increase the average number of recovered patients by 4%, and reduce the average numbers of temporarily disabled, permanently disabled and deceased patients by 21%, 9% and 4%, respectively. The results also reveal that even with low advanced lifestyle treatment acceptance rates, the treatment outcomes could improve without any changes to current resources.

Suggested Citation

  • Milda Masilionyte & Ian McLean & Oliver Harding & Mahdi Doostmohammadi, 2021. "Estimating the impact of lifestyle changes on treatment outcomes for people with knee osteoarthritis through system dynamics simulation modelling," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(12), pages 2649-2660, December.
  • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:12:p:2649-2660
    DOI: 10.1080/01605682.2020.1806743
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2020.1806743
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01605682.2020.1806743?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.

    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:taf:tjorxx:v:72:y:2021:i:12:p:2649-2660. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjor .

    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.