IDEAS home Printed from https://ideas.repec.org/a/taf/thssxx/v11y2022i2p75-83.html
   My bibliography  Save this article

Feasibility analysis of a prevention programme for patients with early chronic disease using A mathematical model

Author

Listed:
  • Fanwen Meng
  • Aidan Lyanzhiang Tan
  • Bee Hoon Heng
  • Melvin Khee Shing Leow
  • Palvannan Kannapiran

Abstract

The increasing prevalence of the chronic disease is of considerable concern to health-care organisations. Prevention programmes to patients with early chronic disease have the potential to improve individual health and quality of life through disease avoidance or delay and to save the medical cost of the health care system. Due to the limited budget in healthcare this study seeks to analyse the feasibility of a programme prior to implementation. A mathematical model is developed to determine incidence reduction rate at which the underlying cost break-even can be achieved; consequently, the programme would be feasible. We show the existence and uniqueness of the underlying incidence reduction and establish the feasibility frontier concerning the trade-offs between intervention effective period and incidence reduction rate. We use a diabetes prevention programme to demonstrate the efficiency and advantage of the model. The proposed model would inform decision-makers scientific principles in determining an intervention for implementation.

Suggested Citation

  • Fanwen Meng & Aidan Lyanzhiang Tan & Bee Hoon Heng & Melvin Khee Shing Leow & Palvannan Kannapiran, 2022. "Feasibility analysis of a prevention programme for patients with early chronic disease using A mathematical model," Health Systems, Taylor & Francis Journals, vol. 11(2), pages 75-83, April.
  • Handle: RePEc:taf:thssxx:v:11:y:2022:i:2:p:75-83
    DOI: 10.1080/20476965.2020.1860654
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20476965.2020.1860654
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20476965.2020.1860654?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:thssxx:v:11:y:2022:i:2:p:75-83. 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/thss .

    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.