IDEAS home Printed from https://ideas.repec.org/a/aza/mih000/y2020v4i4p331-339.html
   My bibliography  Save this article

MALO (more activity, less overcrowding): A bed management model as a high-impact solution to the problem of hospital overcrowding

Author

Listed:
  • Vega, Josep Lluís

    (Hospital Quirónsalud Barcelona, Ronda Sant Ramon, Spain)

  • Casadevall, Ricard

    (Healthcare Management Support, Barcelona Children’s Hospital, Hospital Sant Joan De Déu, Rosselló 338 2-1 08025 Barcelona, Spain)

Abstract

There is abundant literature that relates the overcrowding of the emergency departments (EDs) to the presence of patients admitted to the ED for want of beds in the hospitalisation area. Likewise, there is also abundant evidence on the relationship between hospital overcrowding and the deterioration of multiple indicators of healthcare quality. In this paper we present our bed management model (MALO model: more activity, less overcrowding), which we have successfully applied in three different hospitals. The three characteristic elements of this model are: 1. PREBEDA formula: this consists of a simple but useful formula for calculating the availability of beds on the basis of the scheduled activity and the activity estimated based on recent history 2. Coordinated surgical programming: surgical programming is coordinated with the bed availability forecast 3. ‘Beds czar’: a person responsible for the management of hospital beds is appointed, which acts according to the prioritization criteria established by a ‘bed management committee’, in which the medical director and the nursing director participate.

Suggested Citation

  • Vega, Josep Lluís & Casadevall, Ricard, 2020. "MALO (more activity, less overcrowding): A bed management model as a high-impact solution to the problem of hospital overcrowding," Management in Healthcare: A Peer-Reviewed Journal, Henry Stewart Publications, vol. 4(4), pages 331-339, June.
  • Handle: RePEc:aza:mih000:y:2020:v:4:i:4:p:331-339
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/5785/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/5785/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

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

    More about this item

    Keywords

    overcrowding; emergency department; prediction models; bed management;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General

    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:aza:mih000:y:2020:v:4:i:4:p:331-339. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.