IDEAS home Printed from https://ideas.repec.org/p/gea/wpaper/6-2011.html
   My bibliography  Save this paper

A self-reported work sampling to assess the Emergency Department’s costs

Author

Listed:
  • Paolo Cremonesi

    (S.C.M.C.A.U. E.O. Ospedali Galliera, Italy)

  • Enrico di Bella

    (DIEM, University of Genoa, Italy)

  • Marcello Montefiori

    (DIEM, University of Genoa, Italy)

  • Luca Persico

    (DIEM, University of Genoa, Italy)

Abstract

Emergency Department (ED) activity involves a consistent absorption of resources varying from medical staff to laundry services. Moving from the consideration that staff cost is the most relevant item among those reported in the ED balance sheet, we have conducted a statistical survey in one of the most relevant Italian ED with the goal of providing an accurate estimation of the cost incurred by ED according to the patient severity type (measured by the triage coding).The main contribution of the present paper consists in suggesting a new methodological approach to the ED cost analysis. Personnel and other costs are jointly considered in order to define, by the use of two different cost modeling scenarios, a per patient standard cost which takes into account the patient type and outcome.

Suggested Citation

  • Paolo Cremonesi & Enrico di Bella & Marcello Montefiori & Luca Persico, 2011. "A self-reported work sampling to assess the Emergency Department’s costs," DEP - series of economic working papers 6/2011, University of Genoa, Research Doctorate in Public Economics.
  • Handle: RePEc:gea:wpaper:6/2011
    as

    Download full text from publisher

    File URL: http://www.dep.unige.it/RePEc/gea/wpaper/dwpo-6-oct2011.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    emergency department; self-reporting work sampling; standard cost;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:gea:wpaper:6/2011. 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: Marcello Montefiori (email available below). General contact details of provider: https://edirc.repec.org/data/ifgenit.html .

    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.