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How well do diagnosis-related groups for appendectomy explain variations in resource use? An analysis of patient-level data from 10 european countries

Author

Listed:
  • Anne Mason

    (CHE - Center for Health Economics - University of York [York, UK])

  • Zeynep Or

    (IRDES - Institut de Recherche et Documentation en Economie de la Santé - Institut de la Recherche et Documentation en Economie de la Santé)

  • Thomas Renaud

    (IRDES - Institut de Recherche et Documentation en Economie de la Santé - Institut de la Recherche et Documentation en Economie de la Santé)

  • Andrew Street

    (CHE - Center for Health Economics - University of York [York, UK])

  • Josselin Thuilliez

    () (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Padraic Ward

    (CHE - Center for Health Economics - University of York [York, UK])

Abstract

Appendectomy is a common and relatively simple procedure to remove an inflamed appendix, but the rate of appendectomy varies widely across Europe. This paper investigates factors that explain differences in resource use for appendectomy. We analysed 106 929 appendectomy patients treated in 939 hospitals in 10 European countries. In stage 1, we tested the performance of three models in explaining variation in the (log of) cost of the inpatient stay (seven countries) or length of stay (three countries). The first model used only the diagnosis-related groups (DRGs) to which patients were coded, the second model used a core set of general patient-level and appendectomy-specific variables, and the third model combined both sets of variables. In stage two, we investigated hospital-level variation. In classifying appendectomy patients, most DRG systems take account of complex diagnoses and comorbidities but use different numbers of DRGs (range: 2 to 8). The capacity of DRGs and patient-level variables to explain patient-level cost variation ranges from 34% in Spain to over 60% in England and France. All DRG systems can make better use of administrative data such as the patient's age, diagnoses and procedures, and all countries have outlying hospitals that could improve their management of resources for appendectomy.

Suggested Citation

  • Anne Mason & Zeynep Or & Thomas Renaud & Andrew Street & Josselin Thuilliez & Padraic Ward, 2012. "How well do diagnosis-related groups for appendectomy explain variations in resource use? An analysis of patient-level data from 10 european countries," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00719783, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00719783
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00719783
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    Cited by:

    1. repec:eee:socmed:v:183:y:2017:i:c:p:116-125 is not listed on IDEAS
    2. James Gaughan & Anne Mason & Andrew Street & Padraic Ward, 2012. "English Hospitals Can Improve Their Use of Resources: An Analysis of Costs and Length of Stay for Ten Treatments," Working Papers 078cherp, Centre for Health Economics, University of York.

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