IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00719783.html
   My bibliography  Save this paper

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 - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

  • Thomas Renaud

    (IRDES - Institut de Recherche et Documentation en Economie de la Santé - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

  • Andrew Street

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

  • Josselin Thuilliez

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 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," Post-Print halshs-00719783, HAL.
  • Handle: RePEc:hal:journl:halshs-00719783
    DOI: 10.1002/hec.2836
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Street, Andrew & Sivey, Peter & Mason, Anne & Miraldo, Marisa & Siciliani, Luigi, 2010. "Are English treatment centres treating less complex patients?," Health Policy, Elsevier, vol. 94(2), pages 150-157, February.
    2. Andrew Street & Conrad Kobel & Thomas Renaud & Josselin Thuilliez & ON BEHALF OF THE EURODRG GROUP, 2012. "How Well Do Diagnosis‐Related Groups Explain Variations In Costs Or Length Of Stay Among Patients And Across Hospitals? Methods For Analysing Routine Patient Data," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 6-18, August.
    3. Andrew Street & Conrad Kobel & Thomas Renaud & Josselin Thuilliez & ON BEHALF OF THE EURODRG GROUP, 2012. "How Well Do Diagnosis‐Related Groups Explain Variations In Costs Or Length Of Stay Among Patients And Across Hospitals? Methods For Analysing Routine Patient Data," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 6-18, August.
    4. Elena Polverejan & Joseph C. Gardiner & Cathy J. Bradley & Margaret Holmes‐Rovner & David Rovner, 2003. "Estimating mean hospital cost as a function of length of stay and patient characteristics," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 935-947, November.
    5. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carine Milcent, 2021. "From downcoding to upcoding: DRG based payment in hospitals," International Journal of Health Economics and Management, Springer, vol. 21(1), pages 1-26, March.
    2. Reinhard Busse & on behalf of the EuroDRG group, 2012. "DO DIAGNOSIS‐RELATED GROUPS EXPLAIN VARIATIONS IN HOSPITAL COSTS AND LENGTH OF STAY? – ANALYSES FROM THE EURODRG PROJECT FOR 10 EPISODES OF CARE ACROSS 10 EuroPEAN COUNTRIES," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 1-5, August.
    3. Carine Milcent, 2019. "From downcoding to upcoding: DRG based payment in hospitals," Working Papers halshs-02317416, HAL.
    4. Carine Milcent, 2019. "From downcoding to upcoding: DRG based payment in hospitals," PSE Working Papers halshs-02317416, HAL.
    5. 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.
    6. Møller Dahl, Christian & Planck Kongstad, Line, 2017. "The costs of acute readmissions to a different hospital – Does the effect vary across provider types?," Social Science & Medicine, Elsevier, vol. 183(C), pages 116-125.
    7. Zuzana Kotherová & Martina Caithamlová & Juraj Nemec & Kateřina Dolejšová, 2021. "The Use of Diagnosis-Related Group-Based Reimbursement in the Czech Hospital Care System," IJERPH, MDPI, vol. 18(10), pages 1-18, May.
    8. Myung Jae Jeon & Sung Pil Choo & Young Hwa Kwak & Dong Wook Kim & Eui Hyeok Kim, 2019. "The effect of diagnosis-related group payment system on the quality of medical care for pelvic organ prolapse in Korean tertiary hospitals," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-9, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Unto Häkkinen & Pietro Chiarello & Francesc Cots & Mikko Peltola & Hanna Rättö & ON BEHALF OF THE EURODRG GROUP, 2012. "Patient Classification And Hospital Costs Of Care For Acute Myocardial Infarction In Nine European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 19-29, August.
    3. James Gaughan & Conrad Kobel & Caroline Linhart & Anne Mason & Andrew Street & Padraic Ward & on behalf of the EuroDRG group, 2012. "Why Do Patients Having Coronary Artery Bypass Grafts Have Different Costs Or Length Of Stay? An Analysis Across 10 European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 77-88, August.
    4. Zeynep Or & Thomas Renaud & Josselin Thuilliez & Cora Lebreton & on behalf of the EuroDRG group, 2012. "Diagnosis Related Groups And Variations In Resource Use For Child Delivery Across 10 European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 55-65, August.
    5. Carine Milcent, 2016. "Upcoding and heterogeneity in hospitals’ response: A Natural Experiment," PSE Working Papers halshs-01340557, HAL.
    6. Stefan Rabbe & Meilin Möllenkamp & Benedetta Pongiglione & Hedwig Blommestein & Pim Wetzelaer & Renaud Heine & Jonas Schreyögg, 2022. "Variation in the utilization of medical devices across Germany, Italy, and the Netherlands: A multilevel approach," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 135-156, September.
    7. James Gaughan & Conrad Kobel, 2014. "Coronary artery bypass grafts and diagnosis related groups: patient classification and hospital reimbursement in 10 European countries," Health Economics Review, Springer, vol. 4(1), pages 1-13, December.
    8. Martin, Stephen & Street, Andrew & Han, Lu & Hutton, John, 2016. "Have hospital readmissions increased in the face of reductions in length of stay? Evidence from England," Health Policy, Elsevier, vol. 120(1), pages 89-99.
    9. Chris Bojke & Katja Grašič & Andrew Street, 2018. "How should hospital reimbursement be refined to support concentration of complex care services?," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 26-38, January.
    10. Alexander Geissler & David Scheller‐Kreinsen & Wilm Quentin & on behalf of the EuroDRG group, 2012. "Do Diagnosis‐Related Groups Appropriately Explain Variations In Costs And Length Of Stay Of Hip Replacement? A Comparative Assessment Of Drg Systems Across 10 European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 103-115, August.
    11. Chris Bojke & Katja Grasic & Andrew Street, 2015. "How much should be paid for Prescribed Specialised Services?," Working Papers 118cherp, Centre for Health Economics, University of York.
    12. Conrad Kobel & Engelbert Theurl, 2013. "Hospital specialisation within a DRG-Framework: The Austrian Case," Working Papers 2013-06, Faculty of Economics and Statistics, Universität Innsbruck.
    13. Michael M. Havranek & Josef Ondrej & Philippe K. Widmer & Stella Bollmann & Simon Spika & Stefan Boes, 2023. "Using exogenous organizational and regional hospital attributes to explain differences in case‐mix adjusted hospital costs," Health Economics, John Wiley & Sons, Ltd., vol. 32(8), pages 1733-1748, August.
    14. Reinhard Busse & on behalf of the EuroDRG group, 2012. "DO DIAGNOSIS‐RELATED GROUPS EXPLAIN VARIATIONS IN HOSPITAL COSTS AND LENGTH OF STAY? – ANALYSES FROM THE EURODRG PROJECT FOR 10 EPISODES OF CARE ACROSS 10 EuroPEAN COUNTRIES," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 1-5, August.
    15. Francesc Cots & Pietro Chiarello & Xavier Salvador & Xavier Castells & on behalf of the EuroDRG group, 2012. "Patient Classification Systems And Hospital Costs Of Care For Knee Replacement In 10 European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 116-128, August.
    16. Jacqueline O'Reilly & Lisbeth Serdén & Mats Talbäck & Brian McCarthy & on behalf of the EuroDRG group, 2012. "Performance Of 10 European Drg Systems In Explaining Variation In Resource Utilisation In Inguinal Hernia Repair," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 89-101, August.
    17. Gianluca Fiorentini & Silvana Robone & Rossella Verzulli, 2018. "How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 266-281, February.
    18. David Scheller‐Kreinsen & on behalf of the EuroDRG group, 2012. "How Well Do Diagnosis‐Related Group Systems Group Breast Cancer Surgery Patients?—Evidence From 10 European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 41-54, August.
    19. Gerli Paat‐Ahi & Maria Świderek & Paweł Sakowski & Janek Saluse & Ain Aaviksoo & on behalf of the EURODRG group, 2012. "DRGs IN EUROPE: A CROSS COUNTRY ANALYSIS FOR CHOLECYSTECTOMY," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 66-76, August.
    20. Mikko Peltola & on behalf of the EuroDRG group, 2012. "Patient Classification And Hospital Costs Of Care For Stroke In 10 European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 21(S2), pages 129-140, August.

    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:hal:journl:halshs-00719783. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.