title: How well do diagnosis-related groups for appendectomy explain variations in resource use? An analysis of patient-level data from 10 European countries.
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.
authors: Centre for Health Economics, University of York, York, UK. anne.mason@york.ac.uk
authors: Anne
authors: A
authors: Mason
authors: Zeynep
authors: Z
authors: Or
authors: Thomas
authors: T
authors: Renaud
authors: Andrew
authors: A
authors: Street
authors: Josselin
authors: J
authors: Thuilliez
authors: Padraic
authors: P
authors: Ward
mesh_terms: D000367:Age Factors; D001062:Appendectomy / Q000009:adverse effects / Q000191:economics* / Q000706:statistics & numerical data; D015897:Comorbidity; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data*; D005060:Europe / Q000453:epidemiology; D017721:Hospital Costs / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay / Q000191:economics / Q000706:statistics & numerical data; D018803:Models, Economic; D011183:Postoperative Complications / Q000191:economics; D012737:Sex Factors