title: [Does a higher coronary artery bypass graft surgery volume always have a low in-hospital mortality rate in Korea?].
abstract: OBJECTIVE
  To propose a risk-adjustment model with using insurance claims data and to analyze whether or not the outcomes of non-emergent and isolated coronary artery bypass graft surgery (CABG) differed between the low- and high-volume hospitals for the patients who are at different levels of surgical risk.
  
  
  METHODS
  This is a cross-sectional study that used the 2002 data of the national health insurance claims. The study data set included the patient level data as well as all the ICD-10 diagnosis and procedure codes that were recorded in the claims. The patient's biological, admission and comorbidity information were used in the risk-adjustment model. The risk factors were adjusted with the logistic regression model. The subjects were classified into five groups based on the predicted surgical risk: minimal (<0.5%), low (0.5% to 2%), moderate (2% to 5%), high (5% to 20%), and severe (=20%). The differences between the low- and high-volume hospitals were assessed in each of the five risk groups.
  
  
  RESULTS
  The final risk-adjustment model consisted of ten risk factors and these factors were found to have statistically significant effects on patient mortality. The C-statistic (0.83) and Hosmer-Lemeshow test (x2=6.92, p=0.55) showed that the model's performance was good. A total of 30 low-volume hospitals (971 patients) and 4 high-volume hospitals (1,087 patients) were identified. Significant differences for the in-hospital mortality were found between the low- and high-volume hospitals for the high (21.6% vs. 7.2%, p=0.00) and severe (44.4% vs. 11.8%, p=0.00) risk patient groups.
  
  
  CONCLUSIONS
  Good model performance showed that insurance claims data can be used for comparing hospital mortality after adjusting for the patients' risk. Negative correlation was existed between surgery volume and in-hospital mortality. However, only patients in high and severe risk groups had such a relationship.
authors.affiliation: Department of Hospital Management, College of Medicine, Eulji University.
authors.forename: Kwang-Soo
authors.initials: KS
authors.lastname: Lee
authors.forename: Sang-Il
authors.initials: SI
authors.lastname: Lee
mesh_terms: D000368:Aged; D001026:Coronary Artery Bypass / Q000401:mortality* / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D005260:Female; D017052:Hospital Mortality / Q000639:trends*; D006801:Humans; D008297:Male; D008875:Middle Aged; D020379:Risk Adjustment; D014481:United States