Risk adjustment for coronary artery bypass graft surgery: An administrative approach versus EuroSCORE

International Journal for Quality in Health Care

Volumn 16, Issue 2, 2004, Pages 157-164

  Ugolini, Cristina ^a,c   Nobilio, Lucia ^a,b  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b Reg Hlth Care Agy Emilia Romagna   (Italy)

^c NONE   (Italy)

Author keywords

Administrative data; Cardiac surgery; Charlson index; EuroSCORE; Risk adjustment

Indexed keywords

ACCURACY; AGE; ARTICLE; CLINICAL PRACTICE; COMORBIDITY; CONTROLLED STUDY; CORONARY ARTERY BYPASS GRAFT; DATA BASE; DIAGNOSTIC PROCEDURE; ECONOMIC ASPECT; EMERGENCY HEALTH SERVICE; EUROPEAN SYSTEM FOR CARDIAC OPERATIVE RISK EVALUATION; FEMALE; GENDER; HEALTH CARE PLANNING; HEALTH CARE POLICY; HEART SURGERY; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITAL MANAGEMENT; HUMAN; INTERMETHOD COMPARISON; ITALY; MALE; MEDICAL RECORD; MEDICAL RESEARCH; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PATIENT CARE; PATIENT CODING; PATIENT INFORMATION; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; RISK MANAGEMENT; SCORING SYSTEM; STATISTICAL MODEL; SURGICAL MORTALITY;

AGED; CORONARY ARTERY BYPASS; EUROPE; FEMALE; HOSPITAL MORTALITY; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; QUALITY OF HEALTH CARE; RISK ADJUSTMENT;

EID: 1842865665     PISSN: 13534505     EISSN: None     Source Type: Journal    
DOI: 10.1093/intqhc/mzh016     Document Type: Article

References (31)

1. Black C, Roos N. Administrative data: baby or bathwater? Med Care 1998; 36: 3-5.
2. Wang P, Walker A, Tsuang M et al. Strategies for improving comorbidity measures based on Medicare and Medicaid claims data. J Clin Epidemiol 2000; 53: 571-578.
3. Sowden A, Deeks J, Sheldon T. Volume and outcome in coronary artery bypass graft surgery: true association or artefact? Br Med J 1995; 311: 151-155.
4. Romano P, Roos L, Luft H, Jollis J, Doliszny K. A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. J Clin Epidemiol 1994; 47: 249-260.
5. Ghali WA, Hall RE, Rosen AK, Ash AS, Moskowitx MA. Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data. J Clin Epidemiol 1996; 49: 273-278.
6. Kieszak S, Flanders W, Kosinski A et al. A comparison of the Charlson Comorbidity Index derived from medical record data and administrative billing data. J Clin Epidemiol 1999; 52: 137-142.
7. Powel H, Lim L, Heller R. Accuracy of administrative data to assess comorbidity in patients with heart disease: an Australian perspective. J Clin Epidemiol 2001; 54: 687-693.
8. Hannan EL, Kilburn H, Lindsey L, Lewis R. Clinical versus administrative data bases for CABG surgery: does it matter? Med Care 1992; 30: 892-907.
9. Hannan EL, Racz MJ, Jollis JG, Peterson ED. Using Medicare claims data to assess provider quality for CABG surgery; does it work well enough? Health Serv Res 1997; 31: 659-678.
10. Iezzoni LI, Ash AS, Schwartz M, Landon B, Mackernan YD. Predicting in-hospital deaths from coronary artery bypass graft surgery: do different severity measures give different predictions? Med Care 1998; 36: 28-39.
11. Roques F, Gabrielle F, Michel P et al. Quality of care in adult heart surgery: proposal for a self-assessment approach based on a French multicenter study. Eur J Cardiothorac Surg 1995; 9: 433-440.
12. Roques F, Nashef S, Michel P et al. Risk factors and outcome in European cardiac surgery: analysis of the EuroSCORE multinational database of 19030 patients. Eur J Cardiothorac Surg 1999; 15: 816-823.
13. Nashef S, Roques F, Michel P et al. European system for cardiac operative risk evaluation (EuroSCORE). Eur J Cardiothorac Surg 1999; 16: 9-13.
14. Geissler H, Hoelzl P, Marohl S et al. Risk stratification in heart surgery: comparison of six score systems. Eur J Cardiothorac Surg 2000; 17: 400-406.
15. Asimakopoulos G, Al-Ruzzeh S, Ambler G et al. An evaluation of existing risk stratification models as a tool for comparison of surgical performances for coronary artery bypass grafting between institutions. Eur J Cardiothorac Surg 2003; 23: 935-942.
16. Kawachi Y, Nakashima A, Toshima Y, Arinaga K, Kawano H. Risk stratification analysis of operative mortality in heart and thoracic aorta surgery: comparison between Parsonnet and EuroSCORE additive model. Eur J Cardiothorac Surg 2001; 20: 961-966.
17. Roques F, Nashef S, Michel P et al. Does EuroSCORE work in individual European countries? Eur J Cardiothorac Surg 2000; 18: 27-30.
18. Higgins TL, Estefanous FG, Loop FD et al. Stratification of morbidity and mortality outcome by preoperative risk factors in coronary artery bypass patients. J Am Med Assoc 1992; 267: 2344-2348.
19. Tu J, Jaglal S, Naylor D. Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery. Circulation 1995; 91: 677-684.
20. Nashef S, Roques F, Hammill BD et al. Validation of the European system for cardiac operative risk evaluation (EuroSCORE) in North American cardiac surgery. Eur J Cardiothorac Surg 2002; 22: 101-105.
21. Nobilio L, Ugolini C. Vertical integration and contractual network in the cardiovascular sector: the experience of the Italian region Emilia Romagna. Int J Integr Care 2003; 3: 1-11. (Full text available online at http://www.ijic.org).
22. Nobilio L, Ugolini C. Selective referrals in a hub and spoke institutional setting: the case of coronary angioplasty procedures. Health Policy 2003; 63: 95-107.
23. Nobilio L, Ugolini C. Different regional organisational models and quality of health care: the case of coronary artery bypass graft surgery. J Health Serv Res Policy 2003; 8: 25-32.
24. SAS User's Guide, Version 5. Cary, NC: SAS Institute, 1991.
25. Charlson M, Pompei P, Ales K, McKenzie C. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis 1987; 40: 373-383.
26. Romano P, Roos L, Jollis J. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol 1993; 46: 1075-1079.
27. Romano P, Roos L, Jollis J. Further evidence concerning the use of a clinical comorbidity index with ICD-9-CM administrative data. J Clin Epidemiol 1993; 46: 1085-1090.
28. Elixhauser A, Steiner C, Harris R, Coffey R. Comorbidity measures for use with administrative data. Med Care 1998; 36: 1, 8-27.
29. O'Connell R, Lim Y. Utility of the Charlson Comorbidity Index computed from routinely collected hospital discharge diagnosis code. Methods Info Med 2000; 39: 7-11.
30. Hosmer DW, Lemeshow S. Applied Logistic Regression. New York, NY: John Wiley & Sons, 1989.
31. Iezzoni L. Risk Adjustment for Measuring Healthcare Outcomes. Chicago, IL: Health Administrative Press, 1997.