Comparison of risk-adjustment models using administrative or clinical data for outcome prediction in patients after myocardial infarction or coronary bypass surgery in Korea

International Journal of Clinical Practice

Volumn 61, Issue 7, 2007, Pages 1086-1090

  Park, H K ^a   Yoon, S J ^b   Ahn, H S ^b   Ahn, L S ^c   Seo, H J ^c   Lee, S I ^d   Lee, K S ^e  

^a Jeju National University   (South Korea)

^b Korea University College of Medicine   (South Korea)

^c Korea University   (South Korea)

^d University of Ulsan College of Medicine   (South Korea)

^e Konkuk University School of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; CORONARY ARTERY BYPASS SURGERY; HEALTH CARE QUALITY; HEALTH INSURANCE; HEART INFARCTION; HOSPITAL DISCHARGE; HUMAN; KOREA; LOGISTIC REGRESSION ANALYSIS; MORTALITY; PREDICTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SEX DIFFERENCE; STATISTICAL ANALYSIS; TREATMENT OUTCOME;

ADULT; AGED; CORONARY ARTERY BYPASS; FEMALE; HUMANS; KOREA; LOGISTIC MODELS; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; PROGNOSIS; QUALITY INDICATORS, HEALTH CARE; RETROSPECTIVE STUDIES; RISK ADJUSTMENT; TREATMENT OUTCOME;

EID: 34250637231     PISSN: 13685031     EISSN: 17421241     Source Type: Journal    
DOI: 10.1111/j.1742-1241.2007.01345.x     Document Type: Article

References (20)

1. Hannan EL, Kilburn H, Lindsey ML. Clinical versus administrative data bases for CABG surgery. Does it matter? Med Care 1992 30: 892 907.
2. Hartz AJ, Kuhn EM. Comparing hospitals that perform coronary artery bypass graft surgery: the effect of outcome measures and data sources. Am J Public health 1994 84: 1609 14.
3. Hannan EL, Racz MJ, Jollis JG. Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough? Health Serv Res 1997 31: 659 78.
4. Geraci JM, Johnson ML, Gordon HS et al. Mortality after cardiac bypass surgery: prediction from administrative versus clinical data. Med Care 2005 43: 149 58.
5. Smith DW, Pine M, Bailey RC, Jones B, Brewster A, Krakauer H. Using clinical variables to estimate the risk of patient mortality. Med Care 1991 29: 1108 29.
6. Pine M, Norusis M, Jones B, Rosenthal GE. Predictions of hospital mortality rates: a comparison of data sources. Ann Intern Med 1997 126: 347 54.
7. Ghali WA, Rothwell DM, Quan H, Brant R, Tu JV. A Canadian comparison of data sources for coronary artery bypass surgery outcome ''report card''. Am Heart J 2000 140: 402 8.
8. Iezzoni LI. Dimensions of risk. In: Iezzoni LI, ed. Risk Adjustment for Measuring Healthcare Outcomes, 2nd edn. Chicago, IL: Healthcare Administration Press, 1997: 116 67.
9. Horn SD, Horn RA. The Computerized Severity Index. A new tool for case-mix management. J Med Syst 1986 10: 73 8.
10. Maureen S. Severity. In: Robert LK, ed. Understanding Health Care Outcomes Research. Gaithersburg: An Aspen Publication, 1997: 149.
11. Steen PM, Brewster AC, Bradbury RC, Estabrook E, Young JA. Predicted probabilities of hospital death as a measure of admission severity of illness. Inquiry 1993 30: 128 41.
12. Iezzoni LI. Dimensions of risk. In: Iezzoni LI, ed. Risk Adjustment for Measuring Healthcare Outcomes, 2nd edn. Chicago, IL: Healthcare Administration Press, 1997: 69.
13. Park HK, Ahn HS, Yoon SJ et al. Comparing risk-adjusted hospital mortality for CABG and AMI patients. J Int Med Res 2005 33: 425 33.
14. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982 143: 29 36.
15. Lemeshow S, Hosmer DW Jr. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol 1982 115: 92 106.
16. Ugolini C, Nobilio L. Risk adjustment for coronary artery bypass graft surgery: an administrative approach versus EuroSCORE. Int J Qual Health care 2004 16: 157 64.
17. Gordon HS, Johnson ML, Wray NP et al. Mortality after noncardiac surgery: prediction from administrative versus clinical data. Med Care 2005 43: 159 67.
18. Smith M. Severity. In: Robert LK, ed. Understanding Health Care Outcomes Research. Gaithersburg: An Aspen Publication, 1997: 146.
19. Kwon YD, Ahn HS, Shin YS. Severity measurement methods and comparing hospital death rates. Korean J Prev Med 2001: 34: 244 52 (Korean).
20. Needham DM, Scales DC, Laupacis A, Pronovost PJ. A systematic review of the Charlson comorbidity index using Canadian administrative databases: a perspective on risk adjustment in critical care research. J Crit Care 2005 20: 12 9.