Korea Journal of Hospital Management (한국병원경영학회지)

Korean Society of Hospital Management (한국병원경영학회)
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The Prediction of Health care Outcome of Total Hip Replacement Arthroplasty Patients using Charlson Comorbidity Index

Charlson Comorbidity Index를 활용한 고관절치환술 환자의 건강결과 예측

  • Choi, Won-Ho (Department of Public Health, The Graduate School of Korea University) ;
  • Yoon, Seok-Jun (Department of Preventive Medicine, College of Medicine, Korea University.Graduate School of Public Health, Korea University) ;
  • Ahn, Hyeong-Sik (Department of Preventive Medicine, College of Medicine, Korea University.Graduate School of Public Health, Korea University) ;
  • Kyung, Min-Ho (Department of Preventive Medicine, College of Medicine, Korea University.Graduate School of Public Health, Korea University) ;
  • Kim, Kyung-Hun (Department of Public Health, The Graduate School of Korea University) ;
  • Kim, Kyeong-Uoon (Department of Nursing, Kkottongnae Hyundo University of Social Welfare)
  • 최원호 (고려대학교 대학원 보건학협동과정) ;
  • 윤석준 (고려대학교 의과대한 예방의학교실.고려대학교 보건대학원) ;
  • 안형식 (고려대학교 의과대한 예방의학교실.고려대학교 보건대학원) ;
  • 경민호 (고려대학교 의과대한 예방의학교실.고려대학교 보건대학원) ;
  • 김경훈 (고려대학교 대학원 보건학협동과정) ;
  • 김경운 (꽃동네 현도사회복지 대학교 간호학과)
  • Published : 2009.03.30
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Abstract

The objectives of the present study is to examine the validity of Charlson Comorbidity Index(CCI) based on medical record data; to utilize the index to determine outcome indexes such as mortality, length of stay and cost for the domestic patients whose have received total hip arthroplasty. Based on medical record date, 1-year Mortality was analyzed to be 0.664 of C statistic. The $R^2$ for the predictability for length of stay and the cost was about 0.0181, 0.1842. Fee of national health insurance and total cost including the cost not covered by insurance, also had statistically significance above 3 points of Charlson point score(p=0.0290, 0.0472; $p.{\le}0.05$). The 1-year mortality index, length of stay and cost of the total hip arthroplasty patients which was obtained utilizing CCI have a limitative prediction power and therefore should be carefully analyzed for use.

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