• Title/Summary/Keyword: 의료기관 중증도 보정 사망률

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The Comparison of Risk-adjusted Mortality Rate between Korea and United States (한국과 미국 의료기관의 중증도 보정 사망률 비교)

  • Chung, Tae-Kyoung;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.371-384
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    • 2013
  • The purpose of this study was to develop the risk-adjusted mortality model using Korean Hospital Discharge Injury data and US National Hospital Discharge Survey data and to suggest some ways to manage hospital mortality rates through comparison of Korea and United States Hospital Standardized Mortality Ratios(HSMR). This study used data mining techniques, decision tree and logistic regression, for developing Korea and United States risk-adjustment model of in-hospital mortality. By comparing Hospital Standardized Mortality Ratio(HSMR) with standardized variables, analysis shows the concrete differences between the two countries. While Korean Hospital Standardized Mortality Ratio(HSMR) is increasing every year(101.0 in 2006, 101.3 in 2007, 103.3 in 2008), HSMR appeared to be reduced in the United States(102.3 in 2006, 100.7 in 2007, 95.9 in 2008). Korean Hospital Standardized Mortality Ratios(HSMR) by hospital beds were higher than that of the United States. A two-aspect approach to management of hospital mortality rates is suggested; national and hospital levels. The government is to release Hospital Standardized Mortality Ratio(HSMR) of large hospitals and to offer consulting on effective hospital mortality management to small and medium hospitals.

Comparison of Hospital Standardized Mortality Ratio Using National Hospital Discharge Injury Data (퇴원손상심층조사 자료를 이용한 의료기관 중증도 보정 사망비 비교)

  • Park, Jong-Ho;Kim, Yoo-Mi;Kim, Sung-Soo;Kim, Won-Joong;Kang, Sung-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.4
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    • pp.1739-1750
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    • 2012
  • This study was to develop the assessment of medical service outcome using administration data through compared with hospital standardized mortality ratios(HSMR) in various hospitals. This study analyzed 63,664 cases of Hospital Discharge Injury Data of 2007 and 2008, provided by Korea Centers for Disease Control and Prevention. We used data mining technique and compared decision tree and logistic regression for developing risk-adjustment model of in-hospital mortality. Our Analysis shows that gender, length of stay, Elixhauser comorbidity index, hospitalization path, and primary diagnosis are main variables which influence mortality ratio. By comparing hospital standardized mortality ratios(HSMR) with standardized variables, we found concrete differences (55.6-201.6) of hospital standardized mortality ratios(HSMR) among hospitals. This proves that there are quality-gaps of medical service among hospitals. This study outcome should be utilized more to achieve the improvement of the quality of medical service.