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A Convergence Study in the Severity-adjusted Mortality Ratio on inpatients with multiple chronic conditions
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  • Journal title : Journal of Digital Convergence
  • Volume 13, Issue 12,  2015, pp.245-257
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2015.13.12.245
 Title & Authors
A Convergence Study in the Severity-adjusted Mortality Ratio on inpatients with multiple chronic conditions
Seo, Young-Suk; Kang, Sung-Hong;
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 Abstract
This study was to develop the predictive model for severity-adjusted mortality of inpatients with multiple chronic conditions and analyse the factors on the variation of hospital standardized mortality ratio(HSMR) to propose the plan to reduce the variation. We collect the data "Korean National Hospital Discharge In-depth Injury Survey" from 2008 to 2010 and select the final 110,700 objects of study who have chronic diseases for principal diagnosis and who are over the age of 30 with more than 2 chronic diseases including principal diagnosis. We designed a severity-adjusted mortality predictive model with using data-mining methods (logistic regression analysis, decision tree and neural network method). In this study, we used the predictive model for severity-adjusted mortality ratio by the decision tree using Elixhauser comorbidity index. As the result of the hospital standardized mortality ratio(HSMR) of inpatients with multiple chronic conditions, there were statistically significant differences in HSMR by the insurance type, bed number of hospital, and the location of hospital. We should find the method based on the result of this study to manage mortality ratio of inpatients with multiple chronic conditions efficiently as the national level. So we should make an effort to increase the quality of medical treatment for inpatients with multiple chronic diseases and to reduce growing medical expenses.
 Keywords
Multiple Chronic Conditions;Comorbidity Index;Hospital Standardized Mortality Ratio(HSMR);Korean National Hospital Discharge In-depth Injury Survey;Convergency study;
 Language
Korean
 Cited by
1.
국민건강영양조사를 활용한 대사증후군 유병 예측모형 개발을 위한 융복합 연구: 데이터마이닝을 활용하여,김한결;최근호;임성원;이현실;

디지털융복합연구, 2016. vol.14. 2, pp.325-332 crossref(new window)
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