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http://dx.doi.org/10.14400/JDC.2015.13.2.215

Development of severity-adjusted length of stay in knee replacement surgery  

Hong, Sung-Ok (Korea Centers for Disease Control & Prevention)
Kim, Young-Teak (Korea Centers for Disease Control & Prevention)
Choi, Youn-Hee (The Dong-Eui Institute of Technology)
Park, Jong-Ho (Dongsan Medical Center)
Kang, Sung-Hong (Inje University)
Publication Information
Journal of Digital Convergence / v.13, no.2, 2015 , pp. 215-225 More about this Journal
Abstract
This study was conducted to develop a severity-adjusted LOS(Length of Stay) model for knee replacement patients and identify factors that can influence the LOS by using the Korean National Hospital Discharge in-depth Injury Survey data. The comorbidity scoring systems and data-mining methods were used to design a severity-adjusted LOS model which covered 4,102 knee replacement patients. In this study, a decision tree model using CCS comorbidity scoring index was chosen for the final model that produced superior results. Factors such as presence of arthritis, patient sex and admission route etc. influenced patient length of stay. And there was a statistically significant difference between real LOS and adjusted LOS resulted from health-insurance type, bed size, and hospital location. Therefore the policy alternative on excessive medical utilization is needed to reduce variation in length of hospital stay in patients who undergo knee replacement.
Keywords
Knee replacement; LOS(length of stay); severity-adjusted model; Data-mining; Variation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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