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KMID : 1170320130190020081
Korean Journal of Health Economics and Policy
2013 Volume.19 No. 2 p.81 ~ p.96
Factors influencing High Length of Stay Outlier
Kim Sang-Mi

Hwang Sung-Wan
Abstract
Background: It is important for the hospital mangers and policymakers to control the length of stay (LOS) outliers. The aim of this study was to find factors that explain length of stay outliers. Methods: This study targeted 700,091 cases based on the system data from In-depth Injury survey data by the Korea National Hospital Centers for the Korean National Hospital Discharge In-depth Injury Survey data from 2005 to 2008. The dependent variable, LOS outliers, was calculated for each diagnostic group using a trim point defined for each year by the geometric mean plus two standard deviations. Logistic regression model were used in the analysis. Results: In inpatient episodes analysed we found a proportion of 2.2% high LOS outliers, accounting for 20.0% of total inpatient days. The proportion of LOS outliers slightly decreased between years 2005 and 2008. Conclusions: As high LOS outliers represent an important proportion in the total inpatient days, this should be seen as an important alert for the management of hospitals and for national health policies. There is a need for a different policy approach to managing the length of hospital stay so that hospitals can maintain profits and perform their inherent role of providing good-quality treatment.
KEYWORD
Length of stay outliers, Administrative data, Hospital management, Case mix, Diagnosis category
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