Analyzing Hospital High Length of Stay Outliers in Turkey

Authors : Pakize YIGIT, Sabahattin AYDIN, Hasan GÜLER

Pages : 903-912

Doi:10.30621/jbachs.1159299

View : 16 | Download : 6

Publication Date : 2022-09-29

Article Type : Research Paper

Abstract :Purpose: The aim of this study is to examine length of stay insert ignore into journalissuearticles values(LOS); outliers by analyzing hospital administrative database. Material and Methods: The Turkish Ministry of Health DRG grouper database was utilized to obtain hospital administrative data on discharges for 15 training and research hospitals in 2012. For each diagnosis-related group insert ignore into journalissuearticles values(DRG);, the geometric mean plus two standard deviations were calculated to identify outliers. Analyses were conducted using descriptive statistics and logistic regression using generalized estimating equations insert ignore into journalissuearticles values(GEE);. Results: High LOS outliers found to be 4.4 % of the cases, they were responsible for 24.50 percent of all discharge days. Alcohol, drug use disorders, burns, and diseases of the ear, nose, mouth, and throat were the factors that had the greatest impact on high LOS outliers, according to the multivariate model. Conclusion: A quarter of all inpatient days are made up of LOS outliers. Burns, neonate cases, and alcohol/drug use issues should all be carefully evaluated. In order to improve clinical quality and effectively manage hospital resources, hospital administrators and health policy makers should take length of stay outliers into consideration.
Keywords : Case mix, Diagnosis Related Groups, DRG Outliers, Hospital Financial Management, Length of Stay