| 
	
		
				
			
				Patient Severity Classification in a Medical ICU using APACHE III and Patient Severity Classification Tool														
			
			Kyeong Ok Lee, Hyeon Ju Shin, Hyeoun Ae Park, Hyeon Myeong Jeong, Mi Hye Lee, Eun Ha Choi, Jeong Mi Lee, Yu Ja Kim, Yun Kyeong Sim, Kyi Ju Park			
				Journal of Korean Academy of Nursing 2000;30(5):1243-1253.   Published online March 29, 2017			
									DOI: https://doi.org/10.4040/jkan.2000.30.5.1243
							
							 
				
										
										 Abstract  PDF
The purpose of this study was to verify the validity of the Patient Severity Classification Tool by examining 
the correlations between the APACHE III and the Patient Severity Classification Tool and to propose admission 
criteria to the ICU. 
The instruments used for this study were the APACHE III developed by Knaus and thePatient 
Severity Classification Tool developed by Korean Clinical Nurses Association. Data was collected from the 
156 Medical ICU patients during their first 24 hours of admission at the Seoul National University 
Hospital by three trained Medical ICU nurses from April 20 to August 31 1999. Data were analyzed using 
the frequency, X2, Wilcoxon rank sum test, and Spearman rho. 
There was statistically significant correlations between the scores of the APACHE III and the Patient 
Severity Classification Tool. Mortality rate was increased as patients classification of severity in both the 
APACHE III and the Patient Severity Classification Tool scored higher. The Patient Severity Classification 
Tool was proved to be a valid and reliable tool, and a useful tool as one of the severity predicting factors, 
ICU admission criteria, information sharing between ICUs, quality evaluations of ICUs, and ICU nurse 
staffing.
1) This paper was awarded the first prize at the Seoul National Hospital Nursing Department Research 
Contest.
					Citations Citations to this article as recorded by   Development of a patient classification system for critical care nursing based on nursing intensityYukyung Ko, Bohyun Park, Hanju Lee, Donghwan Kim
 International Journal of Nursing Practice.2023;[Epub]     CrossRef
Integrative literature review of patient classification tools for nursing intensity evaluation: Focusing on comparison of South Korean and international toolsYukyung Ko, Bohyun Park
 Nursing Open.2021; 8(5): 2105.     CrossRef
Critical Patient Severity Classification System predicts outcomes in intensive care unit patientsMona Choi, Hyeong Suk Lee
 Nursing in Critical Care.2016; 21(4): 206.     CrossRef
Understanding the Nature of Medication Errors in an ICU with a Computerized Physician Order Entry SystemInsook Cho, Hyeok Park, Youn Jeong Choi, Mi Heui Hwang, David W. Bates, Jorge I.F. Salluh
 PLoS ONE.2014; 9(12): e114243.     CrossRef
Comparison of Related Characteristics between Unplanned and Planned Extubation of Patients in Medical Intensive UnitHyo Im Cho, Young Whee Lee, Hwa Soon Kim, Bo-Yun Sim
 Korean Journal of Adult Nursing.2012; 24(5): 509.     CrossRef
Predictive Effects of Previous Fall History on Accuracy of Fall Risk Assessment Tool in Acute Care SettingsIhn Sook Park
 Journal of Korean Academy of Fundamentals of Nursing.2012; 19(4): 444.     CrossRef
Predictive Bayesian Network Model Using Electronic Patient Records for Prevention of Hospital-Acquired Pressure UlcersIn Sook Cho, Eunja Chung
 Journal of Korean Academy of Nursing.2011; 41(3): 423.     CrossRef
Braden Scale: evaluation of clinical usefulness in an intensive care unitInSook Cho, Maengseok Noh
 Journal of Advanced Nursing.2010; 66(2): 293.     CrossRef
 
		
			553
			View
		
			3
			Download
		
			8
			Crossref
		 |