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http://dx.doi.org/10.12811/kshsm.2019.13.3.013

Root Cause Analysis of Medical Accidents -Using Medical Accident Cases  

KIM, Seon-Nyeo (Medical Management Institute Pusan National University)
Cho, Duk-Young (School of Medicine Pusan National University)
Publication Information
The Korean Journal of Health Service Management / v.13, no.3, 2019 , pp. 13-26 More about this Journal
Abstract
Objectives: To investigate whether medical institutions can prevent accidents by analyzing the root cause of a medical accident and identifying the tendencies. Methods: A total of 345 medical cases were used for the RCA(Root Cause Analysis). The root causes were classified using the SHELL model. The suitability of the model was confirmed by SPSS's MDPREF and Euclidean distance. An SPSS20.0 hierarchical regression analysis was used as an influencing factor on the degree of injury resulting from medical accidents. Results: The SHELL model was suitable for classification. The rates of accident causes were LS49%, L34%, LL10.2%, LE3.7%, LH2.3%. The order in which the degree of a patient's injury was affected were: Risk Threshold (${\beta}=.180$), Time (${\beta}=.175$), Surgical stage (${\beta}=-.166$), Do not use procedure (${\beta}=.147$). Conclusions: Health care institutions should remove priorities through system improvement and training. For patients' safety, the five factors of the SHELL model should be managed in harmony.
Keywords
Medical accident; Root Cause Analysis; Patient Safety; SHELL model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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