The Structural Equation Model of Organizational Culture, Authentic Leadership, Self-Esteem, and Bullying in Nurses at Critical Care Units / 임상간호연구

PURPOSE@#The purpose of this study were to identify the influential factors of bullying of intensive care nurses and to suggest a final structural model based on identified relationships between nursing organizational culture, authentic leadership, self-esteem, and bullying in the workplace.@*METHODS@#Data were collected from 221 nurses at intensive care units in eight general hospitals using structured questionnaires and analyzed by structural equation modeling.@*RESULTS@#In this study, the average of bullying in the workplace was 1.34±0.40, nursing organizational culture was 3.31±0.47, self-esteem was 2.79±0.44, and authentic leadership was 3.61±0.60. The factors affecting nursing organizational culture were authentic leadership (β=.54, p<.001) and self-esteem (β=.24, p=.002) that had direct positive effects on the nursing organizational culture. The nursing organizational culture had also a direct effect on reducing workplace bullying (β=−.45, p<.001). Authentic leadership (β=−.24, p=.004) and self-esteem (β=−.11, p=.004) had indirect effects on workplace bullying, which was mediated by the nursing organizational culture.@*CONCLUSION@#To understand and reduce workplace bullying, evaluating a nursing organizational culture should be preceded. Based on the finding of this study, an intervention for increasing authentic leadership and self-esteem of nurses can positively help to create the nursing organizational culture and then reduce workplace bullying.

Model for Unplanned Self Extubation of ICU Patients Using System Dynamics Approach

PURPOSE: In this study a system dynamics methodology was used to identify correlation and nonlinear feedback structure among factors affecting unplanned extubation (UE) of ICU patients and to construct and verify a simulation model. METHODS: Factors affecting UE were identified through a theoretical background established by reviewing literature and preceding studies and referencing various statistical data. Related variables were decided through verification of content validity by an expert group. A causal loop diagram (CLD) was made based on the variables. Stock & Flow modeling using Vensim PLE Plus Version 6.0b was performed to establish a model for UE. RESULTS: Based on the literature review and expert verification, 18 variables associated with UE were identified and CLD was prepared. From the prepared CLD, a model was developed by converting to the Stock & Flow Diagram. Results of the simulation showed that patient stress, patient in an agitated state, restraint application, patient movability, and individual intensive nursing were variables giving the greatest effect to UE probability. To verify agreement of the UE model with real situations, simulation with 5 cases was performed. Equation check and sensitivity analysis on TIME STEP were executed to validate model integrity. CONCLUSION: Results show that identification of a proper model enables prediction of UE probability. This prediction allows for adjustment of related factors, and provides basic data do develop nursing interventions to decrease UE.