Journal of Korean Academy of Nursing (대한간호학회지)

Korean Society of Nursing Science (한국간호과학회)
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Model for Unplanned Self Extubation of ICU Patients Using System Dynamics Approach

시스템다이내믹스를 활용한 중환자실 환자의 비계획적 자가 발관 모델

  • Song, Yu Gil (College of Nursing Science, Kyung Hee University) ;
  • Yun, Eun Kyoung (College of Nursing Science.East-West Nursing Research Institute, Kyung Hee University)
  • 송유길 (경희대학교 간호과학대학) ;
  • 윤은경 (경희대학교 간호과학대학.동서간호학 연구소)
  • Received : 2014.10.02
  • Accepted : 2015.02.02
  • Published : 2015.04.30
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Abstract

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.

Keywords

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