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• W2601635162 abstract "This study aimed to identify risk factors of unplanned extubation in intensive care unit (ICU) patients with mechanical ventilation using a patient safety model.This study was designed to be a case-control study. Data collection sheets, including 29 risk factors of unplanned extubation in mechanically ventilation patients were retrospectively collected based on a patient safety model over 3 years. From 41,207 mechanically ventilated patients, 230 patients were identified to have unplanned extubation during their ICU stay. Based on the characteristics of the cohort of 230 patients who had unplanned extubation, 460 case control comparison groups with planned extubation were selected by matching age, gender and diagnosis.Risk factors of unplanned extubation were categorized as people, technologies, tasks, environmental factors and organizational factors, by five components of the patient safety model. The results showed the risk factors of unplanned extubation as admission route [odds ratio (OR) = 1.8], Glasgow Coma Scale-motor (OR = 1.3), Acute Physiology and Chronic Health Evaluation score (OR = 1.06), agitation (OR = 9.0), delirium (OR = 11.6), mode of mechanical ventilation (OR = 3.0-4.1) and night shifts (OR = 6.0). The significant differences were found between the unplanned and the planned extubation groups on the number of reintubation (4.3% vs. 79.6%, p < .001), ICU outcome at the time of discharge (χ2 = 50.7, p < .001), and length of stay in the ICU (27.0 ± 33.0 vs. 43.8 ± 43.5) after unplanned extubation.ICU nurses should be able to recognize the risk factors of unplanned extubation related with the components of the safety model so as to improve patient safety by minimizing the risk for unplanned extubation." @default.
• W2601635162 created "2017-04-07" @default.
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• W2601635162 date "2017-03-01" @default.
• W2601635162 modified "2023-10-04" @default.
• W2601635162 title "Case-control Study on Risk Factors of Unplanned Extubation Based on Patient Safety Model in Critically Ill Patients with Mechanical Ventilation" @default.
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• W2601635162 doi "https://doi.org/10.1016/j.anr.2017.03.004" @default.
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