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정소영 ( Jeong So-Young ) - Pusan National University Yangsan Hospital Department of Nursing
윤정미 ( Yun Jung-Mi ) - Pusan National University College of Nursing
김명희 ( Kim Myung-Hee ) - Pusan National University College of Nursing
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Abstract
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Purpose: This study aimed to identify factors affecting the increase in the National Early Warning Score (NEWS) of patients after discharge from the medical intensive care unit (MICU).
Methods: The study covered 210 adult patients who had been discharged from the MICU of P University Hospital in Y city between June 1, 2017 and June 30, 2018. The data were collected from the electronic medical records to investigate general characteristics, clinical characteristics, discharge-related characteristics, and NEWS. The data were analyzed using descriptive statistics, Mann-Whitney U test, x 2 test, and logistic regression analysis using the SPSS 23.0 program.
Results: Out of 210 patients, 42 patients (20.0%) showed an increase in NEWS within 72 hours of discharge from MICU. Logistic regression analysis was performed considering usage of ventilator, tracheostomy tube, and inotropic drugs; length of stay in the ICU; and NEWS before discharge from the ICU as independent variables. Factors predicting the increase in NEWS after discharge from the ICU were tracheostomy (OR=3.58, 95% CI=1.65~7.77) and pre-discharge NEWS (OR=1.35, 95% CI=1.14~1.60).
Conclusion: NEWS before discharge from the intensive care unit can be used to detect and predict the early deterioration of a patient's condition after transfer to the general ward.
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KeyWords
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Intensive care units, Electronic health record, Clinical deterioration, Early warning scor
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원문 및 링크아웃 정보
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등재저널 정보
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