J Korean Crit Care Nurs.  2018 Oct;11(3):45-57. 10.0000/jkccn.2018.11.3.45.

Case Control Study Identifying the Predictors of Unplanned Intensive Care Unit Readmission After Discharge

Affiliations
  • 1Doctoral Candidate, Department of Nursing, Inha University, Incheon, Korea. poohgirl98@hanmail.net
  • 2Professor, Department of Nursing, Inha University, Incheon, Korea.

Abstract

PURPOSE
This study was performed to identify the influencing factors of unplanned intensive care unit (ICU) readmission. METHOD: The study adopted a Rretrospective case control cohort design. Data were collected from the electronic medical records of 844 patients who had been discharged from the ICUs of a university hospital in Incheon from June 2014 to December 2014.
RESULTS
The study found the unplanned ICU readmission rate was to be 6.4%(n=54). From the univariate analysis revealed that, major symptoms at 1(st) ICU admission, severity at 1(st) ICU admission (CPSCS and APACHEII), duration of applying ventilator application during 1(st) ICU admission, severity at 1(st) discharge from ICU (CPSCS, APACHEII, and GCS), and application of FiOâ‚‚ with oxygen therapy, implementation of sputum expectoration methods, and length of stay of ICU at 1(st) ICU discharge were appeared to be significant; further, decision tree model analysis revealed that while only 4 variables (sputum expectoration methods, length of stay of ICU, FiOâ‚‚ with oxygen therapy at 1(st) ICU discharge, and major symptoms at 1(st) ICU admission) were shown to be significant.
CONCLUSION
Since sputum expectoration method was the most important factor to predictor of unplanned ICU readmission, a assessment tool for the patients' capability of sputum expectoration needs to should be developed and implemented, and standardized ICU discharge criteria, including the factors identified from the by empirical evidences, might should be developed to decrease the unplanned ICU readmission rate.

Keyword

Intensive care unit; Readmission; Decision tree model

MeSH Terms

Case-Control Studies*
Cohort Studies
Critical Care*
Decision Trees
Electronic Health Records
Humans
Incheon
Intensive Care Units*
Length of Stay
Methods
Oxygen
Sputum
Ventilators, Mechanical
Oxygen
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