No effect of time of day at presentation to the emergency department on the outcome of patients who are admitted to the intensive care unit

Emerg Med Australas. 2011 Feb;23(1):33-8. doi: 10.1111/j.1742-6723.2010.01371.x. Epub 2011 Jan 20.

Abstract

Objectives: To determine if an association exists between the time of day when a patient presents to ED and their outcome for those admitted directly to the ICU.

Methods: We performed a retrospective cohort study on all patients admitted to the ICU directly from the ED from 1 July 2006 to 30 June 2008, using data from the ED and ICU databases in a single institution. Comparisons of mortality, length of stay in the ED, ICU, hospital and time on a ventilator were made based on the time of presentation.

Results: A total of 400 patients were admitted to ICU from the ED. There was no evidence of a difference in mortality between those presenting between midnight and 8 am, 8 am and 4 pm or 4 pm and midnight (23.2%, 22.8%, 19.5%, respectively, P= 0.71), or for those presenting during office hours (8 am-4 pm Monday to Friday) or outside office hours (26.1% and 20.2%, respectively, P= 0.23). There were no differences in time on a ventilator, or length of stay in ED, intensive care and hospital.

Conclusions: The time of day patients arrive at the ED has no association with length of stay in ED, intensive care or hospital, time on the ventilator, or mortality for those who are admitted to the ICU.

Publication types

  • Comparative Study

MeSH terms

  • APACHE
  • Academic Medical Centers
  • Adult
  • After-Hours Care
  • Data Interpretation, Statistical
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Hospital Mortality / trends
  • Hospitals, Urban
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Length of Stay / statistics & numerical data
  • Length of Stay / trends*
  • Male
  • Medical Records Systems, Computerized
  • Medical Staff, Hospital / standards
  • New South Wales
  • Patient Admission / statistics & numerical data*
  • Patient Admission / trends
  • Personnel Staffing and Scheduling
  • Respiration, Artificial / methods*
  • Retrospective Studies
  • Time Factors
  • Treatment Outcome*