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J Crit Care. 2009 Dec;24(4):523-9. doi: 10.1016/j.jcrc.2008.11.006. Epub 2009 Feb 20.

Effect of a clinical decision support system on adherence to a lower tidal volume mechanical ventilation strategy.

Author information

  • 1Department of Medical Informatics, Academic Medical Center, Universiteit van Amsterdam, 1105 AZ Amsterdam, The Netherlands. s.eslami@amc.uva.nl

Abstract

PURPOSE:

The purpose of the study was to measure the effect of a computerized decision support system (CDSS) on adherence to tidal volume (V(T)) recommendations.

MATERIALS AND METHODS:

We performed a prospective before-after evaluation study on applied V(T) to examine the impact of a CDSS on adherence to our local protocol in a 30-bed mixed medical-surgical intensive care unit of a university hospital. All intensive care unit patients who were intubated and mechanically ventilated for at least 1 hour were included.

RESULTS:

A total of 3 663 674 V(T) records of 696 patients were analyzed. The average volume greater than 6 mL/kg predicted body weight (PBW) and the mean percentage of ventilation time with V(T) greater than 6 mL/kg PBW decreased after intervention by 6.0% and 3.4%, respectively (not significant). A stronger effect of the decision support intervention was found among patients with longer duration of mechanical ventilation (>24 hours): for these patients, the average V(T) in exceeding 6 mL/kg PBW and the mean percentage of ventilation time with V(T) greater than 6 mL/kg PBW decreased after intervention by 18.3% (P = .01) and 9.5% (P = .01), respectively. In this group, the mean percentage of ventilation time with V(T) records between 8 and 10, between 10 and 12, and greater than 12 mL/kg PBW decreased by 21.8% (P = .006), 21.5% (P = .047), and 24.7% (P = .155), respectively.

CONCLUSIONS:

The use of a CDSS, integrated in a patient data management system, improves implementation of a lower V(T) mechanical ventilation strategy for patients ventilated for longer than 24 hours.

PMID:
19327326
[PubMed - indexed for MEDLINE]
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