Improving glycemic control with the adjunct use of a data management software program

AACN Adv Crit Care. 2012 Oct-Dec;23(4):362-9. doi: 10.1097/NCI.0b013e31825d5dc8.

Abstract

Background: Published studies have supported the implementation of tight glucose control (TGC) programs to improve patient outcomes and reduce mortality rates. However, measuring a program's efficiency is challenging, because of a lack of systems that capture data, allow access to data, and support analysis and interpretation in a near prospective time frame. We hypothesized that providing clinicians access to real-time blood glucose (BG) results reports could improve the efficacy of our TGC program.

Methods: We performed a retrospective review of BG data during a 12-month period in a surgical trauma intensive care unit at a level I trauma center. A unit-specific insulin algorithm was used throughout the study. We compared BG values before and after the implementation of a data management software program that allowed clinicians access to real-time BG results reports. Reports were run daily and weekly to monitor the unit's TGC program.

Results: A total of 70 616 BG values from 1044 patients were analyzed. An overall decrease was observed in the BG level mean, from 121 mg/dL to 112 mg/dL (P < .001), as well as a decrease in the aggregated mean across patients, from 132 mg/dL to 119 mg/dL (P < .001), after implementation of the software. The percentage of values within the target range of 80 to 110 mg/dL increased from 38.9% to 50.4% (P < .001). The percentage of BG values less than 70 increased from 2.7% to 3.4% (P < .001). However, the percentage of severe hypoglyce-mic episodes (≤ 40 mg/dL) remained unchanged.

Conclusions: Access to real-time aggregated BG data reports through the use of a data management software program improved the efficacy of our TGC program.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms
  • Blood Glucose / analysis*
  • Clinical Laboratory Information Systems*
  • Diabetes Mellitus / blood
  • Female
  • Humans
  • Intensive Care Units
  • Male
  • Patient Care Team / organization & administration
  • Point-of-Care Systems
  • Quality Improvement
  • Retrospective Studies
  • Software*

Substances

  • Blood Glucose