The effect of a computerized prescribing and calculating system on hypo- and hyperglycemias and on prescribing time efficiency in neonatal intensive care patients

JPEN J Parenter Enteral Nutr. 2013 Jan;37(1):85-91. doi: 10.1177/0148607112444608. Epub 2012 Apr 25.

Abstract

Background: Prescribing glucose requires complex calculations because glucose is present in parenteral and enteral nutrition and drug vehicles, making it error prone and contributing to the burden of prescribing errors.

Objective: Evaluation of the impact of a computerized physician order entry (CPOE) system with clinical decision support (CDS) for glucose control in neonatal intensive care patients (NICU) focusing on hypo- and hyperglycemic episodes and prescribing time efficiency.

Methods: An interrupted time-series design to examine the effect of CPOE on hypo- and hyperglycemias and a crossover simulation study to examine the influence of CPOE on prescribing time efficiency. NICU patients at risk for glucose imbalance hospitalized at the University Medical Center Utrecht during 2001-2007 were selected. The risks of hypo- and hyperglycemias were expressed as incidences per 100 patient days in consecutive 3-month intervals during 3 years before and after CPOE implementation. To assess prescribing time efficiency, time needed to calculate glucose intake with and without CPOE was measured.

Results: No significant difference was found between pre- and post-CPOE mean incidences of hypo- and hyperglycemias per 100 hospital days of neonates at risk in every 3-month period (hypoglycemias, 4.0 [95% confidence interval, 3.2-4.8] pre-CPOE and 3.1 [2.7-3.5] post-CPOE, P = .88; hyperglycemias, 6.0 [4.3-7.7] pre-CPOE and 5.0 [3.7-6.3] post-CPOE, P = .75). CPOE led to a significant time reduction of 16% (1.3 [0.3-2.3] minutes) for simple and 60% (8.6 [5.1-12.1] minutes) for complex calculations.

Conclusions: CPOE including a special CDS tool preserved accuracy for calculation and control of glucose intake and increased prescribing time efficiency.

Publication types

  • Evaluation Study

MeSH terms

  • Decision Support Systems, Clinical*
  • Efficiency
  • Female
  • Glucose / administration & dosage*
  • Glucose / therapeutic use
  • Humans
  • Hyperglycemia* / prevention & control
  • Hypoglycemia* / drug therapy
  • Incidence
  • Infant, Newborn
  • Intensive Care Units, Neonatal
  • Intensive Care, Neonatal / methods*
  • Male
  • Medical Order Entry Systems*
  • Medication Errors / prevention & control
  • Prescriptions*
  • Risk

Substances

  • Glucose