Computerized order entry with limited decision support to prevent prescription errors in a PICU

Pediatrics. 2009 Sep;124(3):935-40. doi: 10.1542/peds.2008-2737. Epub 2009 Aug 10.

Abstract

Objective: The value of computerized physician order entry (CPOE) and clinical decision support systems (CDSSs) in preventing prescription errors in pediatrics is unclear. We investigated the change in prescription error rates with the introduction of CPOE with and without a CDSS limited to weight-based dosing in a PICU.

Methods: In a PICU of a major tertiary-care pediatric medical center, 5000 orders were reviewed, that is, 1250 orders from each of 4 periods: period 1, before CPOE implementation; period 2, 1 year after CPOE implementation; period 3, after CDSS implementation; and period 4, after a change in prescription authorization. Prescription errors were identified and classified into: potential adverse drug events (ADEs), medication prescription errors (MPEs), and rule violations (RVs).

Results: We identified 273 errors (5.5%). The rate of potential ADEs decreased slightly between periods 1 and 2 (from 2.5% to 2.4%) and significantly in periods 3 and 4 (to 0.8% and 0.7%, respectively; P < .005). The rate of MPEs decreased slightly between periods 1 and 2 (from 5.5% to 5.3%), but new types of MPEs appeared. There was a significant decrease in period 3 (to 3.8%; P < .05) and a dramatically significant decrease in period 4 (to 0.7%; P < .0005). Only 3 RVs were found. Interrater agreement (kappa statistic) was 0.788 between evaluators.

Conclusions: CPOE implementation decreased prescription errors only to a small extent. However, the addition of a CDSS that limits doses by weight significantly reduced prescription error rates and, most importantly, potential ADEs. This finding emphasizes the major impact of weight-based calculation errors in pediatrics.

MeSH terms

  • Child
  • Decision Support Systems, Clinical*
  • Humans
  • Intensive Care Units, Pediatric*
  • Medical Order Entry Systems*
  • Medication Errors / prevention & control*
  • Retrospective Studies