2009-11-01
The Influence that Electronic Prescribing Has on Medication Errors and Preventable Adverse Drug Events: an Interrupted Time-series Study
Publication
Publication
American Medical Informatics Association. Journal , Volume 16 - Issue 6 p. 816- 825
Objective: This study evaluated the effect of a Computerized Physician Order Entry system with basic Clinical Decision Support (CPOE/CDSS) on the incidence of medication errors (MEs) and preventable adverse drug events (pADEs). Design: Interrupted time-series design. Measurements: The primary outcome measurements comprised the percentage of medication orders with one or more MEs and the percentage of patients with one or more pADEs. Results: Pre-implementation, the mean percentage of medication orders containing at least one ME was 55%, whereas this became 17% post-implementation. The introduction of CPOE/CDSS has led to a significant immediate absolute reduction of 40.3% (95% CI: -45.13%; -35.48%) in medication orders with one or more errors. Pre-implementation, the mean percentage of admitted patients experiencing at least one pADE was 15.5%, as opposed to 7.3% post-implementation. However, this decrease could not be attributed to the introduction of CPOE/CDSS: taking into consideration the interrupted time-series design, the immediate change was not significant (-0.42%, 95% CI: -15.52%; 14.68%) because of the observed underlying negative trend during the pre-CPOE period of -4.04% [95% CI: -7.70%; -0.38%] per month. Conclusions: This study has shown that CPOE/CDSS reduces the incidence of medication errors. However, a direct effect on actual patient harm (pADEs) was not demonstrated.
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doi.org/10.1197/jamia.M3099, hdl.handle.net/1765/32641 | |
American Medical Informatics Association. Journal | |
Organisation | Erasmus MC: University Medical Center Rotterdam |
van Doormaal, J., van den Bemt, P., Zaal, R., Egberts, T., Lenderink, B., Kosterink, J., … Mol, P. (2009). The Influence that Electronic Prescribing Has on Medication Errors and Preventable Adverse Drug Events: an Interrupted Time-series Study. American Medical Informatics Association. Journal, 16(6), 816–825. doi:10.1197/jamia.M3099 |