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First published June 25, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2667
Journal of the American Medical Informatics Association 2008;15(5):585-600
© 2008 American Medical Informatics Association


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Submitted on November 19, 2007
Accepted on June 6, 2008

The Effect of Electronic Prescribing on Medication Errors and Adverse Drug Events: A Systematic Review

Elske Ammenwerth1*, Petra Schnell-Inderst2, Christof Machan1, and Uwe Siebert3

Affiliation of the authors: 1 Institute for Health Information Systems, UMIT - University for Health Sciences, Medical Informatics and Technology, Tyrol, Austria ; 2 Institute for Health Information Systems, UMIT - University for Health Sciences, Medical Informatics and Technology, Tyrol, Austria; Alfried Krupp von Bohlen und Halbach Foundation, University of Duisburg-Essen, Essen, Germany ; 3 Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA

* To whom correspondence should be addressed.

The objective of this systematic review is to analyse the relative risk reduction on medication error and adverse drug events (ADE) by computerised physician order entry systems (CPOE). We included controlled field studies and pretest-posttest studies, evaluating all types of CPOE systems, drugs and clinical settings. We present the results in evidence tables, calculate the risk ratio with 95% confidence interval and perform subgroup analyses for categorical factors, such as the level of care, patient group, type of drug, type of system, functionality of the system, comparison group type, study design, and the method for detecting errors. 23 of the 25 studies that analysed the effects on the medication error rate showed a significant relative risk reduction of 13% to 99%. Six of the nine studies that analysed the effects on potential ADEs showed a significant relative risk reduction of 35% to 98%. Four of the seven studies that analysed the effect on ADEs showed a significant relative risk reduction of 30% to 84%. Reporting quality and study quality was often insufficient to exclude major sources of bias. Studies on home-grown systems, studies comparing electronic prescribing to handwriting prescribing, and studies using manual chart review to detect errors seem to show a higher relative risk reduction than other studies. Concluding, it seems that electronic prescribing can reduce the risk for medication errors and ADE. However, studies differ substantially in their setting, design, quality, and results. To further improve the evidence-base of health informatics, more RCTs are needed, especially to cover a wider range of clinical and geographic settings. In addition, reporting quality of health informatics evaluation studies has to be substantially improved.







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