Projects per year
Materials and Methods: We searched Medline, Scopus, Embase, and CINAHL for studies published between January 2005 and March 2019, comparing medication errors rates with or without assessments of related harm (actual or potential) before and after EMS implementation. EMS was defined as a computer-based system enabling the prescribing, supply, and/or administration of medicines. Study quality was assessed.
Results: There was substantial heterogeneity in outcomes of the 18 included studies. Only 2 were strong quality. Meta-analysis of 5 studies reporting change in actual harm post-EMS showed no reduced risk (RR: 1.22, 95% CI: 0.18–8.38, P = .8) and meta-analysis of 3 studies reporting change in administration errors found a significant reduction in error rates (RR: 0.77, 95% CI: 0.72–0.83, P = .004). Of 10 studies of prescribing error rates, 9 reported a reduction but variable denominators precluded meta-analysis. Twelve studies provided specific examples of system-related medication errors; 5 quantified their occurrence.
Discussion and Conclusion: Despite the wide-scale adoption of EMS in hospitals around the world, the quality of evidence about their effectiveness in medication error and associated harm reduction is variable. Some confidence can be placed in the ability of systems to reduce prescribing error rates. However, much is still unknown about mechanisms which may be most effective in improving medication safety and design features which facilitate new error risks.
|Number of pages||10|
|Journal||Journal of the American Medical Informatics Association|
|Early online date||8 Nov 2020|
|Publication status||Published - 15 Jan 2021|
Bibliographical noteCopyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
- medication error
- prescribing error
- administration error
- patient harm
- health information technology
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Westbrook, J., Georgiou, A., Day, R., O'Brien, T., Karnon, J., Dalla-Pozza, L., Cowell, P., Li, L., Baysari, M., Ambler, G., PhD Contribution (NHMRC), P. C. (. & PhD Contribution 2 (NHMRC), P. C. 2. (.
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