Descriptive analysis of medication errors reported to the Egyptian national online reporting system during six months

Shehata Z. ; Sabri N. ; Elmelegy A. 


Abstract


© The Author 2015. Objectives: This study analyzes reports to the Egyptian medication error (ME) reporting system from June to December 2014. Methods: Fifty hospital pharmacists received training on ME reporting using the national reporting system. All received reports were reviewed and analyzed. The pieces of data analyzed were patient age, gender, clinical setting, stage, type, medication(s), outcome, cause(s), and recommendation(s). Results: Over the course of 6 months, 12 000 valid reports were gathered and included in this analysis. The majority (66%) came from inpatient settings, while 23% came from intensive care units, and 11% came from outpatient departments. Prescribing errors were the most common type of MEs (54%), followed by monitoring (25%) and administration errors (16%). The most frequent error was incorrect dose (20%) followed by drug interactions, incorrect drug, and incorrect frequency. Most reports were potential (25%), prevented (11%), or harmless (51%) errors; only 13% of reported errors lead to patient harm. The top three medication classes involved in reported MEs were antibiotics, drugs acting on the central nervous system, and drugs acting on the cardiovascular system. Causes of MEs were mostly lack of knowledge, environmental factors, lack of drug information sources, and incomplete prescribing. Recommendations for addressing MEs were mainly staff training, local ME reporting, and improving work environment. Discussion: There are common problems among different healthcare systems, so that sharing experiences on the national level is essential to enable learning from MEs. Internationally, there is a great need for standardizing ME terminology, to facilitate knowledge transfer. Underreporting, inaccurate reporting, and a lack of reporter diversity are some limitations of this study. Egypt now has a national database of MEs that allows researchers and decision makers to assess the problem, identify its root causes, and develop preventive strategies.


Other data

Issue Date 1-Mar-2016
Journal Journal of the American Medical Informatics Association 
URI http://api.elsevier.com/content/abstract/scopus_id/84963752166
http://research.asu.edu.eg/123456789/242
ISSN 1067-5027
DOI 10.1093/jamia/ocv096


Recommend this item

CORE Recommender
5
Citations

3
Views


Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.