Effectiveness of a Barcode Medication Administration System in Reducing Preventable Adverse Drug Events in a Neonatal Intensive Care Unit: A Prospective Cohort Study

Patients are at risk of harm from medication errors. Barcode medication administration (BCMA) systems are recommended to mitigate preventable adverse drug events (ADEs). Our hypothesis was that a BCMA system would reduce preventable ADEs by 45% in a neonatal intensive care unit. We conducted a prosp...

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Veröffentlicht in:	The Journal of pediatrics Jg. 154; H. 3; S. 363 - 368.e1
Hauptverfasser:	Morriss, Frank H., Abramowitz, Paul W., Nelson, Steven P., Milavetz, Gary, Michael, Stacy L., Gordon, Sara N., Pendergast, Jane F., Cook, E. Francis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Maryland Heights, MO Elsevier Inc 01.03.2009 Elsevier
Schlagworte:	Automatic Data Processing - methods Automatic Data Processing - organization & administration Biological and medical sciences Drug-Related Side Effects and Adverse Reactions - etiology Drug-Related Side Effects and Adverse Reactions - prevention & control General aspects Humans Infant, Newborn Intensive Care Units, Neonatal - organization & administration Medical sciences Medication Errors - adverse effects Medication Errors - prevention & control Medication Systems, Hospital Miscellaneous Outcome Assessment (Health Care) Pediatrics Prevention and actions Program Evaluation Prospective Studies Public health. Hygiene Public health. Hygiene-occupational medicine Risk Management - methods Risk Management - organization & administration SD ADE GEE UIHC NICU BCMA CPOE MAR Barcode medication administration Generalized estimating equation Computer prescriber order entry Medication administration record Neonatal intensive care unit University of Iowa Hospitals and Clinics Standard deviation Adverse drug event Drug Pediatrics Intensive care Toxicity Neonatology Pharmacovigilance System Intensive care unit Prevention Chemotherapy Treatment Efficiency Follow up study Cohort study Secondary effect Public health
ISSN:	0022-3476, 1097-6833, 1097-6833
Online-Zugang:	Volltext
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