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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Published in | The Journal of pediatrics Vol. 154; no. 3; pp. 363 - 368.e1 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Maryland Heights, MO
Elsevier Inc
01.03.2009
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | 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 prospective, observational, cohort study of a BCMA system intervention in a neonatal intensive care unit. Participants were admitted neonates during 50 weeks. Medication errors and potential or preventable ADEs were detected by a daily structured audit of each subject's medical record, with assignment of an event as a preventable ADE made by blinded assessors. The generalized estimating equation method was used in modeling the targeted, preventable ADE rate with covariates.
A total of 92 398 medication doses were administered to 958 subjects. The generalized estimating equation method yielded a relative risk of preventable ADE when the system was implemented of 0.53 (95% confidence limits 0.29 to 0.91, P = .04), adjusted for log10doses of medication/subject/day, a significant predictive covariate (P < .001), as well as for birth weight, sex, Caucasian race, birth cohort number, and nursing hours/subject/day.
The BCMA system reduced the risk of targeted, preventable ADEs by 47%, controlling for the number of medication doses/subject/day, an important risk exposure. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0022-3476 1097-6833 1097-6833 |
DOI: | 10.1016/j.jpeds.2008.08.025 |