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Published on: August 30, 2018
Are interventions to reduce interruptions and errors during medication administration effective?: a systematic review
Magdalena Z Raban1, Johanna I Westbrook
1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, UNSW Medicine, University of New South Wales, , Sydney, New South Wales, Australia.
Interventions to reduce interruptions during medication administration show weak evidence for reducing errors. More controlled trials are needed to confirm the effectiveness of these strategies in patient care.
Area of Science:
- Healthcare quality improvement
- Patient safety research
- Nursing practice
Background:
- Medication administration errors are a significant cause of patient harm.
- Interruptions during medication administration are suspected contributors to these errors.
Purpose of the Study:
- To evaluate the effectiveness of interventions designed to decrease interruptions during medication administration.
- To assess the impact on both interruption frequency and medication administration error rates.
Main Methods:
- Systematic literature search of multiple databases (MEDLINE, EMBASE, CINAHL, PsycINFO) and hand-searched references.
- Inclusion of intervention studies with direct observational data on interruptions or medication administration errors.
- Analysis of ten studies, primarily from North America and Europe.
Main Results:
- Five studies showed significant changes in interruption rates, with four reporting reductions.
- Three studies indicated reductions in medication administration errors, but these involved multiple interventions.
- Methodological limitations include lack of controlled designs, inconsistent outcome definitions, and inadequate statistical analysis of clustering.
Conclusions:
- Evidence supporting the effectiveness of interventions to reduce interruptions and medication administration errors is currently weak.
- Further rigorous, controlled trials are essential to validate the benefits of such interventions.
- More research is needed to elucidate the complex relationship between interruptions and errors to guide future intervention development.
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