OBJECTIVE: This study tested multivariate models exploring unit-level predictors of medication administration (MA) accuracy.
BACKGROUND: During MA, nurses are both the last line of defense from medication-related errors and a potential perpetrator of error. Direct observation reveals safe practices and the accuracy of medication delivery.
METHODS: Using a direct-observation, cross-sectional design, data submitted by 124 adult patient care units for 15600 medication doses, from January 2009 to April 2010, were studied.
RESULTS: Distractions and interruptions were the most common safe practice deviation. Characteristics of patient care units and RN hours of care affected nurses’ safe practices and MA accuracy. Safe practices predict and mediate MA accuracy. A 5% decrease in safe practice deviations would reduce MA errors by 46% without any change in RN hours of care.
CONCLUSION: Nurses’ adherence to MA safe practices, combined with unit characteristics and staffing factors, has the potential to dramatically improve MA accuracy.
Author Affiliations: Senior Scientist, Collaborative Alliance for Nursing Outcomes (CALNOC) and Clinical Professor, UCSF School of Nursing (Dr Donaldson), San Francisco; and Research Scientist IV, Cedars-Sinai Medical Center and Burns & Allen Research Institute, and CALNOC Data Management Services Director and Coinvestigator (Dr Aydin); Director, AMF Consulting, Inc, CALNOC Statistician (Dr Fridman), Los Angeles, California.
This study was funded, in part, by grants from the Gordon and Betty Moore Foundation, Betty Irene Moore Nursing Initiative, and the Robert Wood Johnson Foundation, Interdisciplinary Nursing Quality Research Initiative.
The authors, in fulfilling their CALNOC roles, have served as volunteers and paid personnel under the terms of contractual agreements.
Correspondence: Dr Donaldson, PhD, RN, FAAN, Collaborative Alliance for Nursing Outcomes, 40 Amber Ct, San Carlos, CA 94070 (firstname.lastname@example.org).