AIMSThe aim of this work is to understand the process of drug administration and identify points in the workflow that resulted in interventions by clinical information systems in order to improve patient safety.
METHODSTo identify a generic way to structure the drug administration process we performed peer-group discussions and supplemented these discussions with a literature search for studies reporting errors in drug administration and strategies for their prevention.
RESULTSWe concluded that the drug administration process might consist of up to 11 sub-steps, which can be grouped into the four sub-processes of preparation, personalization, application and follow-up. Errors in drug handling and administration are diverse and frequent and in many cases not caused by the patient him/herself, but by family members or nurses. Accordingly, different prevention strategies have been set in place with relatively few approaches involving e-health technology.
CONCLUSIONSA generic structuring of the administration process and particular error-prone sub-steps may facilitate the allocation of prevention strategies and help to identify research gaps.
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT• Similar to prescription errors also drug administration errors contribute to a large fraction of preventable medication errors and adverse drug events.• Drug administration can be exceedingly complex with regard to dose form, route of administration, number of co-medications, and setting and accordingly, error rates may vary.
WHAT THIS STUDY ADDS• The drug-specific drug administration process can be generically structured for distinct dosage forms to allow identification of particularly error prone steps and allocated prevention strategies.• Potential research gaps in error epidemiology and prevention are highlighted. from 2003-2006 [5]). More than 50% of adults administer drugs daily [6]. This fact, however, does not automatically make drug administration a safe and straightforward process and, indeed, drug administration errors are frequent and in the inpatient setting, roughly 30% of errors resulting in adverse drug events (ADE) happen during drug administration [7]. Comparably susceptible to errors is the prescription process [7]. Whereas for the prescribing process electronic prescription platforms with enhanced clinical decision support tools were implemented as promising error prevention strategy [8], similar and theory-driven approaches are only scarcely available for the administration process [9], even though introduction of electronic support in the drug administration process has shown to reduce error rates [10].Drug treatment is a rather complex and demanding task ( Figure 1) and depending on the setting and co-medication a great number of different errors may occur. The aim of this study was to structure the drug administration process (process 5 in Figure 1) in a way that allowed the allocation of current knowledge on frequent sources of errors as well as successful methods to prevent such errors with a particular emphas...