The impact of electronic medication administration records (e-MAR) on medication administration safety and nurses' work [ 2007 - 2009 ]

Research Grant

Researchers: Prof Johanna Westbrook (Principal investigator) ,  Ms Margaret Williamson ,  Prof Bryony Dean Franklin ,  Prof Christine Duffield ,  Prof Enrico Coiera
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Brief description The demands on health systems, both nationally and internationally, are growing, exacerbated by an ageing population and health workforce shortages. The incorporation of information technology into new health care delivery models promises both improvements in the safety and efficiency of care delivery. Medication errors are one of the most significant safety issues for health care systems. Medication management occupies a significant amount of nurses' time, and is also fraught with error potential. One-third of all medication errors that cause patient harm arise from medication administration errors (MAEs). Electronic medication administration records (e-MARs) provide the potential to make the administration of medications safer for patients by reducing error rates, and also by allowing nurses to more efficiently manage medication tasks. However there is very limited research from Australia or overseas which has examined whether they computerised system work and in fact reduce error rates or save nurses time. In this project we will conduct prospective, controlled observational studies to determine the effectiveness of an electronic medication administration record (e-MAR) to reduce MAEs and the amount of time nurses spend in the medication administration process. The project will apply innovative data collection tools using PDA software purpose-built for these studies which have undergone extensive pilot testing in clinical settings. The results will have important implications for hospitals across Australia and internationally as they consider the implementation of e-MARs. This research will provide the first comprehensive data of medication administration errors in Australia against which future preventative error strategies can be evaluated. The results will provide the evidence needed to develop recommendations about how to reduce MAEs and improve the design of e-MARs.

Funding Amount $AUD 735,675.82

Funding Scheme NHMRC Project Grants

Notes Standard Project Grant