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MEDICATION ERRORS AND CONSEQUENCES

Authors: Asma Fatima, Syed Shoaib Hussain;

MEDICATION ERRORS AND CONSEQUENCES

Abstract

Medication therapy is becoming increasingly more complex as new drugs are developed and more therapeutic targets are elucidated. In addition, polypharmacy (≥5 scheduled medications) has become exceedingly common in geriatric patients and in patients with chronic disease states. As the complexity of drug therapy and the number of medications increase, patients are at a high risk for medication errors and adverse drug events (ADEs), or injuries resulting from medication. The type of adverse events may be associated with professional practices, healthcare products, procedures, and systems including prescription, communication through instructions, drug labeling, packaging and nomenclature, reformulation, dissolution, distribution, administration, education, monitoring, and use. Classification and evaluation of medication errors according to their importance may constitute an important factor for process improvement in order to render the administration of medicines as safe as possible. In hospitals, medication errors occur at a rate of about one per patient per day. A dispensing error is one made by pharmacy staff when distributing medications to nursing units or directly to patients in an ambulatory-care pharmacy; the error rates for doses dispensed via the cart-filling process range from 0.87% to 2.9%. Technology has grown to be a constituent part of medicine these days. A few advantages that technology can supply are categorized as follows: the assisting of communication between clinicians; enhancing medication safety; decreasing potential medical errors and adverse events; rising access to medical information and encouraging patient-centered healthcare. The aim of this article is to provide a compendious literature review regarding Medication errors. Keywords: nursing error(s), medication error(s), adverse drug reaction(s) – adverse drug event(s), electronic medical record(s), patient safety

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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