Literature DB >> 19458202

Medication errors: what they are, how they happen, and how to avoid them.

J K Aronson1.   

Abstract

A medication error is a failure in the treatment process that leads to, or has the potential to lead to, harm to the patient. Medication errors can occur in deciding which medicine and dosage regimen to use (prescribing faults--irrational, inappropriate, and ineffective prescribing, underprescribing, overprescribing); writing the prescription (prescription errors); manufacturing the formulation (wrong strength, contaminants or adulterants, wrong or misleading packaging); dispensing the formulation (wrong drug, wrong formulation, wrong label); administering or taking the medicine (wrong dose, wrong route, wrong frequency, wrong duration); monitoring therapy (failing to alter therapy when required, erroneous alteration). They can be classified, using a psychological classification of errors, as knowledge-, rule-, action- and memory-based errors. Although medication errors can occasionally be serious, they are not commonly so and are often trivial. However, it is important to detect them, since system failures that result in minor errors can later lead to serious errors. Reporting of errors should be encouraged by creating a blame-free, non-punitive environment. Errors in prescribing include irrational, inappropriate, and ineffective prescribing, underprescribing and overprescribing (collectively called prescribing faults) and errors in writing the prescription (including illegibility). Avoiding medication errors is important in balanced prescribing, which is the use of a medicine that is appropriate to the patient's condition and, within the limits created by the uncertainty that attends therapeutic decisions, in a dosage regimen that optimizes the balance of benefit to harm. In balanced prescribing the mechanism of action of the drug should be married to the pathophysiology of the disease.

Entities:  

Mesh:

Year:  2009        PMID: 19458202     DOI: 10.1093/qjmed/hcp052

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


  62 in total

1.  A national in-patient prescription chart: the experience in Wales 2004-2012.

Authors:  Philip A Routledge
Journal:  Br J Clin Pharmacol       Date:  2012-10       Impact factor: 4.335

2.  Two RFID standard-based security protocols for healthcare environments.

Authors:  Pablo Picazo-Sanchez; Nasour Bagheri; Pedro Peris-Lopez; Juan E Tapiador
Journal:  J Med Syst       Date:  2013-08-16       Impact factor: 4.460

3.  EIDOS: a mechanistic classification of adverse drug effects.

Authors:  Robin E Ferner; Jeffrey K Aronson
Journal:  Drug Saf       Date:  2010-01-01       Impact factor: 5.606

4.  A secure lightweight RFID binding proof protocol for medication errors and patient safety.

Authors:  Shuhua Wu; Kefei Chen; Yuefei Zhu
Journal:  J Med Syst       Date:  2011-08-27       Impact factor: 4.460

5.  Rapid reconstitution packages (RRPs) for stable storage and delivery of glucagon.

Authors:  Sebastian D'hers; Agustín N Abad Vazquez; Pablo Gurman; Noel M Elman
Journal:  Drug Deliv Transl Res       Date:  2019-06       Impact factor: 4.617

6.  The frequency and nature of medication errors in hospitalized patients with acute coronary syndrome.

Authors:  Mostafa A Sayed Ali; Christina Milad Lobos; Mohamed Aboel-Kassem F Abdelmegid; Ahmed Moustafa El-Sayed
Journal:  Int J Clin Pharm       Date:  2017-04-03

7.  Accidental alfaxalone overdose in a mature cat undergoing anaesthesia for magnetic resonance imaging.

Authors:  Wendy Bayldon; Jennifer E Carter; Thierry Beths; Leon N Warne; Ted Whittem; Lorena Martinez; Sébastien H Bauquier
Journal:  JFMS Open Rep       Date:  2016-05-03

Review 8.  Safe prescribing: a titanic challenge.

Authors:  Philip A Routledge
Journal:  Br J Clin Pharmacol       Date:  2012-10       Impact factor: 4.335

9.  Cryptographically supported NFC tags in medication for better inpatient safety.

Authors:  Mehmet Hilal Özcanhan; Gökhan Dalkılıç; Semih Utku
Journal:  J Med Syst       Date:  2014-06-24       Impact factor: 4.460

10.  Identification and quantification of prescription errors.

Authors:  Prafull Mohan; A K Sharma; S S Panwar
Journal:  Med J Armed Forces India       Date:  2014-04-03
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