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Medication errors through a national pharmacovigilance database approach: A study for Malta

AIM: To identify medication errors in the Maltese pharmacovigilance database and describe the frequency and characteristics of these events. METHOD: A retrospective analysis of the Adverse Drug Events (ADEs) reported over 5 years in Malta was conducted. Medication errors were identified by comparing...

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Published in:The International journal of risk & safety in medicine 2013, Vol.25 (1), p.17-27
Main Authors: Tanti, Amy, Camilleri, Miriam, Bonanno, Patricia Vella, Borg, John-Joseph
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creator Tanti, Amy
Camilleri, Miriam
Bonanno, Patricia Vella
Borg, John-Joseph
description AIM: To identify medication errors in the Maltese pharmacovigilance database and describe the frequency and characteristics of these events. METHOD: A retrospective analysis of the Adverse Drug Events (ADEs) reported over 5 years in Malta was conducted. Medication errors were identified by comparing use against the product's Summary of Product Characteristics (SmPC) and then classified by type of medication error, seriousness and the stage of the medication use chain at which they occurred. RESULTS: 319 consolidated ADE reports met the inclusion criteria and were analysed. 56/319 consolidated ADEs were associated with serious patient harm. The 80–89 and the 50–59 age groups were associated with most medications used in error. 65% of errors originated in the community. Errors were identified in prescribing (52%), therapeutic monitoring (26%), patients' own (12%), dispensing (7%) and administration (3%) stages. The non-steroidal anti-inflammatory drugs (NSAIDs) and antibiotics were most commonly used in errors involving wrong doses, lack of therapeutic monitoring, interactions; contra-indications, prescribing for an unlicensed indication as well as an inappropriate duration of therapy. CONCLUSION: Pharmacovigilance databases are a useful source of information on medication errors and can be used to detect risks associated with the use of medicinal products.
doi_str_mv 10.3233/JRS-120582
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The non-steroidal anti-inflammatory drugs (NSAIDs) and antibiotics were most commonly used in errors involving wrong doses, lack of therapeutic monitoring, interactions; contra-indications, prescribing for an unlicensed indication as well as an inappropriate duration of therapy. CONCLUSION: Pharmacovigilance databases are a useful source of information on medication errors and can be used to detect risks associated with the use of medicinal products.</description><identifier>ISSN: 0924-6479</identifier><identifier>EISSN: 1878-6847</identifier><identifier>DOI: 10.3233/JRS-120582</identifier><identifier>PMID: 23442294</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adolescent ; Adult ; Adverse Drug Reaction Reporting Systems - statistics &amp; numerical data ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Child ; Child, Preschool ; Clinical trial. 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METHOD: A retrospective analysis of the Adverse Drug Events (ADEs) reported over 5 years in Malta was conducted. Medication errors were identified by comparing use against the product's Summary of Product Characteristics (SmPC) and then classified by type of medication error, seriousness and the stage of the medication use chain at which they occurred. RESULTS: 319 consolidated ADE reports met the inclusion criteria and were analysed. 56/319 consolidated ADEs were associated with serious patient harm. The 80–89 and the 50–59 age groups were associated with most medications used in error. 65% of errors originated in the community. Errors were identified in prescribing (52%), therapeutic monitoring (26%), patients' own (12%), dispensing (7%) and administration (3%) stages. The non-steroidal anti-inflammatory drugs (NSAIDs) and antibiotics were most commonly used in errors involving wrong doses, lack of therapeutic monitoring, interactions; contra-indications, prescribing for an unlicensed indication as well as an inappropriate duration of therapy. CONCLUSION: Pharmacovigilance databases are a useful source of information on medication errors and can be used to detect risks associated with the use of medicinal products.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adverse Drug Reaction Reporting Systems - statistics &amp; numerical data</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Clinical trial. 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Drug treatments</topic><topic>Pharmacovigilance</topic><topic>Retrospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tanti, Amy</creatorcontrib><creatorcontrib>Camilleri, Miriam</creatorcontrib><creatorcontrib>Bonanno, Patricia Vella</creatorcontrib><creatorcontrib>Borg, John-Joseph</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The International journal of risk &amp; safety in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tanti, Amy</au><au>Camilleri, Miriam</au><au>Bonanno, Patricia Vella</au><au>Borg, John-Joseph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Medication errors through a national pharmacovigilance database approach: A study for Malta</atitle><jtitle>The International journal of risk &amp; safety in medicine</jtitle><addtitle>Int J Risk Saf Med</addtitle><date>2013</date><risdate>2013</risdate><volume>25</volume><issue>1</issue><spage>17</spage><epage>27</epage><pages>17-27</pages><issn>0924-6479</issn><eissn>1878-6847</eissn><abstract>AIM: To identify medication errors in the Maltese pharmacovigilance database and describe the frequency and characteristics of these events. 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source SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024:2025 extension (reading list)
subjects Adolescent
Adult
Adverse Drug Reaction Reporting Systems - statistics & numerical data
Aged
Aged, 80 and over
Biological and medical sciences
Child
Child, Preschool
Clinical trial. Drug monitoring
Female
General pharmacology
Humans
Infant
Male
Malta
Medical sciences
Medication Errors - classification
Medication Errors - prevention & control
Medication Errors - statistics & numerical data
Middle Aged
Pharmacology. Drug treatments
Pharmacovigilance
Retrospective Studies
title Medication errors through a national pharmacovigilance database approach: A study for Malta
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