E-Prescribing Errors in Community Pharmacies: Exploring Consequences and Contributing Factors
Identifieur interne : 003393 ( Main/Merge ); précédent : 003392; suivant : 003394E-Prescribing Errors in Community Pharmacies: Exploring Consequences and Contributing Factors
Auteurs : Olufunmilola K. Odukoya ; Jamie A. Stone ; Michelle A. ChuiSource :
- International journal of medical informatics [ 1386-5056 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- economics : Medication Errors.
- prevention & control : Medication Errors.
- Community Pharmacy Services, Drug Prescriptions, Electronic Prescribing, Humans, Patient Safety, Program Evaluation, Qualitative Research, Quality Indicators, Health Care.
Abstract
To explore types of e-prescribing errors in community pharmacies and their potential consequences, as well as the factors that contribute to e-prescribing errors.
Data collection involved performing 45 total hours of direct observations in five pharmacies. Follow-up interviews were conducted with 20 study participants. Transcripts from observations and interviews were subjected to content analysis using NVivo 10.
Pharmacy staff detected 75 e-prescription errors during the 45 hour observation in pharmacies. The most common e-prescribing errors were wrong drug quantity, wrong dosing directions, wrong duration of therapy, and wrong dosage formulation. Participants estimated that 5 in 100 e-prescriptions have errors. Drug classes that were implicated in e-prescribing errors were antiinfectives, inhalers, ophthalmic, and topical agents. The potential consequences of e-prescribing errors included increased likelihood of the patient receiving incorrect drug therapy, poor disease management for patients, additional work for pharmacy personnel, increased cost for pharmacies and patients, and frustrations for patients and pharmacy staff. Factors that contribute to errors included: technology incompatibility between pharmacy and clinic systems, technology design issues such as use of auto-populate features and dropdown menus, and inadvertently entering incorrect information.
Study findings suggest that a wide range of e-prescribing errors are encountered in community pharmacies. Pharmacists and technicians perceive that causes of e-prescribing errors are multidisciplinary and multifactorial, that is to say e-prescribing errors can originate from technology used in prescriber offices and pharmacies.
Url:
DOI: 10.1016/j.ijmedinf.2014.02.004
PubMed: 24657055
PubMed Central: 4144335
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PMC:4144335Le document en format XML
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<term>Medication Errors (economics)</term>
<term>Medication Errors (prevention & control)</term>
<term>Patient Safety</term>
<term>Program Evaluation</term>
<term>Qualitative Research</term>
<term>Quality Indicators, Health Care</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Erreurs de médication ()</term>
<term>Erreurs de médication (économie)</term>
<term>Humains</term>
<term>Indicateurs qualité santé</term>
<term>Ordonnances médicamenteuses</term>
<term>Prescription électronique</term>
<term>Recherche qualitative</term>
<term>Services des pharmacies communautaires</term>
<term>Sécurité des patients</term>
<term>Évaluation de programme</term>
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<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Medication Errors</term>
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<keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Erreurs de médication</term>
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<term>Drug Prescriptions</term>
<term>Electronic Prescribing</term>
<term>Humans</term>
<term>Patient Safety</term>
<term>Program Evaluation</term>
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<term>Quality Indicators, Health Care</term>
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<term>Indicateurs qualité santé</term>
<term>Ordonnances médicamenteuses</term>
<term>Prescription électronique</term>
<term>Recherche qualitative</term>
<term>Services des pharmacies communautaires</term>
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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Objective</title>
<p id="P1">To explore types of e-prescribing errors in community pharmacies and their potential consequences, as well as the factors that contribute to e-prescribing errors.</p>
</sec>
<sec id="S2"><title>Methods</title>
<p id="P2">Data collection involved performing 45 total hours of direct observations in five pharmacies. Follow-up interviews were conducted with 20 study participants. Transcripts from observations and interviews were subjected to content analysis using NVivo 10.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P3">Pharmacy staff detected 75 e-prescription errors during the 45 hour observation in pharmacies. The most common e-prescribing errors were wrong drug quantity, wrong dosing directions, wrong duration of therapy, and wrong dosage formulation. Participants estimated that 5 in 100 e-prescriptions have errors. Drug classes that were implicated in e-prescribing errors were antiinfectives, inhalers, ophthalmic, and topical agents. The potential consequences of e-prescribing errors included increased likelihood of the patient receiving incorrect drug therapy, poor disease management for patients, additional work for pharmacy personnel, increased cost for pharmacies and patients, and frustrations for patients and pharmacy staff. Factors that contribute to errors included: technology incompatibility between pharmacy and clinic systems, technology design issues such as use of auto-populate features and dropdown menus, and inadvertently entering incorrect information.</p>
</sec>
<sec id="S4"><title>Conclusion</title>
<p id="P4">Study findings suggest that a wide range of e-prescribing errors are encountered in community pharmacies. Pharmacists and technicians perceive that causes of e-prescribing errors are multidisciplinary and multifactorial, that is to say e-prescribing errors can originate from technology used in prescriber offices and pharmacies.</p>
</sec>
</div>
</front>
</TEI>
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