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Int J Qual Health Care ; 28(3): 311-5, 2016 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-26976831

RESUMO

OBJECTIVE: To assess the impact of investigational drug labels on the risk of medication error in drug dispensing. DESIGN: A simulation-based learning program focusing on investigational drug dispensing was conducted. SETTING: The study was undertaken in an Investigational Drugs Dispensing Unit of a University Hospital of Lyon, France. PARTICIPANTS: Sixty-three pharmacy workers (pharmacists, residents, technicians or students) were enrolled. INTERVENTION: Ten risk factors were selected concerning label information or the risk of confusion with another clinical trial. Each risk factor was scored independently out of 5: the higher the score, the greater the risk of error. From 400 labels analyzed, two groups were selected for the dispensing simulation: 27 labels with high risk (score ≥3) and 27 with low risk (score ≤2). Each question in the learning program was displayed as a simulated clinical trial prescription. MAIN OUTCOME MEASURE: Medication error was defined as at least one erroneous answer (i.e. error in drug dispensing). For each question, response times were collected. RESULTS: High-risk investigational drug labels correlated with medication error and slower response time. Error rates were significantly 5.5-fold higher for high-risk series. Error frequency was not significantly affected by occupational category or experience in clinical trials. CONCLUSIONS: SIMME-CT is the first simulation-based learning tool to focus on investigational drug labels as a risk factor for medication error. SIMME-CT was also used as a training tool for staff involved in clinical research, to develop medication error risk awareness and to validate competence in continuing medical education.


Assuntos
Rotulagem de Medicamentos/estatística & dados numéricos , Drogas em Investigação/administração & dosagem , Erros de Medicação/estatística & dados numéricos , Sistemas de Medicação no Hospital/organização & administração , Sistemas de Medicação no Hospital/estatística & dados numéricos , Simulação por Computador , França , Hospitais Universitários , Humanos , Sistemas de Medicação no Hospital/normas , Farmacêuticos/estatística & dados numéricos , Residências em Farmácia/estatística & dados numéricos , Técnicos em Farmácia/estatística & dados numéricos , Fatores de Risco , Estudantes de Farmácia/estatística & dados numéricos , Fatores de Tempo
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