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1.
J Clin Pharm Ther ; 40(5): 550-554, 2015 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-26177870

RESUMO

WHAT IS KNOWN AND OBJECTIVE: Computerized physician order entry (CPOE) systems reduce medical errors (MEs). Nevertheless, a CPOE system may also lead to new types of errors, especially when it is first implemented. The objectives of this study were to determine the impact of a CPOE on the number of MEs and to identify the types of MEs in prescriptions issued by the Haematology Department 5 years after the implementation of the CPOE system. METHODS: We conducted a prospective analytical study on the implementation of a CPOE system at the Pharmacy Department of the Hospital Ramon y Cajal (Madrid, Spain). The study comprised three phases: a pre-implementation phase, an implementation phase conducted in the Haematology Department and a post-implementation phase, which was conducted 5 years after the implementation of the CPOE system. One hundred and fifty prescriptions per pre- and post-implementation phase were consecutively included in the study. A previously described classification scheme was used to detect and classify MEs. RESULTS AND DISCUSSION: The implementation of a CPOE system was associated with a large reduction in MEs. One hundred and fourteen patients (pre-implementation phase) were compared to 82 patients (post-implementation phase). The total number of MEs per 100 patients decreased from 236·8 (95% CI: 212·1-261·3) to 10·9 (95% CI: 5·8-19·6), with an absolute risk reduction of 36·2 (95% CI: 32·6-39·9). The percentage of prescriptions with an ME decreased from 37·5% to 1·2% (P < 0.001). In the pre-implementation phase, the drugs most frequently associated with MEs were rituximab (35·9%), cyclophosphamide (13%) and methotrexate (7%). In the post-implementation phase, 44·4% of prescription errors involved methotrexate. Five years after the implementation of the CPOE system, the majority of MEs were eliminated, the number of remaining errors (quantity, concentration and ambiguous prescription errors) decreased, and no new types of ME were detected. WHAT IS NEW AND CONCLUSION: The CPOE system almost completely eliminated MEs with antineoplastic drugs in the Haematology Department. No new types of MEs were observed once physicians had become accustomed to using the system. However, some MEs were not eliminated. Constant diligence is needed to analyse and evaluate MEs associated with the CPOE system and their causes, such that the limitations of CPOE can be identified and overcome and the medication-use process associated with antineoplastic agents improved.

2.
Farm. hosp ; 34(2): 59-67, mar.-abr. 2010. tab
Artigo em Espanhol | IBECS | ID: ibc-105356

RESUMO

Objetivo Calcular la prevalencia de los errores producidos en diferentes sistemas de dispensación de medicamentos, las etapas en que se producen y los factores contribuyentes. Métodos Estudio observacional prospectivo. Se revisaron las etapas del proceso de dispensación en 5 sistemas de dispensación: stock o botiquín de planta, sistema de distribución de medicamentos en dosis unitaria (SDMDU) sin prescripción electrónica asistida (PEA), SDMDU con PEA, sistema automatizado de dispensación (SAD) sin PEA y SAD con PEA. Se identificaron los errores de dispensación, las etapas en que ocurrieron dichos errores y sus factores contribuyentes. Resultados De 54.169 oportunidades de error, se detectaron 2.181 errores. Tasa de error: stock, 10,7%; SDMDU sin PEA, 3,7%; SDMDU con PEA, 2,2%; SAD sin PEA, 20,7%; SAD con PEA, 2,9%. Etapa más frecuente en la que se produce el error: stock, preparación del pedido; SDMDU sin PEA y con PEA, llenado del carro; SAD sin PEA y con PEA, llenado del SAD. Error más frecuente: stock, SAD sin PEA y con PEA, omisión; SDMDU con PEA, diferente cantidad de medicamento; SDMDU sin PEA, sobra medicamento. Factor contribuyente: stock, SAD sin PEA y con PEA, rotura de stock/desabastecimiento; SDMDU con PEA, personal sin experiencia y sistema de comunicación deficiente entre profesionales; SDMDU sin PEA, sistema de comunicación deficiente entre profesionales. Conclusiones La aplicación de nuevas tecnologías en el proceso de dispensación ha aumentado su seguridad, concretamente la implantación de la PEA ha permitido disminuir los errores en el proceso de dispensación (AU)


Objective Calculate error prevalence occurred in different medication-dispensing systems, the stages of occurrence, and contributing factors. Methodology Prospective observational study. The staging of the dispensing process were reviewed in five dispensing systems: Stock, Unitary-Dose dispensing systems (UDDS) without Computerized Prescription Order Entry (CPOE), CPOE-UDDS, Automated Dispensing Systems (ADS) without CPOE and CPOE-ADS. Dispensing errors were identified, together with the stages of occurrence of such errors and their contributing factors.Results2,181 errors were detected among 54,169 opportunities of error. Error-rate: Stock, 10.7%; no-CPOE-UDDS, 3.7%, CPOE-UDDS, 2.2%, no-CPOE-ADS, 20.7%; CPOE-ADS, 2.9%. Most frequent stage when error occurs: Stock, preparation of order; no-CPOE-UDDS and CPOE-UDDS, filling of the unit dose cart; no-CPOE-ADS and CPOE-ADS, filling of the ADS. Most frequent error: Stock, no-CPOE-ADS and CPOE-ADS, omission; CPOE-UDDS, different amount of drug and no-CPOE-UDDS, extra medication. Contributing factor: Stock, CPOE-ADS and no-CPOE-ADS, stock out/supply problems; CPOE-UDDS, inexperienced personnel and deficient communication system between professionals; no-CPOE-UDDS, deficient communication system between professionals. Conclusions Applying new technologies to the dispensing process has increased its safety, particularly, implementation of CPOE has enabled to reduce dispensing errors (AU)


Assuntos
Humanos , Dispensários de Medicamentos , Serviço de Farmácia Hospitalar/organização & administração , Conduta do Tratamento Medicamentoso/organização & administração , Tecnologia Culturalmente Apropriada/métodos , Boas Práticas de Dispensação , Erros de Medicação/estatística & dados numéricos , Prescrição Eletrônica , Sistemas de Informação em Farmácia Clínica/organização & administração
3.
Farm Hosp ; 34(2): 59-67, 2010.
Artigo em Espanhol | MEDLINE | ID: mdl-20206565

RESUMO

OBJECTIVE: Calculate error prevalence occurred in different medication-dispensing systems, the stages of occurrence, and contributing factors. METHODOLOGY: Prospective observational study. The staging of the dispensing process were reviewed in five dispensing systems: Stock, Unitary-Dose dispensing systems (UDDS) without Computerized Prescription Order Entry (CPOE), CPOE-UDDS, Automated Dispensing Systems (ADS) without CPOE and CPOE-ADS. Dispensing errors were identified, together with the stages of occurrence of such errors and their contributing factors. RESULTS: 2,181 errors were detected among 54,169 opportunities of error. Error-rate: Stock, 10.7%; no-CPOE-UDDS, 3.7%, CPOE-UDDS, 2.2%, no-CPOE-ADS, 20.7%; CPOE-ADS, 2.9%. Most frequent stage when error occurs: Stock, preparation of order; no-CPOE-UDDS and CPOE-UDDS, filling of the unit dose cart; no-CPOE-ADS and CPOE-ADS, filling of the ADS. Most frequent error: Stock, no-CPOE-ADS and CPOE-ADS, omission; CPOE-UDDS, different amount of drug and no-CPOE-UDDS, extra medication. Contributing factor: Stock, CPOE-ADS and no-CPOE-ADS, stock out/supply problems; CPOE-UDDS, inexperienced personnel and deficient communication system between professionals; no-CPOE-UDDS, deficient communication system between professionals. CONCLUSIONS: Applying new technologies to the dispensing process has increased its safety, particularly, implementation of CPOE has enabled to reduce dispensing errors.


Assuntos
Erros de Medicação , Sistemas de Medicação no Hospital/tendências , Automação , Sistemas de Informação em Farmácia Clínica/estatística & dados numéricos , Sistemas de Informação em Farmácia Clínica/tendências , Prescrição Eletrônica/estatística & dados numéricos , Hospitais Gerais , Hospitais Universitários , Humanos , Sistemas de Registro de Ordens Médicas/estatística & dados numéricos , Sistemas de Registro de Ordens Médicas/tendências , Erros de Medicação/classificação , Erros de Medicação/prevenção & controle , Erros de Medicação/estatística & dados numéricos , Sistemas de Medicação no Hospital/estatística & dados numéricos , Estudos Prospectivos , Robótica , Espanha
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