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2.
Healthc Q ; 8 Spec No: 81-5, 2005.
Artigo em Inglês | MEDLINE | ID: mdl-16334077

RESUMO

Adverse clinical events related to inappropriate prescribing practices are an important threat to patient safety. Avoidance of inappropriate prescribing in community settings, where the majority of prescriptions are written, offers a major area of opportunity to improve quality of care and outcomes. Electronic medication order entry systems, with automated clinical risk screening and online alerting capabilities, appear as particularly promising enabling tools in such settings. The Medical Office of the Twenty First Century (MOXXI-III) research group is currently utilizing such a system that integrates identification of dosing errors, adverse drug interactions, drug-disease and allergy contraindications and potential toxicity or contraindications based on patient age. This paper characterizes the spectrum of alerts in an urban community of care involving 28 physicians and 32 pharmacies. Over a consecutive nine-month period, alerts were generated in 29% of 22,419 prescriptions, resulting in revised prescriptions in 14% of the alert cases. Drug-disease contraindications were the most common driver of alerts, accounting for 41% of the total and resulting in revised prescriptions in 14% of cases. In contrast, potential dosing errors generated only 8% of all alerts, but resulted in revised prescriptions 23% of the time. Overall, online evidence-based screening and alerting around prescription of medications in a community setting demands confirmation in prescribers' clinical decision making in almost one-third of prescriptions and leads to changed decisions in up to one-quarter of some prescribing categories. Its ultimate determination of clinical relevance to patient safety may, however, have to await more detailed examination of physician response to alerts and patient outcomes as a primary measure of utility. Patient safety is an increasingly recognized challenge and opportunity for stakeholders in improving health care delivery. It involves many issues, including delayed diagnosis and treatment, as well as inappropriate undertreatment and overtreatment. The common denominators, however, are that care and outcomes could be better, and there is a role for patients, providers and policy makers in making improvements.


Assuntos
Prescrições de Medicamentos , Erros de Medicação/prevenção & controle , Gestão da Segurança/organização & administração , Serviços de Saúde Comunitária , Humanos , Sistemas de Registro de Ordens Médicas/organização & administração , Quebeque
3.
Stud Health Technol Inform ; 107(Pt 2): 1101-5, 2004.
Artigo em Inglês | MEDLINE | ID: mdl-15360983

RESUMO

CONTEXT: Many adverse drug errors may be prevented through electronic order entry systems that provide decision support to physicians by screening prescriptions for dosing errors, drug-disease, drug-allergy and drug-drug interactions. The adherence to such decision aids is varied and the reasons for this variance not well understood. OBJECTIVE: To assess the feasibility and performance auto-mated drug alerts within an electronic decision support system for physician prescribing. METHODS: Drug alert data were collected from a pilot project with 30 participating general practitioners who were provided with interactive electronic prescription capabilities through a personal digital assistant (PDA). RESULTS: 66,642 electronic prescriptions resulted in a total of 1,869 drug alerts. The most common alert types were analysed, along with reasons for non-adherence to automated drug alerts. CONCLUSIONS: Non-adherence to alert information appears to be associated with additional knowledge of the clinical situation, beyond that inherent in the decision support tool, for the specific patient context. Further work is required to understand how best to provide this type of support to physicians.


Assuntos
Quimioterapia Assistida por Computador , Padrões de Prática Médica , Sistemas de Alerta , Sistemas de Informação em Farmácia Clínica , Prescrições de Medicamentos , Medicina de Família e Comunidade , Humanos , Erros de Medicação/prevenção & controle , Projetos Piloto , Interface Usuário-Computador
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