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1.
J Am Med Inform Assoc ; 25(5): 476-481, 2018 05 01.
Artigo em Inglês | MEDLINE | ID: mdl-29092059

RESUMO

Objective: To define the types and numbers of inpatient clinical decision support alerts, measure the frequency with which they are overridden, and describe providers' reasons for overriding them and the appropriateness of those reasons. Materials and Methods: We conducted a cross-sectional study of medication-related clinical decision support alerts over a 3-year period at a 793-bed tertiary-care teaching institution. We measured the rate of alert overrides, the rate of overrides by alert type, the reasons cited for overrides, and the appropriateness of those reasons. Results: Overall, 73.3% of patient allergy, drug-drug interaction, and duplicate drug alerts were overridden, though the rate of overrides varied by alert type (P < .0001). About 60% of overrides were appropriate, and that proportion also varied by alert type (P < .0001). Few overrides of renal- (2.2%) or age-based (26.4%) medication substitutions were appropriate, while most duplicate drug (98%), patient allergy (96.5%), and formulary substitution (82.5%) alerts were appropriate. Discussion: Despite warnings of potential significant harm, certain categories of alert overrides were inappropriate >75% of the time. The vast majority of duplicate drug, patient allergy, and formulary substitution alerts were appropriate, suggesting that these categories of alerts might be good targets for refinement to reduce alert fatigue. Conclusion: Almost three-quarters of alerts were overridden, and 40% of the overrides were not appropriate. Future research should optimize alert types and frequencies to increase their clinical relevance, reducing alert fatigue so that important alerts are not inappropriately overridden.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Quimioterapia Assistida por Computador , Sistemas de Registro de Ordens Médicas , Fadiga de Alarmes do Pessoal de Saúde , Estudos Transversais , Hipersensibilidade a Drogas , Interações Medicamentosas , Humanos , Uso Significativo , Sistemas de Registro de Ordens Médicas/estatística & dados numéricos
2.
J Crit Care ; 39: 156-161, 2017 06.
Artigo em Inglês | MEDLINE | ID: mdl-28259059

RESUMO

PURPOSE: Medication-related clinical decision support (CDS) has been identified as a method to improve patient outcomes but is historically frequently overridden and may be inappropriately so. Patients in the intensive care unit (ICU) are at a higher risk of harm from adverse drug events (ADEs) and these overrides may increase patient harm. The objective of this study is to determine appropriateness of overridden medication-related CDS overrides in the ICU. MATERIALS AND METHODS: We evaluated overridden medication-related alerts of four alert categories from January 2009 to December 2011. The primary outcome was the appropriateness of a random sample of overrides based on predetermined criteria. Secondary outcomes included the incidence of adverse drug events (ADEs) that resulted from the overridden alert. RESULTS: A total of 47,449 overridden alerts were included for evaluation. The appropriateness rate for overridden alerts varied by alert category (allergy: 94%, drug-drug interaction: 84%, geriatric: 57%, renal: 27%). A total of seven actual ADEs were identified in the random sample and where the medication(s) was administered (n=366), with an increased risk of ADEs associated with inappropriately overridden alerts (p=0.0078). CONCLUSIONS: The appropriateness of medication-related clinical decision support overrides in the ICU varied substantially by the type of alert. Inappropriately overridden alerts were associated with an increased risk of ADEs compared to appropriately overridden alerts.


Assuntos
Cuidados Críticos/estatística & dados numéricos , Sistemas de Apoio a Decisões Clínicas , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/etiologia , Sistemas de Registro de Ordens Médicas/estatística & dados numéricos , Idoso , Feminino , Humanos , Unidades de Terapia Intensiva/estatística & dados numéricos , Masculino , Erros de Medicação/estatística & dados numéricos , Pessoa de Meia-Idade
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