首页> 外文期刊>European journal of clinical pharmacology >Evaluation of medication safety in the discharge medication of 509 surgical inpatients using electronic prescription support software and an extended operational interaction classification.
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Evaluation of medication safety in the discharge medication of 509 surgical inpatients using electronic prescription support software and an extended operational interaction classification.

机译:使用电子处方支持软件和扩展的操作交互分类对509名外科住院患者的出院药物进行药物安全性评估。

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PURPOSE: Our aim was to study drug interactions and dose adjustments in patients with renal impairment in the discharge medication of surgical inpatients and to evaluate the strengths and limitations of clinical decision support software (CDSS) for this task. METHODS: This was a cross-sectional study involving 509 surgical patients of a primary care hospital. We developed a customized interface for the CDSS MediQ, which we used for automated retrospective identification of drug interactions in the patients' discharge medication. The clinical relevance of the interactions was evaluated based on the Zurich Interaction System (ZHIAS) that incorporates the operational classification of drug interactions (ORCA). Prescriptions were further analyzed for recommended dose adjustments in patients with a glomerular filtration rate <60 ml/min. RESULTS: For the total of 2,729 prescriptions written for the 509 patients enrolled in the study, MediQ generated 2,558 interaction alerts and 1,849 comments. Among these were ten "high danger" and 551 "average danger" alerts that we reclassified according to ORCA criteria. This reclassification resulted in ten contraindicated combinations, 77 provisionally contraindicated combinations, and 310 with a conditional and 164 with a minimal risk of adverse outcomes. The ZHIAS classification also provides categorical information on expected adverse outcomes and management recommendations, which are presented in detail. We identified 56 prescriptions without a recommended dose adjustment for impaired renal function. CONCLUSIONS: CDSS identified a large number of drug interactions in surgical discharge medication, but according to ZHIAS criteria only a minor fraction of these appeared to involve a substantial risk to the patient. CDSS should therefore aim at reducing over-alerting and improve usability in order to become more efficacious in terms of the prevention of adverse drug events in clinical practice.
机译:目的:我们的目的是研究外科住院病人的出院药物中肾功能不全患者的药物相互作用和剂量调整,并评估该任务的临床决策支持软件(CDSS)的优势和局限性。方法:这是一项横断面研究,涉及509名基层医疗医院的外科手术患者。我们为CDSS MediQ开发了定制的界面,该界面用于自动回顾性识别患者出院药物中的药物相互作用。基于苏黎世相互作用系统(ZHIAS)评估了相互作用的临床相关性,该系统结合了药物相互作用的操作分类(ORCA)。对于肾小球滤过率<60 ml / min的患者,对处方进行进一步分析,以建议调整剂量。结果:针对为该研究招募的509名患者编写的总共2729张处方药,MediQ产生了2558次互动警报和1849条评论。其中有十个“高危险”警报和551个“平均危险”警报,我们根据ORCA标准对其进行了重新分类。这种重新分类导致了十种禁忌组合,77种临时禁忌组合和310种有条件的组合以及164种具有最小不良后果风险的组合。 ZHIAS分类还提供了有关预期的不良结果和管理建议的分类信息,这些信息已详细介绍。我们确定了56份未建议调整肾功能受损剂量的处方。结论:CDSS在外科出院药物中发现了大量药物相互作用,但根据ZHIAS标准,其中只有一小部分似乎对患者构成重大风险。因此,CDSS旨在减少过度警惕并提高可用性,以便在临床实践中预防药物不良事件方面更加有效。

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