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Drug prescribing in patients with renal impairment optimized by a computer-based, semi-automated system

机译:通过基于计算机的半自动系统优化的肾功能不全患者的药物处方

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Background According to several studies, despite of the existence of several published guidelines for dosing adjustments based on renal function, inappropriate prescribing is a common drug-related problem in inpatient care. Objective We developed and implemented a system for drug dosage adjustment integrated into the Hospital computer provider order entry system. This system allows pharmacists to identify patients with reduced renal function, identify medication orders that may require dosage modifications based on renal function, and generate an alert with a recommendation of specific dosage adjustment. Using the Summary of Product Characteristics and two drug databases (Micromedex 2.0? and Lexicomp?), specific dosage guidelines for drugs used in patients with renal impairment were established. Setting A 264-bed tertiary teaching hospital. Methods We performed a quasi-experimental, one-group, pretest-posttest study to assess the efficacy of this intervention program. We compared the differences between the frequency of appropriate orders pre- and post-test using the McNemar test. Main outcome measures: the frequency of appropriate orders before the recommendation (pre-test) and after the recommendation (post-test).
机译:背景技术根据几项研究,尽管存在一些针对肾功能进行剂量调整的已发布指南,但处方不当是住院治疗中常见的药物相关问题。目的我们开发并实施了一种将药物剂量调整系统集成到医院计算机提供商订单输入系统中的系统。该系统使药剂师可以识别肾功能减退的患者,识别可能需要根据肾功能进行剂量调整的用药顺序,并在建议进行特定剂量调整时发出警报。使用产品特征摘要和两个药物数据库(Micromedex 2.0?和Lexicomp?),建立了肾功能不全患者所用药物的具体剂量指南。设置拥有264张床位的三级教学医院。方法我们进行了一项准实验,单组,前测后测的研究,以评估该干预计划的有效性。我们使用McNemar测试比较了测试前后适当订单频率之间的差异。主要结果度量:推荐之前(测试前)和推荐之后(测试后)的适当订单频率。

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