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医生在开处方过程中对临床决策支持系统警报的依从性。

Physicians' Compliance with a Clinical Decision Support System Alerting during the Prescribing Process.

作者信息

Baypinar Fatih, Kingma Hylke Jan, van der Hoeven Ruud T M, Becker Matthijs L

机构信息

Pharmacy Foundation of Haarlem Hospitals, Boerhaavelaan 24, 2035, RC, Haarlem, the Netherlands.

出版信息

J Med Syst. 2017 Jun;41(6):96. doi: 10.1007/s10916-017-0717-4. Epub 2017 May 8.

Abstract

Clinical decision support systems have been shown to improve practitioner performance. Most systems designed to prevent medication errors generate lists with patients who fulfill the criteria of the algorithm. These lists are reviewed by a pharmacist and physicians are contacted by telephone. Presenting pop-up alerts as part of the workflow with a clear recommendation is a feature critical to success. Therefore we implemented three algorithms in a clinical decision support system alerting during the medication ordering process. We analyzed whether the recommendations in these alerts were followed. We evaluated 1. whether folic or folinic acid was co-prescribed more frequently within 48 h after ordering methotrexate, 2. whether vitamin D or analogues were co-prescribed more frequently within 48 h after ordering bisphophonates and 3. whether sodium lowering drugs were stopped more frequently within one hour in patients with hyponatremia. We analyzed the difference in the 48 days before implementation and the 43 days after implementation, using Pearson's Chi test. Co-prescription of folic or folinic acid increased from 54 to 91% (p = 0.014), co-prescription of vitamin D or analogues increased from 11 to 40% (p = 0.001) and the number of stopped orders for sodium lowering drugs increased from 3 to 14% (p = 0.002). This clinical decision support system that alerts physicians for preventable medication errors during the medication ordering process is an effective approach to improve prescribing behavior.

摘要

临床决策支持系统已被证明可提高从业者的表现。大多数旨在预防用药错误的系统会生成符合算法标准的患者列表。这些列表由药剂师审核,并通过电话联系医生。作为工作流程一部分呈现带有明确建议的弹出式警报是成功的关键特征。因此,我们在临床决策支持系统中实施了三种算法,在用药医嘱过程中发出警报。我们分析了这些警报中的建议是否得到遵循。我们评估了:1. 在开出甲氨蝶呤后的48小时内,叶酸或亚叶酸的联合处方是否更频繁;2. 在开出双膦酸盐后的48小时内,维生素D或其类似物的联合处方是否更频繁;3. 低钠血症患者在1小时内停用降钠药物的情况是否更频繁。我们使用Pearson卡方检验分析了实施前48天和实施后43天的差异。叶酸或亚叶酸的联合处方从54%增加到91%(p = 0.014),维生素D或其类似物的联合处方从11%增加到40%(p = 0.001),降钠药物的停用医嘱数量从3%增加到14%(p = 0.002)。这种在用药医嘱过程中提醒医生注意可预防用药错误的临床决策支持系统是改善处方行为的有效方法。

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