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药物相关临床决策支持在医生下达医嘱时的效果。

The effect of medication related clinical decision support at the time of physician order entry.

机构信息

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

Spaarne Gasthuis, Haarlem, The Netherlands.

出版信息

Int J Clin Pharm. 2021 Feb;43(1):137-143. doi: 10.1007/s11096-020-01121-1. Epub 2020 Sep 29.

Abstract

Background In advanced clinical decision support systems, patient characteristics and laboratory values are included in the algorithms that generate alerts. These alerts have a higher specificity than basic medication surveillance alerts. The alerts of advanced clinical decision support systems can be shown directly to the prescriber during order entry, without the risk of generating an overload of irrelevant alerts. We implemented five advanced algorithms that are shown directly to the prescriber. These algorithms are for gastrointestinal prophylaxis, folic or folinic acid prescribed with orally or subcutaneously administered methotrexate, vitamin D prescribed with bisphosphonates, hyponatremia and measuring plasma levels for vancomycin and gentamicin. Objective We evaluated the effect of the implementation of the algorithms. Setting We performed prospective intervention studies with a historical group for comparison in both inpatients and outpatients at a teaching hospital in the Netherlands. Methods We compared the time period after implementation of the algorithm with the time period before implementation, using data from the hospital information system Epic. Difference in guideline adherence were analyzed using Chi square tests. Main outcome measure The outcome measures were the number of alerts, the acceptance rate of the advice in the alert, and for the algorithm measuring plasma levels for vancomycin and gentamicin the time to the correct dose. Results For all algorithms, the implementation resulted in a significant increase in guideline adherence, varying from 11 to 36%. The acceptance rate varied from 14% for hyponatremia to 90% for methotrexate. For gastrointestinal prophylaxis the acceptance rate was 4.4% for basic drug-drug interaction alerts when no gastrointestinal prophylaxis was prescribed and increased to 44.7% after implementation of the advanced algorithm. This algorithm substantially decreased the number of alerts from 812 before implementation to 217 after implementation. After implementation of the algorithm for measuring plasma levels for vancomycin and gentamicin, the proportion of patients receiving the correct dose after 48 h increased from 73 to 84% (p = 0.03). Conclusion Implementation of advanced algorithms that take patient characteristics into account and are shown directly to the physician during order entry, result in an increased guideline adherence.

摘要

背景

在高级临床决策支持系统中,患者特征和实验室值被纳入生成警报的算法中。这些警报比基本药物监测警报具有更高的特异性。高级临床决策支持系统的警报可以在医嘱录入时直接显示给开方医生,而不会产生无关警报过载的风险。我们实施了五个直接显示给开方医生的高级算法。这些算法用于胃肠道预防、口服或皮下给予甲氨蝶呤时的叶酸或亚叶酸、与双膦酸盐一起开的维生素 D、低钠血症以及万古霉素和庆大霉素的血浆水平测量。

目的

评估算法实施的效果。

设置

我们在荷兰一所教学医院的住院患者和门诊患者中进行了前瞻性干预研究,并设置了历史对照组。

方法

我们使用医院信息系统 Epic 中的数据,将算法实施后的时间段与实施前的时间段进行比较。使用卡方检验分析指南遵守情况的差异。

主要结果测量

主要结果指标是警报数量、警报中建议的接受率,以及用于测量万古霉素和庆大霉素血浆水平的算法的正确剂量时间。

结果

所有算法的实施都导致指南遵守率显著提高,从 11%到 36%不等。接受率从低钠血症的 14%到甲氨蝶呤的 90%不等。对于胃肠道预防,当未开胃肠道预防药物时,基本药物-药物相互作用警报的接受率为 4.4%,而实施高级算法后,接受率增加到 44.7%。该算法大大减少了实施前的 812 次警报,降至实施后的 217 次。在实施万古霉素和庆大霉素血浆水平测量算法后,48 小时后接受正确剂量的患者比例从 73%增加到 84%(p=0.03)。

结论

实施考虑患者特征并在医嘱录入时直接显示给医生的高级算法可提高指南遵守率。

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