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Computerized clinical decision support systems for therapeutic drug monitoring and dosing: A decision-maker-researcher partnership systematic review

机译:用于治疗药物监测和给药的计算机化临床决策支持系统:决策者与研究者的伙伴关系,系统综述

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Background Some drugs have a narrow therapeutic range and require monitoring and dose adjustments to optimize their efficacy and safety. Computerized clinical decision support systems (CCDSSs) may improve the net benefit of these drugs. The objective of this review was to determine if CCDSSs improve processes of care or patient outcomes for therapeutic drug monitoring and dosing. Methods We conducted a decision-maker-researcher partnership systematic review. Studies from our previous review were included, and new studies were sought until January 2010 in MEDLINE, EMBASE, Evidence-Based Medicine Reviews, and Inspec databases. Randomized controlled trials assessing the effect of a CCDSS on process of care or patient outcomes were selected by pairs of independent reviewers. A study was considered to have a positive effect (i.e., CCDSS showed improvement) if at least 50% of the relevant study outcomes were statistically significantly positive. Results Thirty-three randomized controlled trials were identified, assessing the effect of a CCDSS on management of vitamin K antagonists (14), insulin (6), theophylline/aminophylline (4), aminoglycosides (3), digoxin (2), lidocaine (1), or as part of a multifaceted approach (3). Cluster randomization was rarely used (18%) and CCDSSs were usually stand-alone systems (76%) primarily used by physicians (85%). Overall, 18 of 30 studies (60%) showed an improvement in the process of care and 4 of 19 (21%) an improvement in patient outcomes. All evaluable studies assessing insulin dosing for glycaemic control showed an improvement. In meta-analysis, CCDSSs for vitamin K antagonist dosing significantly improved time in therapeutic range. Conclusions CCDSSs have potential for improving process of care for therapeutic drug monitoring and dosing, specifically insulin and vitamin K antagonist dosing. However, studies were small and generally of modest quality, and effects on patient outcomes were uncertain, with no convincing benefit in the largest studies. At present, no firm recommendation for specific systems can be given. More potent CCDSSs need to be developed and should be evaluated by independent researchers using cluster randomization and primarily assess patient outcomes related to drug efficacy and safety.
机译:背景技术一些药物的治疗范围狭窄,需要进行监测和剂量调整以优化其疗效和安全性。电脑化临床决策支持系统(CCDSSs)可能会改善这些药物的净收益。这篇综述的目的是确定CCDSS是否改善了治疗药物监测和给药的护理过程或患者预后。方法我们进行了决策者-研究者伙伴关系的系统评价。纳入了我们之前的综述中的研究,并在MEDLINE,EMBASE,循证医学评论和Inspec数据库中寻求新的研究,直到2010年1月。由成对的独立审阅者选择评估CCDSS对护理过程或患者预后的影响的随机对照试验。如果至少有50%的相关研究成果在统计学上显着阳性,则认为一项研究具有积极作用(即CCDSS表现出改善)。结果确定了33项随机对照试验,评估CCDSS对维生素K拮抗剂(14),胰岛素(6),茶碱/氨茶碱(4),氨基糖苷(3),地高辛(2),利多卡因( 1),或作为多方面方法(3)的一部分。集群随机分配很少使用(18%),CCDSS通常是独立系统(76%),主要由医师使用(85%)。总体而言,在30项研究中,有18项(占60%)显示护理过程有所改善,在19项中有4项(占21%)显示患者预后有所改善。所有评估用于血糖控制的胰岛素剂量的可评估研究均显示出改善。在荟萃分析中,用于维生素K拮抗剂给药的CCDSS可显着缩短治疗范围内的时间。结论CCDSS具有改善治疗药物监测和给药特别是胰岛素和维生素K拮抗剂给药的护理过程的潜力。但是,研究规模很小,一般质量不高,对患者预后的影响尚不确定,在大型研究中没有令人信服的获益。目前,还没有针对特定系统的坚定建议。需要开发更有效的CCDSS,并应由独立研究人员使用整群随机化方法进行评估,并主要评估与药物疗效和安全性有关的患者预后。

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