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Assessing medication prescribing errors in pediatric intensive care units.

机译:在儿科重症监护病房中评估处方药错误。

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摘要

OBJECTIVE: To evaluate a matrix for determining the predominant type, cause category, and rate of medication prescribing errors, and to explore the effectiveness of hospital-based improvement initiatives among pediatric intensive care units (PICUs). DESIGN: This study involved the prospective identification of medication errors for categorization and evaluation by using a matrix methodology. A pretest-posttest design without a control group was used to explore the impact of initiatives employed to reduce medication error rates and severity. SETTING: PICUs in nine freestanding, collaborating tertiary care children's hospitals that participated in both baseline and postintervention analyses. Methods: We evaluated 12,026 PICU medication orders at baseline and 9,187 orders postintervention for prescribing errors, excluding resuscitation orders. A standardized tool and process captured error type, cause category, and severity for 2 wks before and after intervention. Three levels of error detection were usedand included pharmacy order entry, PICU nurse order transcription, and team-based overview. Site-specific interventions were implemented, which included predominantly provider education as well as informational (47%) and dosing "assists" via preprinted orders, forcing functions, or prompts (39%). RESULTS: Of baseline orders, 11.1% had at least one prescribing error. The interception of prescribing errors improved 30.9% (1.6% of all orders at baseline, 2.0% post intervention). Preventable adverse drug events were uncommon (0.6% of all medication errors) and of low severity at baseline; most were wrong dose errors. The implementation of improvement initiatives, specific for each facility, resulted in a 31.6% reduction in prescribing errors from 11.1% to 7.6%. However, site results varied considerably. CONCLUSIONS: A benchmark for medication prescribing errors in the PICU was identified among nine children's hospitals. The methodology was successful in accounting for site-specific differences with regard to identifying and documenting errors as well as reporting results of improvement initiatives. Furthermore, the methodology employed was generalizable in the identification of predominant prescribing error types, which helped to track individual hospital improvement initiative development and implementation. Overall improvement in prescribing error rates was noted; however, considerable variation in the success of improvement initiatives was noted and bears further attention.
机译:目的:评估矩阵以确定主要类型,原因类别和用药处方错误率,并探讨小儿重症监护病房(PICU)基于医院的改善措施的有效性。设计:本研究涉及使用矩阵方法对药物错误进行分类和评估的前瞻性识别。没有对照组的前测后测设计被用来探讨减少药物错误率和严重性的措施的影响。地点:参与基线和干预后分析的九家独立的,合作的三级儿童医院中的PICU。方法:我们评估了基线时的12026例PICU药物订单和干预后的9 187例处方错误处方,但不包括复苏订单。标准化工具和流程在干预前后2周内捕获了错误类型,原因类别和严重性。使用了三个级别的错误检测,包括药房订单输入,PICU护士订单转录和基于团队的概述。实施了针对特定地点的干预措施,其中主要包括提供者教育以及信息性培训(47%),并通过预打印的订单,强制功能或提示进行剂量“协助”(39%)。结果:在基准订单中,有11.1%的客户至少存在一个处方错误。处方错误的拦截率提高了30.9%(基线时所有订单的1.6%,干预后为2.0%)。可预防的不良药物事件很少见(占所有用药错误的0.6%),在基线时严重程度较低;大多数是错误的剂量错误。实施针对每个设施的改进措施后,处方错误率降低了31.6%,从11.1%降低到7.6%。但是,现场结果差异很大。结论:在九家儿童医院中确定了PICU中处方药处方错误的基准。该方法成功地解决了在识别和记录错误以及报告改进计划结果方面特定于站点的差异。此外,所采用的方法在确定主要处方错误类型方面具有普遍性,有助于跟踪个别医院改善计划的制定和实施。注意到处方错误率的总体改善;但是,人们注意到改进计划的成功有很大的不同,因此需要进一步关注。

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