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如何在计算机化医生医嘱录入系统中改进用药提醒的传递:一项国际 Delphi 研究。

How to improve the delivery of medication alerts within computerized physician order entry systems: an international Delphi study.

机构信息

Institute for Medical Informatics, UMIT-University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

出版信息

J Am Med Inform Assoc. 2011 Nov-Dec;18(6):760-6. doi: 10.1136/amiajnl-2010-000006. Epub 2011 Jun 22.

Abstract

OBJECTIVES

To determine what information can be helpful in prioritizing and presenting medication alerts according to the context of the clinical situation. To assess the usefulness of different ways of delivering medication alerts to the user.

DESIGN

An international Delphi study with two quantitative rounds. 69 researchers with expertise in computerized physician order entry (CPOE) systems were asked to estimate the usefulness of 20 possible context factors, and to assess the potential impact of six innovative ways of delivering alert information on adverse drug event (ADE) rates.

RESULTS

Participants identified the following top five context information items (in descending order of usefulness): (1) severity of the effect of the ADE the alert refers to; (2) clinical status of the patient; (3) probability of occurrence of the ADE the alert refers to; (4) risk factors of the patient; and (5) strength of evidence on which the alert is built. The ways of delivering alert information with the highest estimated ADE reduction potential are active alerting, proactive prescription simulation and a patient medication module that gives patient-oriented alert information.

LIMITATIONS

Most participants had a research-oriented focus; therefore the results may not reflect the opinions of CPOE users or CPOE implementers.

CONCLUSION

The study results may provide CPOE system developers and healthcare institutions with information on how to design more effective alert mechanisms.

摘要

目的

确定根据临床情况的背景,哪些信息有助于对药物警报进行优先级排序和呈现。评估向用户传递药物警报的不同方式的有用性。

设计

一项具有两个定量轮次的国际 Delphi 研究。20 名具有计算机化医嘱录入 (CPOE) 系统专业知识的研究人员被要求评估 20 种可能的情境因素的有用性,并评估六种创新的传递警报信息方式对药物不良事件 (ADE) 发生率的潜在影响。

结果

参与者确定了以下五个最重要的情境信息项(按有用性降序排列):(1)警报所指 ADE 的影响严重程度;(2)患者的临床状况;(3)警报所指 ADE 的发生概率;(4)患者的风险因素;(5)警报所依据的证据强度。传递警报信息的方式中,预计减少 ADE 的潜力最高的是主动警报、主动处方模拟和提供面向患者的警报信息的患者用药模块。

局限性

大多数参与者的重点是研究导向;因此,结果可能无法反映 CPOE 用户或 CPOE 实施者的意见。

结论

研究结果可为 CPOE 系统开发人员和医疗机构提供有关如何设计更有效的警报机制的信息。

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