The Effect of Computerized Alerts on Prescribing and Patient Outcomes: A Systematic Review.

IF 2.1 2区 医学 Q4 MEDICAL INFORMATICS
Brian Bell, Adam Khimji, Basharat Hussain, Anthony Avery
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Abstract

Background In recent years, there has been an expansion in the literature on the effects of computerized alerts on prescribing and patient outcomes. The aim of our study was to examine the impact of these systems on clinician prescribing and patient outcomes. Methods We searched three databases (Medline, Embase and PsychINFO) for studies that had been conducted since 2009 and included studies that examined the effects of alerts at the point of prescribing. We extracted data from 69 studies. Results Most studies reported a beneficial effect on prescribing of computerized alerts (n = 58, 84.1%), including all studies (n=4) that used passive alerts. Seven of the 10 studies that reported on patient outcomes showed a beneficial effect. Both randomized controlled trials (RCTs) and non-RCTS showed beneficial effects on prescribing across a range of different types of alert. In 43 studies it was possible to ascertain the effects of different types of alert; the interventions that were most frequently associated with improvements in prescribing were drug-laboratory alerts (9/11; 81.8%); dose range checking (6/7; 85.7%); formulary alerts (8/9; 88.9%) and drug-allergy alerts (4/4; 100%). However, most of the studies did not satisfy the quality criteria. Conclusion Most of the studies found a beneficial effect of computerized alerts on prescribing. We have also shown that these benefits are apparent for a range of different types of alert. These findings support continued development, implementation and evaluation of computerized alerts for prescribing.

计算机警报对处方和患者预后的影响:一项系统综述。
近年来,关于计算机警报对处方和患者结果的影响的文献有所增加。我们研究的目的是检查这些系统对临床医生处方和患者预后的影响。方法:我们检索了三个数据库(Medline, Embase和PsychINFO),检索了自2009年以来进行的研究,其中包括检查处方点警报影响的研究。我们从69项研究中提取数据。结果大多数研究报告了计算机警报处方的有益效果(n= 58, 84.1%),包括所有使用被动警报的研究(n=4)。在报告患者结果的10项研究中,有7项显示了有益的效果。随机对照试验(rct)和非随机对照试验均显示,在一系列不同类型的警报中,处方具有有益效果。在43项研究中,可以确定不同类型警报的影响;与处方改善最相关的干预措施是药物实验室警报(9/11;81.8%);剂量范围检查(6/7;85.7%);处方警报(8/9;88.9%)和药物过敏警报(4/4;100%)。然而,大多数研究不符合质量标准。结论:大多数研究发现计算机警报对处方有有益的影响。我们还表明,这些好处对一系列不同类型的警报都是明显的。这些发现支持继续开发、实施和评估计算机化的处方警报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
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