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Diagnosis (Berl). 2018 Jun 27;5(2):71-76. doi: 10.1515/dx-2017-0045.
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Identifying Increased Risk of Readmission and In-hospital Mortality Using Hospital Administrative Data: The AHRQ Elixhauser Comorbidity Index.利用医院管理数据识别再入院和住院死亡率增加的风险:AHRQ埃利克斯豪泽共病指数
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The Effects of Clinical Decision Support Systems on Medication Safety: An Overview.临床决策支持系统对用药安全的影响:综述
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6
Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.临床决策支持:25年回顾与25年展望
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Drug interaction alert override rates in the Meaningful Use era: no evidence of progress.有意义使用时代的药物相互作用警报忽略率:无进展证据。
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How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use.电子健康记录是如何被使用的?利用电子健康记录数据评估医生在技术使用方面的个体差异。
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Efficacy of an evidence-based clinical decision support in primary care practices: a randomized clinical trial.基于证据的临床决策支持在初级保健实践中的疗效:一项随机临床试验。
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Cognitive analysis of decision support for antibiotic ordering in a neonatal intensive care unit.对新生儿重症监护病房抗生素医嘱决策支持的认知分析。
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医生对非中断临床决策支持警报的反应中警觉疲劳的不同成分。

Distinct components of alert fatigue in physicians' responses to a noninterruptive clinical decision support alert.

机构信息

Medical Informatics, Kaiser Permanente Southern California, San Diego, CA, USA.

Division of General Internal Medicine, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

出版信息

J Am Med Inform Assoc. 2022 Dec 13;30(1):64-72. doi: 10.1093/jamia/ocac191.

DOI:10.1093/jamia/ocac191
PMID:36264258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9748542/
Abstract

OBJECTIVE

Clinical decision support (CDS) alerts may improve health care quality but "alert fatigue" can reduce provider responsiveness. We analyzed how the introduction of competing alerts affected provider adherence to a single depression screening alert.

MATERIALS AND METHODS

We analyzed the audit data from all occurrences of a CDS alert at a large academic health system. For patients who screen positive for depression during ambulatory visits, a noninterruptive alert was presented, offering a number of relevant documentation actions. Alert adherence was defined as the selection of any option offered within the alert. We assessed the effect of competing clinical guidance alerts presented during the same encounter and the total of all CDS alerts that the same provider had seen in the prior 90 days, on the probability of depression screen alert adherence, adjusting for physician and patient characteristics.

RESULTS

The depression alert fired during 55 649 office visits involving 418 physicians and 40 474 patients over 41 months. After adjustment, physicians who had seen the most alerts in the prior 90 days were much less likely to respond (adjusted OR highest-lowest quartile, 0.38; 95% CI 0.35-0.42; P < .001). Competing alerts in the same visit further reduced the likelihood of adherence only among physicians in the middle two quartiles of alert exposure in the prior 90 days.

CONCLUSIONS

Adherence to a noninterruptive depression alert was strongly associated with the provider's cumulative alert exposure over the past quarter. Health systems should monitor providers' recent alert exposure as a measure of alert fatigue.

摘要

目的

临床决策支持(CDS)警报可能会提高医疗质量,但“警报疲劳”会降低提供者的响应能力。我们分析了引入竞争警报如何影响提供者对单一抑郁筛查警报的依从性。

材料和方法

我们分析了大型学术医疗系统中所有 CDS 警报出现的审核数据。对于在门诊就诊时筛查出抑郁症的患者,会显示一个非中断警报,并提供一些相关的文档操作选项。警报依从性定义为在警报中选择任何提供的选项。我们评估了在同一就诊期间出现的竞争临床指导警报以及同一提供者在过去 90 天内看到的所有 CDS 警报的总数对抑郁筛查警报依从性的影响,同时调整了医生和患者的特征。

结果

在 41 个月期间,该抑郁警报在涉及 418 名医生和 40474 名患者的 55649 次就诊中触发。调整后,在过去 90 天内看到最多警报的医生更不可能做出响应(调整后的 OR 最高-最低四分位距,0.38;95%CI 0.35-0.42;P < 0.001)。只有在过去 90 天内处于警报暴露中位数的医生中,同一就诊中的竞争警报进一步降低了依从性的可能性。

结论

对非中断性抑郁警报的依从性与提供者过去一个季度的累积警报暴露密切相关。医疗系统应监测提供者最近的警报暴露情况,作为警报疲劳的衡量标准。