The Acceptance of Interruptive Medication Alerts in an Electronic Decision Support System Differs between Different Alert Types.

IF 1.3 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Methods of Information in Medicine Pub Date : 2021-12-01 Epub Date: 2021-08-27 DOI:10.1055/s-0041-1735169
Janina A Bittmann, Elisabeth K Rein, Michael Metzner, Walter E Haefeli, Hanna M Seidling
{"title":"The Acceptance of Interruptive Medication Alerts in an Electronic Decision Support System Differs between Different Alert Types.","authors":"Janina A Bittmann,&nbsp;Elisabeth K Rein,&nbsp;Michael Metzner,&nbsp;Walter E Haefeli,&nbsp;Hanna M Seidling","doi":"10.1055/s-0041-1735169","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Through targeted medication alerts, clinical decision support systems (CDSS) help users to identify medication errors such as disregarded drug-drug interactions (DDIs). Override rates of such alerts are high; however, they can be mitigated by alert tailoring or workflow-interrupting display of severe alerts that need active user acceptance or overriding. Yet, the extent to which the displayed alert interferes with the prescribers' workflow showed inconclusive impact on alert acceptance.</p><p><strong>Objectives: </strong>We aimed to assess whether and how often prescriptions were changed as a potential result of interruptive alerts on different (contraindicated) prescription constellations with particularly high risks for adverse drug events (ADEs).</p><p><strong>Methods: </strong>We retrospectively collected data of all interruptive alerts issued between March 2016 and August 2020 in the local CDSS (AiD<i>Klinik</i>) at Heidelberg University Hospital. The alert battery consisted of 31 distinct alerts for contraindicated DDI with simvastatin, potentially inappropriate medication for patients > 65 years (PIM, <i>N</i> = 14 drugs and 36 drug combinations), and contraindicated drugs in hyperkalemia (<i>N</i> = 5) that could be accepted or overridden giving a reason in free-text form.</p><p><strong>Results: </strong>In 935 prescribing sessions of 500 274 total sessions, at least one interruptive alert was fired. Of all interruptive alerts, about half of the sessions were evaluable whereof in total 57.5% (269 of 468 sessions) were accepted while 42.5% were overridden. The acceptance rate of interruptive alerts differed significantly depending on the alert type (<i>p</i> <0.0001), reaching 85.7% for DDI alerts (<i>N</i> = 185), 65.3% for contraindicated drugs in hyperkalemia (<i>N</i> = 98), and 25.1% for PIM alerts (<i>N</i> = 185).</p><p><strong>Conclusion: </strong>A total of 57.5% of the interruptive medication alerts with particularly high risks for ADE in our setting were accepted while the acceptance rate differed according to the alert type with contraindicated simvastatin DDI alerts being accepted most frequently.</p>","PeriodicalId":49822,"journal":{"name":"Methods of Information in Medicine","volume":"60 5-06","pages":"180-184"},"PeriodicalIF":1.3000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods of Information in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/s-0041-1735169","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/8/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 3

Abstract

Background: Through targeted medication alerts, clinical decision support systems (CDSS) help users to identify medication errors such as disregarded drug-drug interactions (DDIs). Override rates of such alerts are high; however, they can be mitigated by alert tailoring or workflow-interrupting display of severe alerts that need active user acceptance or overriding. Yet, the extent to which the displayed alert interferes with the prescribers' workflow showed inconclusive impact on alert acceptance.

Objectives: We aimed to assess whether and how often prescriptions were changed as a potential result of interruptive alerts on different (contraindicated) prescription constellations with particularly high risks for adverse drug events (ADEs).

Methods: We retrospectively collected data of all interruptive alerts issued between March 2016 and August 2020 in the local CDSS (AiDKlinik) at Heidelberg University Hospital. The alert battery consisted of 31 distinct alerts for contraindicated DDI with simvastatin, potentially inappropriate medication for patients > 65 years (PIM, N = 14 drugs and 36 drug combinations), and contraindicated drugs in hyperkalemia (N = 5) that could be accepted or overridden giving a reason in free-text form.

Results: In 935 prescribing sessions of 500 274 total sessions, at least one interruptive alert was fired. Of all interruptive alerts, about half of the sessions were evaluable whereof in total 57.5% (269 of 468 sessions) were accepted while 42.5% were overridden. The acceptance rate of interruptive alerts differed significantly depending on the alert type (p <0.0001), reaching 85.7% for DDI alerts (N = 185), 65.3% for contraindicated drugs in hyperkalemia (N = 98), and 25.1% for PIM alerts (N = 185).

Conclusion: A total of 57.5% of the interruptive medication alerts with particularly high risks for ADE in our setting were accepted while the acceptance rate differed according to the alert type with contraindicated simvastatin DDI alerts being accepted most frequently.

在电子决策支持系统中,不同警报类型对中断药物警报的接受程度不同。
背景:通过有针对性的药物警报,临床决策支持系统(CDSS)帮助用户识别药物错误,如忽视药物-药物相互作用(ddi)。这类警报的覆盖率很高;但是,可以通过警报裁剪或显示需要主动用户接受或覆盖的严重警报来缓解这些问题。然而,显示的警报干扰处方者工作流程的程度对警报接受的影响尚无定论。目的:我们旨在评估不同(禁忌症)处方星座的药物不良事件(ADEs)风险特别高的潜在中断警报是否以及多久改变一次处方。方法:回顾性收集海德堡大学医院当地CDSS (AiDKlinik)在2016年3月至2020年8月期间发布的所有中断警报的数据。警报组由31个不同的警报组成,包括辛伐他汀禁忌症DDI, > 65岁患者可能不适当的药物(PIM, N = 14种药物和36种药物组合),以及高钾血症禁忌症药物(N = 5),可以接受或撤销,并以自由文本形式给出理由。结果:在500 274次处方的935次处方中,至少触发了一次中断警报。在所有中断警报中,大约一半的会话是可评估的,其中总共57.5%(468个会话中的269个)被接受,而42.5%被覆盖。不同警报类型的中断警报的接受率差异显著(p N = 185),高钾血症禁忌症药物的接受率为65.3% (N = 98), PIM警报的接受率为25.1% (N = 185)。结论:本组ADE高危中断用药警报的通过率为57.5%,不同警报类型的通过率不同,以辛伐他汀类DDI禁忌症警报的通过率最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Methods of Information in Medicine
Methods of Information in Medicine 医学-计算机:信息系统
CiteScore
3.70
自引率
11.80%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Good medicine and good healthcare demand good information. Since the journal''s founding in 1962, Methods of Information in Medicine has stressed the methodology and scientific fundamentals of organizing, representing and analyzing data, information and knowledge in biomedicine and health care. Covering publications in the fields of biomedical and health informatics, medical biometry, and epidemiology, the journal publishes original papers, reviews, reports, opinion papers, editorials, and letters to the editor. From time to time, the journal publishes articles on particular focus themes as part of a journal''s issue.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信