User Actions Within a Clinical Decision Support Alert for the Management of Hypertension in Chronic Kidney Disease.

IF 2.1 2区 医学 Q4 MEDICAL INFORMATICS
Lipika Samal, Sarah W Chen, Stuart Lipsitz, Heather J Baer, John L Kilgallon, Michael P Gannon, Ryan Dunk, Weng Ian Chay, Richard Fay, Michael Sainlaire, Chenxi Gao, Matthew Wien, Pamela Garabedian, Edward Wu, Hojjat Salmasian, David W Bates, Patricia Dykes, Adam Wright, Allison B McCoy
{"title":"User Actions Within a Clinical Decision Support Alert for the Management of Hypertension in Chronic Kidney Disease.","authors":"Lipika Samal, Sarah W Chen, Stuart Lipsitz, Heather J Baer, John L Kilgallon, Michael P Gannon, Ryan Dunk, Weng Ian Chay, Richard Fay, Michael Sainlaire, Chenxi Gao, Matthew Wien, Pamela Garabedian, Edward Wu, Hojjat Salmasian, David W Bates, Patricia Dykes, Adam Wright, Allison B McCoy","doi":"10.1055/a-2554-3969","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To examine user actions within a clinical decision support (CDS) alert addressing hypertension (HTN) in chronic kidney disease (CKD).</p><p><strong>Methods: </strong>A pragmatic randomized controlled trial of a CDS alert for primary care patients with CKD and uncontrolled blood pressure included pre-checked default orders for medication initiation or titration, basic metabolic panel (BMP), and nephrology electronic consult. We examined each type of action and calculated percentages of placed and signed orders for subgroups of firings.</p><p><strong>Results: </strong>There were firings for medication initiation (813) and medication titration (430), and every firing also included orders for nephrology electronic consult (1243) and BMP (1243). High rates of override (59.6%) and deferral (14.6%) were observed, and CDS-recommended orders were only signed about one-third of the time from within the alert. The percentage of orders that were signed after being placed within the alert was higher for medication initiation than for medication titration (33% vs 12.0% for angiotensin-converting enzyme inhibitors (ACEi), 38.8% vs 14% for angiotensin II receptor blockers (ARB).</p><p><strong>Discussion: </strong>Findings suggest that users are hesitant to commit to immediate action within the alert.</p><p><strong>Conclusion: </strong>Evaluating user interaction within alerts reveals nuances in physician preferences and workflow that should inform CDS alert design.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Clinical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2554-3969","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To examine user actions within a clinical decision support (CDS) alert addressing hypertension (HTN) in chronic kidney disease (CKD).

Methods: A pragmatic randomized controlled trial of a CDS alert for primary care patients with CKD and uncontrolled blood pressure included pre-checked default orders for medication initiation or titration, basic metabolic panel (BMP), and nephrology electronic consult. We examined each type of action and calculated percentages of placed and signed orders for subgroups of firings.

Results: There were firings for medication initiation (813) and medication titration (430), and every firing also included orders for nephrology electronic consult (1243) and BMP (1243). High rates of override (59.6%) and deferral (14.6%) were observed, and CDS-recommended orders were only signed about one-third of the time from within the alert. The percentage of orders that were signed after being placed within the alert was higher for medication initiation than for medication titration (33% vs 12.0% for angiotensin-converting enzyme inhibitors (ACEi), 38.8% vs 14% for angiotensin II receptor blockers (ARB).

Discussion: Findings suggest that users are hesitant to commit to immediate action within the alert.

Conclusion: Evaluating user interaction within alerts reveals nuances in physician preferences and workflow that should inform CDS alert design.

求助全文
约1分钟内获得全文 求助全文
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.
×
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