慢性肾脏疾病高血压管理的临床决策支持警报中的用户行为

IF 2.2 2区 医学 Q4 MEDICAL INFORMATICS
Applied Clinical Informatics Pub Date : 2025-05-01 Epub Date: 2025-03-17 DOI:10.1055/a-2554-3969
Lipika Samal, Sarah W Chen, Stuart Lipsitz, Heather J Baer, John L Kilgallon, Michael Gannon, Ryan Dunk, Weng Ian Chay, Richard Fay, Michael Sainlaire, Chenxi Gao, Matthew Wien, Pamela M Garabedian, Edward Wu, Hojjat Salmasian, David W Bates, Patricia C Dykes, Adam Wright, Allison B McCoy
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引用次数: 0

摘要

目的:研究慢性肾脏疾病(CKD)患者高血压(HTN)的临床决策支持(CDS)警报中的用户行为。方法:一项实用的随机对照试验,对CKD和血压不控制的初级保健患者进行CDS警报,包括预先检查的初始或滴定药物的默认订单,基础代谢小组(BMP)和肾脏病电子咨询。我们检查了每种类型的行动,并计算了射击子组下订单和签署订单的百分比。结果:有用药起始单(813次)和药物滴定单(430次),每单还包括肾内科电子会诊单(1243次)和BMP单(1243次)。观察到很高的撤销率(59.6%)和延迟率(14.6%),并且在警报范围内,cds推荐的订单仅在约三分之一的时间内签署。在警报范围内开始用药后签署的订单比例高于药物滴定(33% vs 12.0%血管紧张素转换酶抑制剂(ACEi), 38.8% vs 14%血管紧张素II受体阻滞剂(ARB))。讨论:调查结果表明,用户对在警报中立即采取行动犹豫不决。结论:评估警报中的用户交互揭示了医生偏好和工作流程的细微差别,应该为CDS警报设计提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

This study aimed to examine user actions within a clinical decision support (CDS) alert addressing hypertension (HTN) in chronic kidney disease (CKD).A pragmatic randomized controlled trial of a CDS alert for primary care patients with CKD and uncontrolled blood pressure included prechecked default orders for medication initiation or titration, basic metabolic panel (BMP), and nephrology electronic consult (e-consult). We examined each type of action and calculated percentages of placed and signed orders for subgroups of firings.There were firings for medication initiation (813) and medication titration (430), and every firing also included orders for nephrology e-consult (1,243) and BMP (1,243). 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] and 38.8 vs. 14% for angiotensin II receptor blockers [ARBs]). Findings suggest that users are hesitant to commit to immediate action within the alert.Evaluating user interaction within alerts reveals nuances in physician preferences and workflow that should inform CDS alert design. This study is registered with the Clinicaltrials.gov Trial Registration (identifier: NCT03679247).

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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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