Suppr超能文献

一种新型拔管临床决策支持工具的实施与评估

: Implementation and Evaluation of A Novel Extubation Clinical Decision Support Tool.

作者信息

Hryciw Brett N, Hudek Natasha, Brehaut Jamie C, Herry Christophe, Scales Nathan, Lee Emma, Sarti Aimee J, Burns Karen E A, Seely Andrew J E

机构信息

Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Canada.

Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Canada.

出版信息

J Intensive Care Med. 2025 Apr;40(4):418-426. doi: 10.1177/08850666241291524. Epub 2024 Oct 24.

Abstract

Importance: Extubation Advisor (EA) is a novel software tool that generates a synoptic report for each Spontaneous Breathing Trial (SBT) conducted to inform extubation decision-making. Objectives: To assess bedside EA implementation, perceptions of utility, and identify barriers and facilitators of use. Design, Setting and Participants: We conducted a phase I mixed-methods interventional study in three mixed intensive care unit (ICUs) in two academic hospitals. We interviewed critical care physicians (MDs) and respiratory therapists (RTs) regarding user-centered design principles and usability. Analysis: We evaluated our ability to consent participants (feasibility threshold 50%), capture complete data (threshold 90%), generate and review EA reports in real-time (thresholds 75% and 80%, respectively), and MD perception of tool usefulness (6-point Likert scale). We analyzed interview transcripts using inductive coding to identify facilitators and barriers to EA implementation and perceived benefit of tool use. Results: We enrolled 31 patients who underwent 70 SBTs. Although consent rates [31/31 (100%], complete data capture [68/68 (100%)], and EA report generation [68/70 (97.1%)] exceeded feasibility thresholds, reports were reviewed by MDs for [55/70 (78.6%)] SBTs. Mean MD usefulness score was 4.0/6. Based on feedback obtained from 36 interviews (15 MDs, 21 RTs), we revised the EA report twice and identified facilitators (ability to track patient progress, enhance extubation decision-making, and provide support in resource-limited settings) and barriers (resource constraints, need for education) to tool implementation. Half of respondents (9 MDs, 9 RTs; combined 50%) perceived definite or potential benefit to EA tool use. Conclusion: This is the first study of a waveform-based variability-derived, predictive clinical decision support tool evaluated in adult ICUs. Our findings support the feasibility of integrating the EA tool into bedside workflow. Clinical trials are needed to assess the utility of the EA tool in practice and its impact on extubation decision-making and outcomes.Trial RegistrationNCT04708509.

摘要

重要性

拔管顾问(EA)是一种新型软件工具,可为每次进行的自主呼吸试验(SBT)生成一份概要报告,以辅助拔管决策。目的:评估床边EA的实施情况、对其效用的看法,并确定使用的障碍和促进因素。设计、设置和参与者:我们在两家学术医院的三个混合重症监护病房(ICU)进行了一项I期混合方法干预研究。我们就以用户为中心的设计原则和可用性采访了重症监护医生(MD)和呼吸治疗师(RT)。分析:我们评估了我们获得参与者同意的能力(可行性阈值为50%)、获取完整数据的能力(阈值为90%)、实时生成和审查EA报告的能力(阈值分别为75%和80%)以及MD对工具有用性的看法(6点李克特量表)。我们使用归纳编码分析访谈记录,以确定EA实施的促进因素和障碍以及工具使用的感知益处。结果:我们纳入了31例接受了70次SBT的患者。尽管同意率[31/31(100%)]、完整数据获取率[68/68(100%)]和EA报告生成率[68/70(97.1%)]超过了可行性阈值,但MD对[55/70(78.6%)]次SBT的报告进行了审查。MD的平均有用性评分为4.0/6。根据从36次访谈(15名MD,21名RT)中获得的反馈,我们对EA报告进行了两次修订,并确定了促进因素(跟踪患者进展、加强拔管决策以及在资源有限的环境中提供支持的能力)和工具实施的障碍(资源限制、教育需求)。一半的受访者(9名MD,9名RT;共50%)认为使用EA工具具有明确或潜在的益处。结论:这是第一项在成人ICU中评估基于波形变异性衍生的预测性临床决策支持工具的研究。我们的研究结果支持将EA工具整合到床边工作流程中的可行性。需要进行临床试验来评估EA工具在实践中的效用及其对拔管决策和结果的影响。试验注册NCT04708509。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验