The effect of intelligent management interventions in intensive care units to reduce false alarms: An integrative review

IF 2.9 3区 医学 Q1 NURSING International Journal of Nursing Sciences Pub Date : 2024-01-01 DOI:10.1016/j.ijnss.2023.12.008
Bingyu Li , Liqing Yue , Huiyu Nie , Ziwei Cao , Xiaoya Chai , Bin Peng , Tiange Zhang , Weihong Huang
{"title":"The effect of intelligent management interventions in intensive care units to reduce false alarms: An integrative review","authors":"Bingyu Li ,&nbsp;Liqing Yue ,&nbsp;Huiyu Nie ,&nbsp;Ziwei Cao ,&nbsp;Xiaoya Chai ,&nbsp;Bin Peng ,&nbsp;Tiange Zhang ,&nbsp;Weihong Huang","doi":"10.1016/j.ijnss.2023.12.008","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>In intensive care units (ICU), frequent false alarms from medical equipment can cause alarm fatigue among nurses, which might lead to delayed or missed responses and increased risk of adverse patient events. This review was conducted to evaluate the effectiveness of intelligent management interventions to reduce false alarms in ICU.</p></div><div><h3>Method</h3><p>Following the framework of Whitmore and Knafl, the reviewers systematically searched six databases: PubMed, EMBASE, CINAHL, OVID, Cochrane Library, and Scopus, and studies included intelligent management of clinical alarms published in the English or Chinese language from the inception of each database to December 2022 were retrieved. The researchers used the PICOS framework to formulate the search strategy, developed keywords, screened literature, and assessed the studies’ quality using the Joanna Briggs Institute-Meta-Analysis of Statistics, Assessment, and Review Instrument (JBI-MAStARI). The review was preregistered on PROSPERO (CRD42023411552).</p></div><div><h3>Results</h3><p>Seven studies met the inclusion criteria. The results showed that different interventions for intelligent management of alarms were beneficial in reducing the number of false alarms, the duration of alarms, the response time to important alarms for nurses, and the alarm fatigue levels among nurses. Positive results were found in practice after the application of the novel alarm management approaches.</p></div><div><h3>Conclusion</h3><p>Intelligent management intervention may be an effective way to reduce false alarms. The application of systems or tools for the intelligent management of clinical alarms is urgent in hospitals. To ensure more effective patient monitoring and less distress for nurses, more alarm management approaches combined with artificial intelligence will be needed in the future to enable accurate identification of critical alarms, ensure nurses are responding accurately to alarms, and make a real difference to alarm-ridden healthcare environments.</p></div>","PeriodicalId":37848,"journal":{"name":"International Journal of Nursing Sciences","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352013223001503/pdfft?md5=b7f8f52b93e47bd9e723231a0d12061a&pid=1-s2.0-S2352013223001503-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352013223001503","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

In intensive care units (ICU), frequent false alarms from medical equipment can cause alarm fatigue among nurses, which might lead to delayed or missed responses and increased risk of adverse patient events. This review was conducted to evaluate the effectiveness of intelligent management interventions to reduce false alarms in ICU.

Method

Following the framework of Whitmore and Knafl, the reviewers systematically searched six databases: PubMed, EMBASE, CINAHL, OVID, Cochrane Library, and Scopus, and studies included intelligent management of clinical alarms published in the English or Chinese language from the inception of each database to December 2022 were retrieved. The researchers used the PICOS framework to formulate the search strategy, developed keywords, screened literature, and assessed the studies’ quality using the Joanna Briggs Institute-Meta-Analysis of Statistics, Assessment, and Review Instrument (JBI-MAStARI). The review was preregistered on PROSPERO (CRD42023411552).

Results

Seven studies met the inclusion criteria. The results showed that different interventions for intelligent management of alarms were beneficial in reducing the number of false alarms, the duration of alarms, the response time to important alarms for nurses, and the alarm fatigue levels among nurses. Positive results were found in practice after the application of the novel alarm management approaches.

Conclusion

Intelligent management intervention may be an effective way to reduce false alarms. The application of systems or tools for the intelligent management of clinical alarms is urgent in hospitals. To ensure more effective patient monitoring and less distress for nurses, more alarm management approaches combined with artificial intelligence will be needed in the future to enable accurate identification of critical alarms, ensure nurses are responding accurately to alarms, and make a real difference to alarm-ridden healthcare environments.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
重症监护病房智能管理干预对减少误报的影响:综述
目的在重症监护病房(ICU)中,医疗设备频繁发出错误警报可能会引起护士的警报疲劳,从而可能导致延迟或错过反应,增加患者不良事件的风险。本综述旨在评估智能管理干预措施对减少重症监护室误报的有效性。方法按照 Whitmore 和 Knafl 的框架,综述者系统地检索了六个数据库:方法按照 Whitmore 和 Knafl 的框架,审稿人系统地检索了 PubMed、EMBASE、CINAHL、OVID、Cochrane Library 和 Scopus 六个数据库,检索了自各数据库建立至 2022 年 12 月期间以英文或中文发表的包括临床警报智能管理的研究。研究人员使用 PICOS 框架制定检索策略、开发关键词、筛选文献,并使用 Joanna Briggs Institute-Meta-Analysis of Statistics, Assessment, and Review Instrument(JBI-MAStARI)评估研究质量。结果有七项研究符合纳入标准。结果表明,对警报进行智能管理的不同干预措施有利于减少误报次数、警报持续时间、护士对重要警报的响应时间以及护士的警报疲劳程度。结论智能管理干预可能是减少误报的有效方法。医院急需应用系统或工具对临床警报进行智能管理。为了确保更有效地监护病人,减少护士的痛苦,未来需要更多与人工智能相结合的警报管理方法,以准确识别关键警报,确保护士对警报做出准确反应,并真正改善警报频发的医疗环境。
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 去求助
来源期刊
CiteScore
6.10
自引率
2.60%
发文量
408
审稿时长
25 days
期刊介绍: This journal aims to promote excellence in nursing and health care through the dissemination of the latest, evidence-based, peer-reviewed clinical information and original research, providing an international platform for exchanging knowledge, research findings and nursing practice experience. This journal covers a wide range of nursing topics such as advanced nursing practice, bio-psychosocial issues related to health, cultural perspectives, lifestyle change as a component of health promotion, chronic disease, including end-of-life care, family care giving. IJNSS publishes four issues per year in Jan/Apr/Jul/Oct. IJNSS intended readership includes practicing nurses in all spheres and at all levels who are committed to advancing practice and professional development on the basis of new knowledge and evidence; managers and senior members of the nursing; nurse educators and nursing students etc. IJNSS seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Contributions are welcomed from other health professions on issues that have a direct impact on nursing practice.
期刊最新文献
Editorial Board Contents Scanning resources to build an international nursing knowledge network Effectiveness of nurse-led heart failure clinic: A systematic review Reliability and validity of the Italian Version of the Chase Nurse Manager Competencies Scale
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1