Prognostic Factors Associated With Survival Distribution of Admission to Delayed Rapid Response Team Activation Among Deteriorating Patients: A Retrospective Study.

IF 3.8 3区 医学 Q1 NURSING Journal of Advanced Nursing Pub Date : 2024-11-28 DOI:10.1111/jan.16541
Qiuxia Zhang, Khuan Lee, Ping Qian, Zawiah Mansor, Iskasymar Ismail, Yi Guo, Poh Ying Lim
{"title":"Prognostic Factors Associated With Survival Distribution of Admission to Delayed Rapid Response Team Activation Among Deteriorating Patients: A Retrospective Study.","authors":"Qiuxia Zhang, Khuan Lee, Ping Qian, Zawiah Mansor, Iskasymar Ismail, Yi Guo, Poh Ying Lim","doi":"10.1111/jan.16541","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>To investigate the prevalence of rapid response team delays, survival distribution of admission to rapid response team delay and its prognostic factors.</p><p><strong>Design: </strong>A retrospective single-centre study.</p><p><strong>Methods: </strong>Data on rapid response team activations from 1 January 2018 to 31 December 2022 were retrieved from electronic medical records at a tertiary hospital in Hangzhou, China. All patients who met the eligibility criteria were included. Multivariable Cox regression analysis was conducted to analyse the data.</p><p><strong>Results: </strong>Out of 636 patients included, 18.4% (117) experienced a delay, with a median (interquartile range) of 8.5 (12) days from admission to rapid response team activation. Six significant prognostic factors were found to be associated with the higher hazard ratio of rapid response team delay, including call time (05:01 PM and 7:59 AM), emergency admission, a higher Modified Early Warning Score, an admission diagnosis of infection, a comorbidity of respiratory failure/Acute Respiratory Distress Syndrome and the absence of lung infection.</p><p><strong>Conclusion: </strong>The prevalence of rapid response team delays was lower, and the days from admission to rapid response team delay was longer than in previous studies. Healthcare providers are suggested to prioritise the care of high-risk patient groups and provide proactive monitoring to ensure timely identification and management.</p><p><strong>Implications for patient care: </strong>Implementing artificial intelligence in continuous monitoring systems for high-risk patients is recommended. The findings help nurses anticipate potential delays in rapid response team activation, enabling better preparedness.</p><p><strong>Impact: </strong>The study highlights the prevalence of rapid response team delays, timing from admission to rapid response team activation and six prognostic factors influencing delays. It could shape patient care and inform future research. Hospital administrators should review staffing, especially during night shifts, to minimise delays. Further qualitative research is needed to explore why nurses may delay rapid response team activation.</p><p><strong>Reporting method: </strong>The STROBE checklist was adhered to when reporting this study. 'No patient or public contribution'.</p>","PeriodicalId":54897,"journal":{"name":"Journal of Advanced Nursing","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jan.16541","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

Aims: To investigate the prevalence of rapid response team delays, survival distribution of admission to rapid response team delay and its prognostic factors.

Design: A retrospective single-centre study.

Methods: Data on rapid response team activations from 1 January 2018 to 31 December 2022 were retrieved from electronic medical records at a tertiary hospital in Hangzhou, China. All patients who met the eligibility criteria were included. Multivariable Cox regression analysis was conducted to analyse the data.

Results: Out of 636 patients included, 18.4% (117) experienced a delay, with a median (interquartile range) of 8.5 (12) days from admission to rapid response team activation. Six significant prognostic factors were found to be associated with the higher hazard ratio of rapid response team delay, including call time (05:01 PM and 7:59 AM), emergency admission, a higher Modified Early Warning Score, an admission diagnosis of infection, a comorbidity of respiratory failure/Acute Respiratory Distress Syndrome and the absence of lung infection.

Conclusion: The prevalence of rapid response team delays was lower, and the days from admission to rapid response team delay was longer than in previous studies. Healthcare providers are suggested to prioritise the care of high-risk patient groups and provide proactive monitoring to ensure timely identification and management.

Implications for patient care: Implementing artificial intelligence in continuous monitoring systems for high-risk patients is recommended. The findings help nurses anticipate potential delays in rapid response team activation, enabling better preparedness.

Impact: The study highlights the prevalence of rapid response team delays, timing from admission to rapid response team activation and six prognostic factors influencing delays. It could shape patient care and inform future research. Hospital administrators should review staffing, especially during night shifts, to minimise delays. Further qualitative research is needed to explore why nurses may delay rapid response team activation.

Reporting method: The STROBE checklist was adhered to when reporting this study. 'No patient or public contribution'.

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
与病情恶化患者入院到延迟启动快速反应小组的存活率分布相关的预后因素:一项回顾性研究。
目的:调查快速反应小组延误的发生率、入院快速反应小组延误的存活率分布及其预后因素:回顾性单中心研究:从中国杭州市一家三级甲等医院的电子病历中检索2018年1月1日至2022年12月31日期间快速反应小组启动的数据。所有符合资格标准的患者均被纳入研究。对数据进行了多变量考克斯回归分析:结果:在纳入的 636 名患者中,18.4%(117 人)的患者出现了延误,从入院到快速反应小组启动的中位数(四分位间距)为 8.5(12)天。研究发现,有六个重要的预后因素与快速反应小组延迟的较高风险比相关,包括呼叫时间(下午 05:01 和早上 7:59)、紧急入院、较高的改良早期预警评分、入院诊断为感染、合并呼吸衰竭/急性呼吸窘迫综合征以及无肺部感染:与之前的研究相比,快速反应小组延误的发生率较低,从入院到快速反应小组延误的天数较长。建议医疗服务提供者优先照顾高危患者群体,并提供主动监测,以确保及时发现和处理:对患者护理的启示:建议在高危患者的持续监测系统中应用人工智能。研究结果有助于护士预测快速反应小组启动时可能出现的延误,从而更好地做好准备:该研究强调了快速反应小组延误的普遍性、从入院到快速反应小组启动的时间以及影响延误的六个预后因素。该研究可为患者护理和未来研究提供参考。医院管理者应审查人员配备,尤其是夜班期间的人员配备,以尽量减少延误。需要进一步开展定性研究,探讨护士为何会延迟启动快速反应小组:报告方法:在报告本研究时,遵循了 STROBE 检查表。无患者或公众贡献"。
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
6.40
自引率
7.90%
发文量
369
审稿时长
3 months
期刊介绍: The Journal of Advanced Nursing (JAN) contributes to the advancement of evidence-based nursing, midwifery and healthcare by disseminating high quality research and scholarship of contemporary relevance and with potential to advance knowledge for practice, education, management or policy. All JAN papers are required to have a sound scientific, evidential, theoretical or philosophical base and to be critical, questioning and scholarly in approach. As an international journal, JAN promotes diversity of research and scholarship in terms of culture, paradigm and healthcare context. For JAN’s worldwide readership, authors are expected to make clear the wider international relevance of their work and to demonstrate sensitivity to cultural considerations and differences.
期刊最新文献
The Impact of Technostress, Nursing Informatics Competency and Knowledge-Sharing Behaviour on Nursing Work Performance Among Tertiary Hospital Nurses Prognostic Factors Associated With Survival Distribution of Admission to Delayed Rapid Response Team Activation Among Deteriorating Patients: A Retrospective Study. Nurses' Perceptions of Organisational Attractiveness and Related Factors in Health Care: A Mixed Methods Systematic Review Patients' Ability to Self-Manage Their Surgical Wound to Prevent Wound Complications: A Cross-Sectional Study Relationships Among Growth Mindset, Turnover Tendency, Workplace Adaptability and Essentials of Magnetism of New Nurses: A Moderated Mediation Model
×
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