Le Lagadec Marie Danielle, Dwyer Trudy
313 Bourbong St, Mater Misericordiae Hospital Bundaberg, 4670 Queensland, Australia.
Building 18/G.06 Rockhampton, CQUniversity Australia, Bruce Highway, Rockhampton, Queensland 4702, Australia.
Aust Crit Care. 2017 Jul;30(4):211-218. doi: 10.1016/j.aucc.2016.10.003. Epub 2016 Nov 15.
Early warning systems (EWS) were developed as a means of alerting medical staff to patient clinical decline. Since 85% of severe adverse events are preceded by abnormal physiological signs, the patient bed-side vital signs observation chart has emerged as an EWS tool to help staff identify and quantify deteriorating patients. There are three broad categories of patient observation chart EWS: single or multiple parameter systems; aggregated weighted scoring systems; or combinations of single or multiple parameter and aggregated weighted scoring systems.
This scoping review is an overview of quantitative studies and systematic reviews examining the efficiency of the adult EWS charts in the recognition of in-hospital patient deterioration.
A broad search was undertaken of peer-reviewed publications, official government websites and databases housing research theses, using combinations of keywords and phrases.
CINAHL with full text; MedLine, PsycINFO, MasterFILE Premier, GreenFILE and ScienceDirect. Also, the Cochrane Library database, Department of Health government websites and Ethos, ProQuest and Trove databases were searched.
Paediatric, obstetric and intensive care studies, studies undertaken at the point of hospital admission or pre-admission, non-English publications and editorials.
Five hundred and sixty five publications, government documents, reports and theses were located of which 91 were considered and 21 were included in the scoping review. Of the 21 publications eight studies compared the efficacy of various EWS and 13 publications validated specific EWS.
There is low level quantitative evidence that EWS improve patient outcomes and strong anecdotal evidence that they augment the ability of the clinical staff to recognise and respond to patient decline, thus reducing the incidence of severe adverse events. Although aggregated weighted scoring systems are most frequently used, the efficiency of the specific EWS appears to be dependent on the patient cohort, facilities available and staff training and attitude. While the review demonstrates support for EWS, researchers caution that given the contribution of human factors to the EWS decision-making process, patient EWS charts alone cannot replace good clinical judgment.
早期预警系统(EWS)的开发旨在提醒医护人员注意患者临床状况的恶化。由于85%的严重不良事件之前会出现生理体征异常,患者床边生命体征观察表已成为一种早期预警系统工具,以帮助工作人员识别和量化病情恶化的患者。患者观察表早期预警系统主要有三大类:单参数或多参数系统;综合加权评分系统;或单参数或多参数与综合加权评分系统的组合。
本范围综述概述了定量研究和系统评价,这些研究和评价考察了成人早期预警系统图表在识别住院患者病情恶化方面的效率。
使用关键词和短语组合,对同行评审出版物、官方政府网站以及收录研究论文的数据库进行了广泛搜索。
CINAHL全文数据库;医学索引(MedLine)、心理学文摘数据库(PsycINFO)、综合参考数据库(MasterFILE Premier)、绿色档案数据库(GreenFILE)和科学Direct数据库。此外,还搜索了考克兰图书馆数据库、卫生部政府网站以及Ethos、ProQuest和Trove数据库。
儿科、产科和重症监护研究;在医院入院时或入院前进行的研究;非英文出版物和社论。
共找到565篇出版物、政府文件、报告和论文,其中91篇被纳入考虑,21篇被纳入范围综述。在这21篇出版物中,8项研究比较了各种早期预警系统的疗效;13篇出版物验证了特定的早期预警系统。
有低水平的定量证据表明早期预警系统可改善患者预后,并有强有力的传闻证据表明它们增强了临床工作人员识别和应对患者病情恶化的能力,从而降低了严重不良事件的发生率。虽然综合加权评分系统使用最为频繁,但特定早期预警系统的效率似乎取决于患者群体、可用设施以及工作人员培训和态度。虽然该综述表明对早期预警系统的支持,但研究人员提醒说,鉴于人为因素对早期预警系统决策过程的影响,仅靠患者早期预警系统图表无法取代良好的临床判断。