Tele-Rapid Response Team (Tele-RRT): Implementation and outcomes of Safety Network System. Before and after cohort study

Author:

Balshi Ahmed N.,Al-Odat Mohammed A.,Alharthy Abdulrahman M.,Alshaya Rayan A.,Alenzi Hanan M.,Dambung Alhadzia S.,Mhawish Huda,Altamimi Saad M.,Aletreby Waleed Th.ORCID

Abstract

AbstractBackgroundRapid Response Teams were developed to provide interventions for deteriorating patients. Their activation depends on timely detection of deterioration. Automated calculation of warning signs may lead to early recognition, and improvement of RRT effectiveness.MethodThis was a “Before” and “After” study, in the “Before” period ward nurses activated RRT after manually recording vital signs and calculating warning scores. In the “After” period, vital signs and warning calculations were automatically relayed to RRT through a wireless monitoring network.ResultsThe “After” group had significantly lower incidence and rates of cardiopulmonary resuscitation compared to the “Before” group (2.3 / 1000 inpatient days versus 3.8 / 1000 inpatient days respectively, p = 0.01), the “Before” group had a significantly higher hospital length of stay, and significantly fewer visits by the RRT. In multivariable logistic regression model, being in the “After” group decreases odds of CPR by 30% (OR = 0.7 [95% CI: 0.44 – 0.97]; p = 0.02). There was no difference between groups in unplanned ICU admission or readmission.ConclusionAutomated activation of the RRT resulted in significant reduction of CPR events and rate, reduction of hospital length of stay, and increase in the number of visits by the RRT. There was no difference in unplanned ICU admission or readmission.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3