Chrome Extension
WeChat Mini Program
Use on ChatGLM

Escalation Triggers and Expected Responses in Obstetric Early Warning Systems Used in UK Consultant-Led Maternity Units

RESUSCITATION PLUS(2021)

University of Birmingham | Malawi-Liverpool-Wellcome Trust Clinical Research Programme | Bournemouth University | University Hospital Southampton NHS Foundation Trust

Cited 0|Views3
Abstract
The use of obstetric early warning systems (OEWS) are recommended as an adjunct to reduce maternal morbidity and mortality. The aim of this review was to document the variation in OEWS trigger thresholds and the quality of information included within accompanying escalation protocols.A review of OEWS charts and escalation policies across consultant-led maternity units in the UK (n = 147) was conducted. OEWS charts were analysed for variation in the values of physiological parameters triggering different levels of clinical escalation. Relevant data within the escalation protocols were also searched for: urgency of clinical response; seniority of responder; frequency of on-going clinical monitoring; and clinical setting recommended for on-going care.The values of physiological parameters triggering specific clinical responses varied significantly between OEWS. Only 99 OEWS charts (67.3%) had an escalation protocol as part of the chart. For 29 charts (19.7%), the only escalation information included was generic, for example to "contact a doctor if triggers". Only 76 (51.7%) charts detailed the required seniority of responder, 37 (25.2%) the frequency for on-going clinical monitoring, eight (5.4%) the urgency of clinical response and two (1.4%) the recommended clinical setting for on-going care.The observed variations in the trigger thresholds used in OEWS charts and the quality of information included within the accompanying escalation protocols is likely to lead to suboptimal detection and response to clinical deterioration during pregnancy and the post-partum period. The development of a national OEWS and escalation protocol would help to standardise care across obstetric units.
More
Translated text
Key words
Emergency Department Crowding
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本研究旨在审查英国 consultant-led Maternity Units 中产科预警系统(OEWS)的触发阈值和伴随升级协议的信息质量,发现存在较大差异,建议制定国家标准的OEWS和升级协议以标准化护理。

方法】:通过审查147家单位的OEWS图表和升级政策,分析生理参数触发不同级别临床升级的值的变化,并搜索相关数据,包括临床响应的紧急性、响应者的资历、持续临床监测的频率以及推荐的持续护理的临床设置。

实验】:对英国147个 consultant-led Maternity Units 的OEWS图表和升级政策进行了分析,发现触发特定临床响应的生理参数值之间存在显著差异,仅有67.3%的图表包含升级协议,而各项具体信息如响应者的资历、监测频率、响应紧急性和推荐的护理设置等完整性的比例则更低。