已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Decision‐making around admission to intensive care in the UK pre‐COVID‐19: a multicentre ethnographic study

医学 2019年冠状病毒病(COVID-19) 2019-20冠状病毒爆发 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 重症监护 民族志 临床决策 倍他科诺病毒 梅德林 重症监护医学 急诊医学 病毒学 内科学 传染病(医学专业) 爆发 疾病 法学 考古 历史 政治学
作者
Frances Griffiths,Mia Svantesson,Christopher Bassford,Jeremy Dale,Caroline Blake,Aimee McCreedy,Anne‐Marie Slowther
出处
期刊:Anaesthesia [Wiley]
卷期号:76 (4): 489-499 被引量:27
标识
DOI:10.1111/anae.15272
摘要

Summary Predicting who will benefit from admission to an intensive care unit is not straightforward and admission processes vary. Our aim was to understand how decisions to admit or not are made. We observed 55 decision‐making events in six NHS hospitals. We interviewed 30 referring and 43 intensive care doctors about these events. We describe the nature and context of the decision‐making and analysed how doctors make intensive care admission decisions. Such decisions are complex with intrinsic uncertainty, often urgent and made with incomplete information. While doctors aspire to make patient‐centred decisions, key challenges include: being overworked with lack of time; limited support from senior staff; and a lack of adequate staffing in other parts of the hospital that may be compromising patient safety. To reduce decision complexity, heuristic rules based on experience are often used to help think through the problem; for example, the patient’s functional status or clinical gestalt. The intensive care doctors actively managed relationships with referring doctors; acted as the hospital generalist for acutely ill patients; and brought calm to crisis situations. However, they frequently failed to elicit values and preferences from patients or family members. They were rarely explicit in balancing burdens and benefits of intensive care for patients, so consistency and equity cannot be judged. The use of a framework for intensive care admission decisions that reminds doctors to seek patient or family views and encourages explicit balancing of burdens and benefits could improve decision‐making. However, a supportive, adequately resourced context is also needed.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
内向的火车完成签到 ,获得积分10
1秒前
大大发布了新的文献求助10
1秒前
1秒前
炙热的夜雪完成签到 ,获得积分10
2秒前
青衫完成签到 ,获得积分10
3秒前
机智的馒头完成签到,获得积分10
4秒前
7秒前
8秒前
8秒前
丘比特应助科研通管家采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
9秒前
斯文败类应助机智的馒头采纳,获得10
9秒前
Jasper应助6666采纳,获得10
11秒前
hongping完成签到,获得积分10
14秒前
1717完成签到,获得积分10
14秒前
制冷剂完成签到 ,获得积分10
18秒前
20秒前
超级的千青完成签到 ,获得积分10
21秒前
FoxLY完成签到,获得积分10
21秒前
22秒前
深情的迎海完成签到,获得积分10
23秒前
lyw完成签到 ,获得积分10
24秒前
英俊的铭应助馍馍采纳,获得10
24秒前
25秒前
SiO2发布了新的文献求助10
26秒前
29秒前
酷波er应助知识学爆采纳,获得10
30秒前
衣裳薄完成签到,获得积分10
32秒前
Sunny完成签到 ,获得积分10
32秒前
科研通AI6.1应助刘艳阳采纳,获得10
35秒前
37秒前
kkk完成签到 ,获得积分10
38秒前
39秒前
科研通AI6.1应助YLC采纳,获得10
39秒前
hongping发布了新的文献求助10
39秒前
辣椒完成签到 ,获得积分10
40秒前
柔弱的纸鹤完成签到,获得积分10
40秒前
6666发布了新的文献求助10
41秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Electron Energy Loss Spectroscopy 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5779519
求助须知:如何正确求助?哪些是违规求助? 5648009
关于积分的说明 15451956
捐赠科研通 4910775
什么是DOI,文献DOI怎么找? 2642871
邀请新用户注册赠送积分活动 1590541
关于科研通互助平台的介绍 1544954