Learning curves for endobronchial ultrasound using cusum analysis

库苏姆 医学 学习曲线 能力(人力资源) 医学物理学 介绍 支气管内超声 三级转介中心 肺癌 肺科医生 放射科 支气管镜检查 外科 运营管理 重症监护医学 家庭医学 计算机科学 病理 心理学 社会心理学 经济 操作系统
作者
Samuel V. Kemp,S. H. El Batrawy,Richard Harrison,K Skwarski,Mohammed Munavvar,Antonella Roselli,K. Cusworth,Pallav L. Shah
出处
期刊:Thorax [BMJ]
卷期号:65 (6): 534-538 被引量:149
标识
DOI:10.1136/thx.2009.127274
摘要

Background

The assessment of medical trainees is becoming an increasingly prominent issue, with current methods having varying degrees of inherent subjectivity and bias. Cusum analysis is a technique used in quality control systems, and is starting to be employed in medical training. Endobronchial ultrasound (EBUS) is an established tool in the diagnosis and staging of lung cancer, although its use in the UK is currently restricted. As it becomes more widespread, there will be a need to assess trainees9 competence accurately to ensure that those performing EBUS at new centres are appropriately skilled.

Methods

A retrospective review of clinical practice in tertiary referral centres in England, Scotland and Spain was carried out. The study group comprised 500 patients undergoing EBUS for the diagnosis and staging of lung cancer as part of a clinical service. Using cusum analysis, the first 100 cases from each of the five centres are presented. Each centre has one consultant physician as the primary EBUS operator, and all operators began using EBUS at their current centre (ie, no learning from prior experience). The data are presented as learning curves.

Results

It is evident that there is a wide range of time over which EBUS-guided transbronchial needle aspiration (TBNA) competence is attained. The pooled sensitivity was 67.4% (individual sensitivities 66.7, 70.7, 61.2, 80.3 and 59.7%).

Conclusion

Cusum analysis is well suited to the assessment of procedures with a binary outcome, but accurate and appropriate standards of practice must be determined prior to assessment to ensure correct identification of underperformance. This report suggests that the learning curve for EBUS is greater than previously reported using different methods, and that even experienced bronchoscopists vary in their speed of learning.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
糖宝完成签到 ,获得积分10
1秒前
KX2024完成签到,获得积分10
4秒前
松松发布了新的文献求助20
7秒前
nusiew完成签到,获得积分10
7秒前
huiluowork完成签到 ,获得积分10
8秒前
陶醉的翠霜完成签到 ,获得积分10
8秒前
8秒前
冷静如松完成签到 ,获得积分10
15秒前
17秒前
浮云完成签到 ,获得积分10
18秒前
屈岂愈完成签到,获得积分10
19秒前
33秒前
Pupil完成签到,获得积分10
33秒前
偏偏意气用事完成签到,获得积分10
34秒前
安安完成签到,获得积分10
38秒前
cttc完成签到,获得积分10
39秒前
Chnimike完成签到 ,获得积分10
39秒前
43秒前
红茸茸羊完成签到 ,获得积分10
43秒前
年轻千愁完成签到 ,获得积分10
45秒前
liu完成签到,获得积分10
46秒前
量子星尘发布了新的文献求助10
46秒前
Wanyeweiyu完成签到,获得积分10
48秒前
Fury完成签到 ,获得积分10
53秒前
风中幻梦完成签到,获得积分10
55秒前
bigpluto完成签到,获得积分10
56秒前
58秒前
是谁还没睡完成签到 ,获得积分10
59秒前
盘尼西林发布了新的文献求助10
1分钟前
zzz完成签到 ,获得积分10
1分钟前
dktrrrr完成签到,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
丘比特应助科研通管家采纳,获得20
1分钟前
1分钟前
ccc完成签到,获得积分10
1分钟前
萧秋灵完成签到,获得积分10
1分钟前
缓慢冥幽完成签到,获得积分10
1分钟前
旺仔同学完成签到,获得积分10
1分钟前
吉以寒完成签到,获得积分10
1分钟前
科研老兵完成签到,获得积分10
1分钟前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038066
求助须知:如何正确求助?哪些是违规求助? 3575779
关于积分的说明 11373801
捐赠科研通 3305584
什么是DOI,文献DOI怎么找? 1819239
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022